diff --git a/.github/ISSUE_TEMPLATE/FEATURE_REQUEST.yml b/.github/ISSUE_TEMPLATE/FEATURE_REQUEST.yml index 6fb80be593..6d43d447f4 100644 --- a/.github/ISSUE_TEMPLATE/FEATURE_REQUEST.yml +++ b/.github/ISSUE_TEMPLATE/FEATURE_REQUEST.yml @@ -1,5 +1,5 @@ name: Feature Request -description: Commit a idea or Request a new feature +description: Contribute a idea or request a new feature title: '[enhancement]: ' labels: ['enhancement'] # assignees: @@ -9,14 +9,14 @@ body: - type: markdown attributes: value: | - Thanks for taking the time to fill out this Feature request! + Thanks for taking the time to fill out this feature request! - type: checkboxes attributes: label: Is there an existing issue for this? description: | Please make use of the [search function](https://github.com/invoke-ai/InvokeAI/labels/enhancement) - to see if a simmilar issue already exists for the feature you want to request + to see if a similar issue already exists for the feature you want to request options: - label: I have searched the existing issues required: true @@ -34,12 +34,9 @@ body: id: whatisexpected attributes: label: What should this feature add? - description: Please try to explain the functionality this feature should add + description: Explain the functionality this feature should add. Feature requests should be for single features. Please create multiple requests if you want to request multiple features. placeholder: | - Instead of one huge textfield, it would be nice to have forms for bug-reports, feature-requests, ... - Great benefits with automatic labeling, assigning and other functionalitys not available in that form - via old-fashioned markdown-templates. I would also love to see the use of a moderator bot 🤖 like - https://github.com/marketplace/actions/issue-moderator-with-commands to auto close old issues and other things + I'd like a button that creates an image of banana sushi every time I press it. Each image should be different. There should be a toggle next to the button that enables strawberry mode, in which the images are of strawberry sushi instead. validations: required: true @@ -51,6 +48,6 @@ body: - type: textarea attributes: - label: Aditional Content + label: Additional Content description: Add any other context or screenshots about the feature request here. - placeholder: This is a Mockup of the design how I imagine it + placeholder: This is a mockup of the design how I imagine it diff --git a/.github/workflows/style-checks.yml b/.github/workflows/style-checks.yml index 96e1df406b..08ff8ba402 100644 --- a/.github/workflows/style-checks.yml +++ b/.github/workflows/style-checks.yml @@ -1,6 +1,4 @@ name: style checks -# just formatting and flake8 for now -# TODO: add isort later on: pull_request: @@ -20,8 +18,8 @@ jobs: - name: Install dependencies with pip run: | - pip install black flake8 Flake8-pyproject + pip install black flake8 Flake8-pyproject isort - # - run: isort --check-only . + - run: isort --check-only . - run: black --check . - run: flake8 diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 9ef8b79e77..6cff07a959 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -15,3 +15,10 @@ repos: language: system entry: flake8 types: [python] + + - id: isort + name: isort + stages: [commit] + language: system + entry: isort + types: [python] \ No newline at end of file diff --git a/README.md b/README.md index c40b9ef418..15c5747ea8 100644 --- a/README.md +++ b/README.md @@ -46,13 +46,13 @@ the foundation for multiple commercial products. Install](https://invoke-ai.github.io/InvokeAI/installation/INSTALLATION/)] [Discord Server] [Documentation and - Tutorials] [Code and - Downloads] [Bug Reports] + Tutorials] + [Bug Reports] [Discussion, - Ideas & Q&A] + Ideas & Q&A] + [Contributing]
@@ -368,9 +368,9 @@ InvokeAI offers a locally hosted Web Server & React Frontend, with an industry l The Unified Canvas is a fully integrated canvas implementation with support for all core generation capabilities, in/outpainting, brush tools, and more. This creative tool unlocks the capability for artists to create with AI as a creative collaborator, and can be used to augment AI-generated imagery, sketches, photography, renders, and more. -### *Node Architecture & Editor (Beta)* +### *Workflows & Nodes* -Invoke AI's backend is built on a graph-based execution architecture. This allows for customizable generation pipelines to be developed by professional users looking to create specific workflows to support their production use-cases, and will be extended in the future with additional capabilities. +InvokeAI offers a fully featured workflow management solution, enabling users to combine the power of nodes based workflows with the easy of a UI. This allows for customizable generation pipelines to be developed and shared by users looking to create specific workflows to support their production use-cases. ### *Board & Gallery Management* @@ -383,8 +383,9 @@ Invoke AI provides an organized gallery system for easily storing, accessing, an - *Upscaling Tools* - *Embedding Manager & Support* - *Model Manager & Support* +- *Workflow creation & management* - *Node-Based Architecture* -- *Node-Based Plug-&-Play UI (Beta)* + ### Latest Changes @@ -395,20 +396,18 @@ Notes](https://github.com/invoke-ai/InvokeAI/releases) and the ### Troubleshooting Please check out our **[Q&A](https://invoke-ai.github.io/InvokeAI/help/TROUBLESHOOT/#faq)** to get solutions for common installation -problems and other issues. +problems and other issues. For more help, please join our [Discord][discord link] ## Contributing Anyone who wishes to contribute to this project, whether documentation, features, bug fixes, code cleanup, testing, or code reviews, is very much encouraged to do so. -To join, just raise your hand on the InvokeAI Discord server (#dev-chat) or the GitHub discussion board. - -If you'd like to help with translation, please see our [translation guide](docs/other/TRANSLATION.md). +Get started with contributing by reading our [Contribution documentation](https://invoke-ai.github.io/InvokeAI/contributing/CONTRIBUTING/), joining the [#dev-chat](https://discord.com/channels/1020123559063990373/1049495067846524939) or the GitHub discussion board. If you are unfamiliar with how -to contribute to GitHub projects, here is a -[Getting Started Guide](https://opensource.com/article/19/7/create-pull-request-github). A full set of contribution guidelines, along with templates, are in progress. You can **make your pull request against the "main" branch**. +to contribute to GitHub projects, we have a new contributor checklist you can follow to get started contributing: +[New Contributor Checklist](https://invoke-ai.github.io/InvokeAI/contributing/contribution_guides/newContributorChecklist/). We hope you enjoy using our software as much as we enjoy creating it, and we hope that some of those of you who are reading this will elect @@ -424,7 +423,7 @@ their time, hard work and effort. ### Support -For support, please use this repository's GitHub Issues tracking service, or join the Discord. +For support, please use this repository's GitHub Issues tracking service, or join the [Discord][discord link]. Original portions of the software are Copyright (c) 2023 by respective contributors. diff --git a/docs/assets/nodes/groupsallscale.png b/docs/assets/nodes/groupsallscale.png index aa67db9a3e..5a12fe9e13 100644 Binary files a/docs/assets/nodes/groupsallscale.png and b/docs/assets/nodes/groupsallscale.png differ diff --git a/docs/assets/nodes/groupsconditioning.png b/docs/assets/nodes/groupsconditioning.png index bb0e210f42..cf38a00290 100644 Binary files a/docs/assets/nodes/groupsconditioning.png and b/docs/assets/nodes/groupsconditioning.png differ diff --git a/docs/assets/nodes/groupscontrol.png b/docs/assets/nodes/groupscontrol.png index ad696c3087..f2e3d43e7d 100644 Binary files a/docs/assets/nodes/groupscontrol.png and b/docs/assets/nodes/groupscontrol.png differ diff --git a/docs/assets/nodes/groupsimgvae.png b/docs/assets/nodes/groupsimgvae.png index c60bf40d67..ae6967cab1 100644 Binary files a/docs/assets/nodes/groupsimgvae.png and b/docs/assets/nodes/groupsimgvae.png differ diff --git a/docs/assets/nodes/groupsiterate.png b/docs/assets/nodes/groupsiterate.png index 9c1cd15bc2..82ec8bf020 100644 Binary files a/docs/assets/nodes/groupsiterate.png and b/docs/assets/nodes/groupsiterate.png differ diff --git a/docs/assets/nodes/groupslora.png b/docs/assets/nodes/groupslora.png index befcee6490..736aff5914 100644 Binary files a/docs/assets/nodes/groupslora.png and b/docs/assets/nodes/groupslora.png differ diff --git a/docs/assets/nodes/groupsmultigenseeding.png b/docs/assets/nodes/groupsmultigenseeding.png index a644146c86..b54ec2afb7 100644 Binary files a/docs/assets/nodes/groupsmultigenseeding.png and b/docs/assets/nodes/groupsmultigenseeding.png differ diff --git a/docs/assets/nodes/groupsnoise.png b/docs/assets/nodes/groupsnoise.png index 2df51d434e..c825e314ae 100644 Binary files a/docs/assets/nodes/groupsnoise.png and b/docs/assets/nodes/groupsnoise.png differ diff --git a/docs/assets/nodes/groupsrandseed.png b/docs/assets/nodes/groupsrandseed.png index 06430cdee4..9b8bcfdb17 100644 Binary files a/docs/assets/nodes/groupsrandseed.png and b/docs/assets/nodes/groupsrandseed.png differ diff --git a/docs/assets/nodes/linearview.png b/docs/assets/nodes/linearview.png new file mode 100644 index 0000000000..0dc28534e3 Binary files /dev/null and b/docs/assets/nodes/linearview.png differ diff --git a/docs/assets/prompt_syntax/sdxl-prompt-concatenated.png b/docs/assets/prompt_syntax/sdxl-prompt-concatenated.png new file mode 100644 index 0000000000..8d5336da3d Binary files /dev/null and b/docs/assets/prompt_syntax/sdxl-prompt-concatenated.png differ diff --git a/docs/assets/prompt_syntax/sdxl-prompt.png b/docs/assets/prompt_syntax/sdxl-prompt.png new file mode 100644 index 0000000000..b85464c5ad Binary files /dev/null and b/docs/assets/prompt_syntax/sdxl-prompt.png differ diff --git a/docs/contributing/CONTRIBUTING.md b/docs/contributing/CONTRIBUTING.md index 29fea1cf59..ccaf4f2561 100644 --- a/docs/contributing/CONTRIBUTING.md +++ b/docs/contributing/CONTRIBUTING.md @@ -1,39 +1,41 @@ -# How to Contribute +# Contributing -## Welcome to Invoke AI Invoke AI originated as a project built by the community, and that vision carries forward today as we aim to build the best pro-grade tools available. We work together to incorporate the latest in AI/ML research, making these tools available in over 20 languages to artists and creatives around the world as part of our fully permissive OSS project designed for individual users to self-host and use. -## Contributing to Invoke AI +# Methods of Contributing to Invoke AI Anyone who wishes to contribute to InvokeAI, whether features, bug fixes, code cleanup, testing, code reviews, documentation or translation is very much encouraged to do so. -To join, just raise your hand on the InvokeAI Discord server (#dev-chat) or the GitHub discussion board. +## Development +If you’d like to help with development, please see our [development guide](contribution_guides/development.md). -### Areas of contribution: +**New Contributors:** If you’re unfamiliar with contributing to open source projects, take a look at our [new contributor guide](contribution_guides/newContributorChecklist.md). -#### Development -If you’d like to help with development, please see our [development guide](contribution_guides/development.md). If you’re unfamiliar with contributing to open source projects, there is a tutorial contained within the development guide. +## Nodes +If you’d like to add a Node, please see our [nodes contribution guide](../nodes/contributingNodes.md). -#### Nodes -If you’d like to help with development, please see our [nodes contribution guide](/nodes/contributingNodes). If you’re unfamiliar with contributing to open source projects, there is a tutorial contained within the development guide. +## Support and Triaging +Helping support other users in [Discord](https://discord.gg/ZmtBAhwWhy) and on Github are valuable forms of contribution that we greatly appreciate. -#### Documentation +We receive many issues and requests for help from users. We're limited in bandwidth relative to our the user base, so providing answers to questions or helping identify causes of issues is very helpful. By doing this, you enable us to spend time on the highest priority work. + +## Documentation If you’d like to help with documentation, please see our [documentation guide](contribution_guides/documentation.md). -#### Translation +## Translation If you'd like to help with translation, please see our [translation guide](contribution_guides/translation.md). -#### Tutorials +## Tutorials Please reach out to @imic or @hipsterusername on [Discord](https://discord.gg/ZmtBAhwWhy) to help create tutorials for InvokeAI. We hope you enjoy using our software as much as we enjoy creating it, and we hope that some of those of you who are reading this will elect to become part of our contributor community. -### Contributors +# Contributors This project is a combined effort of dedicated people from across the world. [Check out the list of all these amazing people](https://invoke-ai.github.io/InvokeAI/other/CONTRIBUTORS/). We thank them for their time, hard work and effort. -### Code of Conduct +# Code of Conduct The InvokeAI community is a welcoming place, and we want your help in maintaining that. Please review our [Code of Conduct](https://github.com/invoke-ai/InvokeAI/blob/main/CODE_OF_CONDUCT.md) to learn more - it's essential to maintaining a respectful and inclusive environment. @@ -47,8 +49,7 @@ By making a contribution to this project, you certify that: This disclaimer is not a license and does not grant any rights or permissions. You must obtain necessary permissions and licenses, including from third parties, before contributing to this project. This disclaimer is provided "as is" without warranty of any kind, whether expressed or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose, or non-infringement. In no event shall the authors or copyright holders be liable for any claim, damages, or other liability, whether in an action of contract, tort, or otherwise, arising from, out of, or in connection with the contribution or the use or other dealings in the contribution. - -### Support +# Support For support, please use this repository's [GitHub Issues](https://github.com/invoke-ai/InvokeAI/issues), or join the [Discord](https://discord.gg/ZmtBAhwWhy). diff --git a/docs/contributing/contribution_guides/development_guides/contributingToFrontend.md b/docs/contributing/contribution_guides/contributingToFrontend.md similarity index 100% rename from docs/contributing/contribution_guides/development_guides/contributingToFrontend.md rename to docs/contributing/contribution_guides/contributingToFrontend.md diff --git a/docs/contributing/contribution_guides/development.md b/docs/contributing/contribution_guides/development.md index a867c7fa1f..fcfb82c811 100644 --- a/docs/contributing/contribution_guides/development.md +++ b/docs/contributing/contribution_guides/development.md @@ -4,14 +4,21 @@ If you are looking to help to with a code contribution, InvokeAI uses several different technologies under the hood: Python (Pydantic, FastAPI, diffusers) and Typescript (React, Redux Toolkit, ChakraUI, Mantine, Konva). Familiarity with StableDiffusion and image generation concepts is helpful, but not essential. -For more information, please review our area specific documentation: + +## **Get Started** + +To get started, take a look at our [new contributors checklist](newContributorChecklist.md) + +Once you're setup, for more information, you can review the documentation specific to your area of interest: * #### [InvokeAI Architecure](../ARCHITECTURE.md) * #### [Frontend Documentation](development_guides/contributingToFrontend.md) * #### [Node Documentation](../INVOCATIONS.md) * #### [Local Development](../LOCAL_DEVELOPMENT.md) -If you don't feel ready to make a code contribution yet, no problem! You can also help out in other ways, such as [documentation](documentation.md) or [translation](translation.md). + + +If you don't feel ready to make a code contribution yet, no problem! You can also help out in other ways, such as [documentation](documentation.md), [translation](translation.md) or helping support other users and triage issues as they're reported in GitHub. There are two paths to making a development contribution: @@ -23,60 +30,10 @@ There are two paths to making a development contribution: ## Best Practices: * Keep your pull requests small. Smaller pull requests are more likely to be accepted and merged -* Comments! Commenting your code helps reviwers easily understand your contribution +* Comments! Commenting your code helps reviewers easily understand your contribution * Use Python and Typescript’s typing systems, and consider using an editor with [LSP](https://microsoft.github.io/language-server-protocol/) support to streamline development * Make all communications public. This ensure knowledge is shared with the whole community -## **How do I make a contribution?** - -Never made an open source contribution before? Wondering how contributions work in our project? Here's a quick rundown! - -Before starting these steps, ensure you have your local environment [configured for development](../LOCAL_DEVELOPMENT.md). - -1. Find a [good first issue](https://github.com/invoke-ai/InvokeAI/contribute) that you are interested in addressing or a feature that you would like to add. Then, reach out to our team in the [#dev-chat](https://discord.com/channels/1020123559063990373/1049495067846524939) channel of the Discord to ensure you are setup for success. -2. Fork the [InvokeAI](https://github.com/invoke-ai/InvokeAI) repository to your GitHub profile. This means that you will have a copy of the repository under **your-GitHub-username/InvokeAI**. -3. Clone the repository to your local machine using: - -```bash -git clone https://github.com/your-GitHub-username/InvokeAI.git -``` - -If you're unfamiliar with using Git through the commandline, [GitHub Desktop](https://desktop.github.com) is a easy-to-use alternative with a UI. You can do all the same steps listed here, but through the interface. - -4. Create a new branch for your fix using: - -```bash -git checkout -b branch-name-here -``` - -5. Make the appropriate changes for the issue you are trying to address or the feature that you want to add. -6. Add the file contents of the changed files to the "snapshot" git uses to manage the state of the project, also known as the index: - -```bash -git add insert-paths-of-changed-files-here -``` - -7. Store the contents of the index with a descriptive message. - -```bash -git commit -m "Insert a short message of the changes made here" -``` - -8. Push the changes to the remote repository using - -```markdown -git push origin branch-name-here -``` - -9. Submit a pull request to the **main** branch of the InvokeAI repository. -10. Title the pull request with a short description of the changes made and the issue or bug number associated with your change. For example, you can title an issue like so "Added more log outputting to resolve #1234". -11. In the description of the pull request, explain the changes that you made, any issues you think exist with the pull request you made, and any questions you have for the maintainer. It's OK if your pull request is not perfect (no pull request is), the reviewer will be able to help you fix any problems and improve it! -12. Wait for the pull request to be reviewed by other collaborators. -13. Make changes to the pull request if the reviewer(s) recommend them. -14. Celebrate your success after your pull request is merged! - -If you’d like to learn more about contributing to Open Source projects, here is a [Getting Started Guide](https://opensource.com/article/19/7/create-pull-request-github). - ## **Where can I go for help?** If you need help, you can ask questions in the [#dev-chat](https://discord.com/channels/1020123559063990373/1049495067846524939) channel of the Discord. @@ -85,6 +42,7 @@ For frontend related work, **@pyschedelicious** is the best person to reach out For backend related work, please reach out to **@blessedcoolant**, **@lstein**, **@StAlKeR7779** or **@pyschedelicious**. + ## **What does the Code of Conduct mean for me?** Our [Code of Conduct](CODE_OF_CONDUCT.md) means that you are responsible for treating everyone on the project with respect and courtesy regardless of their identity. If you are the victim of any inappropriate behavior or comments as described in our Code of Conduct, we are here for you and will do the best to ensure that the abuser is reprimanded appropriately, per our code. diff --git a/docs/contributing/contribution_guides/newContributorChecklist.md b/docs/contributing/contribution_guides/newContributorChecklist.md new file mode 100644 index 0000000000..90725f99ab --- /dev/null +++ b/docs/contributing/contribution_guides/newContributorChecklist.md @@ -0,0 +1,68 @@ +# New Contributor Guide + +If you're a new contributor to InvokeAI or Open Source Projects, this is the guide for you. + +## New Contributor Checklist +- [x] Set up your local development environment & fork of InvokAI by following [the steps outlined here](../../installation/020_INSTALL_MANUAL.md#developer-install) +- [x] Set up your local tooling with [this guide](InvokeAI/contributing/LOCAL_DEVELOPMENT/#developing-invokeai-in-vscode). Feel free to skip this step if you already have tooling you're comfortable with. +- [x] Familiarize yourself with [Git](https://www.atlassian.com/git) & our project structure by reading through the [development documentation](development.md) +- [x] Join the [#dev-chat](https://discord.com/channels/1020123559063990373/1049495067846524939) channel of the Discord +- [x] Choose an issue to work on! This can be achieved by asking in the #dev-chat channel, tackling a [good first issue](https://github.com/invoke-ai/InvokeAI/contribute) or finding an item on the [roadmap](https://github.com/orgs/invoke-ai/projects/7). If nothing in any of those places catches your eye, feel free to work on something of interest to you! +- [x] Make your first Pull Request with the guide below +- [x] Happy development! Don't be afraid to ask for help - we're happy to help you contribute! + + +## How do I make a contribution? + +Never made an open source contribution before? Wondering how contributions work in our project? Here's a quick rundown! + +Before starting these steps, ensure you have your local environment [configured for development](../LOCAL_DEVELOPMENT.md). + +1. Find a [good first issue](https://github.com/invoke-ai/InvokeAI/contribute) that you are interested in addressing or a feature that you would like to add. Then, reach out to our team in the [#dev-chat](https://discord.com/channels/1020123559063990373/1049495067846524939) channel of the Discord to ensure you are setup for success. +2. Fork the [InvokeAI](https://github.com/invoke-ai/InvokeAI) repository to your GitHub profile. This means that you will have a copy of the repository under **your-GitHub-username/InvokeAI**. +3. Clone the repository to your local machine using: +```bash +git clone https://github.com/your-GitHub-username/InvokeAI.git +``` +If you're unfamiliar with using Git through the commandline, [GitHub Desktop](https://desktop.github.com) is a easy-to-use alternative with a UI. You can do all the same steps listed here, but through the interface. +4. Create a new branch for your fix using: +```bash +git checkout -b branch-name-here +``` +5. Make the appropriate changes for the issue you are trying to address or the feature that you want to add. +6. Add the file contents of the changed files to the "snapshot" git uses to manage the state of the project, also known as the index: +```bash +git add -A +``` +7. Store the contents of the index with a descriptive message. +```bash +git commit -m "Insert a short message of the changes made here" +``` +8. Push the changes to the remote repository using +```bash +git push origin branch-name-here +``` +9. Submit a pull request to the **main** branch of the InvokeAI repository. If you're not sure how to, [follow this guide](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/creating-a-pull-request) +10. Title the pull request with a short description of the changes made and the issue or bug number associated with your change. For example, you can title an issue like so "Added more log outputting to resolve #1234". +11. In the description of the pull request, explain the changes that you made, any issues you think exist with the pull request you made, and any questions you have for the maintainer. It's OK if your pull request is not perfect (no pull request is), the reviewer will be able to help you fix any problems and improve it! +12. Wait for the pull request to be reviewed by other collaborators. +13. Make changes to the pull request if the reviewer(s) recommend them. +14. Celebrate your success after your pull request is merged! + +If you’d like to learn more about contributing to Open Source projects, here is a [Getting Started Guide](https://opensource.com/article/19/7/create-pull-request-github). + + +## Best Practices: +* Keep your pull requests small. Smaller pull requests are more likely to be accepted and merged +* Comments! Commenting your code helps reviewers easily understand your contribution +* Use Python and Typescript’s typing systems, and consider using an editor with [LSP](https://microsoft.github.io/language-server-protocol/) support to streamline development +* Make all communications public. This ensure knowledge is shared with the whole community + + +## **Where can I go for help?** + +If you need help, you can ask questions in the [#dev-chat](https://discord.com/channels/1020123559063990373/1049495067846524939) channel of the Discord. + +For frontend related work, **@pyschedelicious** is the best person to reach out to. + +For backend related work, please reach out to **@blessedcoolant**, **@lstein**, **@StAlKeR7779** or **@pyschedelicious**. diff --git a/docs/features/CONCEPTS.md b/docs/features/CONCEPTS.md index 63f52d8a20..df9ee5bd26 100644 --- a/docs/features/CONCEPTS.md +++ b/docs/features/CONCEPTS.md @@ -21,8 +21,8 @@ TI files that you'll encounter are `.pt` and `.bin` files, which are produced by different TI training packages. InvokeAI supports both formats, but its [built-in TI training system](TRAINING.md) produces `.pt`. -The [Hugging Face company](https://huggingface.co/sd-concepts-library) has -amassed a large ligrary of >800 community-contributed TI files covering a +[Hugging Face](https://huggingface.co/sd-concepts-library) has +amassed a large library of >800 community-contributed TI files covering a broad range of subjects and styles. You can also install your own or others' TI files by placing them in the designated directory for the compatible model type diff --git a/docs/features/CONFIGURATION.md b/docs/features/CONFIGURATION.md index 6920d3d97f..cfd65f8a61 100644 --- a/docs/features/CONFIGURATION.md +++ b/docs/features/CONFIGURATION.md @@ -159,7 +159,7 @@ groups in `invokeia.yaml`: | `host` | `localhost` | Name or IP address of the network interface that the web server will listen on | | `port` | `9090` | Network port number that the web server will listen on | | `allow_origins` | `[]` | A list of host names or IP addresses that are allowed to connect to the InvokeAI API in the format `['host1','host2',...]` | -| `allow_credentials | `true` | Require credentials for a foreign host to access the InvokeAI API (don't change this) | +| `allow_credentials` | `true` | Require credentials for a foreign host to access the InvokeAI API (don't change this) | | `allow_methods` | `*` | List of HTTP methods ("GET", "POST") that the web server is allowed to use when accessing the API | | `allow_headers` | `*` | List of HTTP headers that the web server will accept when accessing the API | diff --git a/docs/features/CONTROLNET.md b/docs/features/CONTROLNET.md index faa2d7cdf3..42ed43146e 100644 --- a/docs/features/CONTROLNET.md +++ b/docs/features/CONTROLNET.md @@ -104,7 +104,7 @@ The OpenPose control model allows for the identification of the general pose of The MediaPipe Face identification processor is able to clearly identify facial features in order to capture vivid expressions of human faces. -**Tile (experimental)**: +**Tile**: The Tile model fills out details in the image to match the image, rather than the prompt. The Tile Model is a versatile tool that offers a range of functionalities. Its primary capabilities can be boiled down to two main behaviors: @@ -117,8 +117,6 @@ The Tile Model can be a powerful tool in your arsenal for enhancing image qualit With Pix2Pix, you can input an image into the controlnet, and then "instruct" the model to change it using your prompt. For example, you can say "Make it winter" to add more wintry elements to a scene. -**Inpaint**: Coming Soon - Currently this model is available but not functional on the Canvas. An upcoming release will provide additional capabilities for using this model when inpainting. - Each of these models can be adjusted and combined with other ControlNet models to achieve different results, giving you even more control over your image generation process. diff --git a/docs/features/MODEL_MERGING.md b/docs/features/MODEL_MERGING.md index 36e15ad0e4..6adf4db16a 100644 --- a/docs/features/MODEL_MERGING.md +++ b/docs/features/MODEL_MERGING.md @@ -2,17 +2,50 @@ title: Model Merging --- -# :material-image-off: Model Merging - -## How to Merge Models - -As of version 2.3, InvokeAI comes with a script that allows you to -merge two or three diffusers-type models into a new merged model. The +InvokeAI provides the ability to merge two or three diffusers-type models into a new merged model. The resulting model will combine characteristics of the original, and can be used to teach an old model new tricks. +## How to Merge Models + +Model Merging can be be done by navigating to the Model Manager and clicking the "Merge Models" tab. From there, you can select the models and settings you want to use to merge th models. + +## Settings + +* Model Selection: there are three multiple choice fields that + display all the diffusers-style models that InvokeAI knows about. + If you do not see the model you are looking for, then it is probably + a legacy checkpoint model and needs to be converted using the + `invoke` command-line client and its `!optimize` command. You + must select at least two models to merge. The third can be left at + "None" if you desire. + +* Alpha: This is the ratio to use when combining models. It ranges + from 0 to 1. The higher the value, the more weight is given to the + 2d and (optionally) 3d models. So if you have two models named "A" + and "B", an alpha value of 0.25 will give you a merged model that is + 25% A and 75% B. + +* Interpolation Method: This is the method used to combine + weights. The options are "weighted_sum" (the default), "sigmoid", + "inv_sigmoid" and "add_difference". Each produces slightly different + results. When three models are in use, only "add_difference" is + available. + +* Save Location: The location you want the merged model to be saved in. Default is in the InvokeAI root folder + +* Name for merged model: This is the name for the new model. Please + use InvokeAI conventions - only alphanumeric letters and the + characters ".+-". + +* Ignore Mismatches / Force: Not all models are compatible with each other. The merge + script will check for compatibility and refuse to merge ones that + are incompatible. Set this checkbox to try merging anyway. + + + You may run the merge script by starting the invoke launcher -(`invoke.sh` or `invoke.bat`) and choosing the option for _merge +(`invoke.sh` or `invoke.bat`) and choosing the option (4) for _merge models_. This will launch a text-based interactive user interface that prompts you to select the models to merge, how to merge them, and the merged model name. @@ -40,34 +73,4 @@ this to get back. If the merge runs successfully, it will create a new diffusers model under the selected name and register it with InvokeAI. -## The Settings - -* Model Selection -- there are three multiple choice fields that - display all the diffusers-style models that InvokeAI knows about. - If you do not see the model you are looking for, then it is probably - a legacy checkpoint model and needs to be converted using the - `invoke` command-line client and its `!optimize` command. You - must select at least two models to merge. The third can be left at - "None" if you desire. - -* Alpha -- This is the ratio to use when combining models. It ranges - from 0 to 1. The higher the value, the more weight is given to the - 2d and (optionally) 3d models. So if you have two models named "A" - and "B", an alpha value of 0.25 will give you a merged model that is - 25% A and 75% B. - -* Interpolation Method -- This is the method used to combine - weights. The options are "weighted_sum" (the default), "sigmoid", - "inv_sigmoid" and "add_difference". Each produces slightly different - results. When three models are in use, only "add_difference" is - available. (TODO: cite a reference that describes what these - interpolation methods actually do and how to decide among them). - -* Force -- Not all models are compatible with each other. The merge - script will check for compatibility and refuse to merge ones that - are incompatible. Set this checkbox to try merging anyway. - -* Name for merged model - This is the name for the new model. Please - use InvokeAI conventions - only alphanumeric letters and the - characters ".+-". diff --git a/docs/features/PROMPTS.md b/docs/features/PROMPTS.md index 66af903072..be11e4cce6 100644 --- a/docs/features/PROMPTS.md +++ b/docs/features/PROMPTS.md @@ -142,7 +142,7 @@ Prompt2prompt `.swap()` is not compatible with xformers, which will be temporari The `prompt2prompt` code is based off [bloc97's colab](https://github.com/bloc97/CrossAttentionControl). -### Escaping parentheses () and speech marks "" +### Escaping parentheses and speech marks If the model you are using has parentheses () or speech marks "" as part of its syntax, you will need to "escape" these using a backslash, so that`(my_keyword)` @@ -246,7 +246,7 @@ To create a Dynamic Prompt, follow these steps: Within the braces, separate each option using a vertical bar |. If you want to include multiple options from a single group, prefix with the desired number and $$. -For instance: A {house|apartment|lodge|cottage} in {summer|winter|autumn|spring} designed in {2$$style1|style2|style3}. +For instance: A {house|apartment|lodge|cottage} in {summer|winter|autumn|spring} designed in {style1|style2|style3}. ### How Dynamic Prompts Work Once a Dynamic Prompt is configured, the system generates an array of combinations using the options provided. Each group of options in curly braces is treated independently, with the system selecting one option from each group. For a prefixed set (e.g., 2$$), the system will select two distinct options. @@ -273,3 +273,36 @@ Below are some useful strategies for creating Dynamic Prompts: Experiment with different quantities for the prefix. For example, 3$$ will select three distinct options. Be aware of coherence in your prompts. Although the system can generate all possible combinations, not all may semantically make sense. Therefore, carefully choose the options for each group. Always review and fine-tune the generated prompts as needed. While Dynamic Prompts can help you generate a multitude of combinations, the final polishing and refining remain in your hands. + + +## SDXL Prompting + +Prompting with SDXL is slightly different than prompting with SD1.5 or SD2.1 models - SDXL expects a prompt _and_ a style. + + +### Prompting +
+ +![SDXL prompt boxes in InvokeAI](../assets/prompt_syntax/sdxl-prompt.png) + +
+ +In the prompt box, enter a positive or negative prompt as you normally would. + +For the style box you can enter a style that you want the image to be generated in. You can use styles from this example list, or any other style you wish: anime, photographic, digital art, comic book, fantasy art, analog film, neon punk, isometric, low poly, origami, line art, cinematic, 3d model, pixel art, etc. + + +### Concatenated Prompts + + +InvokeAI also has the option to concatenate the prompt and style inputs, by pressing the "link" button in the Positive Prompt box. + +This concatenates the prompt & style inputs, and passes the joined prompt and style to the SDXL model. +![SDXL concatenated prompt boxes in InvokeAI](../assets/prompt_syntax/sdxl-prompt-concatenated.png) + + + + + + + diff --git a/docs/features/TRAINING.md b/docs/features/TRAINING.md index 41197a334f..7be9aff0f2 100644 --- a/docs/features/TRAINING.md +++ b/docs/features/TRAINING.md @@ -43,27 +43,22 @@ into the directory InvokeAI 2.3 and higher comes with a text console-based training front end. From within the `invoke.sh`/`invoke.bat` Invoke launcher script, -start the front end by selecting choice (3): +start training tool selecting choice (3): ```sh -Do you want to generate images using the -1: Browser-based UI -2: Command-line interface -3: Run textual inversion training -4: Merge models (diffusers type only) -5: Download and install models -6: Change InvokeAI startup options -7: Re-run the configure script to fix a broken install -8: Open the developer console -9: Update InvokeAI -10: Command-line help -Q: Quit - -Please enter 1-10, Q: [1] +1 "Generate images with a browser-based interface" +2 "Explore InvokeAI nodes using a command-line interface" +3 "Textual inversion training" +4 "Merge models (diffusers type only)" +5 "Download and install models" +6 "Change InvokeAI startup options" +7 "Re-run the configure script to fix a broken install or to complete a major upgrade" +8 "Open the developer console" +9 "Update InvokeAI" ``` -From the command line, with the InvokeAI virtual environment active, -you can launch the front end with the command `invokeai-ti --gui`. +Alternatively, you can select option (8) or from the command line, with the InvokeAI virtual environment active, +you can then launch the front end with the command `invokeai-ti --gui`. This will launch a text-based front end that will look like this: diff --git a/docs/features/UTILITIES.md b/docs/features/UTILITIES.md new file mode 100644 index 0000000000..a73118d55a --- /dev/null +++ b/docs/features/UTILITIES.md @@ -0,0 +1,336 @@ +--- +title: Command-line Utilities +--- + +# :material-file-document: Utilities + +# Command-line Utilities + +InvokeAI comes with several scripts that are accessible via the +command line. To access these commands, start the "developer's +console" from the launcher (`invoke.bat` menu item [8]). Users who are +familiar with Python can alternatively activate InvokeAI's virtual +environment (typically, but not necessarily `invokeai/.venv`). + +In the developer's console, type the script's name to run it. To get a +synopsis of what a utility does and the command-line arguments it +accepts, pass it the `-h` argument, e.g. + +```bash +invokeai-merge -h +``` +## **invokeai-web** + +This script launches the web server and is effectively identical to +selecting option [1] in the launcher. An advantage of launching the +server from the command line is that you can override any setting +configuration option in `invokeai.yaml` using like-named command-line +arguments. For example, to temporarily change the size of the RAM +cache to 7 GB, you can launch as follows: + +```bash +invokeai-web --ram 7 +``` + +## **invokeai-merge** + +This is the model merge script, the same as launcher option [4]. Call +it with the `--gui` command-line argument to start the interactive +console-based GUI. Alternatively, you can run it non-interactively +using command-line arguments as illustrated in the example below which +merges models named `stable-diffusion-1.5` and `inkdiffusion` into a new model named +`my_new_model`: + +```bash +invokeai-merge --force --base-model sd-1 --models stable-diffusion-1.5 inkdiffusion --merged_model_name my_new_model +``` + +## **invokeai-ti** + +This is the textual inversion training script that is run by launcher +option [3]. Call it with `--gui` to run the interactive console-based +front end. It can also be run non-interactively. It has about a +zillion arguments, but a typical training session can be launched +with: + +```bash +invokeai-ti --model stable-diffusion-1.5 \ + --placeholder_token 'jello' \ + --learnable_property object \ + --num_train_epochs 50 \ + --train_data_dir /path/to/training/images \ + --output_dir /path/to/trained/model +``` + +(Note that \\ is the Linux/Mac long-line continuation character. Use ^ +in Windows). + +## **invokeai-install** + +This is the console-based model install script that is run by launcher +option [5]. If called without arguments, it will launch the +interactive console-based interface. It can also be used +non-interactively to list, add and remove models as shown by these +examples: + +* This will download and install three models from CivitAI, HuggingFace, +and local disk: + +```bash +invokeai-install --add https://civitai.com/api/download/models/161302 ^ + gsdf/Counterfeit-V3.0 ^ + D:\Models\merge_model_two.safetensors +``` +(Note that ^ is the Windows long-line continuation character. Use \\ on +Linux/Mac). + +* This will list installed models of type `main`: + +```bash +invokeai-model-install --list-models main +``` + +* This will delete the models named `voxel-ish` and `realisticVision`: + +```bash +invokeai-model-install --delete voxel-ish realisticVision +``` + +## **invokeai-configure** + +This is the console-based configure script that ran when InvokeAI was +first installed. You can run it again at any time to change the +configuration, repair a broken install. + +Called without any arguments, `invokeai-configure` enters interactive +mode with two screens. The first screen is a form that provides access +to most of InvokeAI's configuration options. The second screen lets +you download, add, and delete models interactively. When you exit the +second screen, the script will add any missing "support models" +needed for core functionality, and any selected "sd weights" which are +the model checkpoint/diffusers files. + +This behavior can be changed via a series of command-line +arguments. Here are some of the useful ones: + +* `invokeai-configure --skip-sd-weights --skip-support-models` +This will run just the configuration part of the utility, skipping +downloading of support models and stable diffusion weights. + +* `invokeai-configure --yes` +This will run the configure script non-interactively. It will set the +configuration options to their default values, install/repair support +models, and download the "recommended" set of SD models. + +* `invokeai-configure --yes --default_only` +This will run the configure script non-interactively. In contrast to +the previous command, it will only download the default SD model, +Stable Diffusion v1.5 + +* `invokeai-configure --yes --default_only --skip-sd-weights` +This is similar to the previous command, but will not download any +SD models at all. It is usually used to repair a broken install. + +By default, `invokeai-configure` runs on the currently active InvokeAI +root folder. To run it against a different root, pass it the `--root +` argument. + +Lastly, you can use `invokeai-configure` to create a working root +directory entirely from scratch. Assuming you wish to make a root directory +named `InvokeAI-New`, run this command: + +```bash +invokeai-configure --root InvokeAI-New --yes --default_only +``` +This will create a minimally functional root directory. You can now +launch the web server against it with `invokeai-web --root InvokeAI-New`. + +## **invokeai-update** + +This is the interactive console-based script that is run by launcher +menu item [9] to update to a new version of InvokeAI. It takes no +command-line arguments. + +## **invokeai-metadata** + +This is a script which takes a list of InvokeAI-generated images and +outputs their metadata in the same JSON format that you get from the +`` button in the Web GUI. For example: + +```bash +$ invokeai-metadata ffe2a115-b492-493c-afff-7679aa034b50.png +ffe2a115-b492-493c-afff-7679aa034b50.png: +{ + "app_version": "3.1.0", + "cfg_scale": 8.0, + "clip_skip": 0, + "controlnets": [], + "generation_mode": "sdxl_txt2img", + "height": 1024, + "loras": [], + "model": { + "base_model": "sdxl", + "model_name": "stable-diffusion-xl-base-1.0", + "model_type": "main" + }, + "negative_prompt": "", + "negative_style_prompt": "", + "positive_prompt": "military grade sushi dinner for shock troopers", + "positive_style_prompt": "", + "rand_device": "cpu", + "refiner_cfg_scale": 7.5, + "refiner_model": { + "base_model": "sdxl-refiner", + "model_name": "sd_xl_refiner_1.0", + "model_type": "main" + }, + "refiner_negative_aesthetic_score": 2.5, + "refiner_positive_aesthetic_score": 6.0, + "refiner_scheduler": "euler", + "refiner_start": 0.8, + "refiner_steps": 20, + "scheduler": "euler", + "seed": 387129902, + "steps": 25, + "width": 1024 +} +``` + +You may list multiple files on the command line. + +## **invokeai-import-images** + +InvokeAI uses a database to store information about images it +generated, and just copying the image files from one InvokeAI root +directory to another does not automatically import those images into +the destination's gallery. This script allows you to bulk import +images generated by one instance of InvokeAI into a gallery maintained +by another. It also works on images generated by older versions of +InvokeAI, going way back to version 1. + +This script has an interactive mode only. The following example shows +it in action: + +```bash +$ invokeai-import-images +=============================================================================== +This script will import images generated by earlier versions of +InvokeAI into the currently installed root directory: + /home/XXXX/invokeai-main +If this is not what you want to do, type ctrl-C now to cancel. +=============================================================================== += Configuration & Settings +Found invokeai.yaml file at /home/XXXX/invokeai-main/invokeai.yaml: + Database : /home/XXXX/invokeai-main/databases/invokeai.db + Outputs : /home/XXXX/invokeai-main/outputs/images + +Use these paths for import (yes) or choose different ones (no) [Yn]: +Inputs: Specify absolute path containing InvokeAI .png images to import: /home/XXXX/invokeai-2.3/outputs/images/ +Include files from subfolders recursively [yN]? + +Options for board selection for imported images: +1) Select an existing board name. (found 4) +2) Specify a board name to create/add to. +3) Create/add to board named 'IMPORT'. +4) Create/add to board named 'IMPORT' with the current datetime string appended (.e.g IMPORT_20230919T203519Z). +5) Create/add to board named 'IMPORT' with a the original file app_version appended (.e.g IMPORT_2.2.5). +Specify desired board option: 3 + +=============================================================================== += Import Settings Confirmation + +Database File Path : /home/XXXX/invokeai-main/databases/invokeai.db +Outputs/Images Directory : /home/XXXX/invokeai-main/outputs/images +Import Image Source Directory : /home/XXXX/invokeai-2.3/outputs/images/ + Recurse Source SubDirectories : No +Count of .png file(s) found : 5785 +Board name option specified : IMPORT +Database backup will be taken at : /home/XXXX/invokeai-main/databases/backup + +Notes about the import process: +- Source image files will not be modified, only copied to the outputs directory. +- If the same file name already exists in the destination, the file will be skipped. +- If the same file name already has a record in the database, the file will be skipped. +- Invoke AI metadata tags will be updated/written into the imported copy only. +- On the imported copy, only Invoke AI known tags (latest and legacy) will be retained (dream, sd-metadata, invokeai, invokeai_metadata) +- A property 'imported_app_version' will be added to metadata that can be viewed in the UI's metadata viewer. +- The new 3.x InvokeAI outputs folder structure is flat so recursively found source imges will all be placed into the single outputs/images folder. + +Do you wish to continue with the import [Yn] ? + +Making DB Backup at /home/lstein/invokeai-main/databases/backup/backup-20230919T203519Z-invokeai.db...Done! + +=============================================================================== +Importing /home/XXXX/invokeai-2.3/outputs/images/17d09907-297d-4db3-a18a-60b337feac66.png +... (5785 more lines) ... +=============================================================================== += Import Complete - Elpased Time: 0.28 second(s) + +Source File(s) : 5785 +Total Imported : 5783 +Skipped b/c file already exists on disk : 1 +Skipped b/c file already exists in db : 0 +Errors during import : 1 +``` +## **invokeai-db-maintenance** + +This script helps maintain the integrity of your InvokeAI database by +finding and fixing three problems that can arise over time: + +1. An image was manually deleted from the outputs directory, leaving a + dangling image record in the InvokeAI database. This will cause a + black image to appear in the gallery. This is an "orphaned database + image record." The script can fix this by running a "clean" + operation on the database, removing the orphaned entries. + +2. An image is present in the outputs directory but there is no + corresponding entry in the database. This can happen when the image + is added manually to the outputs directory, or if a crash occurred + after the image was generated but before the database was + completely updated. The symptom is that the image is present in the + outputs folder but doesn't appear in the InvokeAI gallery. This is + called an "orphaned image file." The script can fix this problem by + running an "archive" operation in which orphaned files are moved + into a directory named `outputs/images-archive`. If you wish, you + can then run `invokeai-image-import` to reimport these images back + into the database. + +3. The thumbnail for an image is missing, again causing a black + gallery thumbnail. This is fixed by running the "thumbnaiils" + operation, which simply regenerates and re-registers the missing + thumbnail. + +You can find and fix all three of these problems in a single go by +executing this command: + +```bash +invokeai-db-maintenance --operation all +``` + +Or you can run just the clean and thumbnail operations like this: + +```bash +invokeai-db-maintenance -operation clean, thumbnail +``` + +If called without any arguments, the script will ask you which +operations you wish to perform. + +## **invokeai-migrate3** + +This script will migrate settings and models (but not images!) from an +InvokeAI v2.3 root folder to an InvokeAI 3.X folder. Call it with the +source and destination root folders like this: + +```bash +invokeai-migrate3 --from ~/invokeai-2.3 --to invokeai-3.1.1 +``` + +Both directories must previously have been properly created and +initialized by `invokeai-configure`. If you wish to migrate the images +contained in the older root as well, you can use the +`invokeai-image-migrate` script described earlier. + +--- + +Copyright (c) 2023, Lincoln Stein and the InvokeAI Development Team diff --git a/docs/features/index.md b/docs/features/index.md index 490da5e31f..bd37366314 100644 --- a/docs/features/index.md +++ b/docs/features/index.md @@ -51,6 +51,9 @@ Prevent InvokeAI from displaying unwanted racy images. ### * [Controlling Logging](LOGGING.md) Control how InvokeAI logs status messages. +### * [Command-line Utilities](UTILITIES.md) +A list of the command-line utilities available with InvokeAI. + (bs, length, n_heads, dim_per_head) + x = x.view(bs, length, heads, -1) + # (bs, length, n_heads, dim_per_head) --> (bs, n_heads, length, dim_per_head) + x = x.transpose(1, 2) + # (bs, n_heads, length, dim_per_head) --> (bs*n_heads, length, dim_per_head) + x = x.reshape(bs, heads, length, -1) + return x + + +class PerceiverAttention(nn.Module): + def __init__(self, *, dim, dim_head=64, heads=8): + super().__init__() + self.scale = dim_head**-0.5 + self.dim_head = dim_head + self.heads = heads + inner_dim = dim_head * heads + + self.norm1 = nn.LayerNorm(dim) + self.norm2 = nn.LayerNorm(dim) + + self.to_q = nn.Linear(dim, inner_dim, bias=False) + self.to_kv = nn.Linear(dim, inner_dim * 2, bias=False) + self.to_out = nn.Linear(inner_dim, dim, bias=False) + + def forward(self, x, latents): + """ + Args: + x (torch.Tensor): image features + shape (b, n1, D) + latent (torch.Tensor): latent features + shape (b, n2, D) + """ + x = self.norm1(x) + latents = self.norm2(latents) + + b, l, _ = latents.shape + + q = self.to_q(latents) + kv_input = torch.cat((x, latents), dim=-2) + k, v = self.to_kv(kv_input).chunk(2, dim=-1) + + q = reshape_tensor(q, self.heads) + k = reshape_tensor(k, self.heads) + v = reshape_tensor(v, self.heads) + + # attention + scale = 1 / math.sqrt(math.sqrt(self.dim_head)) + weight = (q * scale) @ (k * scale).transpose(-2, -1) # More stable with f16 than dividing afterwards + weight = torch.softmax(weight.float(), dim=-1).type(weight.dtype) + out = weight @ v + + out = out.permute(0, 2, 1, 3).reshape(b, l, -1) + + return self.to_out(out) + + +class Resampler(nn.Module): + def __init__( + self, + dim=1024, + depth=8, + dim_head=64, + heads=16, + num_queries=8, + embedding_dim=768, + output_dim=1024, + ff_mult=4, + ): + super().__init__() + + self.latents = nn.Parameter(torch.randn(1, num_queries, dim) / dim**0.5) + + self.proj_in = nn.Linear(embedding_dim, dim) + + self.proj_out = nn.Linear(dim, output_dim) + self.norm_out = nn.LayerNorm(output_dim) + + self.layers = nn.ModuleList([]) + for _ in range(depth): + self.layers.append( + nn.ModuleList( + [ + PerceiverAttention(dim=dim, dim_head=dim_head, heads=heads), + FeedForward(dim=dim, mult=ff_mult), + ] + ) + ) + + @classmethod + def from_state_dict(cls, state_dict: dict[torch.Tensor], depth=8, dim_head=64, heads=16, num_queries=8, ff_mult=4): + """A convenience function that initializes a Resampler from a state_dict. + + Some of the shape parameters are inferred from the state_dict (e.g. dim, embedding_dim, etc.). At the time of + writing, we did not have a need for inferring ALL of the shape parameters from the state_dict, but this would be + possible if needed in the future. + + Args: + state_dict (dict[torch.Tensor]): The state_dict to load. + depth (int, optional): + dim_head (int, optional): + heads (int, optional): + ff_mult (int, optional): + + Returns: + Resampler + """ + dim = state_dict["latents"].shape[2] + num_queries = state_dict["latents"].shape[1] + embedding_dim = state_dict["proj_in.weight"].shape[-1] + output_dim = state_dict["norm_out.weight"].shape[0] + + model = cls( + dim=dim, + depth=depth, + dim_head=dim_head, + heads=heads, + num_queries=num_queries, + embedding_dim=embedding_dim, + output_dim=output_dim, + ff_mult=ff_mult, + ) + model.load_state_dict(state_dict) + return model + + def forward(self, x): + latents = self.latents.repeat(x.size(0), 1, 1) + + x = self.proj_in(x) + + for attn, ff in self.layers: + latents = attn(x, latents) + latents + latents = ff(latents) + latents + + latents = self.proj_out(latents) + return self.norm_out(latents) diff --git a/invokeai/backend/model_management/__init__.py b/invokeai/backend/model_management/__init__.py index 6376585fe5..569428a9e7 100644 --- a/invokeai/backend/model_management/__init__.py +++ b/invokeai/backend/model_management/__init__.py @@ -1,15 +1,19 @@ """ Initialization file for invokeai.backend.model_management """ -from .model_manager import ModelManager, ModelInfo, AddModelResult, SchedulerPredictionType # noqa: F401 -from .model_cache import ModelCache # noqa: F401 +# This import must be first +from .model_manager import ModelManager, ModelInfo, AddModelResult, SchedulerPredictionType # noqa: F401 isort: split + from .lora import ModelPatcher, ONNXModelPatcher # noqa: F401 +from .model_cache import ModelCache # noqa: F401 from .models import ( # noqa: F401 BaseModelType, - ModelType, - SubModelType, - ModelVariantType, - ModelNotFoundException, DuplicateModelException, + ModelNotFoundException, + ModelType, + ModelVariantType, + SubModelType, ) -from .model_merge import ModelMerger, MergeInterpolationMethod # noqa: F401 + +# This import must be last +from .model_merge import ModelMerger, MergeInterpolationMethod # noqa: F401 isort: split diff --git a/invokeai/backend/model_management/convert_ckpt_to_diffusers.py b/invokeai/backend/model_management/convert_ckpt_to_diffusers.py index 110ab770d4..15712c2ee8 100644 --- a/invokeai/backend/model_management/convert_ckpt_to_diffusers.py +++ b/invokeai/backend/model_management/convert_ckpt_to_diffusers.py @@ -25,12 +25,7 @@ from typing import Optional, Union import requests import torch -from diffusers.models import ( - AutoencoderKL, - ControlNetModel, - PriorTransformer, - UNet2DConditionModel, -) +from diffusers.models import AutoencoderKL, ControlNetModel, PriorTransformer, UNet2DConditionModel from diffusers.pipelines.latent_diffusion.pipeline_latent_diffusion import LDMBertConfig, LDMBertModel from diffusers.pipelines.paint_by_example import PaintByExampleImageEncoder from diffusers.pipelines.pipeline_utils import DiffusionPipeline @@ -64,6 +59,7 @@ from transformers import ( from invokeai.app.services.config import InvokeAIAppConfig from invokeai.backend.util.logging import InvokeAILogger + from .models import BaseModelType, ModelVariantType try: @@ -1203,8 +1199,8 @@ def download_from_original_stable_diffusion_ckpt( StableDiffusionControlNetPipeline, StableDiffusionInpaintPipeline, StableDiffusionPipeline, - StableDiffusionXLPipeline, StableDiffusionXLImg2ImgPipeline, + StableDiffusionXLPipeline, StableUnCLIPImg2ImgPipeline, StableUnCLIPPipeline, ) diff --git a/invokeai/backend/model_management/lora.py b/invokeai/backend/model_management/lora.py index d0d8d4226c..bb44455c88 100644 --- a/invokeai/backend/model_management/lora.py +++ b/invokeai/backend/model_management/lora.py @@ -2,8 +2,8 @@ from __future__ import annotations import copy from contextlib import contextmanager -from typing import Optional, Dict, Tuple, Any, Union, List from pathlib import Path +from typing import Any, Dict, List, Optional, Tuple, Union import numpy as np import torch @@ -14,7 +14,6 @@ from transformers import CLIPTextModel, CLIPTokenizer from .models.lora import LoRAModel - """ loras = [ (lora_model1, 0.7), @@ -307,9 +306,10 @@ class TextualInversionManager(BaseTextualInversionManager): class ONNXModelPatcher: - from .models.base import IAIOnnxRuntimeModel from diffusers import OnnxRuntimeModel + from .models.base import IAIOnnxRuntimeModel + @classmethod @contextmanager def apply_lora_unet( diff --git a/invokeai/backend/model_management/model_cache.py b/invokeai/backend/model_management/model_cache.py index 6f3e5bd6a5..8c015441b7 100644 --- a/invokeai/backend/model_management/model_cache.py +++ b/invokeai/backend/model_management/model_cache.py @@ -17,18 +17,23 @@ context. Use like this: """ import gc +import hashlib import os import sys -import hashlib from contextlib import suppress from dataclasses import dataclass, field from pathlib import Path -from typing import Dict, Union, types, Optional, Type, Any +from typing import Any, Dict, Optional, Type, Union, types import torch import invokeai.backend.util.logging as logger -from .models import BaseModelType, ModelType, SubModelType, ModelBase + +from ..util.devices import choose_torch_device +from .models import BaseModelType, ModelBase, ModelType, SubModelType + +if choose_torch_device() == torch.device("mps"): + from torch import mps # Maximum size of the cache, in gigs # Default is roughly enough to hold three fp16 diffusers models in RAM simultaneously @@ -405,6 +410,8 @@ class ModelCache(object): gc.collect() torch.cuda.empty_cache() + if choose_torch_device() == torch.device("mps"): + mps.empty_cache() self.logger.debug(f"After unloading: cached_models={len(self._cached_models)}") @@ -425,6 +432,8 @@ class ModelCache(object): gc.collect() torch.cuda.empty_cache() + if choose_torch_device() == torch.device("mps"): + mps.empty_cache() def _local_model_hash(self, model_path: Union[str, Path]) -> str: sha = hashlib.sha256() diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py index d87bc03fb7..7bb188cb4e 100644 --- a/invokeai/backend/model_management/model_manager.py +++ b/invokeai/backend/model_management/model_manager.py @@ -25,6 +25,7 @@ Models are described using four attributes: ModelType.Lora -- a LoRA or LyCORIS fine-tune ModelType.TextualInversion -- a textual inversion embedding ModelType.ControlNet -- a ControlNet model + ModelType.IPAdapter -- an IPAdapter model 3) BaseModelType -- an enum indicating the stable diffusion base model, one of: BaseModelType.StableDiffusion1 @@ -234,8 +235,8 @@ import textwrap import types from dataclasses import dataclass from pathlib import Path -from shutil import rmtree, move -from typing import Optional, List, Literal, Tuple, Union, Dict, Set, Callable +from shutil import move, rmtree +from typing import Callable, Dict, List, Literal, Optional, Set, Tuple, Union import torch import yaml @@ -246,20 +247,21 @@ from pydantic import BaseModel, Field import invokeai.backend.util.logging as logger from invokeai.app.services.config import InvokeAIAppConfig from invokeai.backend.util import CUDA_DEVICE, Chdir + from .model_cache import ModelCache, ModelLocker from .model_search import ModelSearch from .models import ( - BaseModelType, - ModelType, - SubModelType, - ModelError, - SchedulerPredictionType, MODEL_CLASSES, - ModelConfigBase, - ModelNotFoundException, - InvalidModelException, + BaseModelType, DuplicateModelException, + InvalidModelException, ModelBase, + ModelConfigBase, + ModelError, + ModelNotFoundException, + ModelType, + SchedulerPredictionType, + SubModelType, ) # We are only starting to number the config file with release 3. @@ -999,8 +1001,8 @@ class ModelManager(object): new_models_found = True except DuplicateModelException as e: self.logger.warning(e) - except InvalidModelException: - self.logger.warning(f"Not a valid model: {model_path}") + except InvalidModelException as e: + self.logger.warning(f"Not a valid model: {model_path}. {e}") except NotImplementedError as e: self.logger.warning(e) diff --git a/invokeai/backend/model_management/model_merge.py b/invokeai/backend/model_management/model_merge.py index a34d9b0e3e..59201d64d9 100644 --- a/invokeai/backend/model_management/model_merge.py +++ b/invokeai/backend/model_management/model_merge.py @@ -9,13 +9,14 @@ Copyright (c) 2023 Lincoln Stein and the InvokeAI Development Team import warnings from enum import Enum from pathlib import Path +from typing import List, Optional, Union + from diffusers import DiffusionPipeline from diffusers import logging as dlogging -from typing import List, Union, Optional import invokeai.backend.util.logging as logger -from ...backend.model_management import ModelManager, ModelType, BaseModelType, ModelVariantType, AddModelResult +from ...backend.model_management import AddModelResult, BaseModelType, ModelManager, ModelType, ModelVariantType class MergeInterpolationMethod(str, Enum): diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py index 0d6f61e145..1fc4a51354 100644 --- a/invokeai/backend/model_management/model_probe.py +++ b/invokeai/backend/model_management/model_probe.py @@ -1,24 +1,26 @@ import json -import torch -import safetensors.torch - +import re from dataclasses import dataclass - -from diffusers import ModelMixin, ConfigMixin from pathlib import Path -from typing import Callable, Literal, Union, Dict, Optional +from typing import Callable, Dict, Literal, Optional, Union + +import safetensors.torch +import torch +from diffusers import ConfigMixin, ModelMixin from picklescan.scanner import scan_file_path +from invokeai.backend.model_management.models.ip_adapter import IPAdapterModelFormat + from .models import ( BaseModelType, + InvalidModelException, ModelType, ModelVariantType, SchedulerPredictionType, SilenceWarnings, - InvalidModelException, ) -from .util import lora_token_vector_length from .models.base import read_checkpoint_meta +from .util import lora_token_vector_length @dataclass @@ -52,7 +54,9 @@ class ModelProbe(object): "StableDiffusionXLImg2ImgPipeline": ModelType.Main, "StableDiffusionXLInpaintPipeline": ModelType.Main, "AutoencoderKL": ModelType.Vae, + "AutoencoderTiny": ModelType.Vae, "ControlNetModel": ModelType.ControlNet, + "CLIPVisionModelWithProjection": ModelType.CLIPVision, } @classmethod @@ -119,14 +123,18 @@ class ModelProbe(object): and prediction_type == SchedulerPredictionType.VPrediction ), format=format, - image_size=1024 - if (base_type in {BaseModelType.StableDiffusionXL, BaseModelType.StableDiffusionXLRefiner}) - else 768 - if ( - base_type == BaseModelType.StableDiffusion2 - and prediction_type == SchedulerPredictionType.VPrediction - ) - else 512, + image_size=( + 1024 + if (base_type in {BaseModelType.StableDiffusionXL, BaseModelType.StableDiffusionXLRefiner}) + else ( + 768 + if ( + base_type == BaseModelType.StableDiffusion2 + and prediction_type == SchedulerPredictionType.VPrediction + ) + else 512 + ) + ), ) except Exception: raise @@ -171,6 +179,7 @@ class ModelProbe(object): Get the model type of a hugging-face style folder. """ class_name = None + error_hint = None if model: class_name = model.__class__.__name__ else: @@ -178,9 +187,10 @@ class ModelProbe(object): return ModelType.ONNX if (folder_path / "learned_embeds.bin").exists(): return ModelType.TextualInversion - if (folder_path / "pytorch_lora_weights.bin").exists(): return ModelType.Lora + if (folder_path / "image_encoder.txt").exists(): + return ModelType.IPAdapter i = folder_path / "model_index.json" c = folder_path / "config.json" @@ -189,13 +199,24 @@ class ModelProbe(object): if config_path: with open(config_path, "r") as file: conf = json.load(file) - class_name = conf["_class_name"] + if "_class_name" in conf: + class_name = conf["_class_name"] + elif "architectures" in conf: + class_name = conf["architectures"][0] + else: + class_name = None + else: + error_hint = f"No model_index.json or config.json found in {folder_path}." if class_name and (type := cls.CLASS2TYPE.get(class_name)): return type + else: + error_hint = f"class {class_name} is not one of the supported classes [{', '.join(cls.CLASS2TYPE.keys())}]" # give up - raise InvalidModelException(f"Unable to determine model type for {folder_path}") + raise InvalidModelException( + f"Unable to determine model type for {folder_path}" + (f"; {error_hint}" if error_hint else "") + ) @classmethod def _scan_and_load_checkpoint(cls, model_path: Path) -> dict: @@ -367,6 +388,16 @@ class ControlNetCheckpointProbe(CheckpointProbeBase): raise InvalidModelException("Unable to determine base type for {self.checkpoint_path}") +class IPAdapterCheckpointProbe(CheckpointProbeBase): + def get_base_type(self) -> BaseModelType: + raise NotImplementedError() + + +class CLIPVisionCheckpointProbe(CheckpointProbeBase): + def get_base_type(self) -> BaseModelType: + raise NotImplementedError() + + ######################################################## # classes for probing folders ####################################################### @@ -439,16 +470,32 @@ class PipelineFolderProbe(FolderProbeBase): class VaeFolderProbe(FolderProbeBase): def get_base_type(self) -> BaseModelType: + if self._config_looks_like_sdxl(): + return BaseModelType.StableDiffusionXL + elif self._name_looks_like_sdxl(): + # but SD and SDXL VAE are the same shape (3-channel RGB to 4-channel float scaled down + # by a factor of 8), we can't necessarily tell them apart by config hyperparameters. + return BaseModelType.StableDiffusionXL + else: + return BaseModelType.StableDiffusion1 + + def _config_looks_like_sdxl(self) -> bool: + # config values that distinguish Stability's SD 1.x VAE from their SDXL VAE. config_file = self.folder_path / "config.json" if not config_file.exists(): raise InvalidModelException(f"Cannot determine base type for {self.folder_path}") with open(config_file, "r") as file: config = json.load(file) - return ( - BaseModelType.StableDiffusionXL - if config.get("scaling_factor", 0) == 0.13025 and config.get("sample_size") in [512, 1024] - else BaseModelType.StableDiffusion1 - ) + return config.get("scaling_factor", 0) == 0.13025 and config.get("sample_size") in [512, 1024] + + def _name_looks_like_sdxl(self) -> bool: + return bool(re.search(r"xl\b", self._guess_name(), re.IGNORECASE)) + + def _guess_name(self) -> str: + name = self.folder_path.name + if name == "vae": + name = self.folder_path.parent.name + return name class TextualInversionFolderProbe(FolderProbeBase): @@ -486,11 +533,13 @@ class ControlNetFolderProbe(FolderProbeBase): base_model = ( BaseModelType.StableDiffusion1 if dimension == 768 - else BaseModelType.StableDiffusion2 - if dimension == 1024 - else BaseModelType.StableDiffusionXL - if dimension == 2048 - else None + else ( + BaseModelType.StableDiffusion2 + if dimension == 1024 + else BaseModelType.StableDiffusionXL + if dimension == 2048 + else None + ) ) if not base_model: raise InvalidModelException(f"Unable to determine model base for {self.folder_path}") @@ -510,15 +559,47 @@ class LoRAFolderProbe(FolderProbeBase): return LoRACheckpointProbe(model_file, None).get_base_type() +class IPAdapterFolderProbe(FolderProbeBase): + def get_format(self) -> str: + return IPAdapterModelFormat.InvokeAI.value + + def get_base_type(self) -> BaseModelType: + model_file = self.folder_path / "ip_adapter.bin" + if not model_file.exists(): + raise InvalidModelException("Unknown IP-Adapter model format.") + + state_dict = torch.load(model_file, map_location="cpu") + cross_attention_dim = state_dict["ip_adapter"]["1.to_k_ip.weight"].shape[-1] + if cross_attention_dim == 768: + return BaseModelType.StableDiffusion1 + elif cross_attention_dim == 1024: + return BaseModelType.StableDiffusion2 + elif cross_attention_dim == 2048: + return BaseModelType.StableDiffusionXL + else: + raise InvalidModelException(f"IP-Adapter had unexpected cross-attention dimension: {cross_attention_dim}.") + + +class CLIPVisionFolderProbe(FolderProbeBase): + def get_base_type(self) -> BaseModelType: + return BaseModelType.Any + + ############## register probe classes ###### ModelProbe.register_probe("diffusers", ModelType.Main, PipelineFolderProbe) ModelProbe.register_probe("diffusers", ModelType.Vae, VaeFolderProbe) ModelProbe.register_probe("diffusers", ModelType.Lora, LoRAFolderProbe) ModelProbe.register_probe("diffusers", ModelType.TextualInversion, TextualInversionFolderProbe) ModelProbe.register_probe("diffusers", ModelType.ControlNet, ControlNetFolderProbe) +ModelProbe.register_probe("diffusers", ModelType.IPAdapter, IPAdapterFolderProbe) +ModelProbe.register_probe("diffusers", ModelType.CLIPVision, CLIPVisionFolderProbe) + ModelProbe.register_probe("checkpoint", ModelType.Main, PipelineCheckpointProbe) ModelProbe.register_probe("checkpoint", ModelType.Vae, VaeCheckpointProbe) ModelProbe.register_probe("checkpoint", ModelType.Lora, LoRACheckpointProbe) ModelProbe.register_probe("checkpoint", ModelType.TextualInversion, TextualInversionCheckpointProbe) ModelProbe.register_probe("checkpoint", ModelType.ControlNet, ControlNetCheckpointProbe) +ModelProbe.register_probe("checkpoint", ModelType.IPAdapter, IPAdapterCheckpointProbe) +ModelProbe.register_probe("checkpoint", ModelType.CLIPVision, CLIPVisionCheckpointProbe) + ModelProbe.register_probe("onnx", ModelType.ONNX, ONNXFolderProbe) diff --git a/invokeai/backend/model_management/model_search.py b/invokeai/backend/model_management/model_search.py index 0a98091f4a..3cded73d80 100644 --- a/invokeai/backend/model_management/model_search.py +++ b/invokeai/backend/model_management/model_search.py @@ -5,8 +5,8 @@ Abstract base class for recursive directory search for models. import os from abc import ABC, abstractmethod -from typing import List, Set, types from pathlib import Path +from typing import List, Set, types import invokeai.backend.util.logging as logger @@ -79,7 +79,7 @@ class ModelSearch(ABC): self._models_found += 1 self._scanned_dirs.add(path) except Exception as e: - self.logger.warning(str(e)) + self.logger.warning(f"Failed to process '{path}': {e}") for f in files: path = Path(root) / f @@ -90,7 +90,7 @@ class ModelSearch(ABC): self.on_model_found(path) self._models_found += 1 except Exception as e: - self.logger.warning(str(e)) + self.logger.warning(f"Failed to process '{path}': {e}") class FindModels(ModelSearch): diff --git a/invokeai/backend/model_management/models/__init__.py b/invokeai/backend/model_management/models/__init__.py index 2de206257b..d361301554 100644 --- a/invokeai/backend/model_management/models/__init__.py +++ b/invokeai/backend/model_management/models/__init__.py @@ -1,29 +1,32 @@ import inspect from enum import Enum -from pydantic import BaseModel from typing import Literal, get_origin + +from pydantic import BaseModel + from .base import ( # noqa: F401 BaseModelType, - ModelType, - SubModelType, + DuplicateModelException, + InvalidModelException, ModelBase, ModelConfigBase, + ModelError, + ModelNotFoundException, + ModelType, ModelVariantType, SchedulerPredictionType, - ModelError, SilenceWarnings, - ModelNotFoundException, - InvalidModelException, - DuplicateModelException, + SubModelType, ) -from .stable_diffusion import StableDiffusion1Model, StableDiffusion2Model -from .sdxl import StableDiffusionXLModel -from .vae import VaeModel -from .lora import LoRAModel +from .clip_vision import CLIPVisionModel from .controlnet import ControlNetModel # TODO: -from .textual_inversion import TextualInversionModel - +from .ip_adapter import IPAdapterModel +from .lora import LoRAModel +from .sdxl import StableDiffusionXLModel +from .stable_diffusion import StableDiffusion1Model, StableDiffusion2Model from .stable_diffusion_onnx import ONNXStableDiffusion1Model, ONNXStableDiffusion2Model +from .textual_inversion import TextualInversionModel +from .vae import VaeModel MODEL_CLASSES = { BaseModelType.StableDiffusion1: { @@ -33,6 +36,8 @@ MODEL_CLASSES = { ModelType.Lora: LoRAModel, ModelType.ControlNet: ControlNetModel, ModelType.TextualInversion: TextualInversionModel, + ModelType.IPAdapter: IPAdapterModel, + ModelType.CLIPVision: CLIPVisionModel, }, BaseModelType.StableDiffusion2: { ModelType.ONNX: ONNXStableDiffusion2Model, @@ -41,6 +46,8 @@ MODEL_CLASSES = { ModelType.Lora: LoRAModel, ModelType.ControlNet: ControlNetModel, ModelType.TextualInversion: TextualInversionModel, + ModelType.IPAdapter: IPAdapterModel, + ModelType.CLIPVision: CLIPVisionModel, }, BaseModelType.StableDiffusionXL: { ModelType.Main: StableDiffusionXLModel, @@ -50,6 +57,8 @@ MODEL_CLASSES = { ModelType.ControlNet: ControlNetModel, ModelType.TextualInversion: TextualInversionModel, ModelType.ONNX: ONNXStableDiffusion2Model, + ModelType.IPAdapter: IPAdapterModel, + ModelType.CLIPVision: CLIPVisionModel, }, BaseModelType.StableDiffusionXLRefiner: { ModelType.Main: StableDiffusionXLModel, @@ -59,6 +68,19 @@ MODEL_CLASSES = { ModelType.ControlNet: ControlNetModel, ModelType.TextualInversion: TextualInversionModel, ModelType.ONNX: ONNXStableDiffusion2Model, + ModelType.IPAdapter: IPAdapterModel, + ModelType.CLIPVision: CLIPVisionModel, + }, + BaseModelType.Any: { + ModelType.CLIPVision: CLIPVisionModel, + # The following model types are not expected to be used with BaseModelType.Any. + ModelType.ONNX: ONNXStableDiffusion2Model, + ModelType.Main: StableDiffusion2Model, + ModelType.Vae: VaeModel, + ModelType.Lora: LoRAModel, + ModelType.ControlNet: ControlNetModel, + ModelType.TextualInversion: TextualInversionModel, + ModelType.IPAdapter: IPAdapterModel, }, # BaseModelType.Kandinsky2_1: { # ModelType.Main: Kandinsky2_1Model, diff --git a/invokeai/backend/model_management/models/base.py b/invokeai/backend/model_management/models/base.py index ed1c2c6098..45b018af90 100644 --- a/invokeai/backend/model_management/models/base.py +++ b/invokeai/backend/model_management/models/base.py @@ -1,29 +1,25 @@ +import inspect import json import os import sys import typing -import inspect import warnings from abc import ABCMeta, abstractmethod from contextlib import suppress from enum import Enum from pathlib import Path -from picklescan.scanner import scan_file_path +from typing import Any, Callable, Dict, Generic, List, Literal, Optional, Type, TypeVar, Union -import torch import numpy as np import onnx import safetensors.torch -from diffusers import DiffusionPipeline, ConfigMixin -from onnx import numpy_helper -from onnxruntime import ( - InferenceSession, - SessionOptions, - get_available_providers, -) -from pydantic import BaseModel, Field -from typing import List, Dict, Optional, Type, Literal, TypeVar, Generic, Callable, Any, Union +import torch +from diffusers import ConfigMixin, DiffusionPipeline from diffusers import logging as diffusers_logging +from onnx import numpy_helper +from onnxruntime import InferenceSession, SessionOptions, get_available_providers +from picklescan.scanner import scan_file_path +from pydantic import BaseModel, Field from transformers import logging as transformers_logging @@ -40,6 +36,7 @@ class ModelNotFoundException(Exception): class BaseModelType(str, Enum): + Any = "any" # For models that are not associated with any particular base model. StableDiffusion1 = "sd-1" StableDiffusion2 = "sd-2" StableDiffusionXL = "sdxl" @@ -54,6 +51,8 @@ class ModelType(str, Enum): Lora = "lora" ControlNet = "controlnet" # used by model_probe TextualInversion = "embedding" + IPAdapter = "ip_adapter" + CLIPVision = "clip_vision" class SubModelType(str, Enum): diff --git a/invokeai/backend/model_management/models/clip_vision.py b/invokeai/backend/model_management/models/clip_vision.py new file mode 100644 index 0000000000..2276c6beed --- /dev/null +++ b/invokeai/backend/model_management/models/clip_vision.py @@ -0,0 +1,82 @@ +import os +from enum import Enum +from typing import Literal, Optional + +import torch +from transformers import CLIPVisionModelWithProjection + +from invokeai.backend.model_management.models.base import ( + BaseModelType, + InvalidModelException, + ModelBase, + ModelConfigBase, + ModelType, + SubModelType, + calc_model_size_by_data, + calc_model_size_by_fs, + classproperty, +) + + +class CLIPVisionModelFormat(str, Enum): + Diffusers = "diffusers" + + +class CLIPVisionModel(ModelBase): + class DiffusersConfig(ModelConfigBase): + model_format: Literal[CLIPVisionModelFormat.Diffusers] + + def __init__(self, model_path: str, base_model: BaseModelType, model_type: ModelType): + assert model_type == ModelType.CLIPVision + super().__init__(model_path, base_model, model_type) + + self.model_size = calc_model_size_by_fs(self.model_path) + + @classmethod + def detect_format(cls, path: str) -> str: + if not os.path.exists(path): + raise ModuleNotFoundError(f"No CLIP Vision model at path '{path}'.") + + if os.path.isdir(path) and os.path.exists(os.path.join(path, "config.json")): + return CLIPVisionModelFormat.Diffusers + + raise InvalidModelException(f"Unexpected CLIP Vision model format: {path}") + + @classproperty + def save_to_config(cls) -> bool: + return True + + def get_size(self, child_type: Optional[SubModelType] = None) -> int: + if child_type is not None: + raise ValueError("There are no child models in a CLIP Vision model.") + + return self.model_size + + def get_model( + self, + torch_dtype: Optional[torch.dtype], + child_type: Optional[SubModelType] = None, + ) -> CLIPVisionModelWithProjection: + if child_type is not None: + raise ValueError("There are no child models in a CLIP Vision model.") + + model = CLIPVisionModelWithProjection.from_pretrained(self.model_path, torch_dtype=torch_dtype) + + # Calculate a more accurate model size. + self.model_size = calc_model_size_by_data(model) + + return model + + @classmethod + def convert_if_required( + cls, + model_path: str, + output_path: str, + config: ModelConfigBase, + base_model: BaseModelType, + ) -> str: + format = cls.detect_format(model_path) + if format == CLIPVisionModelFormat.Diffusers: + return model_path + else: + raise ValueError(f"Unsupported format: '{format}'.") diff --git a/invokeai/backend/model_management/models/controlnet.py b/invokeai/backend/model_management/models/controlnet.py index ebc01399b5..359df91a82 100644 --- a/invokeai/backend/model_management/models/controlnet.py +++ b/invokeai/backend/model_management/models/controlnet.py @@ -1,23 +1,26 @@ import os -import torch from enum import Enum from pathlib import Path -from typing import Optional, Literal +from typing import Literal, Optional + +import torch + +import invokeai.backend.util.logging as logger +from invokeai.app.services.config import InvokeAIAppConfig + from .base import ( + BaseModelType, + EmptyConfigLoader, + InvalidModelException, ModelBase, ModelConfigBase, - BaseModelType, + ModelNotFoundException, ModelType, SubModelType, - EmptyConfigLoader, - calc_model_size_by_fs, calc_model_size_by_data, + calc_model_size_by_fs, classproperty, - InvalidModelException, - ModelNotFoundException, ) -from invokeai.app.services.config import InvokeAIAppConfig -import invokeai.backend.util.logging as logger class ControlNetModelFormat(str, Enum): diff --git a/invokeai/backend/model_management/models/ip_adapter.py b/invokeai/backend/model_management/models/ip_adapter.py new file mode 100644 index 0000000000..8e1e97c9e0 --- /dev/null +++ b/invokeai/backend/model_management/models/ip_adapter.py @@ -0,0 +1,92 @@ +import os +import typing +from enum import Enum +from typing import Literal, Optional + +import torch + +from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus, build_ip_adapter +from invokeai.backend.model_management.models.base import ( + BaseModelType, + InvalidModelException, + ModelBase, + ModelConfigBase, + ModelType, + SubModelType, + classproperty, +) + + +class IPAdapterModelFormat(str, Enum): + # The custom IP-Adapter model format defined by InvokeAI. + InvokeAI = "invokeai" + + +class IPAdapterModel(ModelBase): + class InvokeAIConfig(ModelConfigBase): + model_format: Literal[IPAdapterModelFormat.InvokeAI] + + def __init__(self, model_path: str, base_model: BaseModelType, model_type: ModelType): + assert model_type == ModelType.IPAdapter + super().__init__(model_path, base_model, model_type) + + self.model_size = os.path.getsize(self.model_path) + + @classmethod + def detect_format(cls, path: str) -> str: + if not os.path.exists(path): + raise ModuleNotFoundError(f"No IP-Adapter model at path '{path}'.") + + if os.path.isdir(path): + model_file = os.path.join(path, "ip_adapter.bin") + image_encoder_config_file = os.path.join(path, "image_encoder.txt") + if os.path.exists(model_file) and os.path.exists(image_encoder_config_file): + return IPAdapterModelFormat.InvokeAI + + raise InvalidModelException(f"Unexpected IP-Adapter model format: {path}") + + @classproperty + def save_to_config(cls) -> bool: + return True + + def get_size(self, child_type: Optional[SubModelType] = None) -> int: + if child_type is not None: + raise ValueError("There are no child models in an IP-Adapter model.") + + return self.model_size + + def get_model( + self, + torch_dtype: Optional[torch.dtype], + child_type: Optional[SubModelType] = None, + ) -> typing.Union[IPAdapter, IPAdapterPlus]: + if child_type is not None: + raise ValueError("There are no child models in an IP-Adapter model.") + + return build_ip_adapter( + ip_adapter_ckpt_path=os.path.join(self.model_path, "ip_adapter.bin"), device="cpu", dtype=torch_dtype + ) + + @classmethod + def convert_if_required( + cls, + model_path: str, + output_path: str, + config: ModelConfigBase, + base_model: BaseModelType, + ) -> str: + format = cls.detect_format(model_path) + if format == IPAdapterModelFormat.InvokeAI: + return model_path + else: + raise ValueError(f"Unsupported format: '{format}'.") + + +def get_ip_adapter_image_encoder_model_id(model_path: str): + """Read the ID of the image encoder associated with the IP-Adapter at `model_path`.""" + image_encoder_config_file = os.path.join(model_path, "image_encoder.txt") + + with open(image_encoder_config_file, "r") as f: + image_encoder_model = f.readline().strip() + + return image_encoder_model diff --git a/invokeai/backend/model_management/models/sdxl.py b/invokeai/backend/model_management/models/sdxl.py index 5bbe05be98..41586e35b9 100644 --- a/invokeai/backend/model_management/models/sdxl.py +++ b/invokeai/backend/model_management/models/sdxl.py @@ -1,19 +1,21 @@ -import os import json +import os from enum import Enum -from pydantic import Field from typing import Literal, Optional + +from omegaconf import OmegaConf +from pydantic import Field + from .base import ( - ModelConfigBase, BaseModelType, + DiffusersModel, + InvalidModelException, + ModelConfigBase, ModelType, ModelVariantType, - DiffusersModel, - read_checkpoint_meta, classproperty, - InvalidModelException, + read_checkpoint_meta, ) -from omegaconf import OmegaConf class StableDiffusionXLModelFormat(str, Enum): diff --git a/invokeai/backend/model_management/models/stable_diffusion.py b/invokeai/backend/model_management/models/stable_diffusion.py index cc34f14b9c..ffce42d9e9 100644 --- a/invokeai/backend/model_management/models/stable_diffusion.py +++ b/invokeai/backend/model_management/models/stable_diffusion.py @@ -1,26 +1,29 @@ -import os import json +import os from enum import Enum -from pydantic import Field from pathlib import Path from typing import Literal, Optional, Union + from diffusers import StableDiffusionInpaintPipeline, StableDiffusionPipeline -from .base import ( - ModelConfigBase, - BaseModelType, - ModelType, - ModelVariantType, - DiffusersModel, - SilenceWarnings, - read_checkpoint_meta, - classproperty, - InvalidModelException, - ModelNotFoundException, -) -from .sdxl import StableDiffusionXLModel +from omegaconf import OmegaConf +from pydantic import Field + import invokeai.backend.util.logging as logger from invokeai.app.services.config import InvokeAIAppConfig -from omegaconf import OmegaConf + +from .base import ( + BaseModelType, + DiffusersModel, + InvalidModelException, + ModelConfigBase, + ModelNotFoundException, + ModelType, + ModelVariantType, + SilenceWarnings, + classproperty, + read_checkpoint_meta, +) +from .sdxl import StableDiffusionXLModel class StableDiffusion1ModelFormat(str, Enum): @@ -272,8 +275,8 @@ def _convert_ckpt_and_cache( return output_path # to avoid circular import errors - from ..convert_ckpt_to_diffusers import convert_ckpt_to_diffusers from ...util.devices import choose_torch_device, torch_dtype + from ..convert_ckpt_to_diffusers import convert_ckpt_to_diffusers model_base_to_model_type = { BaseModelType.StableDiffusion1: "FrozenCLIPEmbedder", diff --git a/invokeai/backend/model_management/models/stable_diffusion_onnx.py b/invokeai/backend/model_management/models/stable_diffusion_onnx.py index 2780ba4728..2d0dd22c43 100644 --- a/invokeai/backend/model_management/models/stable_diffusion_onnx.py +++ b/invokeai/backend/model_management/models/stable_diffusion_onnx.py @@ -2,15 +2,16 @@ from enum import Enum from typing import Literal from diffusers import OnnxRuntimeModel + from .base import ( - ModelConfigBase, BaseModelType, + DiffusersModel, + IAIOnnxRuntimeModel, + ModelConfigBase, ModelType, ModelVariantType, - DiffusersModel, SchedulerPredictionType, classproperty, - IAIOnnxRuntimeModel, ) diff --git a/invokeai/backend/model_management/models/textual_inversion.py b/invokeai/backend/model_management/models/textual_inversion.py index a949a15be1..b59e635045 100644 --- a/invokeai/backend/model_management/models/textual_inversion.py +++ b/invokeai/backend/model_management/models/textual_inversion.py @@ -1,19 +1,20 @@ import os -import torch from typing import Optional -from .base import ( - ModelBase, - ModelConfigBase, - BaseModelType, - ModelType, - SubModelType, - classproperty, - ModelNotFoundException, - InvalidModelException, -) + +import torch # TODO: naming from ..lora import TextualInversionModel as TextualInversionModelRaw +from .base import ( + BaseModelType, + InvalidModelException, + ModelBase, + ModelConfigBase, + ModelNotFoundException, + ModelType, + SubModelType, + classproperty, +) class TextualInversionModel(ModelBase): diff --git a/invokeai/backend/model_management/models/vae.py b/invokeai/backend/model_management/models/vae.py index f5dc11b27b..637160c69b 100644 --- a/invokeai/backend/model_management/models/vae.py +++ b/invokeai/backend/model_management/models/vae.py @@ -8,19 +8,20 @@ import torch from omegaconf import OmegaConf from invokeai.app.services.config import InvokeAIAppConfig + from .base import ( + BaseModelType, + EmptyConfigLoader, + InvalidModelException, ModelBase, ModelConfigBase, - BaseModelType, - ModelType, - SubModelType, - ModelVariantType, - EmptyConfigLoader, - calc_model_size_by_fs, - calc_model_size_by_data, - classproperty, - InvalidModelException, ModelNotFoundException, + ModelType, + ModelVariantType, + SubModelType, + calc_model_size_by_data, + calc_model_size_by_fs, + classproperty, ) diff --git a/invokeai/backend/stable_diffusion/__init__.py b/invokeai/backend/stable_diffusion/__init__.py index a958750802..212045f81b 100644 --- a/invokeai/backend/stable_diffusion/__init__.py +++ b/invokeai/backend/stable_diffusion/__init__.py @@ -1,15 +1,6 @@ """ Initialization file for the invokeai.backend.stable_diffusion package """ -from .diffusers_pipeline import ( # noqa: F401 - ConditioningData, - PipelineIntermediateState, - StableDiffusionGeneratorPipeline, -) +from .diffusers_pipeline import PipelineIntermediateState, StableDiffusionGeneratorPipeline # noqa: F401 from .diffusion import InvokeAIDiffuserComponent # noqa: F401 from .diffusion.cross_attention_map_saving import AttentionMapSaver # noqa: F401 -from .diffusion.shared_invokeai_diffusion import ( # noqa: F401 - PostprocessingSettings, - BasicConditioningInfo, - SDXLConditioningInfo, -) diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py index d88313f455..150481747a 100644 --- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py +++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py @@ -1,24 +1,20 @@ from __future__ import annotations -import dataclasses -import inspect -from dataclasses import dataclass, field +import math +from contextlib import nullcontext +from dataclasses import dataclass from typing import Any, Callable, List, Optional, Union -import PIL.Image import einops +import PIL.Image import psutil import torch import torchvision.transforms as T from diffusers.models import AutoencoderKL, UNet2DConditionModel from diffusers.models.controlnet import ControlNetModel from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput -from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion import ( - StableDiffusionPipeline, -) -from diffusers.pipelines.stable_diffusion.safety_checker import ( - StableDiffusionSafetyChecker, -) +from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion import StableDiffusionPipeline +from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker from diffusers.schedulers import KarrasDiffusionSchedulers from diffusers.schedulers.scheduling_utils import SchedulerMixin, SchedulerOutput from diffusers.utils.import_utils import is_xformers_available @@ -27,13 +23,11 @@ from pydantic import Field from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer from invokeai.app.services.config import InvokeAIAppConfig -from .diffusion import ( - AttentionMapSaver, - InvokeAIDiffuserComponent, - PostprocessingSettings, - BasicConditioningInfo, -) -from ..util import normalize_device, auto_detect_slice_size +from invokeai.backend.ip_adapter.ip_adapter import IPAdapter +from invokeai.backend.stable_diffusion.diffusion.conditioning_data import ConditioningData + +from ..util import auto_detect_slice_size, normalize_device +from .diffusion import AttentionMapSaver, InvokeAIDiffuserComponent @dataclass @@ -103,7 +97,7 @@ class AddsMaskGuidance: # Mask anything that has the same shape as prev_sample, return others as-is. return output_class( { - k: (self.apply_mask(v, self._t_for_field(k, t)) if are_like_tensors(prev_sample, v) else v) + k: self.apply_mask(v, self._t_for_field(k, t)) if are_like_tensors(prev_sample, v) else v for k, v in step_output.items() } ) @@ -170,39 +164,13 @@ class ControlNetData: @dataclass -class ConditioningData: - unconditioned_embeddings: BasicConditioningInfo - text_embeddings: BasicConditioningInfo - guidance_scale: Union[float, List[float]] - """ - Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598). - `guidance_scale` is defined as `w` of equation 2. of [Imagen Paper](https://arxiv.org/pdf/2205.11487.pdf). - Guidance scale is enabled by setting `guidance_scale > 1`. Higher guidance scale encourages to generate - images that are closely linked to the text `prompt`, usually at the expense of lower image quality. - """ - extra: Optional[InvokeAIDiffuserComponent.ExtraConditioningInfo] = None - scheduler_args: dict[str, Any] = field(default_factory=dict) - """ - Additional arguments to pass to invokeai_diffuser.do_latent_postprocessing(). - """ - postprocessing_settings: Optional[PostprocessingSettings] = None - - @property - def dtype(self): - return self.text_embeddings.dtype - - def add_scheduler_args_if_applicable(self, scheduler, **kwargs): - scheduler_args = dict(self.scheduler_args) - step_method = inspect.signature(scheduler.step) - for name, value in kwargs.items(): - try: - step_method.bind_partial(**{name: value}) - except TypeError: - # FIXME: don't silently discard arguments - pass # debug("%s does not accept argument named %r", scheduler, name) - else: - scheduler_args[name] = value - return dataclasses.replace(self, scheduler_args=scheduler_args) +class IPAdapterData: + ip_adapter_model: IPAdapter = Field(default=None) + # TODO: change to polymorphic so can do different weights per step (once implemented...) + weight: Union[float, List[float]] = Field(default=1.0) + # weight: float = Field(default=1.0) + begin_step_percent: float = Field(default=0.0) + end_step_percent: float = Field(default=1.0) @dataclass @@ -285,6 +253,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): ) self.invokeai_diffuser = InvokeAIDiffuserComponent(self.unet, self._unet_forward) self.control_model = control_model + self.use_ip_adapter = False def _adjust_memory_efficient_attention(self, latents: torch.Tensor): """ @@ -357,6 +326,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): additional_guidance: List[Callable] = None, callback: Callable[[PipelineIntermediateState], None] = None, control_data: List[ControlNetData] = None, + ip_adapter_data: Optional[IPAdapterData] = None, mask: Optional[torch.Tensor] = None, masked_latents: Optional[torch.Tensor] = None, seed: Optional[int] = None, @@ -408,6 +378,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): conditioning_data, additional_guidance=additional_guidance, control_data=control_data, + ip_adapter_data=ip_adapter_data, callback=callback, ) finally: @@ -427,6 +398,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): *, additional_guidance: List[Callable] = None, control_data: List[ControlNetData] = None, + ip_adapter_data: Optional[IPAdapterData] = None, callback: Callable[[PipelineIntermediateState], None] = None, ): self._adjust_memory_efficient_attention(latents) @@ -439,12 +411,26 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): if timesteps.shape[0] == 0: return latents, attention_map_saver - extra_conditioning_info = conditioning_data.extra - with self.invokeai_diffuser.custom_attention_context( - self.invokeai_diffuser.model, - extra_conditioning_info=extra_conditioning_info, - step_count=len(self.scheduler.timesteps), - ): + if conditioning_data.extra is not None and conditioning_data.extra.wants_cross_attention_control: + attn_ctx = self.invokeai_diffuser.custom_attention_context( + self.invokeai_diffuser.model, + extra_conditioning_info=conditioning_data.extra, + step_count=len(self.scheduler.timesteps), + ) + self.use_ip_adapter = False + elif ip_adapter_data is not None: + # TODO(ryand): Should we raise an exception if both custom attention and IP-Adapter attention are active? + # As it is now, the IP-Adapter will silently be skipped. + weight = ip_adapter_data.weight[0] if isinstance(ip_adapter_data.weight, List) else ip_adapter_data.weight + attn_ctx = ip_adapter_data.ip_adapter_model.apply_ip_adapter_attention( + unet=self.invokeai_diffuser.model, + scale=weight, + ) + self.use_ip_adapter = True + else: + attn_ctx = nullcontext() + + with attn_ctx: if callback is not None: callback( PipelineIntermediateState( @@ -467,6 +453,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): total_step_count=len(timesteps), additional_guidance=additional_guidance, control_data=control_data, + ip_adapter_data=ip_adapter_data, ) latents = step_output.prev_sample @@ -512,6 +499,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): total_step_count: int, additional_guidance: List[Callable] = None, control_data: List[ControlNetData] = None, + ip_adapter_data: Optional[IPAdapterData] = None, ): # invokeai_diffuser has batched timesteps, but diffusers schedulers expect a single value timestep = t[0] @@ -522,6 +510,24 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): # i.e. before or after passing it to InvokeAIDiffuserComponent latent_model_input = self.scheduler.scale_model_input(latents, timestep) + # handle IP-Adapter + if self.use_ip_adapter and ip_adapter_data is not None: # somewhat redundant but logic is clearer + first_adapter_step = math.floor(ip_adapter_data.begin_step_percent * total_step_count) + last_adapter_step = math.ceil(ip_adapter_data.end_step_percent * total_step_count) + weight = ( + ip_adapter_data.weight[step_index] + if isinstance(ip_adapter_data.weight, List) + else ip_adapter_data.weight + ) + if step_index >= first_adapter_step and step_index <= last_adapter_step: + # only apply IP-Adapter if current step is within the IP-Adapter's begin/end step range + # ip_adapter_data.ip_adapter_model.set_scale(ip_adapter_data.weight) + ip_adapter_data.ip_adapter_model.set_scale(weight) + else: + # otherwise, set IP-Adapter scale to 0, so it has no effect + ip_adapter_data.ip_adapter_model.set_scale(0.0) + + # handle ControlNet(s) # default is no controlnet, so set controlnet processing output to None controlnet_down_block_samples, controlnet_mid_block_sample = None, None if control_data is not None: diff --git a/invokeai/backend/stable_diffusion/diffusion/__init__.py b/invokeai/backend/stable_diffusion/diffusion/__init__.py index 2bcc595889..00e6f1b916 100644 --- a/invokeai/backend/stable_diffusion/diffusion/__init__.py +++ b/invokeai/backend/stable_diffusion/diffusion/__init__.py @@ -3,9 +3,4 @@ Initialization file for invokeai.models.diffusion """ from .cross_attention_control import InvokeAICrossAttentionMixin # noqa: F401 from .cross_attention_map_saving import AttentionMapSaver # noqa: F401 -from .shared_invokeai_diffusion import ( # noqa: F401 - InvokeAIDiffuserComponent, - PostprocessingSettings, - BasicConditioningInfo, - SDXLConditioningInfo, -) +from .shared_invokeai_diffusion import InvokeAIDiffuserComponent # noqa: F401 diff --git a/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py b/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py new file mode 100644 index 0000000000..a8398e58ff --- /dev/null +++ b/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py @@ -0,0 +1,101 @@ +import dataclasses +import inspect +from dataclasses import dataclass, field +from typing import Any, List, Optional, Union + +import torch + +from .cross_attention_control import Arguments + + +@dataclass +class ExtraConditioningInfo: + tokens_count_including_eos_bos: int + cross_attention_control_args: Optional[Arguments] = None + + @property + def wants_cross_attention_control(self): + return self.cross_attention_control_args is not None + + +@dataclass +class BasicConditioningInfo: + embeds: torch.Tensor + # TODO(ryand): Right now we awkwardly copy the extra conditioning info from here up to `ConditioningData`. This + # should only be stored in one place. + extra_conditioning: Optional[ExtraConditioningInfo] + # weight: float + # mode: ConditioningAlgo + + def to(self, device, dtype=None): + self.embeds = self.embeds.to(device=device, dtype=dtype) + return self + + +@dataclass +class SDXLConditioningInfo(BasicConditioningInfo): + pooled_embeds: torch.Tensor + add_time_ids: torch.Tensor + + def to(self, device, dtype=None): + self.pooled_embeds = self.pooled_embeds.to(device=device, dtype=dtype) + self.add_time_ids = self.add_time_ids.to(device=device, dtype=dtype) + return super().to(device=device, dtype=dtype) + + +@dataclass(frozen=True) +class PostprocessingSettings: + threshold: float + warmup: float + h_symmetry_time_pct: Optional[float] + v_symmetry_time_pct: Optional[float] + + +@dataclass +class IPAdapterConditioningInfo: + cond_image_prompt_embeds: torch.Tensor + """IP-Adapter image encoder conditioning embeddings. + Shape: (batch_size, num_tokens, encoding_dim). + """ + uncond_image_prompt_embeds: torch.Tensor + """IP-Adapter image encoding embeddings to use for unconditional generation. + Shape: (batch_size, num_tokens, encoding_dim). + """ + + +@dataclass +class ConditioningData: + unconditioned_embeddings: BasicConditioningInfo + text_embeddings: BasicConditioningInfo + guidance_scale: Union[float, List[float]] + """ + Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598). + `guidance_scale` is defined as `w` of equation 2. of [Imagen Paper](https://arxiv.org/pdf/2205.11487.pdf). + Guidance scale is enabled by setting `guidance_scale > 1`. Higher guidance scale encourages to generate + images that are closely linked to the text `prompt`, usually at the expense of lower image quality. + """ + extra: Optional[ExtraConditioningInfo] = None + scheduler_args: dict[str, Any] = field(default_factory=dict) + """ + Additional arguments to pass to invokeai_diffuser.do_latent_postprocessing(). + """ + postprocessing_settings: Optional[PostprocessingSettings] = None + + ip_adapter_conditioning: Optional[IPAdapterConditioningInfo] = None + + @property + def dtype(self): + return self.text_embeddings.dtype + + def add_scheduler_args_if_applicable(self, scheduler, **kwargs): + scheduler_args = dict(self.scheduler_args) + step_method = inspect.signature(scheduler.step) + for name, value in kwargs.items(): + try: + step_method.bind_partial(**{name: value}) + except TypeError: + # FIXME: don't silently discard arguments + pass # debug("%s does not accept argument named %r", scheduler, name) + else: + scheduler_args[name] = value + return dataclasses.replace(self, scheduler_args=scheduler_args) diff --git a/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py b/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py index 35d4800859..3cb1862004 100644 --- a/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py +++ b/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py @@ -11,16 +11,12 @@ import diffusers import psutil import torch from compel.cross_attention_control import Arguments +from diffusers.models.attention_processor import Attention, AttentionProcessor, AttnProcessor, SlicedAttnProcessor from diffusers.models.unet_2d_condition import UNet2DConditionModel -from diffusers.models.attention_processor import AttentionProcessor -from diffusers.models.attention_processor import ( - Attention, - AttnProcessor, - SlicedAttnProcessor, -) from torch import nn import invokeai.backend.util.logging as logger + from ...util import torch_dtype @@ -380,11 +376,11 @@ def get_cross_attention_modules(model, which: CrossAttentionType) -> list[tuple[ # non-fatal error but .swap() won't work. logger.error( f"Error! CrossAttentionControl found an unexpected number of {cross_attention_class} modules in the model " - + f"(expected {expected_count}, found {cross_attention_modules_in_model_count}). Either monkey-patching failed " - + "or some assumption has changed about the structure of the model itself. Please fix the monkey-patching, " - + f"and/or update the {expected_count} above to an appropriate number, and/or find and inform someone who knows " - + "what it means. This error is non-fatal, but it is likely that .swap() and attention map display will not " - + "work properly until it is fixed." + f"(expected {expected_count}, found {cross_attention_modules_in_model_count}). Either monkey-patching " + "failed or some assumption has changed about the structure of the model itself. Please fix the " + f"monkey-patching, and/or update the {expected_count} above to an appropriate number, and/or find and " + "inform someone who knows what it means. This error is non-fatal, but it is likely that .swap() and " + "attention map display will not work properly until it is fixed." ) return attention_module_tuples @@ -581,6 +577,7 @@ class SlicedSwapCrossAttnProcesser(SlicedAttnProcessor): attention_mask=None, # kwargs swap_cross_attn_context: SwapCrossAttnContext = None, + **kwargs, ): attention_type = CrossAttentionType.SELF if encoder_hidden_states is None else CrossAttentionType.TOKENS diff --git a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py index f05adafca2..125e62a2e8 100644 --- a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py +++ b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py @@ -1,8 +1,7 @@ from __future__ import annotations -from contextlib import contextmanager -from dataclasses import dataclass import math +from contextlib import contextmanager from typing import Any, Callable, Optional, Union import torch @@ -10,9 +9,14 @@ from diffusers import UNet2DConditionModel from typing_extensions import TypeAlias from invokeai.app.services.config import InvokeAIAppConfig +from invokeai.backend.stable_diffusion.diffusion.conditioning_data import ( + ConditioningData, + ExtraConditioningInfo, + PostprocessingSettings, + SDXLConditioningInfo, +) from .cross_attention_control import ( - Arguments, Context, CrossAttentionType, SwapCrossAttnContext, @@ -31,37 +35,6 @@ ModelForwardCallback: TypeAlias = Union[ ] -@dataclass -class BasicConditioningInfo: - embeds: torch.Tensor - extra_conditioning: Optional[InvokeAIDiffuserComponent.ExtraConditioningInfo] - # weight: float - # mode: ConditioningAlgo - - def to(self, device, dtype=None): - self.embeds = self.embeds.to(device=device, dtype=dtype) - return self - - -@dataclass -class SDXLConditioningInfo(BasicConditioningInfo): - pooled_embeds: torch.Tensor - add_time_ids: torch.Tensor - - def to(self, device, dtype=None): - self.pooled_embeds = self.pooled_embeds.to(device=device, dtype=dtype) - self.add_time_ids = self.add_time_ids.to(device=device, dtype=dtype) - return super().to(device=device, dtype=dtype) - - -@dataclass(frozen=True) -class PostprocessingSettings: - threshold: float - warmup: float - h_symmetry_time_pct: Optional[float] - v_symmetry_time_pct: Optional[float] - - class InvokeAIDiffuserComponent: """ The aim of this component is to provide a single place for code that can be applied identically to @@ -75,15 +48,6 @@ class InvokeAIDiffuserComponent: debug_thresholding = False sequential_guidance = False - @dataclass - class ExtraConditioningInfo: - tokens_count_including_eos_bos: int - cross_attention_control_args: Optional[Arguments] = None - - @property - def wants_cross_attention_control(self): - return self.cross_attention_control_args is not None - def __init__( self, model, @@ -103,30 +67,26 @@ class InvokeAIDiffuserComponent: @contextmanager def custom_attention_context( self, - unet: UNet2DConditionModel, # note: also may futz with the text encoder depending on requested LoRAs + unet: UNet2DConditionModel, extra_conditioning_info: Optional[ExtraConditioningInfo], step_count: int, ): - old_attn_processors = None - if extra_conditioning_info and (extra_conditioning_info.wants_cross_attention_control): - old_attn_processors = unet.attn_processors - # Load lora conditions into the model - if extra_conditioning_info.wants_cross_attention_control: - self.cross_attention_control_context = Context( - arguments=extra_conditioning_info.cross_attention_control_args, - step_count=step_count, - ) - setup_cross_attention_control_attention_processors( - unet, - self.cross_attention_control_context, - ) + old_attn_processors = unet.attn_processors try: + self.cross_attention_control_context = Context( + arguments=extra_conditioning_info.cross_attention_control_args, + step_count=step_count, + ) + setup_cross_attention_control_attention_processors( + unet, + self.cross_attention_control_context, + ) + yield None finally: self.cross_attention_control_context = None - if old_attn_processors is not None: - unet.set_attn_processor(old_attn_processors) + unet.set_attn_processor(old_attn_processors) # TODO resuscitate attention map saving # self.remove_attention_map_saving() @@ -376,11 +336,24 @@ class InvokeAIDiffuserComponent: # methods below are called from do_diffusion_step and should be considered private to this class. - def _apply_standard_conditioning(self, x, sigma, conditioning_data, **kwargs): - # fast batched path + def _apply_standard_conditioning(self, x, sigma, conditioning_data: ConditioningData, **kwargs): + """Runs the conditioned and unconditioned UNet forward passes in a single batch for faster inference speed at + the cost of higher memory usage. + """ x_twice = torch.cat([x] * 2) sigma_twice = torch.cat([sigma] * 2) + cross_attention_kwargs = None + if conditioning_data.ip_adapter_conditioning is not None: + cross_attention_kwargs = { + "ip_adapter_image_prompt_embeds": torch.cat( + [ + conditioning_data.ip_adapter_conditioning.uncond_image_prompt_embeds, + conditioning_data.ip_adapter_conditioning.cond_image_prompt_embeds, + ] + ) + } + added_cond_kwargs = None if type(conditioning_data.text_embeddings) is SDXLConditioningInfo: added_cond_kwargs = { @@ -408,6 +381,7 @@ class InvokeAIDiffuserComponent: x_twice, sigma_twice, both_conditionings, + cross_attention_kwargs=cross_attention_kwargs, encoder_attention_mask=encoder_attention_mask, added_cond_kwargs=added_cond_kwargs, **kwargs, @@ -419,9 +393,12 @@ class InvokeAIDiffuserComponent: self, x: torch.Tensor, sigma, - conditioning_data, + conditioning_data: ConditioningData, **kwargs, ): + """Runs the conditioned and unconditioned UNet forward passes sequentially for lower memory usage at the cost of + slower execution speed. + """ # low-memory sequential path uncond_down_block, cond_down_block = None, None down_block_additional_residuals = kwargs.pop("down_block_additional_residuals", None) @@ -437,6 +414,13 @@ class InvokeAIDiffuserComponent: if mid_block_additional_residual is not None: uncond_mid_block, cond_mid_block = mid_block_additional_residual.chunk(2) + # Run unconditional UNet denoising. + cross_attention_kwargs = None + if conditioning_data.ip_adapter_conditioning is not None: + cross_attention_kwargs = { + "ip_adapter_image_prompt_embeds": conditioning_data.ip_adapter_conditioning.uncond_image_prompt_embeds + } + added_cond_kwargs = None is_sdxl = type(conditioning_data.text_embeddings) is SDXLConditioningInfo if is_sdxl: @@ -449,12 +433,21 @@ class InvokeAIDiffuserComponent: x, sigma, conditioning_data.unconditioned_embeddings.embeds, + cross_attention_kwargs=cross_attention_kwargs, down_block_additional_residuals=uncond_down_block, mid_block_additional_residual=uncond_mid_block, added_cond_kwargs=added_cond_kwargs, **kwargs, ) + # Run conditional UNet denoising. + cross_attention_kwargs = None + if conditioning_data.ip_adapter_conditioning is not None: + cross_attention_kwargs = { + "ip_adapter_image_prompt_embeds": conditioning_data.ip_adapter_conditioning.cond_image_prompt_embeds + } + + added_cond_kwargs = None if is_sdxl: added_cond_kwargs = { "text_embeds": conditioning_data.text_embeddings.pooled_embeds, @@ -465,6 +458,7 @@ class InvokeAIDiffuserComponent: x, sigma, conditioning_data.text_embeddings.embeds, + cross_attention_kwargs=cross_attention_kwargs, down_block_additional_residuals=cond_down_block, mid_block_additional_residual=cond_mid_block, added_cond_kwargs=added_cond_kwargs, diff --git a/invokeai/backend/stable_diffusion/schedulers/schedulers.py b/invokeai/backend/stable_diffusion/schedulers/schedulers.py index 2f62f8c477..16213acb64 100644 --- a/invokeai/backend/stable_diffusion/schedulers/schedulers.py +++ b/invokeai/backend/stable_diffusion/schedulers/schedulers.py @@ -1,18 +1,18 @@ from diffusers import ( DDIMScheduler, + DDPMScheduler, + DEISMultistepScheduler, DPMSolverMultistepScheduler, - KDPM2DiscreteScheduler, - KDPM2AncestralDiscreteScheduler, - EulerDiscreteScheduler, + DPMSolverSDEScheduler, + DPMSolverSinglestepScheduler, EulerAncestralDiscreteScheduler, + EulerDiscreteScheduler, HeunDiscreteScheduler, + KDPM2AncestralDiscreteScheduler, + KDPM2DiscreteScheduler, LMSDiscreteScheduler, PNDMScheduler, UniPCMultistepScheduler, - DPMSolverSinglestepScheduler, - DEISMultistepScheduler, - DDPMScheduler, - DPMSolverSDEScheduler, ) SCHEDULER_MAP = dict( diff --git a/invokeai/backend/training/textual_inversion_training.py b/invokeai/backend/training/textual_inversion_training.py index d92aa80b38..153bd0fcc4 100644 --- a/invokeai/backend/training/textual_inversion_training.py +++ b/invokeai/backend/training/textual_inversion_training.py @@ -24,13 +24,8 @@ import torch.utils.checkpoint import transformers from accelerate import Accelerator from accelerate.logging import get_logger -from accelerate.utils import set_seed, ProjectConfiguration -from diffusers import ( - AutoencoderKL, - DDPMScheduler, - StableDiffusionPipeline, - UNet2DConditionModel, -) +from accelerate.utils import ProjectConfiguration, set_seed +from diffusers import AutoencoderKL, DDPMScheduler, StableDiffusionPipeline, UNet2DConditionModel from diffusers.optimization import get_scheduler from diffusers.utils import check_min_version from diffusers.utils.import_utils import is_xformers_available diff --git a/invokeai/backend/util/__init__.py b/invokeai/backend/util/__init__.py index a8d53f54a4..601aab00cb 100644 --- a/invokeai/backend/util/__init__.py +++ b/invokeai/backend/util/__init__.py @@ -1,6 +1,7 @@ """ Initialization file for invokeai.backend.util """ +from .attention import auto_detect_slice_size # noqa: F401 from .devices import ( # noqa: F401 CPU_DEVICE, CUDA_DEVICE, @@ -10,11 +11,4 @@ from .devices import ( # noqa: F401 normalize_device, torch_dtype, ) -from .util import ( # noqa: F401 - ask_user, - download_with_resume, - instantiate_from_config, - url_attachment_name, - Chdir, -) -from .attention import auto_detect_slice_size # noqa: F401 +from .util import Chdir, ask_user, download_with_resume, instantiate_from_config, url_attachment_name # noqa: F401 diff --git a/invokeai/backend/util/attention.py b/invokeai/backend/util/attention.py index a821464394..910933044e 100644 --- a/invokeai/backend/util/attention.py +++ b/invokeai/backend/util/attention.py @@ -3,8 +3,8 @@ Utility routine used for autodetection of optimal slice size for attention mechanism. """ -import torch import psutil +import torch def auto_detect_slice_size(latents: torch.Tensor) -> str: diff --git a/invokeai/backend/util/db_maintenance.py b/invokeai/backend/util/db_maintenance.py new file mode 100644 index 0000000000..d5f6200ad9 --- /dev/null +++ b/invokeai/backend/util/db_maintenance.py @@ -0,0 +1,568 @@ +# pylint: disable=line-too-long +# pylint: disable=broad-exception-caught +# pylint: disable=missing-function-docstring +"""Script to peform db maintenance and outputs directory management.""" + +import argparse +import datetime +import enum +import glob +import locale +import os +import shutil +import sqlite3 +from pathlib import Path + +import PIL +import PIL.ImageOps +import PIL.PngImagePlugin +import yaml + + +class ConfigMapper: + """Configuration loader.""" + + def __init__(self): # noqa D107 + pass + + TIMESTAMP_STRING = datetime.datetime.utcnow().strftime("%Y%m%dT%H%M%SZ") + + INVOKE_DIRNAME = "invokeai" + YAML_FILENAME = "invokeai.yaml" + DATABASE_FILENAME = "invokeai.db" + + database_path = None + database_backup_dir = None + outputs_path = None + archive_path = None + thumbnails_path = None + thumbnails_archive_path = None + + def load(self): + """Read paths from yaml config and validate.""" + root = "." + + if not self.__load_from_root_config(os.path.abspath(root)): + return False + + return True + + def __load_from_root_config(self, invoke_root): + """Validate a yaml path exists, confirm the user wants to use it and load config.""" + yaml_path = os.path.join(invoke_root, self.YAML_FILENAME) + if os.path.exists(yaml_path): + db_dir, outdir = self.__load_paths_from_yaml_file(yaml_path) + + if db_dir is None or outdir is None: + print("The invokeai.yaml file was found but is missing the db_dir and/or outdir setting!") + return False + + if os.path.isabs(db_dir): + self.database_path = os.path.join(db_dir, self.DATABASE_FILENAME) + else: + self.database_path = os.path.join(invoke_root, db_dir, self.DATABASE_FILENAME) + + self.database_backup_dir = os.path.join(os.path.dirname(self.database_path), "backup") + + if os.path.isabs(outdir): + self.outputs_path = os.path.join(outdir, "images") + self.archive_path = os.path.join(outdir, "images-archive") + else: + self.outputs_path = os.path.join(invoke_root, outdir, "images") + self.archive_path = os.path.join(invoke_root, outdir, "images-archive") + + self.thumbnails_path = os.path.join(self.outputs_path, "thumbnails") + self.thumbnails_archive_path = os.path.join(self.archive_path, "thumbnails") + + db_exists = os.path.exists(self.database_path) + outdir_exists = os.path.exists(self.outputs_path) + + text = f"Found {self.YAML_FILENAME} file at {yaml_path}:" + text += f"\n Database : {self.database_path} - {'Exists!' if db_exists else 'Not Found!'}" + text += f"\n Outputs : {self.outputs_path}- {'Exists!' if outdir_exists else 'Not Found!'}" + print(text) + + if db_exists and outdir_exists: + return True + else: + print( + "\nOne or more paths specified in invoke.yaml do not exist. Please inspect/correct the configuration and ensure the script is run in the developer console mode (option 8) from an Invoke AI root directory." + ) + return False + else: + print( + f"Auto-discovery of configuration failed! Could not find ({yaml_path})!\n\nPlease ensure the script is run in the developer console mode (option 8) from an Invoke AI root directory." + ) + return False + + def __load_paths_from_yaml_file(self, yaml_path): + """Load an Invoke AI yaml file and get the database and outputs paths.""" + try: + with open(yaml_path, "rt", encoding=locale.getpreferredencoding()) as file: + yamlinfo = yaml.safe_load(file) + db_dir = yamlinfo.get("InvokeAI", {}).get("Paths", {}).get("db_dir", None) + outdir = yamlinfo.get("InvokeAI", {}).get("Paths", {}).get("outdir", None) + return db_dir, outdir + except Exception: + print(f"Failed to load paths from yaml file! {yaml_path}!") + return None, None + + +class MaintenanceStats: + """DTO for tracking work progress.""" + + def __init__(self): # noqa D107 + pass + + time_start = datetime.datetime.utcnow() + count_orphaned_db_entries_cleaned = 0 + count_orphaned_disk_files_cleaned = 0 + count_orphaned_thumbnails_cleaned = 0 + count_thumbnails_regenerated = 0 + count_errors = 0 + + @staticmethod + def get_elapsed_time_string(): + """Get a friendly time string for the time elapsed since processing start.""" + time_now = datetime.datetime.utcnow() + total_seconds = (time_now - MaintenanceStats.time_start).total_seconds() + hours = int((total_seconds) / 3600) + minutes = int(((total_seconds) % 3600) / 60) + seconds = total_seconds % 60 + out_str = f"{hours} hour(s) -" if hours > 0 else "" + out_str += f"{minutes} minute(s) -" if minutes > 0 else "" + out_str += f"{seconds:.2f} second(s)" + return out_str + + +class DatabaseMapper: + """Class to abstract database functionality.""" + + def __init__(self, database_path, database_backup_dir): # noqa D107 + self.database_path = database_path + self.database_backup_dir = database_backup_dir + self.connection = None + self.cursor = None + + def backup(self, timestamp_string): + """Take a backup of the database.""" + if not os.path.exists(self.database_backup_dir): + print(f"Database backup directory {self.database_backup_dir} does not exist -> creating...", end="") + os.makedirs(self.database_backup_dir) + print("Done!") + database_backup_path = os.path.join(self.database_backup_dir, f"backup-{timestamp_string}-invokeai.db") + print(f"Making DB Backup at {database_backup_path}...", end="") + shutil.copy2(self.database_path, database_backup_path) + print("Done!") + + def connect(self): + """Open connection to the database.""" + self.connection = sqlite3.connect(self.database_path) + self.cursor = self.connection.cursor() + + def get_all_image_files(self): + """Get the full list of image file names from the database.""" + sql_get_image_by_name = "SELECT image_name FROM images" + self.cursor.execute(sql_get_image_by_name) + rows = self.cursor.fetchall() + db_files = [] + for row in rows: + db_files.append(row[0]) + return db_files + + def remove_image_file_record(self, filename: str): + """Remove an image file reference from the database by filename.""" + sanitized_filename = str.replace(filename, "'", "''") # prevent injection + sql_command = f"DELETE FROM images WHERE image_name='{sanitized_filename}'" + self.cursor.execute(sql_command) + self.connection.commit() + + def does_image_exist(self, image_filename): + """Check database if a image name already exists and return a boolean.""" + sanitized_filename = str.replace(image_filename, "'", "''") # prevent injection + sql_get_image_by_name = f"SELECT image_name FROM images WHERE image_name='{sanitized_filename}'" + self.cursor.execute(sql_get_image_by_name) + rows = self.cursor.fetchall() + return True if len(rows) > 0 else False + + def disconnect(self): + """Disconnect from the db, cleaning up connections and cursors.""" + if self.cursor is not None: + self.cursor.close() + if self.connection is not None: + self.connection.close() + + +class PhysicalFileMapper: + """Containing class for script functionality.""" + + def __init__(self, outputs_path, thumbnails_path, archive_path, thumbnails_archive_path): # noqa D107 + self.outputs_path = outputs_path + self.archive_path = archive_path + self.thumbnails_path = thumbnails_path + self.thumbnails_archive_path = thumbnails_archive_path + + def create_archive_directories(self): + """Create the directory for archiving orphaned image files.""" + if not os.path.exists(self.archive_path): + print(f"Image archive directory ({self.archive_path}) does not exist -> creating...", end="") + os.makedirs(self.archive_path) + print("Created!") + if not os.path.exists(self.thumbnails_archive_path): + print( + f"Image thumbnails archive directory ({self.thumbnails_archive_path}) does not exist -> creating...", + end="", + ) + os.makedirs(self.thumbnails_archive_path) + print("Created!") + + def get_image_path_for_image_name(self, image_filename): # noqa D102 + return os.path.join(self.outputs_path, image_filename) + + def image_file_exists(self, image_filename): # noqa D102 + return os.path.exists(self.get_image_path_for_image_name(image_filename)) + + def get_thumbnail_path_for_image(self, image_filename): # noqa D102 + return os.path.join(self.thumbnails_path, os.path.splitext(image_filename)[0]) + ".webp" + + def get_image_name_from_thumbnail_path(self, thumbnail_path): # noqa D102 + return os.path.splitext(os.path.basename(thumbnail_path))[0] + ".png" + + def thumbnail_exists_for_filename(self, image_filename): # noqa D102 + return os.path.exists(self.get_thumbnail_path_for_image(image_filename)) + + def archive_image(self, image_filename): # noqa D102 + if self.image_file_exists(image_filename): + image_path = self.get_image_path_for_image_name(image_filename) + shutil.move(image_path, self.archive_path) + + def archive_thumbnail_by_image_filename(self, image_filename): # noqa D102 + if self.thumbnail_exists_for_filename(image_filename): + thumbnail_path = self.get_thumbnail_path_for_image(image_filename) + shutil.move(thumbnail_path, self.thumbnails_archive_path) + + def get_all_png_filenames_in_directory(self, directory_path): # noqa D102 + filepaths = glob.glob(directory_path + "/*.png", recursive=False) + filenames = [] + for filepath in filepaths: + filenames.append(os.path.basename(filepath)) + return filenames + + def get_all_thumbnails_with_full_path(self, thumbnails_directory): # noqa D102 + return glob.glob(thumbnails_directory + "/*.webp", recursive=False) + + def generate_thumbnail_for_image_name(self, image_filename): # noqa D102 + # create thumbnail + file_path = self.get_image_path_for_image_name(image_filename) + thumb_path = self.get_thumbnail_path_for_image(image_filename) + thumb_size = 256, 256 + with PIL.Image.open(file_path) as source_image: + source_image.thumbnail(thumb_size) + source_image.save(thumb_path, "webp") + + +class MaintenanceOperation(str, enum.Enum): + """Enum class for operations.""" + + Ask = "ask" + CleanOrphanedDbEntries = "clean" + CleanOrphanedDiskFiles = "archive" + ReGenerateThumbnails = "thumbnails" + All = "all" + + +class InvokeAIDatabaseMaintenanceApp: + """Main processor class for the application.""" + + _operation: MaintenanceOperation + _headless: bool = False + __stats: MaintenanceStats = MaintenanceStats() + + def __init__(self, operation: MaintenanceOperation = MaintenanceOperation.Ask): + """Initialize maintenance app.""" + self._operation = MaintenanceOperation(operation) + self._headless = operation != MaintenanceOperation.Ask + + def ask_for_operation(self) -> MaintenanceOperation: + """Ask user to choose the operation to perform.""" + while True: + print() + print("It is recommennded to run these operations as ordered below to avoid additional") + print("work being performed that will be discarded in a subsequent step.") + print() + print("Select maintenance operation:") + print() + print("1) Clean Orphaned Database Image Entries") + print(" Cleans entries in the database where the matching file was removed from") + print(" the outputs directory.") + print("2) Archive Orphaned Image Files") + print(" Files found in the outputs directory without an entry in the database are") + print(" moved to an archive directory.") + print("3) Re-Generate Missing Thumbnail Files") + print(" For files found in the outputs directory, re-generate a thumbnail if it") + print(" not found in the thumbnails directory.") + print() + print("(CTRL-C to quit)") + + try: + input_option = int(input("Specify desired operation number (1-3): ")) + + operations = [ + MaintenanceOperation.CleanOrphanedDbEntries, + MaintenanceOperation.CleanOrphanedDiskFiles, + MaintenanceOperation.ReGenerateThumbnails, + ] + return operations[input_option - 1] + except (IndexError, ValueError): + print("\nInvalid selection!") + + def ask_to_continue(self) -> bool: + """Ask user whether they want to continue with the operation.""" + while True: + input_choice = input("Do you wish to continue? (Y or N)? ") + if str.lower(input_choice) == "y": + return True + if str.lower(input_choice) == "n": + return False + + def clean_orphaned_db_entries( + self, config: ConfigMapper, file_mapper: PhysicalFileMapper, db_mapper: DatabaseMapper + ): + """Clean dangling database entries that no longer point to a file in outputs.""" + if self._headless: + print(f"Removing database references to images that no longer exist in {config.outputs_path}...") + else: + print() + print("===============================================================================") + print("= Clean Orphaned Database Entries") + print() + print("Perform this operation if you have removed files from the outputs/images") + print("directory but the database was never updated. You may see this as empty imaages") + print("in the app gallery, or images that only show an enlarged version of the") + print("thumbnail.") + print() + print(f"Database File Path : {config.database_path}") + print(f"Database backup will be taken at : {config.database_backup_dir}") + print(f"Outputs/Images Directory : {config.outputs_path}") + print(f"Outputs/Images Archive Directory : {config.archive_path}") + + print("\nNotes about this operation:") + print("- This operation will find database image file entries that do not exist in the") + print(" outputs/images dir and remove those entries from the database.") + print("- This operation will target all image types including intermediate files.") + print("- If a thumbnail still exists in outputs/images/thumbnails matching the") + print(" orphaned entry, it will be moved to the archive directory.") + print() + + if not self.ask_to_continue(): + raise KeyboardInterrupt + + file_mapper.create_archive_directories() + db_mapper.backup(config.TIMESTAMP_STRING) + db_mapper.connect() + db_files = db_mapper.get_all_image_files() + for db_file in db_files: + try: + if not file_mapper.image_file_exists(db_file): + print(f"Found orphaned image db entry {db_file}. Cleaning ...", end="") + db_mapper.remove_image_file_record(db_file) + print("Cleaned!") + if file_mapper.thumbnail_exists_for_filename(db_file): + print("A thumbnail was found, archiving ...", end="") + file_mapper.archive_thumbnail_by_image_filename(db_file) + print("Archived!") + self.__stats.count_orphaned_db_entries_cleaned += 1 + except Exception as ex: + print("An error occurred cleaning db entry, error was:") + print(ex) + self.__stats.count_errors += 1 + + def clean_orphaned_disk_files( + self, config: ConfigMapper, file_mapper: PhysicalFileMapper, db_mapper: DatabaseMapper + ): + """Archive image files that no longer have entries in the database.""" + if self._headless: + print(f"Archiving orphaned image files to {config.archive_path}...") + else: + print() + print("===============================================================================") + print("= Clean Orphaned Disk Files") + print() + print("Perform this operation if you have files that were copied into the outputs") + print("directory which are not referenced by the database. This can happen if you") + print("upgraded to a version with a fresh database, but re-used the outputs directory") + print("and now new images are mixed with the files not in the db. The script will") + print("archive these files so you can choose to delete them or re-import using the") + print("official import script.") + print() + print(f"Database File Path : {config.database_path}") + print(f"Database backup will be taken at : {config.database_backup_dir}") + print(f"Outputs/Images Directory : {config.outputs_path}") + print(f"Outputs/Images Archive Directory : {config.archive_path}") + + print("\nNotes about this operation:") + print("- This operation will find image files not referenced by the database and move to an") + print(" archive directory.") + print("- This operation will target all image types including intermediate references.") + print("- The matching thumbnail will also be archived.") + print("- Any remaining orphaned thumbnails will also be archived.") + + if not self.ask_to_continue(): + raise KeyboardInterrupt + + print() + + file_mapper.create_archive_directories() + db_mapper.backup(config.TIMESTAMP_STRING) + db_mapper.connect() + phys_files = file_mapper.get_all_png_filenames_in_directory(config.outputs_path) + for phys_file in phys_files: + try: + if not db_mapper.does_image_exist(phys_file): + print(f"Found orphaned file {phys_file}, archiving...", end="") + file_mapper.archive_image(phys_file) + print("Archived!") + if file_mapper.thumbnail_exists_for_filename(phys_file): + print("Related thumbnail exists, archiving...", end="") + file_mapper.archive_thumbnail_by_image_filename(phys_file) + print("Archived!") + else: + print("No matching thumbnail existed to be cleaned.") + self.__stats.count_orphaned_disk_files_cleaned += 1 + except Exception as ex: + print("Error found trying to archive file or thumbnail, error was:") + print(ex) + self.__stats.count_errors += 1 + + thumb_filepaths = file_mapper.get_all_thumbnails_with_full_path(config.thumbnails_path) + # archive any remaining orphaned thumbnails + for thumb_filepath in thumb_filepaths: + try: + thumb_src_image_name = file_mapper.get_image_name_from_thumbnail_path(thumb_filepath) + if not file_mapper.image_file_exists(thumb_src_image_name): + print(f"Found orphaned thumbnail {thumb_filepath}, archiving...", end="") + file_mapper.archive_thumbnail_by_image_filename(thumb_src_image_name) + print("Archived!") + self.__stats.count_orphaned_thumbnails_cleaned += 1 + except Exception as ex: + print("Error found trying to archive thumbnail, error was:") + print(ex) + self.__stats.count_errors += 1 + + def regenerate_thumbnails(self, config: ConfigMapper, file_mapper: PhysicalFileMapper, *args): + """Create missing thumbnails for any valid general images both in the db and on disk.""" + if self._headless: + print("Regenerating missing image thumbnails...") + else: + print() + print("===============================================================================") + print("= Regenerate Thumbnails") + print() + print("This operation will find files that have no matching thumbnail on disk") + print("and regenerate those thumbnail files.") + print("NOTE: It is STRONGLY recommended that the user first clean/archive orphaned") + print(" disk files from the previous menu to avoid wasting time regenerating") + print(" thumbnails for orphaned files.") + + print() + print(f"Outputs/Images Directory : {config.outputs_path}") + print(f"Outputs/Images Directory : {config.thumbnails_path}") + + print("\nNotes about this operation:") + print("- This operation will find image files both referenced in the db and on disk") + print(" that do not have a matching thumbnail on disk and re-generate the thumbnail") + print(" file.") + + if not self.ask_to_continue(): + raise KeyboardInterrupt + + print() + + phys_files = file_mapper.get_all_png_filenames_in_directory(config.outputs_path) + for phys_file in phys_files: + try: + if not file_mapper.thumbnail_exists_for_filename(phys_file): + print(f"Found file without thumbnail {phys_file}...Regenerating Thumbnail...", end="") + file_mapper.generate_thumbnail_for_image_name(phys_file) + print("Done!") + self.__stats.count_thumbnails_regenerated += 1 + except Exception as ex: + print("Error found trying to regenerate thumbnail, error was:") + print(ex) + self.__stats.count_errors += 1 + + def main(self): # noqa D107 + print("\n===============================================================================") + print("Database and outputs Maintenance for Invoke AI 3.0.0 +") + print("===============================================================================\n") + + config_mapper = ConfigMapper() + if not config_mapper.load(): + print("\nInvalid configuration...exiting.\n") + return + + file_mapper = PhysicalFileMapper( + config_mapper.outputs_path, + config_mapper.thumbnails_path, + config_mapper.archive_path, + config_mapper.thumbnails_archive_path, + ) + db_mapper = DatabaseMapper(config_mapper.database_path, config_mapper.database_backup_dir) + + op = self._operation + operations_to_perform = [] + + if op == MaintenanceOperation.Ask: + op = self.ask_for_operation() + + if op in [MaintenanceOperation.CleanOrphanedDbEntries, MaintenanceOperation.All]: + operations_to_perform.append(self.clean_orphaned_db_entries) + if op in [MaintenanceOperation.CleanOrphanedDiskFiles, MaintenanceOperation.All]: + operations_to_perform.append(self.clean_orphaned_disk_files) + if op in [MaintenanceOperation.ReGenerateThumbnails, MaintenanceOperation.All]: + operations_to_perform.append(self.regenerate_thumbnails) + + for operation in operations_to_perform: + operation(config_mapper, file_mapper, db_mapper) + + print("\n===============================================================================") + print(f"= Maintenance Complete - Elapsed Time: {MaintenanceStats.get_elapsed_time_string()}") + print() + print(f"Orphaned db entries cleaned : {self.__stats.count_orphaned_db_entries_cleaned}") + print(f"Orphaned disk files archived : {self.__stats.count_orphaned_disk_files_cleaned}") + print(f"Orphaned thumbnail files archived : {self.__stats.count_orphaned_thumbnails_cleaned}") + print(f"Thumbnails regenerated : {self.__stats.count_thumbnails_regenerated}") + print(f"Errors during operation : {self.__stats.count_errors}") + + print() + + +def main(): # noqa D107 + parser = argparse.ArgumentParser( + description="InvokeAI image database maintenance utility", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog="""Operations: + ask Choose operation from a menu [default] + all Run all maintenance operations + clean Clean database of dangling entries + archive Archive orphaned image files + thumbnails Regenerate missing image thumbnails +""", + ) + parser.add_argument("--root", default=".", type=Path, help="InvokeAI root directory") + parser.add_argument( + "--operation", default="ask", choices=[x.value for x in MaintenanceOperation], help="Operation to perform." + ) + args = parser.parse_args() + try: + os.chdir(args.root) + app = InvokeAIDatabaseMaintenanceApp(args.operation) + app.main() + except KeyboardInterrupt: + print("\n\nUser cancelled execution.") + except FileNotFoundError: + print(f"Invalid root directory '{args.root}'.") + + +if __name__ == "__main__": + main() diff --git a/invokeai/backend/util/devices.py b/invokeai/backend/util/devices.py index bdaf3244f3..84ca7ee02b 100644 --- a/invokeai/backend/util/devices.py +++ b/invokeai/backend/util/devices.py @@ -1,12 +1,13 @@ from __future__ import annotations -from contextlib import nullcontext -from packaging import version import platform +from contextlib import nullcontext +from typing import Union import torch +from packaging import version from torch import autocast -from typing import Union + from invokeai.app.services.config import InvokeAIAppConfig CPU_DEVICE = torch.device("cpu") diff --git a/invokeai/backend/util/hotfixes.py b/invokeai/backend/util/hotfixes.py index 42ca5d08ee..fb1297996c 100644 --- a/invokeai/backend/util/hotfixes.py +++ b/invokeai/backend/util/hotfixes.py @@ -772,11 +772,13 @@ diffusers.models.controlnet.ControlNetModel = ControlNetModel # NOTE: with this patch, torch.compile crashes on 2.0 torch(already fixed in nightly) # https://github.com/huggingface/diffusers/pull/4315 # https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/lora.py#L96C18-L96C18 -def new_LoRACompatibleConv_forward(self, x): +def new_LoRACompatibleConv_forward(self, hidden_states, scale: float = 1.0): if self.lora_layer is None: - return super(diffusers.models.lora.LoRACompatibleConv, self).forward(x) + return super(diffusers.models.lora.LoRACompatibleConv, self).forward(hidden_states) else: - return super(diffusers.models.lora.LoRACompatibleConv, self).forward(x) + self.lora_layer(x) + return super(diffusers.models.lora.LoRACompatibleConv, self).forward(hidden_states) + ( + scale * self.lora_layer(hidden_states) + ) diffusers.models.lora.LoRACompatibleConv.forward = new_LoRACompatibleConv_forward diff --git a/invokeai/backend/util/logging.py b/invokeai/backend/util/logging.py index 50b9909823..3c829a1a02 100644 --- a/invokeai/backend/util/logging.py +++ b/invokeai/backend/util/logging.py @@ -178,7 +178,6 @@ InvokeAI: import logging.handlers import socket import urllib.parse - from abc import abstractmethod from pathlib import Path diff --git a/invokeai/backend/util/util.py b/invokeai/backend/util/util.py index 7ef9c72fb0..0796f1a8cd 100644 --- a/invokeai/backend/util/util.py +++ b/invokeai/backend/util/util.py @@ -1,11 +1,10 @@ +import base64 import importlib +import io import math import multiprocessing as mp import os import re -import io -import base64 - from collections import abc from inspect import isfunction from pathlib import Path @@ -19,6 +18,7 @@ from PIL import Image, ImageDraw, ImageFont from tqdm import tqdm import invokeai.backend.util.logging as logger + from .devices import torch_dtype diff --git a/invokeai/frontend/install/import_images.py b/invokeai/frontend/install/import_images.py index c0db81e141..ec90700bd0 100644 --- a/invokeai/frontend/install/import_images.py +++ b/invokeai/frontend/install/import_images.py @@ -6,27 +6,27 @@ # pylint: disable=broad-exception-caught """Script to import images into the new database system for 3.0.0""" -import os import datetime -import shutil -import locale -import sqlite3 -import json import glob +import json +import locale +import os import re -import uuid -import yaml +import shutil +import sqlite3 +from pathlib import Path + import PIL import PIL.ImageOps import PIL.PngImagePlugin - -from pathlib import Path +import yaml from prompt_toolkit import prompt -from prompt_toolkit.shortcuts import message_dialog from prompt_toolkit.completion import PathCompleter from prompt_toolkit.key_binding import KeyBindings +from prompt_toolkit.shortcuts import message_dialog from invokeai.app.services.config import InvokeAIAppConfig +from invokeai.app.util.misc import uuid_string app_config = InvokeAIAppConfig.get_config() @@ -421,7 +421,7 @@ VALUES ('{filename}', 'internal', 'general', {width}, {height}, null, null, '{me return rows[0][0] else: board_date_string = datetime.datetime.utcnow().date().isoformat() - new_board_id = str(uuid.uuid4()) + new_board_id = uuid_string() sql_insert_board = f"INSERT INTO boards (board_id, board_name, created_at, updated_at) VALUES ('{new_board_id}', '{board_name}', '{board_date_string}', '{board_date_string}')" self.cursor.execute(sql_insert_board) self.connection.commit() diff --git a/invokeai/frontend/install/invokeai_update.py b/invokeai/frontend/install/invokeai_update.py index 45a0e8ec0a..87661da79f 100644 --- a/invokeai/frontend/install/invokeai_update.py +++ b/invokeai/frontend/install/invokeai_update.py @@ -4,6 +4,7 @@ pip install . """ import os import platform + import pkg_resources import psutil import requests diff --git a/invokeai/frontend/install/model_install.py b/invokeai/frontend/install/model_install.py index ee0ec3a05f..64ad3a7d77 100644 --- a/invokeai/frontend/install/model_install.py +++ b/invokeai/frontend/install/model_install.py @@ -11,6 +11,7 @@ The work is actually done in backend code in model_install_backend.py. import argparse import curses +import logging import sys import textwrap import traceback @@ -20,34 +21,28 @@ from multiprocessing.connection import Connection, Pipe from pathlib import Path from shutil import get_terminal_size -import logging import npyscreen import torch from npyscreen import widget -from invokeai.backend.util.logging import InvokeAILogger - -from invokeai.backend.install.model_install_backend import ( - InstallSelections, - ModelInstall, - SchedulerPredictionType, -) +from invokeai.app.services.config import InvokeAIAppConfig +from invokeai.backend.install.model_install_backend import InstallSelections, ModelInstall, SchedulerPredictionType from invokeai.backend.model_management import ModelManager, ModelType from invokeai.backend.util import choose_precision, choose_torch_device +from invokeai.backend.util.logging import InvokeAILogger from invokeai.frontend.install.widgets import ( + MIN_COLS, + MIN_LINES, + BufferBox, CenteredTitleText, + CyclingForm, MultiSelectColumns, SingleSelectColumns, TextBox, - BufferBox, - set_min_terminal_size, - select_stable_diffusion_config_file, - CyclingForm, - MIN_COLS, - MIN_LINES, WindowTooSmallException, + select_stable_diffusion_config_file, + set_min_terminal_size, ) -from invokeai.app.services.config import InvokeAIAppConfig config = InvokeAIAppConfig.get_config() logger = InvokeAILogger.get_logger() diff --git a/invokeai/frontend/install/widgets.py b/invokeai/frontend/install/widgets.py index 9eefd93e09..06d5473fa3 100644 --- a/invokeai/frontend/install/widgets.py +++ b/invokeai/frontend/install/widgets.py @@ -5,16 +5,17 @@ import curses import math import os import platform -import pyperclip import struct import subprocess import sys -import npyscreen import textwrap -import npyscreen.wgmultiline as wgmultiline -from npyscreen import fmPopup -from shutil import get_terminal_size from curses import BUTTON2_CLICKED, BUTTON3_CLICKED +from shutil import get_terminal_size + +import npyscreen +import npyscreen.wgmultiline as wgmultiline +import pyperclip +from npyscreen import fmPopup # minimum size for UIs MIN_COLS = 150 diff --git a/invokeai/frontend/legacy_launch_invokeai.py b/invokeai/frontend/legacy_launch_invokeai.py index e1e7dc26ab..9e4cca7eac 100644 --- a/invokeai/frontend/legacy_launch_invokeai.py +++ b/invokeai/frontend/legacy_launch_invokeai.py @@ -1,5 +1,5 @@ -import sys import argparse +import sys def main(): diff --git a/invokeai/frontend/merge/merge_diffusers.py b/invokeai/frontend/merge/merge_diffusers.py index ada8eed644..8fa02cb49c 100644 --- a/invokeai/frontend/merge/merge_diffusers.py +++ b/invokeai/frontend/merge/merge_diffusers.py @@ -16,13 +16,8 @@ from npyscreen import widget import invokeai.backend.util.logging as logger from invokeai.app.services.config import InvokeAIAppConfig -from invokeai.backend.model_management import ( - ModelMerger, - ModelManager, - ModelType, - BaseModelType, -) -from invokeai.frontend.install.widgets import FloatTitleSlider, TextBox, SingleSelectColumns +from invokeai.backend.model_management import BaseModelType, ModelManager, ModelMerger, ModelType +from invokeai.frontend.install.widgets import FloatTitleSlider, SingleSelectColumns, TextBox config = InvokeAIAppConfig.get_config() diff --git a/invokeai/frontend/training/textual_inversion.py b/invokeai/frontend/training/textual_inversion.py index 12f4db8e7b..f3911f7e0e 100755 --- a/invokeai/frontend/training/textual_inversion.py +++ b/invokeai/frontend/training/textual_inversion.py @@ -21,8 +21,8 @@ from npyscreen import widget 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r=this;Object.entries(Pe(this,cs)).forEach(function([i,c]){t(i)&&n.setNode(i,c)}),Object.values(Pe(this,Ua)).forEach(function(i){n.hasNode(i.v)&&n.hasNode(i.w)&&n.setEdge(i,r.edge(i))});var o={};function s(i){var c=r.parent(i);return c===void 0||n.hasNode(c)?(o[i]=c,c):c in o?o[c]:s(c)}return Pe(this,Vo)&&n.nodes().forEach(i=>n.setParent(i,s(i))),n}setDefaultEdgeLabel(t){return as(this,nu,t),typeof t!="function"&&as(this,nu,()=>t),this}edgeCount(){return Pe(this,ou)}edges(){return Object.values(Pe(this,Ua))}setPath(t,n){var r=this,o=arguments;return t.reduce(function(s,i){return o.length>1?r.setEdge(s,i,n):r.setEdge(s,i),i}),this}setEdge(){var t,n,r,o,s=!1,i=arguments[0];typeof i=="object"&&i!==null&&"v"in i?(t=i.v,n=i.w,r=i.name,arguments.length===2&&(o=arguments[1],s=!0)):(t=i,n=arguments[1],r=arguments[3],arguments.length>2&&(o=arguments[2],s=!0)),t=""+t,n=""+n,r!==void 0&&(r=""+r);var c=Cd(Pe(this,Po),t,n,r);if(Pe(this,Ga).hasOwnProperty(c))return 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lu.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return so.create(this,this._def)}promise(){return pd.create(this,this._def)}or(t){return qh.create([this,t],this._def)}and(t){return Kh.create(this,t,this._def)}transform(t){return new fo({...Re(this._def),schema:this,typeName:Ee.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new Jh({...Re(this._def),innerType:this,defaultValue:n,typeName:Ee.ZodDefault})}brand(){return new eN({typeName:Ee.ZodBranded,type:this,...Re(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new wy({...Re(this._def),innerType:this,catchValue:n,typeName:Ee.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return rg.create(this,t)}readonly(){return Cy.create(this)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const bee=/^c[^\s-]{8,}$/i,See=/^[a-z][a-z0-9]*$/,wee=/[0-9A-HJKMNP-TV-Z]{26}/,xee=/^[0-9a-fA-F]{8}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{12}$/i,Cee=/^([A-Z0-9_+-]+\.?)*[A-Z0-9_+-]@([A-Z0-9][A-Z0-9\-]*\.)+[A-Z]{2,}$/i,Eee=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,Tee=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,Aee=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,kee=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function Pee(e,t){return!!((t==="v4"||!t)&&Tee.test(e)||(t==="v6"||!t)&&Aee.test(e))}class to extends Ie{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:te.invalid_string,...xe.errToObj(r)}),this.nonempty=t=>this.min(1,xe.errToObj(t)),this.trim=()=>new to({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new to({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new to({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==ue.string){const o=this._getOrReturnCtx(t);return fe(o,{code:te.invalid_type,expected:ue.string,received:o.parsedType}),ke}const r=new pr;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.lengtho.value&&(i=this._getOrReturnCtx(t,i),fe(i,{code:te.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...xe.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...xe.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...xe.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...xe.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...xe.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...xe.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...xe.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...xe.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value{var t;return new to({checks:[],typeName:Ee.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Re(e)})};function Oee(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class Ga extends Ie{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==ue.number){const o=this._getOrReturnCtx(t);return fe(o,{code:te.invalid_type,expected:ue.number,received:o.parsedType}),ke}let r;const i=new pr;for(const o of this._def.checks)o.kind==="int"?Ze.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),fe(r,{code:te.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.datao.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),fe(r,{code:te.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?Oee(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),fe(r,{code:te.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),fe(r,{code:te.not_finite,message:o.message}),i.dirty()):Ze.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,xe.toString(n))}gt(t,n){return this.setLimit("min",t,!1,xe.toString(n))}lte(t,n){return this.setLimit("max",t,!0,xe.toString(n))}lt(t,n){return this.setLimit("max",t,!1,xe.toString(n))}setLimit(t,n,r,i){return new Ga({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:xe.toString(i)}]})}_addCheck(t){return new Ga({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:xe.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:xe.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:xe.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:xe.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:xe.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:xe.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:xe.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:xe.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:xe.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.valuet.kind==="int"||t.kind==="multipleOf"&&Ze.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.valuenew Ga({checks:[],typeName:Ee.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...Re(e)});class Ha extends Ie{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==ue.bigint){const o=this._getOrReturnCtx(t);return fe(o,{code:te.invalid_type,expected:ue.bigint,received:o.parsedType}),ke}let r;const i=new pr;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.datao.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),fe(r,{code:te.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),fe(r,{code:te.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):Ze.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,xe.toString(n))}gt(t,n){return this.setLimit("min",t,!1,xe.toString(n))}lte(t,n){return this.setLimit("max",t,!0,xe.toString(n))}lt(t,n){return this.setLimit("max",t,!1,xe.toString(n))}setLimit(t,n,r,i){return new Ha({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:xe.toString(i)}]})}_addCheck(t){return new Ha({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:xe.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:xe.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:xe.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:xe.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:xe.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value{var t;return new Ha({checks:[],typeName:Ee.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Re(e)})};class Gh extends Ie{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==ue.boolean){const r=this._getOrReturnCtx(t);return fe(r,{code:te.invalid_type,expected:ue.boolean,received:r.parsedType}),ke}return kr(t.data)}}Gh.create=e=>new Gh({typeName:Ee.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...Re(e)});class su extends Ie{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==ue.date){const o=this._getOrReturnCtx(t);return fe(o,{code:te.invalid_type,expected:ue.date,received:o.parsedType}),ke}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return fe(o,{code:te.invalid_date}),ke}const r=new pr;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()o.value&&(i=this._getOrReturnCtx(t,i),fe(i,{code:te.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):Ze.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new su({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:xe.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:xe.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.valuenew su({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:Ee.ZodDate,...Re(e)});class _y extends Ie{_parse(t){if(this._getType(t)!==ue.symbol){const r=this._getOrReturnCtx(t);return fe(r,{code:te.invalid_type,expected:ue.symbol,received:r.parsedType}),ke}return kr(t.data)}}_y.create=e=>new _y({typeName:Ee.ZodSymbol,...Re(e)});class Hh extends Ie{_parse(t){if(this._getType(t)!==ue.undefined){const r=this._getOrReturnCtx(t);return fe(r,{code:te.invalid_type,expected:ue.undefined,received:r.parsedType}),ke}return kr(t.data)}}Hh.create=e=>new Hh({typeName:Ee.ZodUndefined,...Re(e)});class Wh extends Ie{_parse(t){if(this._getType(t)!==ue.null){const r=this._getOrReturnCtx(t);return fe(r,{code:te.invalid_type,expected:ue.null,received:r.parsedType}),ke}return kr(t.data)}}Wh.create=e=>new Wh({typeName:Ee.ZodNull,...Re(e)});class hd extends Ie{constructor(){super(...arguments),this._any=!0}_parse(t){return kr(t.data)}}hd.create=e=>new hd({typeName:Ee.ZodAny,...Re(e)});class Yl extends Ie{constructor(){super(...arguments),this._unknown=!0}_parse(t){return kr(t.data)}}Yl.create=e=>new Yl({typeName:Ee.ZodUnknown,...Re(e)});class $s extends Ie{_parse(t){const n=this._getOrReturnCtx(t);return fe(n,{code:te.invalid_type,expected:ue.never,received:n.parsedType}),ke}}$s.create=e=>new $s({typeName:Ee.ZodNever,...Re(e)});class by extends Ie{_parse(t){if(this._getType(t)!==ue.undefined){const r=this._getOrReturnCtx(t);return fe(r,{code:te.invalid_type,expected:ue.void,received:r.parsedType}),ke}return kr(t.data)}}by.create=e=>new by({typeName:Ee.ZodVoid,...Re(e)});class so extends Ie{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==ue.array)return fe(n,{code:te.invalid_type,expected:ue.array,received:n.parsedType}),ke;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.lengthi.maxLength.value&&(fe(n,{code:te.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new Wo(n,s,n.path,a)))).then(s=>pr.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new Wo(n,s,n.path,a)));return pr.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new so({...this._def,minLength:{value:t,message:xe.toString(n)}})}max(t,n){return new so({...this._def,maxLength:{value:t,message:xe.toString(n)}})}length(t,n){return new so({...this._def,exactLength:{value:t,message:xe.toString(n)}})}nonempty(t){return this.min(1,t)}}so.create=(e,t)=>new so({type:e,minLength:null,maxLength:null,exactLength:null,typeName:Ee.ZodArray,...Re(t)});function sc(e){if(e instanceof Vt){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=Ts.create(sc(r))}return new Vt({...e._def,shape:()=>t})}else return e instanceof so?new so({...e._def,type:sc(e.element)}):e instanceof Ts?Ts.create(sc(e.unwrap())):e instanceof lu?lu.create(sc(e.unwrap())):e instanceof qo?qo.create(e.items.map(t=>sc(t))):e}class Vt extends Ie{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=Ze.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==ue.object){const u=this._getOrReturnCtx(t);return fe(u,{code:te.invalid_type,expected:ue.object,received:u.parsedType}),ke}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof $s&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const c=o[u],d=i.data[u];l.push({key:{status:"valid",value:u},value:c._parse(new Wo(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof $s){const u=this._def.unknownKeys;if(u==="passthrough")for(const c of a)l.push({key:{status:"valid",value:c},value:{status:"valid",value:i.data[c]}});else if(u==="strict")a.length>0&&(fe(i,{code:te.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const c of a){const d=i.data[c];l.push({key:{status:"valid",value:c},value:u._parse(new Wo(i,d,i.path,c)),alwaysSet:c in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const c of l){const d=await c.key;u.push({key:d,value:await c.value,alwaysSet:c.alwaysSet})}return u}).then(u=>pr.mergeObjectSync(r,u)):pr.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return xe.errToObj,new Vt({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=xe.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new Vt({...this._def,unknownKeys:"strip"})}passthrough(){return new Vt({...this._def,unknownKeys:"passthrough"})}extend(t){return new Vt({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new Vt({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:Ee.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new Vt({...this._def,catchall:t})}pick(t){const n={};return Ze.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new Vt({...this._def,shape:()=>n})}omit(t){const n={};return Ze.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new Vt({...this._def,shape:()=>n})}deepPartial(){return sc(this)}partial(t){const n={};return Ze.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new Vt({...this._def,shape:()=>n})}required(t){const n={};return Ze.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof Ts;)o=o._def.innerType;n[r]=o}}),new Vt({...this._def,shape:()=>n})}keyof(){return J7(Ze.objectKeys(this.shape))}}Vt.create=(e,t)=>new Vt({shape:()=>e,unknownKeys:"strip",catchall:$s.create(),typeName:Ee.ZodObject,...Re(t)});Vt.strictCreate=(e,t)=>new Vt({shape:()=>e,unknownKeys:"strict",catchall:$s.create(),typeName:Ee.ZodObject,...Re(t)});Vt.lazycreate=(e,t)=>new Vt({shape:e,unknownKeys:"strip",catchall:$s.create(),typeName:Ee.ZodObject,...Re(t)});class qh extends Ie{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new oo(a.ctx.common.issues));return fe(n,{code:te.invalid_union,unionErrors:s}),ke}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},c=l._parseSync({data:n.data,path:n.path,parent:u});if(c.status==="valid")return c;c.status==="dirty"&&!o&&(o={result:c,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new oo(l));return fe(n,{code:te.invalid_union,unionErrors:a}),ke}}get options(){return this._def.options}}qh.create=(e,t)=>new qh({options:e,typeName:Ee.ZodUnion,...Re(t)});const f0=e=>e instanceof Yh?f0(e.schema):e instanceof fo?f0(e.innerType()):e instanceof Zh?[e.value]:e instanceof Wa?e.options:e instanceof Qh?Object.keys(e.enum):e instanceof Jh?f0(e._def.innerType):e instanceof Hh?[void 0]:e instanceof Wh?[null]:null;class c1 extends Ie{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ue.object)return fe(n,{code:te.invalid_type,expected:ue.object,received:n.parsedType}),ke;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(fe(n,{code:te.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),ke)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=f0(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new c1({typeName:Ee.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...Re(r)})}}function fx(e,t){const n=fa(e),r=fa(t);if(e===t)return{valid:!0,data:e};if(n===ue.object&&r===ue.object){const i=Ze.objectKeys(t),o=Ze.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=fx(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===ue.array&&r===ue.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o{if(cx(o)||cx(s))return ke;const a=fx(o.value,s.value);return a.valid?((dx(o)||dx(s))&&n.dirty(),{status:n.value,value:a.data}):(fe(r,{code:te.invalid_intersection_types}),ke)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}Kh.create=(e,t,n)=>new Kh({left:e,right:t,typeName:Ee.ZodIntersection,...Re(n)});class qo extends Ie{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ue.array)return fe(r,{code:te.invalid_type,expected:ue.array,received:r.parsedType}),ke;if(r.data.lengththis._def.items.length&&(fe(r,{code:te.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new Wo(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>pr.mergeArray(n,s)):pr.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new qo({...this._def,rest:t})}}qo.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new qo({items:e,typeName:Ee.ZodTuple,rest:null,...Re(t)})};class Xh extends Ie{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ue.object)return fe(r,{code:te.invalid_type,expected:ue.object,received:r.parsedType}),ke;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new Wo(r,a,r.path,a)),value:s._parse(new Wo(r,r.data[a],r.path,a))});return r.common.async?pr.mergeObjectAsync(n,i):pr.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof Ie?new Xh({keyType:t,valueType:n,typeName:Ee.ZodRecord,...Re(r)}):new Xh({keyType:to.create(),valueType:t,typeName:Ee.ZodRecord,...Re(n)})}}class Sy extends Ie{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ue.map)return fe(r,{code:te.invalid_type,expected:ue.map,received:r.parsedType}),ke;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new Wo(r,a,r.path,[u,"key"])),value:o._parse(new Wo(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,c=await l.value;if(u.status==="aborted"||c.status==="aborted")return ke;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,c=l.value;if(u.status==="aborted"||c.status==="aborted")return ke;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}}}}Sy.create=(e,t,n)=>new Sy({valueType:t,keyType:e,typeName:Ee.ZodMap,...Re(n)});class au extends Ie{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ue.set)return fe(r,{code:te.invalid_type,expected:ue.set,received:r.parsedType}),ke;const i=this._def;i.minSize!==null&&r.data.sizei.maxSize.value&&(fe(r,{code:te.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const c of l){if(c.status==="aborted")return ke;c.status==="dirty"&&n.dirty(),u.add(c.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new Wo(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new au({...this._def,minSize:{value:t,message:xe.toString(n)}})}max(t,n){return new au({...this._def,maxSize:{value:t,message:xe.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}au.create=(e,t)=>new au({valueType:e,minSize:null,maxSize:null,typeName:Ee.ZodSet,...Re(t)});class Vc extends Ie{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ue.function)return fe(n,{code:te.invalid_type,expected:ue.function,received:n.parsedType}),ke;function r(a,l){return yy({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,my(),jh].filter(u=>!!u),issueData:{code:te.invalid_arguments,argumentsError:l}})}function i(a,l){return yy({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,my(),jh].filter(u=>!!u),issueData:{code:te.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;if(this._def.returns instanceof pd){const a=this;return kr(async function(...l){const u=new oo([]),c=await a._def.args.parseAsync(l,o).catch(h=>{throw u.addIssue(r(l,h)),u}),d=await Reflect.apply(s,this,c);return await a._def.returns._def.type.parseAsync(d,o).catch(h=>{throw u.addIssue(i(d,h)),u})})}else{const a=this;return kr(function(...l){const u=a._def.args.safeParse(l,o);if(!u.success)throw new oo([r(l,u.error)]);const c=Reflect.apply(s,this,u.data),d=a._def.returns.safeParse(c,o);if(!d.success)throw new oo([i(c,d.error)]);return d.data})}}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new Vc({...this._def,args:qo.create(t).rest(Yl.create())})}returns(t){return new Vc({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new Vc({args:t||qo.create([]).rest(Yl.create()),returns:n||Yl.create(),typeName:Ee.ZodFunction,...Re(r)})}}class Yh extends Ie{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}Yh.create=(e,t)=>new Yh({getter:e,typeName:Ee.ZodLazy,...Re(t)});class Zh extends Ie{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return fe(n,{received:n.data,code:te.invalid_literal,expected:this._def.value}),ke}return{status:"valid",value:t.data}}get value(){return this._def.value}}Zh.create=(e,t)=>new Zh({value:e,typeName:Ee.ZodLiteral,...Re(t)});function J7(e,t){return new Wa({values:e,typeName:Ee.ZodEnum,...Re(t)})}class Wa extends Ie{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return fe(n,{expected:Ze.joinValues(r),received:n.parsedType,code:te.invalid_type}),ke}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return fe(n,{received:n.data,code:te.invalid_enum_value,options:r}),ke}return kr(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return Wa.create(t)}exclude(t){return Wa.create(this.options.filter(n=>!t.includes(n)))}}Wa.create=J7;class Qh extends Ie{_parse(t){const n=Ze.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==ue.string&&r.parsedType!==ue.number){const i=Ze.objectValues(n);return fe(r,{expected:Ze.joinValues(i),received:r.parsedType,code:te.invalid_type}),ke}if(n.indexOf(t.data)===-1){const i=Ze.objectValues(n);return fe(r,{received:r.data,code:te.invalid_enum_value,options:i}),ke}return kr(t.data)}get enum(){return this._def.values}}Qh.create=(e,t)=>new Qh({values:e,typeName:Ee.ZodNativeEnum,...Re(t)});class pd extends Ie{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ue.promise&&n.common.async===!1)return fe(n,{code:te.invalid_type,expected:ue.promise,received:n.parsedType}),ke;const r=n.parsedType===ue.promise?n.data:Promise.resolve(n.data);return kr(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}pd.create=(e,t)=>new pd({type:e,typeName:Ee.ZodPromise,...Re(t)});class fo extends Ie{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===Ee.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null,o={addIssue:s=>{fe(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="preprocess"){const s=i.transform(r.data,o);return r.common.issues.length?{status:"dirty",value:r.data}:r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}if(i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?ke:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?ke:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!Vh(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>Vh(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);Ze.assertNever(i)}}fo.create=(e,t,n)=>new fo({schema:e,typeName:Ee.ZodEffects,effect:t,...Re(n)});fo.createWithPreprocess=(e,t,n)=>new fo({schema:t,effect:{type:"preprocess",transform:e},typeName:Ee.ZodEffects,...Re(n)});class Ts extends Ie{_parse(t){return this._getType(t)===ue.undefined?kr(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Ts.create=(e,t)=>new Ts({innerType:e,typeName:Ee.ZodOptional,...Re(t)});class lu extends Ie{_parse(t){return this._getType(t)===ue.null?kr(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}lu.create=(e,t)=>new lu({innerType:e,typeName:Ee.ZodNullable,...Re(t)});class Jh extends Ie{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===ue.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}Jh.create=(e,t)=>new Jh({innerType:e,typeName:Ee.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...Re(t)});class wy extends Ie{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return vy(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new oo(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new oo(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}wy.create=(e,t)=>new wy({innerType:e,typeName:Ee.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...Re(t)});class xy extends Ie{_parse(t){if(this._getType(t)!==ue.nan){const r=this._getOrReturnCtx(t);return fe(r,{code:te.invalid_type,expected:ue.nan,received:r.parsedType}),ke}return{status:"valid",value:t.data}}}xy.create=e=>new xy({typeName:Ee.ZodNaN,...Re(e)});const Ree=Symbol("zod_brand");class eN extends Ie{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class rg extends Ie{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?ke:o.status==="dirty"?(n.dirty(),Q7(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?ke:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new rg({in:t,out:n,typeName:Ee.ZodPipeline})}}class Cy extends Ie{_parse(t){const n=this._def.innerType._parse(t);return Vh(n)&&(n.value=Object.freeze(n.value)),n}}Cy.create=(e,t)=>new Cy({innerType:e,typeName:Ee.ZodReadonly,...Re(t)});const tN=(e,t={},n)=>e?hd.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):hd.create(),Iee={object:Vt.lazycreate};var Ee;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline",e.ZodReadonly="ZodReadonly"})(Ee||(Ee={}));const Mee=(e,t={message:`Input not instance of ${e.name}`})=>tN(n=>n instanceof e,t),nN=to.create,rN=Ga.create,Nee=xy.create,Dee=Ha.create,iN=Gh.create,Lee=su.create,$ee=_y.create,Fee=Hh.create,Bee=Wh.create,zee=hd.create,Uee=Yl.create,jee=$s.create,Vee=by.create,Gee=so.create,Hee=Vt.create,Wee=Vt.strictCreate,qee=qh.create,Kee=c1.create,Xee=Kh.create,Yee=qo.create,Zee=Xh.create,Qee=Sy.create,Jee=au.create,ete=Vc.create,tte=Yh.create,nte=Zh.create,rte=Wa.create,ite=Qh.create,ote=pd.create,Y6=fo.create,ste=Ts.create,ate=lu.create,lte=fo.createWithPreprocess,ute=rg.create,cte=()=>nN().optional(),dte=()=>rN().optional(),fte=()=>iN().optional(),hte={string:e=>to.create({...e,coerce:!0}),number:e=>Ga.create({...e,coerce:!0}),boolean:e=>Gh.create({...e,coerce:!0}),bigint:e=>Ha.create({...e,coerce:!0}),date:e=>su.create({...e,coerce:!0})},pte=ke;var j=Object.freeze({__proto__:null,defaultErrorMap:jh,setErrorMap:vee,getErrorMap:my,makeIssue:yy,EMPTY_PATH:_ee,addIssueToContext:fe,ParseStatus:pr,INVALID:ke,DIRTY:Q7,OK:kr,isAborted:cx,isDirty:dx,isValid:Vh,isAsync:vy,get util(){return Ze},get objectUtil(){return ux},ZodParsedType:ue,getParsedType:fa,ZodType:Ie,ZodString:to,ZodNumber:Ga,ZodBigInt:Ha,ZodBoolean:Gh,ZodDate:su,ZodSymbol:_y,ZodUndefined:Hh,ZodNull:Wh,ZodAny:hd,ZodUnknown:Yl,ZodNever:$s,ZodVoid:by,ZodArray:so,ZodObject:Vt,ZodUnion:qh,ZodDiscriminatedUnion:c1,ZodIntersection:Kh,ZodTuple:qo,ZodRecord:Xh,ZodMap:Sy,ZodSet:au,ZodFunction:Vc,ZodLazy:Yh,ZodLiteral:Zh,ZodEnum:Wa,ZodNativeEnum:Qh,ZodPromise:pd,ZodEffects:fo,ZodTransformer:fo,ZodOptional:Ts,ZodNullable:lu,ZodDefault:Jh,ZodCatch:wy,ZodNaN:xy,BRAND:Ree,ZodBranded:eN,ZodPipeline:rg,ZodReadonly:Cy,custom:tN,Schema:Ie,ZodSchema:Ie,late:Iee,get ZodFirstPartyTypeKind(){return Ee},coerce:hte,any:zee,array:Gee,bigint:Dee,boolean:iN,date:Lee,discriminatedUnion:Kee,effect:Y6,enum:rte,function:ete,instanceof:Mee,intersection:Xee,lazy:tte,literal:nte,map:Qee,nan:Nee,nativeEnum:ite,never:jee,null:Bee,nullable:ate,number:rN,object:Hee,oboolean:fte,onumber:dte,optional:ste,ostring:cte,pipeline:ute,preprocess:lte,promise:ote,record:Zee,set:Jee,strictObject:Wee,string:nN,symbol:$ee,transformer:Y6,tuple:Yee,undefined:Fee,union:qee,unknown:Uee,void:Vee,NEVER:pte,ZodIssueCode:te,quotelessJson:yee,ZodError:oo});const gte=j.string(),kAe=e=>gte.safeParse(e).success,mte=j.string(),PAe=e=>mte.safeParse(e).success,yte=j.string(),OAe=e=>yte.safeParse(e).success,vte=j.string(),RAe=e=>vte.safeParse(e).success,_te=j.number().int().min(1),IAe=e=>_te.safeParse(e).success,bte=j.number().min(1),MAe=e=>bte.safeParse(e).success,oN=j.enum(["euler","deis","ddim","ddpm","dpmpp_2s","dpmpp_2m","dpmpp_2m_sde","dpmpp_sde","heun","kdpm_2","lms","pndm","unipc","euler_k","dpmpp_2s_k","dpmpp_2m_k","dpmpp_2m_sde_k","dpmpp_sde_k","heun_k","lms_k","euler_a","kdpm_2_a"]),NAe=e=>oN.safeParse(e).success,DAe={euler:"Euler",deis:"DEIS",ddim:"DDIM",ddpm:"DDPM",dpmpp_sde:"DPM++ SDE",dpmpp_2s:"DPM++ 2S",dpmpp_2m:"DPM++ 2M",dpmpp_2m_sde:"DPM++ 2M SDE",heun:"Heun",kdpm_2:"KDPM 2",lms:"LMS",pndm:"PNDM",unipc:"UniPC",euler_k:"Euler Karras",dpmpp_sde_k:"DPM++ SDE Karras",dpmpp_2s_k:"DPM++ 2S Karras",dpmpp_2m_k:"DPM++ 2M Karras",dpmpp_2m_sde_k:"DPM++ 2M SDE Karras",heun_k:"Heun Karras",lms_k:"LMS Karras",euler_a:"Euler Ancestral",kdpm_2_a:"KDPM 2 Ancestral"},Ste=j.number().int().min(0).max(mee),LAe=e=>Ste.safeParse(e).success,wte=j.number().multipleOf(8).min(64),$Ae=e=>wte.safeParse(e).success,xte=j.number().multipleOf(8).min(64),FAe=e=>xte.safeParse(e).success,$d=j.enum(["sd-1","sd-2","sdxl","sdxl-refiner"]),p5=j.object({model_name:j.string().min(1),base_model:$d,model_type:j.literal("main")}),BAe=e=>p5.safeParse(e).success,g5=j.object({model_name:j.string().min(1),base_model:j.literal("sdxl-refiner"),model_type:j.literal("main")}),zAe=e=>g5.safeParse(e).success,Cte=j.object({model_name:j.string().min(1),base_model:$d,model_type:j.literal("onnx")}),Fd=j.union([p5,Cte]),Ete=j.object({model_name:j.string().min(1),base_model:$d}),UAe=j.object({model_name:j.string().min(1),base_model:$d}),jAe=j.object({model_name:j.string().min(1),base_model:$d}),Tte=j.number().min(0).max(1),VAe=e=>Tte.safeParse(e).success;j.enum(["fp16","fp32"]);const Ate=j.number().min(1).max(10),GAe=e=>Ate.safeParse(e).success,kte=j.number().min(1).max(10),HAe=e=>kte.safeParse(e).success,Pte=j.number().min(0).max(1),WAe=e=>Pte.safeParse(e).success;j.enum(["box","gaussian"]);const po={cfgScale:7.5,height:512,img2imgStrength:.75,infillMethod:"patchmatch",iterations:1,perlin:0,positivePrompt:"",negativePrompt:"",scheduler:"euler",maskBlur:16,maskBlurMethod:"box",canvasCoherenceSteps:20,canvasCoherenceStrength:.3,seed:0,seedWeights:"",shouldFitToWidthHeight:!0,shouldGenerateVariations:!1,shouldRandomizeSeed:!0,shouldUseNoiseSettings:!1,steps:50,threshold:0,tileSize:32,variationAmount:.1,width:512,shouldUseSymmetry:!1,horizontalSymmetrySteps:0,verticalSymmetrySteps:0,model:null,vae:null,vaePrecision:"fp32",seamlessXAxis:!1,seamlessYAxis:!1,clipSkip:0,shouldUseCpuNoise:!0,shouldShowAdvancedOptions:!1,aspectRatio:null,shouldLockAspectRatio:!1},Ote=po,sN=Ht({name:"generation",initialState:Ote,reducers:{setPositivePrompt:(e,t)=>{e.positivePrompt=t.payload},setNegativePrompt:(e,t)=>{e.negativePrompt=t.payload},setIterations:(e,t)=>{e.iterations=t.payload},setSteps:(e,t)=>{e.steps=t.payload},clampSymmetrySteps:e=>{e.horizontalSymmetrySteps=ya(e.horizontalSymmetrySteps,0,e.steps),e.verticalSymmetrySteps=ya(e.verticalSymmetrySteps,0,e.steps)},setCfgScale:(e,t)=>{e.cfgScale=t.payload},setThreshold:(e,t)=>{e.threshold=t.payload},setPerlin:(e,t)=>{e.perlin=t.payload},setHeight:(e,t)=>{e.height=t.payload},setWidth:(e,t)=>{e.width=t.payload},toggleSize:e=>{const[t,n]=[e.width,e.height];e.width=n,e.height=t},setScheduler:(e,t)=>{e.scheduler=t.payload},setSeed:(e,t)=>{e.seed=t.payload,e.shouldRandomizeSeed=!1},setImg2imgStrength:(e,t)=>{e.img2imgStrength=t.payload},setSeamlessXAxis:(e,t)=>{e.seamlessXAxis=t.payload},setSeamlessYAxis:(e,t)=>{e.seamlessYAxis=t.payload},setShouldFitToWidthHeight:(e,t)=>{e.shouldFitToWidthHeight=t.payload},resetSeed:e=>{e.seed=-1},setShouldGenerateVariations:(e,t)=>{e.shouldGenerateVariations=t.payload},setVariationAmount:(e,t)=>{e.variationAmount=t.payload},setSeedWeights:(e,t)=>{e.seedWeights=t.payload,e.shouldGenerateVariations=!0,e.variationAmount=0},resetParametersState:e=>({...e,...po}),setShouldRandomizeSeed:(e,t)=>{e.shouldRandomizeSeed=t.payload},clearInitialImage:e=>{e.initialImage=void 0},setMaskBlur:(e,t)=>{e.maskBlur=t.payload},setMaskBlurMethod:(e,t)=>{e.maskBlurMethod=t.payload},setCanvasCoherenceSteps:(e,t)=>{e.canvasCoherenceSteps=t.payload},setCanvasCoherenceStrength:(e,t)=>{e.canvasCoherenceStrength=t.payload},setTileSize:(e,t)=>{e.tileSize=t.payload},setInfillMethod:(e,t)=>{e.infillMethod=t.payload},setShouldUseSymmetry:(e,t)=>{e.shouldUseSymmetry=t.payload},setHorizontalSymmetrySteps:(e,t)=>{e.horizontalSymmetrySteps=t.payload},setVerticalSymmetrySteps:(e,t)=>{e.verticalSymmetrySteps=t.payload},setShouldUseNoiseSettings:(e,t)=>{e.shouldUseNoiseSettings=t.payload},initialImageChanged:(e,t)=>{const{image_name:n,width:r,height:i}=t.payload;e.initialImage={imageName:n,width:r,height:i}},modelChanged:(e,t)=>{if(e.model=t.payload,e.model===null)return;const{maxClip:n}=gee[e.model.base_model];e.clipSkip=ya(e.clipSkip,0,n)},vaeSelected:(e,t)=>{e.vae=t.payload},vaePrecisionChanged:(e,t)=>{e.vaePrecision=t.payload},setClipSkip:(e,t)=>{e.clipSkip=t.payload},shouldUseCpuNoiseChanged:(e,t)=>{e.shouldUseCpuNoise=t.payload},setShouldShowAdvancedOptions:(e,t)=>{e.shouldShowAdvancedOptions=t.payload,t.payload||(e.clipSkip=0)},setAspectRatio:(e,t)=>{const n=t.payload;e.aspectRatio=n,n&&(e.height=Po(e.width/n,8))},setShouldLockAspectRatio:(e,t)=>{e.shouldLockAspectRatio=t.payload}},extraReducers:e=>{e.addCase(hee,(t,n)=>{var i;const r=(i=n.payload.sd)==null?void 0:i.defaultModel;if(r&&!t.model){const[o,s,a]=r.split("/"),l=p5.safeParse({model_name:a,base_model:o,model_type:s});l.success&&(t.model=l.data)}}),e.addCase(Ite,(t,n)=>{n.payload||(t.clipSkip=0)})}}),{clampSymmetrySteps:qAe,clearInitialImage:m5,resetParametersState:KAe,resetSeed:XAe,setCfgScale:YAe,setWidth:Z6,setHeight:Q6,toggleSize:ZAe,setImg2imgStrength:QAe,setInfillMethod:Rte,setIterations:JAe,setPerlin:eke,setPositivePrompt:tke,setNegativePrompt:nke,setScheduler:rke,setMaskBlur:ike,setMaskBlurMethod:oke,setCanvasCoherenceSteps:ske,setCanvasCoherenceStrength:ake,setSeed:lke,setSeedWeights:uke,setShouldFitToWidthHeight:cke,setShouldGenerateVariations:dke,setShouldRandomizeSeed:fke,setSteps:hke,setThreshold:pke,setTileSize:gke,setVariationAmount:mke,setShouldUseSymmetry:yke,setHorizontalSymmetrySteps:vke,setVerticalSymmetrySteps:_ke,initialImageChanged:d1,modelChanged:va,vaeSelected:aN,setShouldUseNoiseSettings:bke,setSeamlessXAxis:Ske,setSeamlessYAxis:wke,setClipSkip:xke,shouldUseCpuNoiseChanged:Cke,setShouldShowAdvancedOptions:Ite,setAspectRatio:Mte,setShouldLockAspectRatio:Eke,vaePrecisionChanged:Tke}=sN.actions,Nte=sN.reducer;let br=[],ig=(e,t)=>{let n=[],r={get(){return r.lc||r.listen(()=>{})(),r.value},l:t||0,lc:0,listen(i,o){return r.lc=n.push(i,o||r.l)/2,()=>{let s=n.indexOf(i);~s&&(n.splice(s,2),r.lc--,r.lc||r.off())}},notify(i){let o=!br.length;for(let s=0;s(e.events=e.events||{},e.events[n+om]||(e.events[n+om]=r(i=>{e.events[n].reduceRight((o,s)=>(s(o),o),{shared:{},...i})})),e.events[n]=e.events[n]||[],e.events[n].push(t),()=>{let i=e.events[n],o=i.indexOf(t);i.splice(o,1),i.length||(delete e.events[n],e.events[n+om](),delete e.events[n+om])}),$te=1e3,Fte=(e,t)=>Lte(e,r=>{let i=t(r);i&&e.events[im].push(i)},Dte,r=>{let i=e.listen;e.listen=(...s)=>(!e.lc&&!e.active&&(e.active=!0,r()),i(...s));let o=e.off;return e.events[im]=[],e.off=()=>{o(),setTimeout(()=>{if(e.active&&!e.lc){e.active=!1;for(let s of e.events[im])s();e.events[im]=[]}},$te)},()=>{e.listen=i,e.off=o}}),Bte=(e,t)=>{Array.isArray(e)||(e=[e]);let n,r=()=>{let o=e.map(s=>s.get());(n===void 0||o.some((s,a)=>s!==n[a]))&&(n=o,i.set(t(...o)))},i=ig(void 0,Math.max(...e.map(o=>o.l))+1);return Fte(i,()=>{let o=e.map(s=>s.listen(r,i.l));return r(),()=>{for(let s of o)s()}}),i};const zte={"Content-Type":"application/json"},Ute=/\/*$/;function jte(e={}){const{fetch:t=globalThis.fetch,querySerializer:n,bodySerializer:r,...i}=e;async function o(s,a){const{headers:l,body:u,params:c={},parseAs:d="json",querySerializer:f=n??Vte,bodySerializer:h=r??Gte,...p}=a||{},m=Hte(s,{baseUrl:i.baseUrl,params:c,querySerializer:f}),b=Wte(zte,e==null?void 0:e.headers,l,c.header),_={redirect:"follow",...i,...p,headers:b};u&&(_.body=h(u)),_.body instanceof FormData&&b.delete("Content-Type");const y=await t(m,_);if(y.status===204||y.headers.get("Content-Length")==="0")return y.ok?{data:{},response:y}:{error:{},response:y};if(y.ok){let v=y.body;if(d!=="stream"){const S=y.clone();v=typeof S[d]=="function"?await S[d]():await S.text()}return{data:v,response:y}}let g={};try{g=await y.clone().json()}catch{g=await y.clone().text()}return{error:g,response:y}}return{async GET(s,a){return o(s,{...a,method:"GET"})},async PUT(s,a){return o(s,{...a,method:"PUT"})},async POST(s,a){return o(s,{...a,method:"POST"})},async DELETE(s,a){return o(s,{...a,method:"DELETE"})},async OPTIONS(s,a){return o(s,{...a,method:"OPTIONS"})},async HEAD(s,a){return o(s,{...a,method:"HEAD"})},async PATCH(s,a){return o(s,{...a,method:"PATCH"})},async TRACE(s,a){return o(s,{...a,method:"TRACE"})}}}function Vte(e){const t=new URLSearchParams;if(e&&typeof e=="object")for(const[n,r]of Object.entries(e))r!=null&&t.set(n,r);return t.toString()}function Gte(e){return JSON.stringify(e)}function Hte(e,t){let n=`${t.baseUrl?t.baseUrl.replace(Ute,""):""}${e}`;if(t.params.path)for(const[r,i]of Object.entries(t.params.path))n=n.replace(`{${r}}`,encodeURIComponent(String(i)));if(t.params.query){const r=t.querySerializer(t.params.query);r&&(n+=`?${r}`)}return n}function Wte(...e){const t=new Headers;for(const n of e){if(!n||typeof n!="object")continue;const r=n instanceof Headers?n.entries():Object.entries(n);for(const[i,o]of r)o===null?t.delete(i):o!==void 0&&t.set(i,o)}return t}const ep=ig(),tp=ig(),Ey=ig(),f1=Bte([ep,tp,Ey],(e,t,n)=>jte({headers:{...e?{Authorization:`Bearer ${e}`}:{},...n?{"project-id":n}:{}},baseUrl:`${t??""}`})),er=Va("api/sessionCreated",async(e,{rejectWithValue:t})=>{const{graph:n}=e,{POST:r}=f1.get(),{data:i,error:o,response:s}=await r("/api/v1/sessions/",{body:n});return o?t({arg:e,status:s.status,error:o}):i}),qte=e=>Ar(e)&&"status"in e,Kte=e=>Ar(e)&&"detail"in e,Bd=Va("api/sessionInvoked",async(e,{rejectWithValue:t})=>{const{session_id:n}=e,{PUT:r}=f1.get(),{error:i,response:o}=await r("/api/v1/sessions/{session_id}/invoke",{params:{query:{all:!0},path:{session_id:n}}});if(i){if(qte(i)&&i.status===403)return t({arg:e,status:o.status,error:i.body.detail});if(Kte(i)&&o.status===403)return t({arg:e,status:o.status,error:i.detail});if(i)return t({arg:e,status:o.status,error:i})}}),al=Va("api/sessionCanceled",async(e,{rejectWithValue:t})=>{const{session_id:n}=e,{DELETE:r}=f1.get(),{data:i,error:o}=await r("/api/v1/sessions/{session_id}/invoke",{params:{path:{session_id:n}}});return o?t({arg:e,error:o}):i});Va("api/listSessions",async(e,{rejectWithValue:t})=>{const{params:n}=e,{GET:r}=f1.get(),{data:i,error:o}=await r("/api/v1/sessions/",{params:n});return o?t({arg:e,error:o}):i});const lN=Ni(er.rejected,Bd.rejected),sm=(e,t,n,r,i,o,s)=>{const a=Math.floor(e/2-(n+i/2)*s),l=Math.floor(t/2-(r+o/2)*s);return{x:a,y:l}},am=(e,t,n,r,i=.95)=>{const o=e*i/n,s=t*i/r;return Math.min(1,Math.min(o,s))},Ake=.999,kke=.1,Pke=20,lm=.95,Oke=30,Rke=10,Xte=e=>({x:Math.floor(e.x),y:Math.floor(e.y)}),Gu=e=>{const{width:t,height:n}=e,r={width:t,height:n},i=512*512,o=t/n;let s=t*n,a=448;for(;s1?(r.width=a,r.height=Po(a/o,64)):o<1&&(r.height=a,r.width=Po(a*o,64)),s=r.width*r.height;return r},Yte=e=>({width:Po(e.width,64),height:Po(e.height,64)}),Ike=[{label:"Base",value:"base"},{label:"Mask",value:"mask"}],Mke=[{label:"None",value:"none"},{label:"Auto",value:"auto"},{label:"Manual",value:"manual"}],uN=e=>e.kind==="line"&&e.layer==="mask",Nke=e=>e.kind==="line"&&e.layer==="base",Zte=e=>e.kind==="image"&&e.layer==="base",Dke=e=>e.kind==="fillRect"&&e.layer==="base",Lke=e=>e.kind==="eraseRect"&&e.layer==="base",Qte=e=>e.kind==="line",ac={objects:[],stagingArea:{images:[],selectedImageIndex:-1}},cN={boundingBoxCoordinates:{x:0,y:0},boundingBoxDimensions:{width:512,height:512},boundingBoxPreviewFill:{r:0,g:0,b:0,a:.5},boundingBoxScaleMethod:"none",brushColor:{r:90,g:90,b:255,a:1},brushSize:50,colorPickerColor:{r:90,g:90,b:255,a:1},cursorPosition:null,futureLayerStates:[],isDrawing:!1,isMaskEnabled:!0,isMouseOverBoundingBox:!1,isMoveBoundingBoxKeyHeld:!1,isMoveStageKeyHeld:!1,isMovingBoundingBox:!1,isMovingStage:!1,isTransformingBoundingBox:!1,layer:"base",layerState:ac,maskColor:{r:255,g:90,b:90,a:1},maxHistory:128,minimumStageScale:1,pastLayerStates:[],scaledBoundingBoxDimensions:{width:512,height:512},shouldAntialias:!0,shouldAutoSave:!1,shouldCropToBoundingBoxOnSave:!1,shouldDarkenOutsideBoundingBox:!1,shouldLockBoundingBox:!1,shouldPreserveMaskedArea:!1,shouldRestrictStrokesToBox:!0,shouldShowBoundingBox:!0,shouldShowBrush:!0,shouldShowBrushPreview:!1,shouldShowCanvasDebugInfo:!1,shouldShowCheckboardTransparency:!1,shouldShowGrid:!0,shouldShowIntermediates:!0,shouldShowStagingImage:!0,shouldShowStagingOutline:!0,shouldSnapToGrid:!0,stageCoordinates:{x:0,y:0},stageDimensions:{width:0,height:0},stageScale:1,tool:"brush"},dN=Ht({name:"canvas",initialState:cN,reducers:{setTool:(e,t)=>{const n=t.payload;e.tool=t.payload,n!=="move"&&(e.isTransformingBoundingBox=!1,e.isMouseOverBoundingBox=!1,e.isMovingBoundingBox=!1,e.isMovingStage=!1)},setLayer:(e,t)=>{e.layer=t.payload},toggleTool:e=>{const t=e.tool;t!=="move"&&(e.tool=t==="brush"?"eraser":"brush")},setMaskColor:(e,t)=>{e.maskColor=t.payload},setBrushColor:(e,t)=>{e.brushColor=t.payload},setBrushSize:(e,t)=>{e.brushSize=t.payload},clearMask:e=>{e.pastLayerStates.push(Jt(e.layerState)),e.layerState.objects=e.layerState.objects.filter(t=>!uN(t)),e.futureLayerStates=[],e.shouldPreserveMaskedArea=!1},toggleShouldInvertMask:e=>{e.shouldPreserveMaskedArea=!e.shouldPreserveMaskedArea},toggleShouldShowMask:e=>{e.isMaskEnabled=!e.isMaskEnabled},setShouldPreserveMaskedArea:(e,t)=>{e.shouldPreserveMaskedArea=t.payload},setIsMaskEnabled:(e,t)=>{e.isMaskEnabled=t.payload,e.layer=t.payload?"mask":"base"},setShouldShowCheckboardTransparency:(e,t)=>{e.shouldShowCheckboardTransparency=t.payload},setShouldShowBrushPreview:(e,t)=>{e.shouldShowBrushPreview=t.payload},setShouldShowBrush:(e,t)=>{e.shouldShowBrush=t.payload},setCursorPosition:(e,t)=>{e.cursorPosition=t.payload},setInitialCanvasImage:(e,t)=>{const n=t.payload,{width:r,height:i}=n,{stageDimensions:o}=e,s={width:nm(ya(r,64,512),64),height:nm(ya(i,64,512),64)},a={x:Po(r/2-s.width/2,64),y:Po(i/2-s.height/2,64)};if(e.boundingBoxScaleMethod==="auto"){const c=Gu(s);e.scaledBoundingBoxDimensions=c}e.boundingBoxDimensions=s,e.boundingBoxCoordinates=a,e.pastLayerStates.push(Jt(e.layerState)),e.layerState={...ac,objects:[{kind:"image",layer:"base",x:0,y:0,width:r,height:i,imageName:n.image_name}]},e.futureLayerStates=[];const l=am(o.width,o.height,r,i,lm),u=sm(o.width,o.height,0,0,r,i,l);e.stageScale=l,e.stageCoordinates=u},setBoundingBoxDimensions:(e,t)=>{const n=Yte(t.payload);if(e.boundingBoxDimensions=n,e.boundingBoxScaleMethod==="auto"){const r=Gu(n);e.scaledBoundingBoxDimensions=r}},flipBoundingBoxAxes:e=>{const[t,n]=[e.boundingBoxDimensions.width,e.boundingBoxDimensions.height];e.boundingBoxDimensions={width:n,height:t}},setBoundingBoxCoordinates:(e,t)=>{e.boundingBoxCoordinates=Xte(t.payload)},setStageCoordinates:(e,t)=>{e.stageCoordinates=t.payload},setBoundingBoxPreviewFill:(e,t)=>{e.boundingBoxPreviewFill=t.payload},setStageScale:(e,t)=>{e.stageScale=t.payload},setShouldDarkenOutsideBoundingBox:(e,t)=>{e.shouldDarkenOutsideBoundingBox=t.payload},setIsDrawing:(e,t)=>{e.isDrawing=t.payload},clearCanvasHistory:e=>{e.pastLayerStates=[],e.futureLayerStates=[]},setShouldLockBoundingBox:(e,t)=>{e.shouldLockBoundingBox=t.payload},toggleShouldLockBoundingBox:e=>{e.shouldLockBoundingBox=!e.shouldLockBoundingBox},setShouldShowBoundingBox:(e,t)=>{e.shouldShowBoundingBox=t.payload},setIsTransformingBoundingBox:(e,t)=>{e.isTransformingBoundingBox=t.payload},setIsMovingBoundingBox:(e,t)=>{e.isMovingBoundingBox=t.payload},setIsMouseOverBoundingBox:(e,t)=>{e.isMouseOverBoundingBox=t.payload},setIsMoveBoundingBoxKeyHeld:(e,t)=>{e.isMoveBoundingBoxKeyHeld=t.payload},setIsMoveStageKeyHeld:(e,t)=>{e.isMoveStageKeyHeld=t.payload},canvasSessionIdChanged:(e,t)=>{e.layerState.stagingArea.sessionId=t.payload},stagingAreaInitialized:(e,t)=>{const{sessionId:n,boundingBox:r}=t.payload;e.layerState.stagingArea={boundingBox:r,sessionId:n,images:[],selectedImageIndex:-1}},addImageToStagingArea:(e,t)=>{const n=t.payload;!n||!e.layerState.stagingArea.boundingBox||(e.pastLayerStates.push(Jt(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift(),e.layerState.stagingArea.images.push({kind:"image",layer:"base",...e.layerState.stagingArea.boundingBox,imageName:n.image_name}),e.layerState.stagingArea.selectedImageIndex=e.layerState.stagingArea.images.length-1,e.futureLayerStates=[])},discardStagedImages:e=>{e.pastLayerStates.push(Jt(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift(),e.layerState.stagingArea={...ac.stagingArea},e.futureLayerStates=[],e.shouldShowStagingOutline=!0,e.shouldShowStagingOutline=!0},addFillRect:e=>{const{boundingBoxCoordinates:t,boundingBoxDimensions:n,brushColor:r}=e;e.pastLayerStates.push(Jt(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift(),e.layerState.objects.push({kind:"fillRect",layer:"base",...t,...n,color:r}),e.futureLayerStates=[]},addEraseRect:e=>{const{boundingBoxCoordinates:t,boundingBoxDimensions:n}=e;e.pastLayerStates.push(Jt(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift(),e.layerState.objects.push({kind:"eraseRect",layer:"base",...t,...n}),e.futureLayerStates=[]},addLine:(e,t)=>{const{tool:n,layer:r,brushColor:i,brushSize:o,shouldRestrictStrokesToBox:s}=e;if(n==="move"||n==="colorPicker")return;const a=o/2,l=r==="base"&&n==="brush"?{color:i}:{};e.pastLayerStates.push(Jt(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift();const u={kind:"line",layer:r,tool:n,strokeWidth:a,points:t.payload,...l};s&&(u.clip={...e.boundingBoxCoordinates,...e.boundingBoxDimensions}),e.layerState.objects.push(u),e.futureLayerStates=[]},addPointToCurrentLine:(e,t)=>{const n=e.layerState.objects.findLast(Qte);n&&n.points.push(...t.payload)},undo:e=>{const t=e.pastLayerStates.pop();t&&(e.futureLayerStates.unshift(Jt(e.layerState)),e.futureLayerStates.length>e.maxHistory&&e.futureLayerStates.pop(),e.layerState=t)},redo:e=>{const t=e.futureLayerStates.shift();t&&(e.pastLayerStates.push(Jt(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift(),e.layerState=t)},setShouldShowGrid:(e,t)=>{e.shouldShowGrid=t.payload},setIsMovingStage:(e,t)=>{e.isMovingStage=t.payload},setShouldSnapToGrid:(e,t)=>{e.shouldSnapToGrid=t.payload},setShouldAutoSave:(e,t)=>{e.shouldAutoSave=t.payload},setShouldShowIntermediates:(e,t)=>{e.shouldShowIntermediates=t.payload},resetCanvas:e=>{e.pastLayerStates.push(Jt(e.layerState)),e.layerState=ac,e.futureLayerStates=[]},canvasResized:(e,t)=>{const{width:n,height:r}=t.payload,i={width:Math.floor(n),height:Math.floor(r)};if(e.stageDimensions=i,!e.layerState.objects.find(Zte)){const o=am(i.width,i.height,512,512,lm),s=sm(i.width,i.height,0,0,512,512,o),a={width:512,height:512};if(e.stageScale=o,e.stageCoordinates=s,e.boundingBoxCoordinates={x:0,y:0},e.boundingBoxDimensions=a,e.boundingBoxScaleMethod==="auto"){const 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i,o,s=0;e.level>0?(e.strm.data_type===une&&(e.strm.data_type=wne(e)),px(e,e.l_desc),px(e,e.d_desc),s=bne(e),i=e.opt_len+3+7>>>3,o=e.static_len+3+7>>>3,o<=i&&(i=o)):i=o=n+5,n+4<=i&&t!==-1?kN(e,t,n,r):e.strategy===lne||o===i?(Br(e,(pN<<1)+(r?1:0),3),rA(e,ys,rh)):(Br(e,(dne<<1)+(r?1:0),3),Sne(e,e.l_desc.max_code+1,e.d_desc.max_code+1,s+1),rA(e,e.dyn_ltree,e.dyn_dtree)),TN(e),r&&AN(e)},Tne=(e,t,n)=>(e.pending_buf[e.sym_buf+e.sym_next++]=t,e.pending_buf[e.sym_buf+e.sym_next++]=t>>8,e.pending_buf[e.sym_buf+e.sym_next++]=n,t===0?e.dyn_ltree[n*2]++:(e.matches++,t--,e.dyn_ltree[(ip[n]+og+1)*2]++,e.dyn_dtree[xN(t)*2]++),e.sym_next===e.sym_end);var Ane=xne,kne=kN,Pne=Ene,One=Tne,Rne=Cne,Ine={_tr_init:Ane,_tr_stored_block:kne,_tr_flush_block:Pne,_tr_tally:One,_tr_align:Rne};const Mne=(e,t,n,r)=>{let i=e&65535|0,o=e>>>16&65535|0,s=0;for(;n!==0;){s=n>2e3?2e3:n,n-=s;do i=i+t[r++]|0,o=o+i|0;while(--s);i%=65521,o%=65521}return i|o<<16|0};var sp=Mne;const Nne=()=>{let e,t=[];for(var n=0;n<256;n++){e=n;for(var r=0;r<8;r++)e=e&1?3988292384^e>>>1:e>>>1;t[n]=e}return t},Dne=new Uint32Array(Nne()),Lne=(e,t,n,r)=>{const i=Dne,o=r+n;e^=-1;for(let s=r;s>>8^i[(e^t[s])&255];return e^-1};var Rn=Lne,gd={2:"need dictionary",1:"stream end",0:"","-1":"file error","-2":"stream error","-3":"data error","-4":"insufficient memory","-5":"buffer error","-6":"incompatible version"},sg={Z_NO_FLUSH:0,Z_PARTIAL_FLUSH:1,Z_SYNC_FLUSH:2,Z_FULL_FLUSH:3,Z_FINISH:4,Z_BLOCK:5,Z_TREES:6,Z_OK:0,Z_STREAM_END:1,Z_NEED_DICT:2,Z_ERRNO:-1,Z_STREAM_ERROR:-2,Z_DATA_ERROR:-3,Z_MEM_ERROR:-4,Z_BUF_ERROR:-5,Z_NO_COMPRESSION:0,Z_BEST_SPEED:1,Z_BEST_COMPRESSION:9,Z_DEFAULT_COMPRESSION:-1,Z_FILTERED:1,Z_HUFFMAN_ONLY:2,Z_RLE:3,Z_FIXED:4,Z_DEFAULT_STRATEGY:0,Z_BINARY:0,Z_TEXT:1,Z_UNKNOWN:2,Z_DEFLATED:8};const{_tr_init:$ne,_tr_stored_block:gx,_tr_flush_block:Fne,_tr_tally:Ia,_tr_align:Bne}=Ine,{Z_NO_FLUSH:Ma,Z_PARTIAL_FLUSH:zne,Z_FULL_FLUSH:Une,Z_FINISH:Ei,Z_BLOCK:aA,Z_OK:Xn,Z_STREAM_END:lA,Z_STREAM_ERROR:zo,Z_DATA_ERROR:jne,Z_BUF_ERROR:LS,Z_DEFAULT_COMPRESSION:Vne,Z_FILTERED:Gne,Z_HUFFMAN_ONLY:cm,Z_RLE:Hne,Z_FIXED:Wne,Z_DEFAULT_STRATEGY:qne,Z_UNKNOWN:Kne,Z_DEFLATED:h1}=sg,Xne=9,Yne=15,Zne=8,Qne=29,Jne=256,mx=Jne+1+Qne,ere=30,tre=19,nre=2*mx+1,rre=15,He=3,ba=258,Uo=ba+He+1,ire=32,md=42,w5=57,yx=69,vx=73,_x=91,bx=103,zl=113,$f=666,xr=1,Ud=2,uu=3,jd=4,ore=3,Ul=(e,t)=>(e.msg=gd[t],t),uA=e=>e*2-(e>4?9:0),ha=e=>{let t=e.length;for(;--t>=0;)e[t]=0},sre=e=>{let t,n,r,i=e.w_size;t=e.hash_size,r=t;do n=e.head[--r],e.head[r]=n>=i?n-i:0;while(--t);t=i,r=t;do n=e.prev[--r],e.prev[r]=n>=i?n-i:0;while(--t)};let are=(e,t,n)=>(t<{const t=e.state;let n=t.pending;n>e.avail_out&&(n=e.avail_out),n!==0&&(e.output.set(t.pending_buf.subarray(t.pending_out,t.pending_out+n),e.next_out),e.next_out+=n,t.pending_out+=n,e.total_out+=n,e.avail_out-=n,t.pending-=n,t.pending===0&&(t.pending_out=0))},ni=(e,t)=>{Fne(e,e.block_start>=0?e.block_start:-1,e.strstart-e.block_start,t),e.block_start=e.strstart,Yr(e.strm)},et=(e,t)=>{e.pending_buf[e.pending++]=t},gf=(e,t)=>{e.pending_buf[e.pending++]=t>>>8&255,e.pending_buf[e.pending++]=t&255},Sx=(e,t,n,r)=>{let i=e.avail_in;return i>r&&(i=r),i===0?0:(e.avail_in-=i,t.set(e.input.subarray(e.next_in,e.next_in+i),n),e.state.wrap===1?e.adler=sp(e.adler,t,i,n):e.state.wrap===2&&(e.adler=Rn(e.adler,t,i,n)),e.next_in+=i,e.total_in+=i,i)},PN=(e,t)=>{let n=e.max_chain_length,r=e.strstart,i,o,s=e.prev_length,a=e.nice_match;const l=e.strstart>e.w_size-Uo?e.strstart-(e.w_size-Uo):0,u=e.window,c=e.w_mask,d=e.prev,f=e.strstart+ba;let h=u[r+s-1],p=u[r+s];e.prev_length>=e.good_match&&(n>>=2),a>e.lookahead&&(a=e.lookahead);do if(i=t,!(u[i+s]!==p||u[i+s-1]!==h||u[i]!==u[r]||u[++i]!==u[r+1])){r+=2,i++;do;while(u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&rs){if(e.match_start=t,s=o,o>=a)break;h=u[r+s-1],p=u[r+s]}}while((t=d[t&c])>l&&--n!==0);return s<=e.lookahead?s:e.lookahead},yd=e=>{const t=e.w_size;let n,r,i;do{if(r=e.window_size-e.lookahead-e.strstart,e.strstart>=t+(t-Uo)&&(e.window.set(e.window.subarray(t,t+t-r),0),e.match_start-=t,e.strstart-=t,e.block_start-=t,e.insert>e.strstart&&(e.insert=e.strstart),sre(e),r+=t),e.strm.avail_in===0)break;if(n=Sx(e.strm,e.window,e.strstart+e.lookahead,r),e.lookahead+=n,e.lookahead+e.insert>=He)for(i=e.strstart-e.insert,e.ins_h=e.window[i],e.ins_h=Na(e,e.ins_h,e.window[i+1]);e.insert&&(e.ins_h=Na(e,e.ins_h,e.window[i+He-1]),e.prev[i&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=i,i++,e.insert--,!(e.lookahead+e.insert{let n=e.pending_buf_size-5>e.w_size?e.w_size:e.pending_buf_size-5,r,i,o,s=0,a=e.strm.avail_in;do{if(r=65535,o=e.bi_valid+42>>3,e.strm.avail_outi+e.strm.avail_in&&(r=i+e.strm.avail_in),r>o&&(r=o),r>8,e.pending_buf[e.pending-2]=~r,e.pending_buf[e.pending-1]=~r>>8,Yr(e.strm),i&&(i>r&&(i=r),e.strm.output.set(e.window.subarray(e.block_start,e.block_start+i),e.strm.next_out),e.strm.next_out+=i,e.strm.avail_out-=i,e.strm.total_out+=i,e.block_start+=i,r-=i),r&&(Sx(e.strm,e.strm.output,e.strm.next_out,r),e.strm.next_out+=r,e.strm.avail_out-=r,e.strm.total_out+=r)}while(s===0);return a-=e.strm.avail_in,a&&(a>=e.w_size?(e.matches=2,e.window.set(e.strm.input.subarray(e.strm.next_in-e.w_size,e.strm.next_in),0),e.strstart=e.w_size,e.insert=e.strstart):(e.window_size-e.strstart<=a&&(e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,e.insert>e.strstart&&(e.insert=e.strstart)),e.window.set(e.strm.input.subarray(e.strm.next_in-a,e.strm.next_in),e.strstart),e.strstart+=a,e.insert+=a>e.w_size-e.insert?e.w_size-e.insert:a),e.block_start=e.strstart),e.high_watero&&e.block_start>=e.w_size&&(e.block_start-=e.w_size,e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,o+=e.w_size,e.insert>e.strstart&&(e.insert=e.strstart)),o>e.strm.avail_in&&(o=e.strm.avail_in),o&&(Sx(e.strm,e.window,e.strstart,o),e.strstart+=o,e.insert+=o>e.w_size-e.insert?e.w_size-e.insert:o),e.high_water>3,o=e.pending_buf_size-o>65535?65535:e.pending_buf_size-o,n=o>e.w_size?e.w_size:o,i=e.strstart-e.block_start,(i>=n||(i||t===Ei)&&t!==Ma&&e.strm.avail_in===0&&i<=o)&&(r=i>o?o:i,s=t===Ei&&e.strm.avail_in===0&&r===i?1:0,gx(e,e.block_start,r,s),e.block_start+=r,Yr(e.strm)),s?uu:xr)},$S=(e,t)=>{let n,r;for(;;){if(e.lookahead=He&&(e.ins_h=Na(e,e.ins_h,e.window[e.strstart+He-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),n!==0&&e.strstart-n<=e.w_size-Uo&&(e.match_length=PN(e,n)),e.match_length>=He)if(r=Ia(e,e.strstart-e.match_start,e.match_length-He),e.lookahead-=e.match_length,e.match_length<=e.max_lazy_match&&e.lookahead>=He){e.match_length--;do e.strstart++,e.ins_h=Na(e,e.ins_h,e.window[e.strstart+He-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart;while(--e.match_length!==0);e.strstart++}else e.strstart+=e.match_length,e.match_length=0,e.ins_h=e.window[e.strstart],e.ins_h=Na(e,e.ins_h,e.window[e.strstart+1]);else r=Ia(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++;if(r&&(ni(e,!1),e.strm.avail_out===0))return xr}return e.insert=e.strstart{let n,r,i;for(;;){if(e.lookahead=He&&(e.ins_h=Na(e,e.ins_h,e.window[e.strstart+He-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),e.prev_length=e.match_length,e.prev_match=e.match_start,e.match_length=He-1,n!==0&&e.prev_length4096)&&(e.match_length=He-1)),e.prev_length>=He&&e.match_length<=e.prev_length){i=e.strstart+e.lookahead-He,r=Ia(e,e.strstart-1-e.prev_match,e.prev_length-He),e.lookahead-=e.prev_length-1,e.prev_length-=2;do++e.strstart<=i&&(e.ins_h=Na(e,e.ins_h,e.window[e.strstart+He-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart);while(--e.prev_length!==0);if(e.match_available=0,e.match_length=He-1,e.strstart++,r&&(ni(e,!1),e.strm.avail_out===0))return xr}else if(e.match_available){if(r=Ia(e,0,e.window[e.strstart-1]),r&&ni(e,!1),e.strstart++,e.lookahead--,e.strm.avail_out===0)return xr}else e.match_available=1,e.strstart++,e.lookahead--}return e.match_available&&(r=Ia(e,0,e.window[e.strstart-1]),e.match_available=0),e.insert=e.strstart{let n,r,i,o;const s=e.window;for(;;){if(e.lookahead<=ba){if(yd(e),e.lookahead<=ba&&t===Ma)return xr;if(e.lookahead===0)break}if(e.match_length=0,e.lookahead>=He&&e.strstart>0&&(i=e.strstart-1,r=s[i],r===s[++i]&&r===s[++i]&&r===s[++i])){o=e.strstart+ba;do;while(r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&ie.lookahead&&(e.match_length=e.lookahead)}if(e.match_length>=He?(n=Ia(e,1,e.match_length-He),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(n=Ia(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),n&&(ni(e,!1),e.strm.avail_out===0))return xr}return e.insert=0,t===Ei?(ni(e,!0),e.strm.avail_out===0?uu:jd):e.sym_next&&(ni(e,!1),e.strm.avail_out===0)?xr:Ud},ure=(e,t)=>{let n;for(;;){if(e.lookahead===0&&(yd(e),e.lookahead===0)){if(t===Ma)return xr;break}if(e.match_length=0,n=Ia(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,n&&(ni(e,!1),e.strm.avail_out===0))return xr}return e.insert=0,t===Ei?(ni(e,!0),e.strm.avail_out===0?uu:jd):e.sym_next&&(ni(e,!1),e.strm.avail_out===0)?xr:Ud};function bo(e,t,n,r,i){this.good_length=e,this.max_lazy=t,this.nice_length=n,this.max_chain=r,this.func=i}const Ff=[new bo(0,0,0,0,ON),new bo(4,4,8,4,$S),new bo(4,5,16,8,$S),new bo(4,6,32,32,$S),new bo(4,4,16,16,Hu),new bo(8,16,32,32,Hu),new bo(8,16,128,128,Hu),new bo(8,32,128,256,Hu),new bo(32,128,258,1024,Hu),new bo(32,258,258,4096,Hu)],cre=e=>{e.window_size=2*e.w_size,ha(e.head),e.max_lazy_match=Ff[e.level].max_lazy,e.good_match=Ff[e.level].good_length,e.nice_match=Ff[e.level].nice_length,e.max_chain_length=Ff[e.level].max_chain,e.strstart=0,e.block_start=0,e.lookahead=0,e.insert=0,e.match_length=e.prev_length=He-1,e.match_available=0,e.ins_h=0};function dre(){this.strm=null,this.status=0,this.pending_buf=null,this.pending_buf_size=0,this.pending_out=0,this.pending=0,this.wrap=0,this.gzhead=null,this.gzindex=0,this.method=h1,this.last_flush=-1,this.w_size=0,this.w_bits=0,this.w_mask=0,this.window=null,this.window_size=0,this.prev=null,this.head=null,this.ins_h=0,this.hash_size=0,this.hash_bits=0,this.hash_mask=0,this.hash_shift=0,this.block_start=0,this.match_length=0,this.prev_match=0,this.match_available=0,this.strstart=0,this.match_start=0,this.lookahead=0,this.prev_length=0,this.max_chain_length=0,this.max_lazy_match=0,this.level=0,this.strategy=0,this.good_match=0,this.nice_match=0,this.dyn_ltree=new Uint16Array(nre*2),this.dyn_dtree=new Uint16Array((2*ere+1)*2),this.bl_tree=new Uint16Array((2*tre+1)*2),ha(this.dyn_ltree),ha(this.dyn_dtree),ha(this.bl_tree),this.l_desc=null,this.d_desc=null,this.bl_desc=null,this.bl_count=new Uint16Array(rre+1),this.heap=new Uint16Array(2*mx+1),ha(this.heap),this.heap_len=0,this.heap_max=0,this.depth=new Uint16Array(2*mx+1),ha(this.depth),this.sym_buf=0,this.lit_bufsize=0,this.sym_next=0,this.sym_end=0,this.opt_len=0,this.static_len=0,this.matches=0,this.insert=0,this.bi_buf=0,this.bi_valid=0}const ag=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.status!==md&&t.status!==w5&&t.status!==yx&&t.status!==vx&&t.status!==_x&&t.status!==bx&&t.status!==zl&&t.status!==$f?1:0},RN=e=>{if(ag(e))return Ul(e,zo);e.total_in=e.total_out=0,e.data_type=Kne;const t=e.state;return t.pending=0,t.pending_out=0,t.wrap<0&&(t.wrap=-t.wrap),t.status=t.wrap===2?w5:t.wrap?md:zl,e.adler=t.wrap===2?0:1,t.last_flush=-2,$ne(t),Xn},IN=e=>{const t=RN(e);return t===Xn&&cre(e.state),t},fre=(e,t)=>ag(e)||e.state.wrap!==2?zo:(e.state.gzhead=t,Xn),MN=(e,t,n,r,i,o)=>{if(!e)return zo;let s=1;if(t===Vne&&(t=6),r<0?(s=0,r=-r):r>15&&(s=2,r-=16),i<1||i>Xne||n!==h1||r<8||r>15||t<0||t>9||o<0||o>Wne||r===8&&s!==1)return Ul(e,zo);r===8&&(r=9);const a=new dre;return e.state=a,a.strm=e,a.status=md,a.wrap=s,a.gzhead=null,a.w_bits=r,a.w_size=1<MN(e,t,h1,Yne,Zne,qne),pre=(e,t)=>{if(ag(e)||t>aA||t<0)return e?Ul(e,zo):zo;const n=e.state;if(!e.output||e.avail_in!==0&&!e.input||n.status===$f&&t!==Ei)return Ul(e,e.avail_out===0?LS:zo);const r=n.last_flush;if(n.last_flush=t,n.pending!==0){if(Yr(e),e.avail_out===0)return n.last_flush=-1,Xn}else if(e.avail_in===0&&uA(t)<=uA(r)&&t!==Ei)return Ul(e,LS);if(n.status===$f&&e.avail_in!==0)return Ul(e,LS);if(n.status===md&&n.wrap===0&&(n.status=zl),n.status===md){let i=h1+(n.w_bits-8<<4)<<8,o=-1;if(n.strategy>=cm||n.level<2?o=0:n.level<6?o=1:n.level===6?o=2:o=3,i|=o<<6,n.strstart!==0&&(i|=ire),i+=31-i%31,gf(n,i),n.strstart!==0&&(gf(n,e.adler>>>16),gf(n,e.adler&65535)),e.adler=1,n.status=zl,Yr(e),n.pending!==0)return n.last_flush=-1,Xn}if(n.status===w5){if(e.adler=0,et(n,31),et(n,139),et(n,8),n.gzhead)et(n,(n.gzhead.text?1:0)+(n.gzhead.hcrc?2:0)+(n.gzhead.extra?4:0)+(n.gzhead.name?8:0)+(n.gzhead.comment?16:0)),et(n,n.gzhead.time&255),et(n,n.gzhead.time>>8&255),et(n,n.gzhead.time>>16&255),et(n,n.gzhead.time>>24&255),et(n,n.level===9?2:n.strategy>=cm||n.level<2?4:0),et(n,n.gzhead.os&255),n.gzhead.extra&&n.gzhead.extra.length&&(et(n,n.gzhead.extra.length&255),et(n,n.gzhead.extra.length>>8&255)),n.gzhead.hcrc&&(e.adler=Rn(e.adler,n.pending_buf,n.pending,0)),n.gzindex=0,n.status=yx;else if(et(n,0),et(n,0),et(n,0),et(n,0),et(n,0),et(n,n.level===9?2:n.strategy>=cm||n.level<2?4:0),et(n,ore),n.status=zl,Yr(e),n.pending!==0)return n.last_flush=-1,Xn}if(n.status===yx){if(n.gzhead.extra){let i=n.pending,o=(n.gzhead.extra.length&65535)-n.gzindex;for(;n.pending+o>n.pending_buf_size;){let a=n.pending_buf_size-n.pending;if(n.pending_buf.set(n.gzhead.extra.subarray(n.gzindex,n.gzindex+a),n.pending),n.pending=n.pending_buf_size,n.gzhead.hcrc&&n.pending>i&&(e.adler=Rn(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex+=a,Yr(e),n.pending!==0)return n.last_flush=-1,Xn;i=0,o-=a}let s=new Uint8Array(n.gzhead.extra);n.pending_buf.set(s.subarray(n.gzindex,n.gzindex+o),n.pending),n.pending+=o,n.gzhead.hcrc&&n.pending>i&&(e.adler=Rn(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=vx}if(n.status===vx){if(n.gzhead.name){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=Rn(e.adler,n.pending_buf,n.pending-i,i)),Yr(e),n.pending!==0)return n.last_flush=-1,Xn;i=0}n.gzindexi&&(e.adler=Rn(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=_x}if(n.status===_x){if(n.gzhead.comment){let 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t!==Ei?Xn:n.wrap<=0?lA:(n.wrap===2?(et(n,e.adler&255),et(n,e.adler>>8&255),et(n,e.adler>>16&255),et(n,e.adler>>24&255),et(n,e.total_in&255),et(n,e.total_in>>8&255),et(n,e.total_in>>16&255),et(n,e.total_in>>24&255)):(gf(n,e.adler>>>16),gf(n,e.adler&65535)),Yr(e),n.wrap>0&&(n.wrap=-n.wrap),n.pending!==0?Xn:lA)},gre=e=>{if(ag(e))return zo;const t=e.state.status;return e.state=null,t===zl?Ul(e,jne):Xn},mre=(e,t)=>{let n=t.length;if(ag(e))return zo;const r=e.state,i=r.wrap;if(i===2||i===1&&r.status!==md||r.lookahead)return zo;if(i===1&&(e.adler=sp(e.adler,t,n,0)),r.wrap=0,n>=r.w_size){i===0&&(ha(r.head),r.strstart=0,r.block_start=0,r.insert=0);let l=new Uint8Array(r.w_size);l.set(t.subarray(n-r.w_size,n),0),t=l,n=r.w_size}const o=e.avail_in,s=e.next_in,a=e.input;for(e.avail_in=n,e.next_in=0,e.input=t,yd(r);r.lookahead>=He;){let l=r.strstart,u=r.lookahead-(He-1);do 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t.wsize=0,t.whave=0,t.wnext=0,VN(e)},HN=(e,t)=>{let n;if(Cu(e))return Mi;const r=e.state;return t<0?(n=0,t=-t):(n=(t>>4)+5,t<48&&(t&=15)),t&&(t<8||t>15)?Mi:(r.window!==null&&r.wbits!==t&&(r.window=null),r.wrap=n,r.wbits=t,GN(e))},WN=(e,t)=>{if(!e)return Mi;const n=new iie;e.state=n,n.strm=e,n.window=null,n.mode=g1;const r=HN(e,t);return r!==cu&&(e.state=null),r},oie=e=>WN(e,rie);let FA=!0,jS,VS;const sie=e=>{if(FA){jS=new Int32Array(512),VS=new Int32Array(32);let t=0;for(;t<144;)e.lens[t++]=8;for(;t<256;)e.lens[t++]=9;for(;t<280;)e.lens[t++]=7;for(;t<288;)e.lens[t++]=8;for(oh($N,e.lens,0,288,jS,0,e.work,{bits:9}),t=0;t<32;)e.lens[t++]=5;oh(FN,e.lens,0,32,VS,0,e.work,{bits:5}),FA=!1}e.lencode=jS,e.lenbits=9,e.distcode=VS,e.distbits=5},qN=(e,t,n,r)=>{let i;const o=e.state;return o.window===null&&(o.wsize=1<=o.wsize?(o.window.set(t.subarray(n-o.wsize,n),0),o.wnext=0,o.whave=o.wsize):(i=o.wsize-o.wnext,i>r&&(i=r),o.window.set(t.subarray(n-r,n-r+i),o.wnext),r-=i,r?(o.window.set(t.subarray(n-r,n),0),o.wnext=r,o.whave=o.wsize):(o.wnext+=i,o.wnext===o.wsize&&(o.wnext=0),o.whave{let n,r,i,o,s,a,l,u,c,d,f,h,p,m,b=0,_,y,g,v,S,w,C,x;const A=new Uint8Array(4);let T,P;const L=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]);if(Cu(e)||!e.output||!e.input&&e.avail_in!==0)return Mi;n=e.state,n.mode===is&&(n.mode=BS),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,d=a,f=l,x=cu;e:for(;;)switch(n.mode){case g1:if(n.wrap===0){n.mode=BS;break}for(;c<16;){if(a===0)break e;a--,u+=r[o++]<>>8&255,n.check=Rn(n.check,A,2,0),u=0,c=0,n.mode=mA;break}if(n.head&&(n.head.done=!1),!(n.wrap&1)||(((u&255)<<8)+(u>>8))%31){e.msg="incorrect header check",n.mode=Dt;break}if((u&15)!==gA){e.msg="unknown compression 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end-of-block",n.mode=Dt;break}if(n.lenbits=9,T={bits:n.lenbits},x=oh($N,n.lens,0,n.nlen,n.lencode,0,n.work,T),n.lenbits=T.bits,x){e.msg="invalid literal/lengths set",n.mode=Dt;break}if(n.distbits=6,n.distcode=n.distdyn,T={bits:n.distbits},x=oh(FN,n.lens,n.nlen,n.ndist,n.distcode,0,n.work,T),n.distbits=T.bits,x){e.msg="invalid distances set",n.mode=Dt;break}if(n.mode=hm,t===fm)break e;case hm:n.mode=pm;case pm:if(a>=6&&l>=258){e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,Vre(e,f),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,n.mode===is&&(n.back=-1);break}for(n.back=0;b=n.lencode[u&(1<>>24,y=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<>v)],_=b>>>24,y=b>>>16&255,g=b&65535,!(v+_<=c);){if(a===0)break e;a--,u+=r[o++]<>>=v,c-=v,n.back+=v}if(u>>>=_,c-=_,n.back+=_,n.length=g,y===0){n.mode=NA;break}if(y&32){n.back=-1,n.mode=is;break}if(y&64){e.msg="invalid literal/length 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e;i[s++]=n.length,l--,n.mode=pm;break;case US:if(n.wrap){for(;c<32;){if(a===0)break e;a--,u|=r[o++]<{if(Cu(e))return Mi;let t=e.state;return t.window&&(t.window=null),e.state=null,cu},uie=(e,t)=>{if(Cu(e))return Mi;const n=e.state;return n.wrap&2?(n.head=t,t.done=!1,cu):Mi},cie=(e,t)=>{const n=t.length;let r,i,o;return Cu(e)||(r=e.state,r.wrap!==0&&r.mode!==ky)?Mi:r.mode===ky&&(i=1,i=sp(i,t,n,0),i!==r.check)?BN:(o=qN(e,t,n,n),o?(r.mode=UN,zN):(r.havedict=1,cu))};var die=GN,fie=HN,hie=VN,pie=oie,gie=WN,mie=aie,yie=lie,vie=uie,_ie=cie,bie="pako inflate (from Nodeca project)",vs={inflateReset:die,inflateReset2:fie,inflateResetKeep:hie,inflateInit:pie,inflateInit2:gie,inflate:mie,inflateEnd:yie,inflateGetHeader:vie,inflateSetDictionary:_ie,inflateInfo:bie};function Sie(){this.text=0,this.time=0,this.xflags=0,this.os=0,this.extra=null,this.extra_len=0,this.name="",this.comment="",this.hcrc=0,this.done=!1}var wie=Sie;const KN=Object.prototype.toString,{Z_NO_FLUSH:xie,Z_FINISH:Cie,Z_OK:up,Z_STREAM_END:GS,Z_NEED_DICT:HS,Z_STREAM_ERROR:Eie,Z_DATA_ERROR:BA,Z_MEM_ERROR:Tie}=sg;function lg(e){this.options=p1.assign({chunkSize:1024*64,windowBits:15,to:""},e||{});const t=this.options;t.raw&&t.windowBits>=0&&t.windowBits<16&&(t.windowBits=-t.windowBits,t.windowBits===0&&(t.windowBits=-15)),t.windowBits>=0&&t.windowBits<16&&!(e&&e.windowBits)&&(t.windowBits+=32),t.windowBits>15&&t.windowBits<48&&(t.windowBits&15||(t.windowBits|=15)),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new DN,this.strm.avail_out=0;let n=vs.inflateInit2(this.strm,t.windowBits);if(n!==up)throw new Error(gd[n]);if(this.header=new wie,vs.inflateGetHeader(this.strm,this.header),t.dictionary&&(typeof t.dictionary=="string"?t.dictionary=lp.string2buf(t.dictionary):KN.call(t.dictionary)==="[object ArrayBuffer]"&&(t.dictionary=new Uint8Array(t.dictionary)),t.raw&&(n=vs.inflateSetDictionary(this.strm,t.dictionary),n!==up)))throw new Error(gd[n])}lg.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize,i=this.options.dictionary;let o,s,a;if(this.ended)return!1;for(t===~~t?s=t:s=t===!0?Cie:xie,KN.call(e)==="[object ArrayBuffer]"?n.input=new Uint8Array(e):n.input=e,n.next_in=0,n.avail_in=n.input.length;;){for(n.avail_out===0&&(n.output=new Uint8Array(r),n.next_out=0,n.avail_out=r),o=vs.inflate(n,s),o===HS&&i&&(o=vs.inflateSetDictionary(n,i),o===up?o=vs.inflate(n,s):o===BA&&(o=HS));n.avail_in>0&&o===GS&&n.state.wrap>0&&e[n.next_in]!==0;)vs.inflateReset(n),o=vs.inflate(n,s);switch(o){case Eie:case BA:case HS:case Tie:return this.onEnd(o),this.ended=!0,!1}if(a=n.avail_out,n.next_out&&(n.avail_out===0||o===GS))if(this.options.to==="string"){let l=lp.utf8border(n.output,n.next_out),u=n.next_out-l,c=lp.buf2string(n.output,l);n.next_out=u,n.avail_out=r-u,u&&n.output.set(n.output.subarray(l,l+u),0),this.onData(c)}else 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Lt;(function(e){e[e.GRAYSCALE=0]="GRAYSCALE",e[e.TRUE_COLOR=2]="TRUE_COLOR",e[e.PALETTE=3]="PALETTE",e[e.GRAYSCALE_WITH_ALPHA=4]="GRAYSCALE_WITH_ALPHA",e[e.TRUE_COLOR_WITH_ALPHA=6]="TRUE_COLOR_WITH_ALPHA"})(Lt||(Lt={}));const Lie={[Lt.GRAYSCALE]:1,[Lt.TRUE_COLOR]:3,[Lt.PALETTE]:1,[Lt.GRAYSCALE_WITH_ALPHA]:2,[Lt.TRUE_COLOR_WITH_ALPHA]:4},$ie=1;var Jr;(function(e){e[e.NONE=0]="NONE",e[e.SUB=1]="SUB",e[e.UP=2]="UP",e[e.AVERAGE=3]="AVERAGE",e[e.PAETH=4]="PAETH"})(Jr||(Jr={}));const Fie={[Jr.NONE](e){return e},[Jr.SUB](e,t){const n=new Uint8Array(e.length);for(let r=0;r>1;r[i]=e[i]+a}return r},[Jr.PAETH](e,t,n){const r=new Uint8Array(e.length);for(let i=0;i>7&1,i>>6&1,i>>5&1,i>>4&1,i>>3&1,i>>2&1,i>>1&1,i&1)}else if(t===2){const i=e[r++];n.push(i>>6&3,i>>4&3,i>>2&3,i&3)}else if(t===4){const i=e[r++];n.push(i>>4&15,i&15)}else if(t===8){const i=e[r++];n.push(i)}else if(t===16)n.push(e[r++]<<8|e[r++]);else throw new Error("Unsupported depth: "+t);return n}const QN=[{x:[0],y:[0]},{x:[4],y:[0]},{x:[0,4],y:[4]},{x:[2,6],y:[0,4]},{x:[0,2,4,6],y:[2,6]},{x:[1,3,5,7],y:[0,2,4,6]},{x:[0,1,2,3,4,5,6,7],y:[1,3,5,7]}];function zie(e,t,n){if(!e)return[{passWidth:t,passHeight:n,passIndex:0}];const r=[];return QN.forEach(function({x:i,y:o},s){const a=t%8,l=n%8,u=t-a>>3,c=n-l>>3;let d=u*i.length;for(let h=0;h>3||1;let p=0,m=new Uint8Array;for(let b=0;b>3)+$ie,w=u[p];if(!(w in Jr))throw new Error("Unsupported filter type: "+w);const C=Fie[w],x=C(u.slice(p+1,p+S),h,m);m=x;let A=0;const T=Bie(x,o);for(let L=0;L<_;L++){const R=P();a&&R[0]===a[0]&&R[1]===a[1]&&R[2]===a[2]&&(R[3]=0);const E=Uie(t,r,g,L,v);for(let k=0;k127)if(r>191&&r<224){if(t>=e.length)throw new Error("UTF-8 decode: incomplete 2-byte sequence");r=(r&31)<<6|e[t++]&63}else if(r>223&&r<240){if(t+1>=e.length)throw new Error("UTF-8 decode: incomplete 3-byte sequence");r=(r&15)<<12|(e[t++]&63)<<6|e[t++]&63}else if(r>239&&r<248){if(t+2>=e.length)throw new Error("UTF-8 decode: incomplete 4-byte 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D="";for(;iJN.safeParse(e).success||Wie.safeParse(e).success;j.enum(["connection","direct","any"]);const 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0?n.returnDetails:this.options.returnDetails,o=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator,{key:s,namespaces:a}=this.extractFromKey(t[t.length-1],n),l=a[a.length-1],u=n.lng||this.language,c=n.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if(u&&u.toLowerCase()==="cimode"){if(c){const v=n.nsSeparator||this.options.nsSeparator;return i?{res:`${l}${v}${s}`,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:`${l}${v}${s}`}return i?{res:s,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:s}const d=this.resolve(t,n);let f=d&&d.res;const h=d&&d.usedKey||s,p=d&&d.exactUsedKey||s,m=Object.prototype.toString.apply(f),b=["[object Number]","[object Function]","[object RegExp]"],_=n.joinArrays!==void 0?n.joinArrays:this.options.joinArrays,y=!this.i18nFormat||this.i18nFormat.handleAsObject;if(y&&f&&(typeof f!="string"&&typeof f!="boolean"&&typeof f!="number")&&b.indexOf(m)<0&&!(typeof _=="string"&&m==="[object Array]")){if(!n.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const v=this.options.returnedObjectHandler?this.options.returnedObjectHandler(h,f,{...n,ns:a}):`key '${s} (${this.language})' returned an object instead of string.`;return i?(d.res=v,d):v}if(o){const v=m==="[object Array]",S=v?[]:{},w=v?p:h;for(const C in f)if(Object.prototype.hasOwnProperty.call(f,C)){const x=`${w}${o}${C}`;S[C]=this.translate(x,{...n,joinArrays:!1,ns:a}),S[C]===x&&(S[C]=f[C])}f=S}}else if(y&&typeof _=="string"&&m==="[object Array]")f=f.join(_),f&&(f=this.extendTranslation(f,t,n,r));else{let v=!1,S=!1;const w=n.count!==void 0&&typeof n.count!="string",C=Jy.hasDefaultValue(n),x=w?this.pluralResolver.getSuffix(u,n.count,n):"",A=n.ordinal&&w?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",T=n[`defaultValue${x}`]||n[`defaultValue${A}`]||n.defaultValue;!this.isValidLookup(f)&&C&&(v=!0,f=T),this.isValidLookup(f)||(S=!0,f=s);const L=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&S?void 0:f,R=C&&T!==f&&this.options.updateMissing;if(S||v||R){if(this.logger.log(R?"updateKey":"missingKey",u,l,s,R?T:f),o){const $=this.resolve(s,{...n,keySeparator:!1});$&&$.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let E=[];const k=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&k&&k[0])for(let $=0;${const D=C&&O!==f?O:L;this.options.missingKeyHandler?this.options.missingKeyHandler($,l,M,D,R,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing($,l,M,D,R,n),this.emit("missingKey",$,l,M,f)};this.options.saveMissing&&(this.options.saveMissingPlurals&&w?E.forEach($=>{this.pluralResolver.getSuffixes($,n).forEach(M=>{N([$],s+M,n[`defaultValue${M}`]||T)})}):N(E,s,T))}f=this.extendTranslation(f,t,n,d,r),S&&f===s&&this.options.appendNamespaceToMissingKey&&(f=`${l}:${s}`),(S||v)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?f=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,v?f:void 0):f=this.options.parseMissingKeyHandler(f))}return i?(d.res=f,d):f}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let c;if(u){const f=t.match(this.interpolator.nestingRegexp);c=f&&f.length}let d=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(d={...this.options.interpolation.defaultVariables,...d}),t=this.interpolator.interpolate(t,d,r.lng||this.language,r),u){const f=t.match(this.interpolator.nestingRegexp),h=f&&f.length;c1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),c=u.key;i=c;let d=u.namespaces;this.options.fallbackNS&&(d=d.concat(this.options.fallbackNS));const f=n.count!==void 0&&typeof n.count!="string",h=f&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),p=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",m=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);d.forEach(b=>{this.isValidLookup(r)||(a=b,!h8[`${m[0]}-${b}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(h8[`${m[0]}-${b}`]=!0,this.logger.warn(`key "${i}" for languages "${m.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),m.forEach(_=>{if(this.isValidLookup(r))return;s=_;const y=[c];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(y,c,_,b,n);else{let v;f&&(v=this.pluralResolver.getSuffix(_,n.count,n));const S=`${this.options.pluralSeparator}zero`,w=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(f&&(y.push(c+v),n.ordinal&&v.indexOf(w)===0&&y.push(c+v.replace(w,this.options.pluralSeparator)),h&&y.push(c+S)),p){const C=`${c}${this.options.contextSeparator}${n.context}`;y.push(C),f&&(y.push(C+v),n.ordinal&&v.indexOf(w)===0&&y.push(C+v.replace(w,this.options.pluralSeparator)),h&&y.push(C+S))}}let g;for(;g=y.pop();)this.isValidLookup(r)||(o=g,r=this.getResource(_,b,g,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:s,usedNS:a}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function u2(e){return e.charAt(0).toUpperCase()+e.slice(1)}class p8{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=Do.create("languageUtils")}getScriptPartFromCode(t){if(t=Qy(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=Qy(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=u2(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=u2(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=u2(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let Khe=[{lngs:["ach","ak","am","arn","br","fil","gun","ln","mfe","mg","mi","oc","pt","pt-BR","tg","tl","ti","tr","uz","wa"],nr:[1,2],fc:1},{lngs:["af","an","ast","az","bg","bn","ca","da","de","dev","el","en","eo","es","et","eu","fi","fo","fur","fy","gl","gu","ha","hi","hu","hy","ia","it","kk","kn","ku","lb","mai","ml","mn","mr","nah","nap","nb","ne","nl","nn","no","nso","pa","pap","pms","ps","pt-PT","rm","sco","se","si","so","son","sq","sv","sw","ta","te","tk","ur","yo"],nr:[1,2],fc:2},{lngs:["ay","bo","cgg","fa","ht","id","ja","jbo","ka","km","ko","ky","lo","ms","sah","su","th","tt","ug","vi","wo","zh"],nr:[1],fc:3},{lngs:["be","bs","cnr","dz","hr","ru","sr","uk"],nr:[1,2,5],fc:4},{lngs:["ar"],nr:[0,1,2,3,11,100],fc:5},{lngs:["cs","sk"],nr:[1,2,5],fc:6},{lngs:["csb","pl"],nr:[1,2,5],fc:7},{lngs:["cy"],nr:[1,2,3,8],fc:8},{lngs:["fr"],nr:[1,2],fc:9},{lngs:["ga"],nr:[1,2,3,7,11],fc:10},{lngs:["gd"],nr:[1,2,3,20],fc:11},{lngs:["is"],nr:[1,2],fc:12},{lngs:["jv"],nr:[0,1],fc:13},{lngs:["kw"],nr:[1,2,3,4],fc:14},{lngs:["lt"],nr:[1,2,10],fc:15},{lngs:["lv"],nr:[1,2,0],fc:16},{lngs:["mk"],nr:[1,2],fc:17},{lngs:["mnk"],nr:[0,1,2],fc:18},{lngs:["mt"],nr:[1,2,11,20],fc:19},{lngs:["or"],nr:[2,1],fc:2},{lngs:["ro"],nr:[1,2,20],fc:20},{lngs:["sl"],nr:[5,1,2,3],fc:21},{lngs:["he","iw"],nr:[1,2,20,21],fc:22}],Xhe={1:function(e){return+(e>1)},2:function(e){return+(e!=1)},3:function(e){return 0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const Yhe=["v1","v2","v3"],Zhe=["v4"],g8={zero:0,one:1,two:2,few:3,many:4,other:5};function Qhe(){const e={};return Khe.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:Xhe[t.fc]}})}),e}class Jhe{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=Do.create("pluralResolver"),(!this.options.compatibilityJSON||Zhe.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. Will fallback to the compatibilityJSON v3 format handling.")),this.rules=Qhe()}addRule(t,n){this.rules[t]=n}getRule(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(this.shouldUseIntlApi())try{return new Intl.PluralRules(Qy(t),{type:n.ordinal?"ordinal":"cardinal"})}catch{return}return this.rules[t]||this.rules[this.languageUtils.getLanguagePartFromCode(t)]}needsPlural(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return this.shouldUseIntlApi()?r&&r.resolvedOptions().pluralCategories.length>1:r&&r.numbers.length>1}getPluralFormsOfKey(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};return this.getSuffixes(t,r).map(i=>`${n}${i}`)}getSuffixes(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>g8[i]-g8[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof i=="number"?`_plural_${i.toString()}`:o():this.options.compatibilityJSON==="v2"||this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1?o():this.options.prepend&&r.toString()?this.options.prepend+r.toString():r.toString()}shouldUseIntlApi(){return!Yhe.includes(this.options.compatibilityJSON)}}function m8(e,t,n){let r=arguments.length>3&&arguments[3]!==void 0?arguments[3]:".",i=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,o=Vhe(e,t,n);return!o&&i&&typeof n=="string"&&(o=Zy(e,n,r),o===void 0&&(o=Zy(t,n,r))),o}class epe{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Do.create("interpolator"),this.options=t,this.format=t.interpolation&&t.interpolation.format||(n=>n),this.init(t)}init(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};t.interpolation||(t.interpolation={escapeValue:!0});const n=t.interpolation;this.escape=n.escape!==void 0?n.escape:Hhe,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?Zu(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?Zu(n.suffix):n.suffixEscaped||"}}",this.formatSeparator=n.formatSeparator?n.formatSeparator:n.formatSeparator||",",this.unescapePrefix=n.unescapeSuffix?"":n.unescapePrefix||"-",this.unescapeSuffix=this.unescapePrefix?"":n.unescapeSuffix||"",this.nestingPrefix=n.nestingPrefix?Zu(n.nestingPrefix):n.nestingPrefixEscaped||Zu("$t("),this.nestingSuffix=n.nestingSuffix?Zu(n.nestingSuffix):n.nestingSuffixEscaped||Zu(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${this.prefix}(.+?)${this.suffix}`;this.regexp=new RegExp(t,"g");const n=`${this.prefix}${this.unescapePrefix}(.+?)${this.unescapeSuffix}${this.suffix}`;this.regexpUnescape=new RegExp(n,"g");const r=`${this.nestingPrefix}(.+?)${this.nestingSuffix}`;this.nestingRegexp=new RegExp(r,"g")}interpolate(t,n,r,i){let o,s,a;const l=this.options&&this.options.interpolation&&this.options.interpolation.defaultVariables||{};function u(p){return p.replace(/\$/g,"$$$$")}const c=p=>{if(p.indexOf(this.formatSeparator)<0){const y=m8(n,l,p,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(y,void 0,r,{...i,...n,interpolationkey:p}):y}const m=p.split(this.formatSeparator),b=m.shift().trim(),_=m.join(this.formatSeparator).trim();return this.format(m8(n,l,b,this.options.keySeparator,this.options.ignoreJSONStructure),_,r,{...i,...n,interpolationkey:b})};this.resetRegExp();const d=i&&i.missingInterpolationHandler||this.options.missingInterpolationHandler,f=i&&i.interpolation&&i.interpolation.skipOnVariables!==void 0?i.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables;return[{regex:this.regexpUnescape,safeValue:p=>u(p)},{regex:this.regexp,safeValue:p=>this.escapeValue?u(this.escape(p)):u(p)}].forEach(p=>{for(a=0;o=p.regex.exec(t);){const m=o[1].trim();if(s=c(m),s===void 0)if(typeof d=="function"){const _=d(t,o,i);s=typeof _=="string"?_:""}else if(i&&Object.prototype.hasOwnProperty.call(i,m))s="";else if(f){s=o[0];continue}else this.logger.warn(`missed to pass in variable ${m} for interpolating ${t}`),s="";else typeof s!="string"&&!this.useRawValueToEscape&&(s=c8(s));const b=p.safeValue(s);if(t=t.replace(o[0],b),f?(p.regex.lastIndex+=s.length,p.regex.lastIndex-=o[0].length):p.regex.lastIndex=0,a++,a>=this.maxReplaces)break}}),t}nest(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i,o,s;function a(l,u){const c=this.nestingOptionsSeparator;if(l.indexOf(c)<0)return l;const d=l.split(new RegExp(`${c}[ ]*{`));let f=`{${d[1]}`;l=d[0],f=this.interpolate(f,s);const h=f.match(/'/g),p=f.match(/"/g);(h&&h.length%2===0&&!p||p.length%2!==0)&&(f=f.replace(/'/g,'"'));try{s=JSON.parse(f),u&&(s={...u,...s})}catch(m){return this.logger.warn(`failed parsing options string in nesting for key ${l}`,m),`${l}${c}${f}`}return delete s.defaultValue,l}for(;i=this.nestingRegexp.exec(t);){let l=[];s={...r},s=s.replace&&typeof s.replace!="string"?s.replace:s,s.applyPostProcessor=!1,delete s.defaultValue;let u=!1;if(i[0].indexOf(this.formatSeparator)!==-1&&!/{.*}/.test(i[1])){const c=i[1].split(this.formatSeparator).map(d=>d.trim());i[1]=c.shift(),l=c,u=!0}if(o=n(a.call(this,i[1].trim(),s),s),o&&i[0]===t&&typeof o!="string")return o;typeof o!="string"&&(o=c8(o)),o||(this.logger.warn(`missed to resolve ${i[1]} for nesting ${t}`),o=""),u&&(o=l.reduce((c,d)=>this.format(c,d,r.lng,{...r,interpolationkey:i[1].trim()}),o.trim())),t=t.replace(i[0],o),this.regexp.lastIndex=0}return t}}function tpe(e){let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/g,"");n[a.trim()]||(n[a.trim()]=u),u==="false"&&(n[a.trim()]=!1),u==="true"&&(n[a.trim()]=!0),isNaN(u)||(n[a.trim()]=parseInt(u,10))})}return{formatName:t,formatOptions:n}}function Qu(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(Qy(i),o),t[s]=a),a(r)}}class npe{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Do.create("formatter"),this.options=t,this.formats={number:Qu((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:Qu((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return o=>i.format(o)}),datetime:Qu((n,r)=>{const i=new Intl.DateTimeFormat(n,{...r});return o=>i.format(o)}),relativetime:Qu((n,r)=>{const i=new Intl.RelativeTimeFormat(n,{...r});return o=>i.format(o,r.range||"day")}),list:Qu((n,r)=>{const i=new Intl.ListFormat(n,{...r});return o=>i.format(o)})},this.init(t)}init(t){const r=(arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}}).interpolation;this.formatSeparator=r.formatSeparator?r.formatSeparator:r.formatSeparator||","}add(t,n){this.formats[t.toLowerCase().trim()]=n}addCached(t,n){this.formats[t.toLowerCase().trim()]=Qu(n)}format(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return n.split(this.formatSeparator).reduce((a,l)=>{const{formatName:u,formatOptions:c}=tpe(l);if(this.formats[u]){let d=a;try{const f=i&&i.formatParams&&i.formatParams[i.interpolationkey]||{},h=f.locale||f.lng||i.locale||i.lng||r;d=this.formats[u](a,h,{...c,...i,...f})}catch(f){this.logger.warn(f)}return d}else this.logger.warn(`there was no format function for ${u}`);return a},t)}}function rpe(e,t){e.pending[t]!==void 0&&(delete e.pending[t],e.pendingCount--)}class ipe extends H1{constructor(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};super(),this.backend=t,this.store=n,this.services=r,this.languageUtils=r.languageUtils,this.options=i,this.logger=Do.create("backendConnector"),this.waitingReads=[],this.maxParallelReads=i.maxParallelReads||10,this.readingCalls=0,this.maxRetries=i.maxRetries>=0?i.maxRetries:5,this.retryTimeout=i.retryTimeout>=1?i.retryTimeout:350,this.state={},this.queue=[],this.backend&&this.backend.init&&this.backend.init(r,i.backend,i)}queueLoad(t,n,r,i){const o={},s={},a={},l={};return t.forEach(u=>{let c=!0;n.forEach(d=>{const f=`${u}|${d}`;!r.reload&&this.store.hasResourceBundle(u,d)?this.state[f]=2:this.state[f]<0||(this.state[f]===1?s[f]===void 0&&(s[f]=!0):(this.state[f]=1,c=!1,s[f]===void 0&&(s[f]=!0),o[f]===void 0&&(o[f]=!0),l[d]===void 0&&(l[d]=!0)))}),c||(a[u]=!0)}),(Object.keys(o).length||Object.keys(s).length)&&this.queue.push({pending:s,pendingCount:Object.keys(s).length,loaded:{},errors:[],callback:i}),{toLoad:Object.keys(o),pending:Object.keys(s),toLoadLanguages:Object.keys(a),toLoadNamespaces:Object.keys(l)}}loaded(t,n,r){const i=t.split("|"),o=i[0],s=i[1];n&&this.emit("failedLoading",o,s,n),r&&this.store.addResourceBundle(o,s,r),this.state[t]=n?-1:2;const a={};this.queue.forEach(l=>{jhe(l.loaded,[o],s),rpe(l,t),n&&l.errors.push(n),l.pendingCount===0&&!l.done&&(Object.keys(l.loaded).forEach(u=>{a[u]||(a[u]={});const c=l.loaded[u];c.length&&c.forEach(d=>{a[u][d]===void 0&&(a[u][d]=!0)})}),l.done=!0,l.errors.length?l.callback(l.errors):l.callback())}),this.emit("loaded",a),this.queue=this.queue.filter(l=>!l.done)}read(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:0,o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:this.retryTimeout,s=arguments.length>5?arguments[5]:void 0;if(!t.length)return s(null,{});if(this.readingCalls>=this.maxParallelReads){this.waitingReads.push({lng:t,ns:n,fcName:r,tried:i,wait:o,callback:s});return}this.readingCalls++;const a=(u,c)=>{if(this.readingCalls--,this.waitingReads.length>0){const d=this.waitingReads.shift();this.read(d.lng,d.ns,d.fcName,d.tried,d.wait,d.callback)}if(u&&c&&i{this.read.call(this,t,n,r,i+1,o*2,s)},o);return}s(u,c)},l=this.backend[r].bind(this.backend);if(l.length===2){try{const u=l(t,n);u&&typeof u.then=="function"?u.then(c=>a(null,c)).catch(a):a(null,u)}catch(u){a(u)}return}return l(t,n,a)}prepareLoading(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i=arguments.length>3?arguments[3]:void 0;if(!this.backend)return this.logger.warn("No backend was added via i18next.use. Will not load resources."),i&&i();typeof t=="string"&&(t=this.languageUtils.toResolveHierarchy(t)),typeof n=="string"&&(n=[n]);const o=this.queueLoad(t,n,r,i);if(!o.toLoad.length)return o.pending.length||i(),null;o.toLoad.forEach(s=>{this.loadOne(s)})}load(t,n,r){this.prepareLoading(t,n,{},r)}reload(t,n,r){this.prepareLoading(t,n,{reload:!0},r)}loadOne(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:"";const r=t.split("|"),i=r[0],o=r[1];this.read(i,o,"read",void 0,void 0,(s,a)=>{s&&this.logger.warn(`${n}loading namespace ${o} for language ${i} failed`,s),!s&&a&&this.logger.log(`${n}loaded namespace ${o} for language ${i}`,a),this.loaded(t,s,a)})}saveMissing(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{},a=arguments.length>6&&arguments[6]!==void 0?arguments[6]:()=>{};if(this.services.utils&&this.services.utils.hasLoadedNamespace&&!this.services.utils.hasLoadedNamespace(n)){this.logger.warn(`did not save key "${r}" as the namespace "${n}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(r==null||r==="")){if(this.backend&&this.backend.create){const l={...s,isUpdate:o},u=this.backend.create.bind(this.backend);if(u.length<6)try{let c;u.length===5?c=u(t,n,r,i,l):c=u(t,n,r,i),c&&typeof c.then=="function"?c.then(d=>a(null,d)).catch(a):a(null,c)}catch(c){a(c)}else u(t,n,r,i,a,l)}!t||!t[0]||this.store.addResource(t[0],n,r,i)}}}function y8(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function v8(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function Om(){}function ope(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class bp extends H1{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=v8(t),this.services={},this.logger=Do,this.modules={external:[]},ope(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=y8();this.options={...i,...this.options,...v8(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(c){return c?typeof c=="function"?new c:c:null}if(!this.options.isClone){this.modules.logger?Do.init(o(this.modules.logger),this.options):Do.init(null,this.options);let c;this.modules.formatter?c=this.modules.formatter:typeof Intl<"u"&&(c=npe);const d=new p8(this.options);this.store=new f8(this.options.resources,this.options);const f=this.services;f.logger=Do,f.resourceStore=this.store,f.languageUtils=d,f.pluralResolver=new Jhe(d,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),c&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(f.formatter=o(c),f.formatter.init(f,this.options),this.options.interpolation.format=f.formatter.format.bind(f.formatter)),f.interpolator=new epe(this.options),f.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},f.backendConnector=new ipe(o(this.modules.backend),f.resourceStore,f,this.options),f.backendConnector.on("*",function(h){for(var p=arguments.length,m=new Array(p>1?p-1:0),b=1;b1?p-1:0),b=1;b{h.init&&h.init(this)})}if(this.format=this.options.interpolation.format,r||(r=Om),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const c=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);c.length>0&&c[0]!=="dev"&&(this.options.lng=c[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is defined"),["getResource","hasResourceBundle","getResourceBundle","getDataByLanguage"].forEach(c=>{this[c]=function(){return t.store[c](...arguments)}}),["addResource","addResources","addResourceBundle","removeResourceBundle"].forEach(c=>{this[c]=function(){return t.store[c](...arguments),t}});const l=wf(),u=()=>{const c=(d,f)=>{this.isInitialized&&!this.initializedStoreOnce&&this.logger.warn("init: i18next is already initialized. 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Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return t.type==="backend"&&(this.modules.backend=t),(t.type==="logger"||t.log&&t.warn&&t.error)&&(this.modules.logger=t),t.type==="languageDetector"&&(this.modules.languageDetector=t),t.type==="i18nFormat"&&(this.modules.i18nFormat=t),t.type==="postProcessor"&&q$.addPostProcessor(t),t.type==="formatter"&&(this.modules.formatter=t),t.type==="3rdParty"&&this.modules.external.push(t),this}setResolvedLanguage(t){if(!(!t||!this.languages)&&!(["cimode","dev"].indexOf(t)>-1))for(let n=0;n-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=wf();this.emit("languageChanging",t);const o=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},s=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},a=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,c=>{s(c,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?a(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(a):this.services.languageDetector.detect(a):a(t),i}getFixedT(t,n,r){var i=this;const o=function(s,a){let l;if(typeof a!="object"){for(var u=arguments.length,c=new Array(u>2?u-2:0),d=2;d`${l.keyPrefix}${f}${p}`):h=l.keyPrefix?`${l.keyPrefix}${f}${s}`:s,i.t(h,l)};return typeof t=="string"?o.lng=t:o.lngs=t,o.ns=n,o.keyPrefix=r,o}t(){return this.translator&&this.translator.translate(...arguments)}exists(){return this.translator&&this.translator.exists(...arguments)}setDefaultNamespace(t){this.options.defaultNS=t}hasLoadedNamespace(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(!this.isInitialized)return this.logger.warn("hasLoadedNamespace: i18next was not initialized",this.languages),!1;if(!this.languages||!this.languages.length)return this.logger.warn("hasLoadedNamespace: i18n.languages were undefined or empty",this.languages),!1;const r=n.lng||this.resolvedLanguage||this.languages[0],i=this.options?this.options.fallbackLng:!1,o=this.languages[this.languages.length-1];if(r.toLowerCase()==="cimode")return!0;const s=(a,l)=>{const 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n=t.attrs.lineJoin;n&&this.setAttr("lineJoin",n)}setAttr(t,n){this._context[t]=n}arc(t,n,r,i,o,s){this._context.arc(t,n,r,i,o,s)}arcTo(t,n,r,i,o){this._context.arcTo(t,n,r,i,o)}beginPath(){this._context.beginPath()}bezierCurveTo(t,n,r,i,o,s){this._context.bezierCurveTo(t,n,r,i,o,s)}clearRect(t,n,r,i){this._context.clearRect(t,n,r,i)}clip(...t){this._context.clip.apply(this._context,t)}closePath(){this._context.closePath()}createImageData(t,n){var r=arguments;if(r.length===2)return this._context.createImageData(t,n);if(r.length===1)return this._context.createImageData(t)}createLinearGradient(t,n,r,i){return this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,s){return this._context.createRadialGradient(t,n,r,i,o,s)}drawImage(t,n,r,i,o,s,a,l,u){var c=arguments,d=this._context;c.length===3?d.drawImage(t,n,r):c.length===5?d.drawImage(t,n,r,i,o):c.length===9&&d.drawImage(t,n,r,i,o,s,a,l,u)}ellipse(t,n,r,i,o,s,a,l){this._context.ellipse(t,n,r,i,o,s,a,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return 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i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(c=>c.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(v_);Object.defineProperty(Ut,"__esModule",{value:!0});Ut.Node=void 0;const Be=Yt,bg=Ne,Im=ao,Cl=Le,yi=v_,ln=be;var w0="absoluteOpacity",Mm="allEventListeners",fs="absoluteTransform",V8="absoluteScale",El="canvas",dye="Change",fye="children",hye="konva",Yx="listening",G8="mouseenter",H8="mouseleave",W8="set",q8="Shape",x0=" ",K8="stage",na="transform",pye="Stage",Zx="visible",gye=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(x0);let mye=1;class Te{constructor(t){this._id=mye++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===na||t===fs)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===na||t===fs,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(x0);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(El)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===fs&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(El)){const{scene:t,filter:n,hit:r}=this._cache.get(El);Be.Util.releaseCanvas(t,n,r),this._cache.delete(El)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,c=n.drawBorder||!1,d=n.hitCanvasPixelRatio||1;if(!i||!o){Be.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var f=new Im.SceneCanvas({pixelRatio:s,width:i,height:o}),h=new Im.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),p=new Im.HitCanvas({pixelRatio:d,width:i,height:o}),m=f.getContext(),b=p.getContext();return p.isCache=!0,f.isCache=!0,this._cache.delete(El),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(f.getContext()._context.imageSmoothingEnabled=!1,h.getContext()._context.imageSmoothingEnabled=!1),m.save(),b.save(),m.translate(-a,-l),b.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(w0),this._clearSelfAndDescendantCache(V8),this.drawScene(f,this),this.drawHit(p,this),this._isUnderCache=!1,m.restore(),b.restore(),c&&(m.save(),m.beginPath(),m.rect(0,0,i,o),m.closePath(),m.setAttr("strokeStyle","red"),m.setAttr("lineWidth",5),m.stroke(),m.restore()),this._cache.set(El,{scene:f,filter:h,hit:p,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(El)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var c=l.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var c=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/c,r.getHeight()/c),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l{var n,r;if(!t)return this;for(n in t)n!==fye&&(r=W8+Be.Util._capitalize(n),Be.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(Yx,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(Zx,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;yi.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!Cl.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==pye&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(na),this._clearSelfAndDescendantCache(fs)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new Be.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(na);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(na),this._clearSelfAndDescendantCache(fs),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return Be.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return Be.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&Be.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(w0,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=Be.Util.isObject(i)&&!Be.Util._isPlainObject(i)&&!Be.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),Be.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i{try{const i=t==null?void 0:t.callback;i&&delete t.callback,Be.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():Cl.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o=0;if(r&&!this.isDragging()){var i=!1;yi.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=yi.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&yi.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return Be.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return Be.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=Te.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),Cl.Konva[r]||(Be.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=Cl.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=v2.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=v2.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const c=r===this;if(u){o.save();var d=this.getAbsoluteTransform(r),f=d.getMatrix();o.transform(f[0],f[1],f[2],f[3],f[4],f[5]),o.beginPath();let b;if(l)b=l.call(this,o,this);else{var h=this.clipX(),p=this.clipY();o.rect(h,p,s,a)}o.clip.apply(o,b),f=d.copy().invert().getMatrix(),o.transform(f[0],f[1],f[2],f[3],f[4],f[5])}var m=!c&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";m&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(b){b[t](n,r)}),m&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},c=this;(n=this.children)===null||n===void 0||n.forEach(function(m){if(m.visible()){var b=m.getClientRect({relativeTo:c,skipShadow:t.skipShadow,skipStroke:t.skipStroke});b.width===0&&b.height===0||(o===void 0?(o=b.x,s=b.y,a=b.x+b.width,l=b.y+b.height):(o=Math.min(o,b.x),s=Math.min(s,b.y),a=Math.max(a,b.x+b.width),l=Math.max(l,b.y+b.height)))}});for(var d=this.find("Shape"),f=!1,h=0;hZ.indexOf("pointer")>=0?"pointer":Z.indexOf("touch")>=0?"touch":"mouse",U=Z=>{const z=F(Z);if(z==="pointer")return i.Konva.pointerEventsEnabled&&D.pointer;if(z==="touch")return D.touch;if(z==="mouse")return D.mouse};function V(Z={}){return(Z.clipFunc||Z.clipWidth||Z.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),Z}const q="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class X extends r.Container{constructor(z){super(V(z)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{V(this.attrs)}),this._checkVisibility()}_validateAdd(z){const W=z.getType()==="Layer",Q=z.getType()==="FastLayer";W||Q||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const z=this.visible()?"":"none";this.content.style.display=z}setContainer(z){if(typeof z===c){if(z.charAt(0)==="."){var W=z.slice(1);z=document.getElementsByClassName(W)[0]}else{var Q;z.charAt(0)!=="#"?Q=z:Q=z.slice(1),z=document.getElementById(Q)}if(!z)throw"Can not find container in document with id "+Q}return this._setAttr("container",z),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),z.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var z=this.children,W=z.length,Q;for(Q=0;Q-1&&e.stages.splice(W,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const z=this._pointerPositions[0]||this._changedPointerPositions[0];return z?{x:z.x,y:z.y}:(t.Util.warn(q),null)}_getPointerById(z){return this._pointerPositions.find(W=>W.id===z)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(z){z=z||{},z.x=z.x||0,z.y=z.y||0,z.width=z.width||this.width(),z.height=z.height||this.height();var W=new o.SceneCanvas({width:z.width,height:z.height,pixelRatio:z.pixelRatio||1}),Q=W.getContext()._context,J=this.children;return(z.x||z.y)&&Q.translate(-1*z.x,-1*z.y),J.forEach(function(se){if(se.isVisible()){var oe=se._toKonvaCanvas(z);Q.drawImage(oe._canvas,z.x,z.y,oe.getWidth()/oe.getPixelRatio(),oe.getHeight()/oe.getPixelRatio())}}),W}getIntersection(z){if(!z)return null;var W=this.children,Q=W.length,J=Q-1,se;for(se=J;se>=0;se--){const oe=W[se].getIntersection(z);if(oe)return oe}return null}_resizeDOM(){var z=this.width(),W=this.height();this.content&&(this.content.style.width=z+d,this.content.style.height=W+d),this.bufferCanvas.setSize(z,W),this.bufferHitCanvas.setSize(z,W),this.children.forEach(Q=>{Q.setSize({width:z,height:W}),Q.draw()})}add(z,...W){if(arguments.length>1){for(var Q=0;QM&&t.Util.warn("The stage has "+J+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),z.setSize({width:this.width(),height:this.height()}),z.draw(),i.Konva.isBrowser&&this.content.appendChild(z.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(z){return l.hasPointerCapture(z,this)}setPointerCapture(z){l.setPointerCapture(z,this)}releaseCapture(z){l.releaseCapture(z,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&O.forEach(([z,W])=>{this.content.addEventListener(z,Q=>{this[W](Q)},{passive:!1})})}_pointerenter(z){this.setPointersPositions(z);const W=U(z.type);this._fire(W.pointerenter,{evt:z,target:this,currentTarget:this})}_pointerover(z){this.setPointersPositions(z);const W=U(z.type);this._fire(W.pointerover,{evt:z,target:this,currentTarget:this})}_getTargetShape(z){let W=this[z+"targetShape"];return W&&!W.getStage()&&(W=null),W}_pointerleave(z){const W=U(z.type),Q=F(z.type);if(W){this.setPointersPositions(z);var J=this._getTargetShape(Q),se=!s.DD.isDragging||i.Konva.hitOnDragEnabled;J&&se?(J._fireAndBubble(W.pointerout,{evt:z}),J._fireAndBubble(W.pointerleave,{evt:z}),this._fire(W.pointerleave,{evt:z,target:this,currentTarget:this}),this[Q+"targetShape"]=null):se&&(this._fire(W.pointerleave,{evt:z,target:this,currentTarget:this}),this._fire(W.pointerout,{evt:z,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(z){const W=U(z.type),Q=F(z.type);if(W){this.setPointersPositions(z);var J=!1;this._changedPointerPositions.forEach(se=>{var oe=this.getIntersection(se);if(s.DD.justDragged=!1,i.Konva["_"+Q+"ListenClick"]=!0,!(oe&&oe.isListening()))return;i.Konva.capturePointerEventsEnabled&&oe.setPointerCapture(se.id),this[Q+"ClickStartShape"]=oe,oe._fireAndBubble(W.pointerdown,{evt:z,pointerId:se.id}),J=!0;const Ae=z.type.indexOf("touch")>=0;oe.preventDefault()&&z.cancelable&&Ae&&z.preventDefault()}),J||this._fire(W.pointerdown,{evt:z,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(z){const W=U(z.type),Q=F(z.type);if(!W)return;s.DD.isDragging&&s.DD.node.preventDefault()&&z.cancelable&&z.preventDefault(),this.setPointersPositions(z);var J=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!J)return;var se={};let oe=!1;var Me=this._getTargetShape(Q);this._changedPointerPositions.forEach(Ae=>{const _e=l.getCapturedShape(Ae.id)||this.getIntersection(Ae),je=Ae.id,he={evt:z,pointerId:je};var It=Me!==_e;if(It&&Me&&(Me._fireAndBubble(W.pointerout,Object.assign({},he),_e),Me._fireAndBubble(W.pointerleave,Object.assign({},he),_e)),_e){if(se[_e._id])return;se[_e._id]=!0}_e&&_e.isListening()?(oe=!0,It&&(_e._fireAndBubble(W.pointerover,Object.assign({},he),Me),_e._fireAndBubble(W.pointerenter,Object.assign({},he),Me),this[Q+"targetShape"]=_e),_e._fireAndBubble(W.pointermove,Object.assign({},he))):Me&&(this._fire(W.pointerover,{evt:z,target:this,currentTarget:this,pointerId:je}),this[Q+"targetShape"]=null)}),oe||this._fire(W.pointermove,{evt:z,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(z){const W=U(z.type),Q=F(z.type);if(!W)return;this.setPointersPositions(z);const J=this[Q+"ClickStartShape"],se=this[Q+"ClickEndShape"];var oe={};let Me=!1;this._changedPointerPositions.forEach(Ae=>{const _e=l.getCapturedShape(Ae.id)||this.getIntersection(Ae);if(_e){if(_e.releaseCapture(Ae.id),oe[_e._id])return;oe[_e._id]=!0}const je=Ae.id,he={evt:z,pointerId:je};let It=!1;i.Konva["_"+Q+"InDblClickWindow"]?(It=!0,clearTimeout(this[Q+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+Q+"InDblClickWindow"]=!0,clearTimeout(this[Q+"DblTimeout"])),this[Q+"DblTimeout"]=setTimeout(function(){i.Konva["_"+Q+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),_e&&_e.isListening()?(Me=!0,this[Q+"ClickEndShape"]=_e,_e._fireAndBubble(W.pointerup,Object.assign({},he)),i.Konva["_"+Q+"ListenClick"]&&J&&J===_e&&(_e._fireAndBubble(W.pointerclick,Object.assign({},he)),It&&se&&se===_e&&_e._fireAndBubble(W.pointerdblclick,Object.assign({},he)))):(this[Q+"ClickEndShape"]=null,i.Konva["_"+Q+"ListenClick"]&&this._fire(W.pointerclick,{evt:z,target:this,currentTarget:this,pointerId:je}),It&&this._fire(W.pointerdblclick,{evt:z,target:this,currentTarget:this,pointerId:je}))}),Me||this._fire(W.pointerup,{evt:z,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+Q+"ListenClick"]=!1,z.cancelable&&Q!=="touch"&&z.preventDefault()}_contextmenu(z){this.setPointersPositions(z);var W=this.getIntersection(this.getPointerPosition());W&&W.isListening()?W._fireAndBubble(L,{evt:z}):this._fire(L,{evt:z,target:this,currentTarget:this})}_wheel(z){this.setPointersPositions(z);var W=this.getIntersection(this.getPointerPosition());W&&W.isListening()?W._fireAndBubble($,{evt:z}):this._fire($,{evt:z,target:this,currentTarget:this})}_pointercancel(z){this.setPointersPositions(z);const W=l.getCapturedShape(z.pointerId)||this.getIntersection(this.getPointerPosition());W&&W._fireAndBubble(S,l.createEvent(z)),l.releaseCapture(z.pointerId)}_lostpointercapture(z){l.releaseCapture(z.pointerId)}setPointersPositions(z){var W=this._getContentPosition(),Q=null,J=null;z=z||window.event,z.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(z.touches,se=>{this._pointerPositions.push({id:se.identifier,x:(se.clientX-W.left)/W.scaleX,y:(se.clientY-W.top)/W.scaleY})}),Array.prototype.forEach.call(z.changedTouches||z.touches,se=>{this._changedPointerPositions.push({id:se.identifier,x:(se.clientX-W.left)/W.scaleX,y:(se.clientY-W.top)/W.scaleY})})):(Q=(z.clientX-W.left)/W.scaleX,J=(z.clientY-W.top)/W.scaleY,this.pointerPos={x:Q,y:J},this._pointerPositions=[{x:Q,y:J,id:t.Util._getFirstPointerId(z)}],this._changedPointerPositions=[{x:Q,y:J,id:t.Util._getFirstPointerId(z)}])}_setPointerPosition(z){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(z)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var z=this.content.getBoundingClientRect();return{top:z.top,left:z.left,scaleX:z.width/this.content.clientWidth||1,scaleY:z.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var z=this.container();if(!z)throw"Stage has no container. A container is required.";z.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),z.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(z){z.batchDraw()}),this}}e.Stage=X,X.prototype.nodeType=u,(0,a._registerNode)(X),n.Factory.addGetterSetter(X,"container")})(GF);var Sg={},Cn={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=Le,n=Yt,r=Ne,i=Ut,o=be,s=Le,a=ei;var l="hasShadow",u="shadowRGBA",c="patternImage",d="linearGradient",f="radialGradient";let h;function p(){return h||(h=n.Util.createCanvasElement().getContext("2d"),h)}e.shapes={};function m(A){const T=this.attrs.fillRule;T?A.fill(T):A.fill()}function b(A){A.stroke()}function _(A){A.fill()}function y(A){A.stroke()}function g(){this._clearCache(l)}function v(){this._clearCache(u)}function S(){this._clearCache(c)}function w(){this._clearCache(d)}function C(){this._clearCache(f)}class x extends i.Node{constructor(T){super(T);let P;for(;P=n.Util.getRandomColor(),!(P&&!(P in e.shapes)););this.colorKey=P,e.shapes[P]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(c,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var T=p();const P=T.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(P&&P.setTransform){const L=new n.Transform;L.translate(this.fillPatternX(),this.fillPatternY()),L.rotate(t.Konva.getAngle(this.fillPatternRotation())),L.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),L.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const R=L.getMatrix(),E=typeof DOMMatrix>"u"?{a:R[0],b:R[1],c:R[2],d:R[3],e:R[4],f:R[5]}:new DOMMatrix(R);P.setTransform(E)}return P}}_getLinearGradient(){return this._getCache(d,this.__getLinearGradient)}__getLinearGradient(){var T=this.fillLinearGradientColorStops();if(T){for(var P=p(),L=this.fillLinearGradientStartPoint(),R=this.fillLinearGradientEndPoint(),E=P.createLinearGradient(L.x,L.y,R.x,R.y),k=0;kthis.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const T=this.hitStrokeWidth();return T==="auto"?this.hasStroke():this.strokeEnabled()&&!!T}intersects(T){var P=this.getStage(),L=P.bufferHitCanvas,R;return L.getContext().clear(),this.drawHit(L,null,!0),R=L.context.getImageData(Math.round(T.x),Math.round(T.y),1,1).data,R[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(T){var P;if(!this.getStage()||!((P=this.attrs.perfectDrawEnabled)!==null&&P!==void 0?P:!0))return!1;const R=T||this.hasFill(),E=this.hasStroke(),k=this.getAbsoluteOpacity()!==1;if(R&&E&&k)return!0;const N=this.hasShadow(),$=this.shadowForStrokeEnabled();return!!(R&&E&&N&&$)}setStrokeHitEnabled(T){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),T?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var T=this.size();return{x:this._centroid?-T.width/2:0,y:this._centroid?-T.height/2:0,width:T.width,height:T.height}}getClientRect(T={}){const P=T.skipTransform,L=T.relativeTo,R=this.getSelfRect(),k=!T.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,N=R.width+k,$=R.height+k,M=!T.skipShadow&&this.hasShadow(),O=M?this.shadowOffsetX():0,D=M?this.shadowOffsetY():0,F=N+Math.abs(O),U=$+Math.abs(D),V=M&&this.shadowBlur()||0,q=F+V*2,X=U+V*2,Z={width:q,height:X,x:-(k/2+V)+Math.min(O,0)+R.x,y:-(k/2+V)+Math.min(D,0)+R.y};return P?Z:this._transformedRect(Z,L)}drawScene(T,P){var L=this.getLayer(),R=T||L.getCanvas(),E=R.getContext(),k=this._getCanvasCache(),N=this.getSceneFunc(),$=this.hasShadow(),M,O,D,F=R.isCache,U=P===this;if(!this.isVisible()&&!U)return this;if(k){E.save();var V=this.getAbsoluteTransform(P).getMatrix();return E.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedSceneCanvas(E),E.restore(),this}if(!N)return this;if(E.save(),this._useBufferCanvas()&&!F){M=this.getStage(),O=M.bufferCanvas,D=O.getContext(),D.clear(),D.save(),D._applyLineJoin(this);var q=this.getAbsoluteTransform(P).getMatrix();D.transform(q[0],q[1],q[2],q[3],q[4],q[5]),N.call(this,D,this),D.restore();var X=O.pixelRatio;$&&E._applyShadow(this),E._applyOpacity(this),E._applyGlobalCompositeOperation(this),E.drawImage(O._canvas,0,0,O.width/X,O.height/X)}else{if(E._applyLineJoin(this),!U){var q=this.getAbsoluteTransform(P).getMatrix();E.transform(q[0],q[1],q[2],q[3],q[4],q[5]),E._applyOpacity(this),E._applyGlobalCompositeOperation(this)}$&&E._applyShadow(this),N.call(this,E,this)}return E.restore(),this}drawHit(T,P,L=!1){if(!this.shouldDrawHit(P,L))return this;var R=this.getLayer(),E=T||R.hitCanvas,k=E&&E.getContext(),N=this.hitFunc()||this.sceneFunc(),$=this._getCanvasCache(),M=$&&$.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),M){k.save();var O=this.getAbsoluteTransform(P).getMatrix();return k.transform(O[0],O[1],O[2],O[3],O[4],O[5]),this._drawCachedHitCanvas(k),k.restore(),this}if(!N)return this;if(k.save(),k._applyLineJoin(this),!(this===P)){var F=this.getAbsoluteTransform(P).getMatrix();k.transform(F[0],F[1],F[2],F[3],F[4],F[5])}return N.call(this,k,this),k.restore(),this}drawHitFromCache(T=0){var P=this._getCanvasCache(),L=this._getCachedSceneCanvas(),R=P.hit,E=R.getContext(),k=R.getWidth(),N=R.getHeight(),$,M,O,D,F,U;E.clear(),E.drawImage(L._canvas,0,0,k,N);try{for($=E.getImageData(0,0,k,N),M=$.data,O=M.length,D=n.Util._hexToRgb(this.colorKey),F=0;FT?(M[F]=D.r,M[F+1]=D.g,M[F+2]=D.b,M[F+3]=255):M[F+3]=0;E.putImageData($,0,0)}catch(V){n.Util.error("Unable to draw hit graph from cached scene canvas. "+V.message)}return this}hasPointerCapture(T){return a.hasPointerCapture(T,this)}setPointerCapture(T){a.setPointerCapture(T,this)}releaseCapture(T){a.releaseCapture(T,this)}}e.Shape=x,x.prototype._fillFunc=m,x.prototype._strokeFunc=b,x.prototype._fillFuncHit=_,x.prototype._strokeFuncHit=y,x.prototype._centroid=!1,x.prototype.nodeType="Shape",(0,s._registerNode)(x),x.prototype.eventListeners={},x.prototype.on.call(x.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",g),x.prototype.on.call(x.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",v),x.prototype.on.call(x.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",S),x.prototype.on.call(x.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",w),x.prototype.on.call(x.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",C),r.Factory.addGetterSetter(x,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(x,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(x,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(x,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(x,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(x,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(x,"lineJoin"),r.Factory.addGetterSetter(x,"lineCap"),r.Factory.addGetterSetter(x,"sceneFunc"),r.Factory.addGetterSetter(x,"hitFunc"),r.Factory.addGetterSetter(x,"dash"),r.Factory.addGetterSetter(x,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(x,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(x,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(x,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"fillPatternImage"),r.Factory.addGetterSetter(x,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(x,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(x,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(x,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(x,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(x,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(x,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(x,"fillEnabled",!0),r.Factory.addGetterSetter(x,"strokeEnabled",!0),r.Factory.addGetterSetter(x,"shadowEnabled",!0),r.Factory.addGetterSetter(x,"dashEnabled",!0),r.Factory.addGetterSetter(x,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(x,"fillPriority","color"),r.Factory.addComponentsGetterSetter(x,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(x,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(x,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(x,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(x,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(x,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(x,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(x,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(x,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(x,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(x,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(x,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(x,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(x,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(x,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(x,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(x,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(x,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(x,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(x,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(x,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(x,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(x,"fillPatternRotation",0),r.Factory.addGetterSetter(x,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(x,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(Cn);Object.defineProperty(Sg,"__esModule",{value:!0});Sg.Layer=void 0;const as=Yt,_2=Tu,ec=Ut,vE=Ne,X8=ao,Sye=be,wye=Cn,xye=Le;var Cye="#",Eye="beforeDraw",Tye="draw",qF=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],Aye=qF.length;class Gd extends _2.Container{constructor(t){super(t),this.canvas=new X8.SceneCanvas,this.hitCanvas=new X8.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(Eye,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),_2.Container.prototype.drawScene.call(this,i,n),this._fire(Tye,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),_2.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){as.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return as.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return as.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}Sg.Layer=Gd;Gd.prototype.nodeType="Layer";(0,xye._registerNode)(Gd);vE.Factory.addGetterSetter(Gd,"imageSmoothingEnabled",!0);vE.Factory.addGetterSetter(Gd,"clearBeforeDraw",!0);vE.Factory.addGetterSetter(Gd,"hitGraphEnabled",!0,(0,Sye.getBooleanValidator)());var b_={};Object.defineProperty(b_,"__esModule",{value:!0});b_.FastLayer=void 0;const kye=Yt,Pye=Sg,Oye=Le;class _E extends Pye.Layer{constructor(t){super(t),this.listening(!1),kye.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}b_.FastLayer=_E;_E.prototype.nodeType="FastLayer";(0,Oye._registerNode)(_E);var Hd={};Object.defineProperty(Hd,"__esModule",{value:!0});Hd.Group=void 0;const Rye=Yt,Iye=Tu,Mye=Le;class bE extends Iye.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&Rye.Util.throw("You may only add groups and shapes to groups.")}}Hd.Group=bE;bE.prototype.nodeType="Group";(0,Mye._registerNode)(bE);var Wd={};Object.defineProperty(Wd,"__esModule",{value:!0});Wd.Animation=void 0;const b2=Le,Y8=Yt;var S2=function(){return b2.glob.performance&&b2.glob.performance.now?function(){return b2.glob.performance.now()}:function(){return new Date().getTime()}}();class Ro{constructor(t,n){this.id=Ro.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:S2(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;ithis.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():p<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=p,this.update())}getTime(){return this._time}setPosition(p){this.prevPos=this._pos,this.propFunc(p),this._pos=p}getPosition(p){return p===void 0&&(p=this._time),this.func(p,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(p){this.pause(),this._time=p,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var p=this.getTimer()-this._startTime;this.state===a?this.setTime(p):this.state===l&&this.setTime(this.duration-p)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class f{constructor(p){var m=this,b=p.node,_=b._id,y,g=p.easing||e.Easings.Linear,v=!!p.yoyo,S;typeof p.duration>"u"?y=.3:p.duration===0?y=.001:y=p.duration,this.node=b,this._id=u++;var w=b.getLayer()||(b instanceof i.Konva.Stage?b.getLayers():null);w||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){m.tween.onEnterFrame()},w),this.tween=new d(S,function(C){m._tweenFunc(C)},g,0,1,y*1e3,v),this._addListeners(),f.attrs[_]||(f.attrs[_]={}),f.attrs[_][this._id]||(f.attrs[_][this._id]={}),f.tweens[_]||(f.tweens[_]={});for(S in p)o[S]===void 0&&this._addAttr(S,p[S]);this.reset(),this.onFinish=p.onFinish,this.onReset=p.onReset,this.onUpdate=p.onUpdate}_addAttr(p,m){var b=this.node,_=b._id,y,g,v,S,w,C,x,A;if(v=f.tweens[_][p],v&&delete f.attrs[_][v][p],y=b.getAttr(p),t.Util._isArray(m))if(g=[],w=Math.max(m.length,y.length),p==="points"&&m.length!==y.length&&(m.length>y.length?(x=y,y=t.Util._prepareArrayForTween(y,m,b.closed())):(C=m,m=t.Util._prepareArrayForTween(m,y,b.closed()))),p.indexOf("fill")===0)for(S=0;S{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueEnd&&p.setAttr("points",m.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueStart&&p.points(m.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(p){return this.tween.seek(p*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var p=this.node._id,m=this._id,b=f.tweens[p],_;this.pause();for(_ in b)delete f.tweens[p][_];delete f.attrs[p][m]}}e.Tween=f,f.attrs={},f.tweens={},r.Node.prototype.to=function(h){var p=h.onFinish;h.node=this,h.onFinish=function(){this.destroy(),p&&p()};var m=new f(h);m.play()},e.Easings={BackEaseIn(h,p,m,b){var _=1.70158;return m*(h/=b)*h*((_+1)*h-_)+p},BackEaseOut(h,p,m,b){var _=1.70158;return m*((h=h/b-1)*h*((_+1)*h+_)+1)+p},BackEaseInOut(h,p,m,b){var _=1.70158;return(h/=b/2)<1?m/2*(h*h*(((_*=1.525)+1)*h-_))+p:m/2*((h-=2)*h*(((_*=1.525)+1)*h+_)+2)+p},ElasticEaseIn(h,p,m,b,_,y){var g=0;return h===0?p:(h/=b)===1?p+m:(y||(y=b*.3),!_||_0?t:n),c=s*n,d=a*(a>0?t:n),f=l*(l>0?n:t);return{x:u,y:r?-1*f:d,width:c-u,height:f-d}}}S_.Arc=Ws;Ws.prototype._centroid=!0;Ws.prototype.className="Arc";Ws.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,Dye._registerNode)(Ws);w_.Factory.addGetterSetter(Ws,"innerRadius",0,(0,x_.getNumberValidator)());w_.Factory.addGetterSetter(Ws,"outerRadius",0,(0,x_.getNumberValidator)());w_.Factory.addGetterSetter(Ws,"angle",0,(0,x_.getNumberValidator)());w_.Factory.addGetterSetter(Ws,"clockwise",!1,(0,x_.getBooleanValidator)());var C_={},wg={};Object.defineProperty(wg,"__esModule",{value:!0});wg.Line=void 0;const E_=Ne,Lye=Cn,XF=be,$ye=Le;function Qx(e,t,n,r,i,o,s){var a=Math.sqrt(Math.pow(n-e,2)+Math.pow(r-t,2)),l=Math.sqrt(Math.pow(i-n,2)+Math.pow(o-r,2)),u=s*a/(a+l),c=s*l/(a+l),d=n-u*(i-e),f=r-u*(o-t),h=n+c*(i-e),p=r+c*(o-t);return[d,f,h,p]}function Q8(e,t){var n=e.length,r=[],i,o;for(i=2;i4){for(a=this.getTensionPoints(),l=a.length,u=o?0:4,o||t.quadraticCurveTo(a[0],a[1],a[2],a[3]);u{let u,c,d;u=l/2,c=0;for(let h=0;h<20;h++)d=u*e.tValues[20][h]+u,c+=e.cValues[20][h]*r(s,a,d);return u*c};e.getCubicArcLength=t;const n=(s,a,l)=>{l===void 0&&(l=1);const u=s[0]-2*s[1]+s[2],c=a[0]-2*a[1]+a[2],d=2*s[1]-2*s[0],f=2*a[1]-2*a[0],h=4*(u*u+c*c),p=4*(u*d+c*f),m=d*d+f*f;if(h===0)return l*Math.sqrt(Math.pow(s[2]-s[0],2)+Math.pow(a[2]-a[0],2));const b=p/(2*h),_=m/h,y=l+b,g=_-b*b,v=y*y+g>0?Math.sqrt(y*y+g):0,S=b*b+g>0?Math.sqrt(b*b+g):0,w=b+Math.sqrt(b*b+g)!==0?g*Math.log(Math.abs((y+v)/(b+S))):0;return Math.sqrt(h)/2*(y*v-b*S+w)};e.getQuadraticArcLength=n;function r(s,a,l){const u=i(1,l,s),c=i(1,l,a),d=u*u+c*c;return Math.sqrt(d)}const i=(s,a,l)=>{const u=l.length-1;let c,d;if(u===0)return 0;if(s===0){d=0;for(let f=0;f<=u;f++)d+=e.binomialCoefficients[u][f]*Math.pow(1-a,u-f)*Math.pow(a,f)*l[f];return d}else{c=new Array(u);for(let f=0;f{let u=1,c=s/a,d=(s-l(c))/a,f=0;for(;u>.001;){const h=l(c+d),p=Math.abs(s-h)/a;if(p500)break}return c};e.t2length=o})(YF);Object.defineProperty(qd,"__esModule",{value:!0});qd.Path=void 0;const Fye=Ne,Bye=Cn,zye=Le,tc=YF;class yn extends Bye.Shape{constructor(t){super(t),this.dataArray=[],this.pathLength=0,this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute()})}_readDataAttribute(){this.dataArray=yn.parsePathData(this.data()),this.pathLength=yn.getPathLength(this.dataArray)}_sceneFunc(t){var n=this.dataArray;t.beginPath();for(var r=!1,i=0;ic?u:c,b=u>c?1:u/c,_=u>c?c/u:1;t.translate(a,l),t.rotate(h),t.scale(b,_),t.arc(0,0,m,d,d+f,1-p),t.scale(1/b,1/_),t.rotate(-h),t.translate(-a,-l);break;case"z":r=!0,t.closePath();break}}!r&&!this.hasFill()?t.strokeShape(this):t.fillStrokeShape(this)}getSelfRect(){var t=[];this.dataArray.forEach(function(u){if(u.command==="A"){var c=u.points[4],d=u.points[5],f=u.points[4]+d,h=Math.PI/180;if(Math.abs(c-f)f;p-=h){const m=yn.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],p,0);t.push(m.x,m.y)}else for(let p=c+h;pn[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return yn.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return yn.getPointOnCubicBezier((0,tc.t2length)(t,yn.getPathLength(n),m=>(0,tc.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return yn.getPointOnQuadraticBezier((0,tc.t2length)(t,yn.getPathLength(n),m=>(0,tc.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],c=a[2],d=a[3],f=a[4],h=a[5],p=a[6];return f+=h*t/s.pathLength,yn.getPointOnEllipticalArc(l,u,c,d,f,p)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i0&&!isNaN(p[0]);){var y=null,g=[],v=l,S=u,w,C,x,A,T,P,L,R,E,k;switch(h){case"l":l+=p.shift(),u+=p.shift(),y="L",g.push(l,u);break;case"L":l=p.shift(),u=p.shift(),g.push(l,u);break;case"m":var N=p.shift(),$=p.shift();if(l+=N,u+=$,y="M",s.length>2&&s[s.length-1].command==="z"){for(var M=s.length-2;M>=0;M--)if(s[M].command==="M"){l=s[M].points[0]+N,u=s[M].points[1]+$;break}}g.push(l,u),h="l";break;case"M":l=p.shift(),u=p.shift(),y="M",g.push(l,u),h="L";break;case"h":l+=p.shift(),y="L",g.push(l,u);break;case"H":l=p.shift(),y="L",g.push(l,u);break;case"v":u+=p.shift(),y="L",g.push(l,u);break;case"V":u=p.shift(),y="L",g.push(l,u);break;case"C":g.push(p.shift(),p.shift(),p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"c":g.push(l+p.shift(),u+p.shift(),l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="C",g.push(l,u);break;case"S":C=l,x=u,w=s[s.length-1],w.command==="C"&&(C=l+(l-w.points[2]),x=u+(u-w.points[3])),g.push(C,x,p.shift(),p.shift()),l=p.shift(),u=p.shift(),y="C",g.push(l,u);break;case"s":C=l,x=u,w=s[s.length-1],w.command==="C"&&(C=l+(l-w.points[2]),x=u+(u-w.points[3])),g.push(C,x,l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="C",g.push(l,u);break;case"Q":g.push(p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"q":g.push(l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="Q",g.push(l,u);break;case"T":C=l,x=u,w=s[s.length-1],w.command==="Q"&&(C=l+(l-w.points[0]),x=u+(u-w.points[1])),l=p.shift(),u=p.shift(),y="Q",g.push(C,x,l,u);break;case"t":C=l,x=u,w=s[s.length-1],w.command==="Q"&&(C=l+(l-w.points[0]),x=u+(u-w.points[1])),l+=p.shift(),u+=p.shift(),y="Q",g.push(C,x,l,u);break;case"A":A=p.shift(),T=p.shift(),P=p.shift(),L=p.shift(),R=p.shift(),E=l,k=u,l=p.shift(),u=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(E,k,l,u,L,R,A,T,P);break;case"a":A=p.shift(),T=p.shift(),P=p.shift(),L=p.shift(),R=p.shift(),E=l,k=u,l+=p.shift(),u+=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(E,k,l,u,L,R,A,T,P);break}s.push({command:y||h,points:g,start:{x:v,y:S},pathLength:this.calcLength(v,S,y||h,g)})}(h==="z"||h==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=yn;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,tc.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,tc.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var c=i[4],d=i[5],f=i[4]+d,h=Math.PI/180;if(Math.abs(c-f)f;l-=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=c+h;l1&&(a*=Math.sqrt(h),l*=Math.sqrt(h));var p=Math.sqrt((a*a*(l*l)-a*a*(f*f)-l*l*(d*d))/(a*a*(f*f)+l*l*(d*d)));o===s&&(p*=-1),isNaN(p)&&(p=0);var m=p*a*f/l,b=p*-l*d/a,_=(t+r)/2+Math.cos(c)*m-Math.sin(c)*b,y=(n+i)/2+Math.sin(c)*m+Math.cos(c)*b,g=function(T){return Math.sqrt(T[0]*T[0]+T[1]*T[1])},v=function(T,P){return(T[0]*P[0]+T[1]*P[1])/(g(T)*g(P))},S=function(T,P){return(T[0]*P[1]=1&&(A=0),s===0&&A>0&&(A=A-2*Math.PI),s===1&&A<0&&(A=A+2*Math.PI),[_,y,a,l,w,A,c,s]}}qd.Path=yn;yn.prototype.className="Path";yn.prototype._attrsAffectingSize=["data"];(0,zye._registerNode)(yn);Fye.Factory.addGetterSetter(yn,"data");Object.defineProperty(C_,"__esModule",{value:!0});C_.Arrow=void 0;const T_=Ne,Uye=wg,ZF=be,jye=Le,J8=qd;class ku extends Uye.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const f=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],h=J8.Path.calcLength(i[i.length-4],i[i.length-3],"C",f),p=J8.Path.getPointOnQuadraticBezier(Math.min(1,1-s/h),f[0],f[1],f[2],f[3],f[4],f[5]);l=r[a-2]-p.x,u=r[a-1]-p.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var c=(Math.atan2(u,l)+n)%n,d=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(c),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}C_.Arrow=ku;ku.prototype.className="Arrow";(0,jye._registerNode)(ku);T_.Factory.addGetterSetter(ku,"pointerLength",10,(0,ZF.getNumberValidator)());T_.Factory.addGetterSetter(ku,"pointerWidth",10,(0,ZF.getNumberValidator)());T_.Factory.addGetterSetter(ku,"pointerAtBeginning",!1);T_.Factory.addGetterSetter(ku,"pointerAtEnding",!0);var A_={};Object.defineProperty(A_,"__esModule",{value:!0});A_.Circle=void 0;const Vye=Ne,Gye=Cn,Hye=be,Wye=Le;let Kd=class extends Gye.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};A_.Circle=Kd;Kd.prototype._centroid=!0;Kd.prototype.className="Circle";Kd.prototype._attrsAffectingSize=["radius"];(0,Wye._registerNode)(Kd);Vye.Factory.addGetterSetter(Kd,"radius",0,(0,Hye.getNumberValidator)());var k_={};Object.defineProperty(k_,"__esModule",{value:!0});k_.Ellipse=void 0;const SE=Ne,qye=Cn,QF=be,Kye=Le;class cl extends qye.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}k_.Ellipse=cl;cl.prototype.className="Ellipse";cl.prototype._centroid=!0;cl.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,Kye._registerNode)(cl);SE.Factory.addComponentsGetterSetter(cl,"radius",["x","y"]);SE.Factory.addGetterSetter(cl,"radiusX",0,(0,QF.getNumberValidator)());SE.Factory.addGetterSetter(cl,"radiusY",0,(0,QF.getNumberValidator)());var P_={};Object.defineProperty(P_,"__esModule",{value:!0});P_.Image=void 0;const w2=Yt,Pu=Ne,Xye=Cn,Yye=Le,xg=be;let Jo=class JF extends Xye.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?w2.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?w2.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=w2.Util.createImageElement();i.onload=function(){var o=new JF({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};P_.Image=Jo;Jo.prototype.className="Image";(0,Yye._registerNode)(Jo);Pu.Factory.addGetterSetter(Jo,"cornerRadius",0,(0,xg.getNumberOrArrayOfNumbersValidator)(4));Pu.Factory.addGetterSetter(Jo,"image");Pu.Factory.addComponentsGetterSetter(Jo,"crop",["x","y","width","height"]);Pu.Factory.addGetterSetter(Jo,"cropX",0,(0,xg.getNumberValidator)());Pu.Factory.addGetterSetter(Jo,"cropY",0,(0,xg.getNumberValidator)());Pu.Factory.addGetterSetter(Jo,"cropWidth",0,(0,xg.getNumberValidator)());Pu.Factory.addGetterSetter(Jo,"cropHeight",0,(0,xg.getNumberValidator)());var Cd={};Object.defineProperty(Cd,"__esModule",{value:!0});Cd.Tag=Cd.Label=void 0;const O_=Ne,Zye=Cn,Qye=Hd,wE=be,eB=Le;var tB=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],Jye="Change.konva",eve="none",Jx="up",eC="right",tC="down",nC="left",tve=tB.length;class xE extends Qye.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}I_.RegularPolygon=Ru;Ru.prototype.className="RegularPolygon";Ru.prototype._centroid=!0;Ru.prototype._attrsAffectingSize=["radius"];(0,lve._registerNode)(Ru);nB.Factory.addGetterSetter(Ru,"radius",0,(0,rB.getNumberValidator)());nB.Factory.addGetterSetter(Ru,"sides",0,(0,rB.getNumberValidator)());var M_={};Object.defineProperty(M_,"__esModule",{value:!0});M_.Ring=void 0;const iB=Ne,uve=Cn,oB=be,cve=Le;var eP=Math.PI*2;class Iu extends uve.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,eP,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),eP,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}M_.Ring=Iu;Iu.prototype.className="Ring";Iu.prototype._centroid=!0;Iu.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,cve._registerNode)(Iu);iB.Factory.addGetterSetter(Iu,"innerRadius",0,(0,oB.getNumberValidator)());iB.Factory.addGetterSetter(Iu,"outerRadius",0,(0,oB.getNumberValidator)());var N_={};Object.defineProperty(N_,"__esModule",{value:!0});N_.Sprite=void 0;const Mu=Ne,dve=Cn,fve=Wd,sB=be,hve=Le;class es extends dve.Shape{constructor(t){super(t),this._updated=!0,this.anim=new fve.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+0],l=o[i+1],u=o[i+2],c=o[i+3],d=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,c),t.closePath(),t.fillStrokeShape(this)),d)if(s){var f=s[n],h=r*2;t.drawImage(d,a,l,u,c,f[h+0],f[h+1],u,c)}else t.drawImage(d,a,l,u,c,0,0,u,c)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+2],l=o[i+3];if(t.beginPath(),s){var u=s[n],c=r*2;t.rect(u[c+0],u[c+1],a,l)}else t.rect(0,0,a,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var Dm;function C2(){return Dm||(Dm=rC.Util.createCanvasElement().getContext(bve),Dm)}function Rve(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function Ive(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function Mve(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}let un=class extends mve.Shape{constructor(t){super(Mve(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n1&&(_+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=rC.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(Sve,n),this}getWidth(){var t=this.attrs.width===nc||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===nc||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return rC.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}measureSize(t){var n=C2(),r=this.fontSize(),i;return n.save(),n.font=this._getContextFont(),i=n.measureText(t),n.restore(),{width:i.width,height:r}}_getContextFont(){return this.fontStyle()+Nm+this.fontVariant()+Nm+(this.fontSize()+Eve)+Ove(this.fontFamily())}_addTextLine(t){this.align()===xf&&(t=t.trim());var r=this._getTextWidth(t);return this.textArr.push({text:t,width:r,lastInParagraph:!1})}_getTextWidth(t){var n=this.letterSpacing(),r=t.length;return C2().measureText(t).width+(r?n*(r-1):0)}_setTextData(){var t=this.text().split(` -`),n=+this.fontSize(),r=0,i=this.lineHeight()*n,o=this.attrs.width,s=this.attrs.height,a=o!==nc&&o!==void 0,l=s!==nc&&s!==void 0,u=this.padding(),c=o-u*2,d=s-u*2,f=0,h=this.wrap(),p=h!==rP,m=h!==kve&&p,b=this.ellipsis();this.textArr=[],C2().font=this._getContextFont();for(var _=b?this._getTextWidth(x2):0,y=0,g=t.length;yc)for(;v.length>0;){for(var w=0,C=v.length,x="",A=0;w>>1,P=v.slice(0,T+1),L=this._getTextWidth(P)+_;L<=c?(w=T+1,x=P,A=L):C=T}if(x){if(m){var R,E=v[x.length],k=E===Nm||E===tP;k&&A<=c?R=x.length:R=Math.max(x.lastIndexOf(Nm),x.lastIndexOf(tP))+1,R>0&&(w=R,x=x.slice(0,w),A=this._getTextWidth(x))}x=x.trimRight(),this._addTextLine(x),r=Math.max(r,A),f+=i;var N=this._shouldHandleEllipsis(f);if(N){this._tryToAddEllipsisToLastLine();break}if(v=v.slice(w),v=v.trimLeft(),v.length>0&&(S=this._getTextWidth(v),S<=c)){this._addTextLine(v),f+=i,r=Math.max(r,S);break}}else break}else this._addTextLine(v),f+=i,r=Math.max(r,S),this._shouldHandleEllipsis(f)&&yd)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==nc&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==rP;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==nc&&t!==void 0,r=this.padding(),i=t-r*2,o=this.ellipsis(),s=this.textArr[this.textArr.length-1];if(!(!s||!o)){if(n){var a=this._getTextWidth(s.text+x2)n?null:Cf.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=Cf.Path.parsePathData(this.attrs.data),this.pathLength=this._getTextPathLength()}_sceneFunc(t){t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",this.textBaseline()),t.setAttr("textAlign","left"),t.save();var n=this.textDecoration(),r=this.fill(),i=this.fontSize(),o=this.glyphInfo;n==="underline"&&t.beginPath();for(var s=0;s=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;ie+`.${gB}`).join(" "),sP="nodesRect",Uve=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],jve={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const Vve="ontouchstart"in Wi.Konva._global;function Gve(e,t){if(e==="rotater")return"crosshair";t+=lt.Util.degToRad(jve[e]||0);var n=(lt.Util.radToDeg(t)%360+360)%360;return lt.Util._inRange(n,315+22.5,360)||lt.Util._inRange(n,0,22.5)?"ns-resize":lt.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":lt.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":lt.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":lt.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":lt.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":lt.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":lt.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(lt.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var sv=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],aP=1e8;function Hve(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function mB(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function Wve(e,t){const n=Hve(e);return mB(e,t,n)}function qve(e,t,n){let r=t;for(let i=0;ii.isAncestorOf(this)?(lt.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(Uve.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(sP),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(sP,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=(Wi.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),c={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return mB(c,-Wi.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-aP,y:-aP,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const c=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var d=[{x:c.x,y:c.y},{x:c.x+c.width,y:c.y},{x:c.x+c.width,y:c.y+c.height},{x:c.x,y:c.y+c.height}],f=u.getAbsoluteTransform();d.forEach(function(h){var p=f.point(h);n.push(p)})});const r=new lt.Transform;r.rotate(-Wi.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var c=r.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:Wi.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),sv.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new Fve.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:Vve?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=Wi.Konva.getAngle(this.rotation()),o=Gve(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new $ve.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*lt.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const c=o.getAbsolutePosition();if(!(u.x===c.x&&u.y===c.y)){if(this._movingAnchorName==="rotater"){var d=this._getNodeRect();n=o.x()-d.width/2,r=-o.y()+d.height/2;let R=Math.atan2(-r,n)+Math.PI/2;d.height<0&&(R-=Math.PI);var f=Wi.Konva.getAngle(this.rotation());const E=f+R,k=Wi.Konva.getAngle(this.rotationSnapTolerance()),$=qve(this.rotationSnaps(),E,k)-d.rotation,M=Wve(d,$);this._fitNodesInto(M,t);return}var h=this.shiftBehavior(),p;h==="inverted"?p=this.keepRatio()&&!t.shiftKey:h==="none"?p=this.keepRatio():p=this.keepRatio()||t.shiftKey;var g=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-left").x()>m.x?-1:1,_=this.findOne(".top-left").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-left").x(m.x-n),this.findOne(".top-left").y(m.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-right").x()m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-right").x(m.x+n),this.findOne(".top-right").y(m.y-r)}var y=o.position();this.findOne(".top-left").y(y.y),this.findOne(".bottom-right").x(y.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(o.y()-m.y,2));var b=m.x{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(lt.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(lt.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new lt.Transform;if(s.rotate(Wi.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const d=s.point({x:-this.padding()*2,y:0});if(t.x+=d.x,t.y+=d.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const d=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const d=s.point({x:0,y:-this.padding()*2});if(t.x+=d.x,t.y+=d.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const d=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const d=this.boundBoxFunc()(r,t);d?t=d:lt.Util.warn("boundBoxFunc returned falsy. 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nb={};Object.defineProperty(nb,"__esModule",{value:!0});nb.RGBA=void 0;const xp=Ne,rb=Ut,V1e=be,G1e=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s=this.alpha(),a,l;for(a=0;a255?255:e<0?0:Math.round(e)});xp.Factory.addGetterSetter(rb.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});xp.Factory.addGetterSetter(rb.Node,"blue",0,V1e.RGBComponent,xp.Factory.afterSetFilter);xp.Factory.addGetterSetter(rb.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var ib={};Object.defineProperty(ib,"__esModule",{value:!0});ib.Sepia=void 0;const H1e=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r127&&(u=255-u),c>127&&(c=255-c),d>127&&(d=255-d),t[l]=u,t[l+1]=c,t[l+2]=d}while(--a)}while(--o)};ob.Solarize=W1e;var sb={};Object.defineProperty(sb,"__esModule",{value:!0});sb.Threshold=void 0;const vP=Ne,q1e=Ut,K1e=be,X1e=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i{const{width:r,height:i}=t,o=document.createElement("div"),s=new Tf.Stage({container:o,width:r,height:i}),a=new Tf.Layer,l=new Tf.Layer;return a.add(new Tf.Rect({...t,fill:n?"black":"white"})),e.forEach(u=>l.add(new Tf.Line({points:u.points,stroke:n?"white":"black",strokeWidth:u.strokeWidth*2,tension:0,lineCap:"round",lineJoin:"round",shadowForStrokeEnabled:!1,globalCompositeOperation:u.tool==="brush"?"source-over":"destination-out"}))),s.add(a),s.add(l),o.remove(),s},D_e=async(e,t,n)=>new Promise((r,i)=>{const o=document.createElement("canvas");o.width=t,o.height=n;const s=o.getContext("2d"),a=new Image;if(!s){o.remove(),i("Unable to get context");return}a.onload=function(){s.drawImage(a,0,0),o.remove(),r(s.getImageData(0,0,t,n))},a.src=e}),SP=async(e,t)=>{const n=e.toDataURL(t);return await D_e(n,t.width,t.height)},RE=async(e,t,n,r,i)=>{const o=re("canvas"),s=h_(),a=P0e();if(!s||!a){o.error("Unable to find canvas / 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w=pl;const C=h?f:po.shouldUseCpuNoise,x={id:aC,nodes:{[w]:{type:"main_model_loader",id:w,is_intermediate:!0,model:o},[Qe]:{type:"clip_skip",id:Qe,is_intermediate:!0,skipped_layers:d},[ye]:{type:"compel",id:ye,is_intermediate:!0,prompt:r},[ve]:{type:"compel",id:ve,is_intermediate:!0,prompt:i},[ae]:{type:"noise",id:ae,is_intermediate:!0,use_cpu:C,width:S?y.width:b,height:S?y.height:_},[Pt]:{type:"i2l",id:Pt,is_intermediate:!0},[ge]:{type:"denoise_latents",id:ge,is_intermediate:!0,cfg_scale:s,scheduler:a,steps:l,denoising_start:1-u,denoising_end:1},[ie]:{type:"l2i",id:ie,is_intermediate:!v}},edges:[{source:{node_id:w,field:"unet"},destination:{node_id:ge,field:"unet"}},{source:{node_id:w,field:"clip"},destination:{node_id:Qe,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ge,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ge,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ge,field:"noise"}},{source:{node_id:Pt,field:"latents"},destination:{node_id:ge,field:"latents"}}]};return S?(x.nodes[Yc]={id:Yc,type:"img_resize",is_intermediate:!0,image:t,width:y.width,height:y.height},x.nodes[Se]={id:Se,type:"l2i",is_intermediate:!0,fp32:c==="fp32"},x.nodes[ie]={id:ie,type:"img_resize",is_intermediate:!v,width:b,height:_},x.edges.push({source:{node_id:Yc,field:"image"},destination:{node_id:Pt,field:"image"}},{source:{node_id:ge,field:"latents"},destination:{node_id:Se,field:"latents"}},{source:{node_id:Se,field:"image"},destination:{node_id:ie,field:"image"}})):(x.nodes[ie]={type:"l2i",id:ie,is_intermediate:!v,fp32:c==="fp32"},x.nodes[Pt].image=t,x.edges.push({source:{node_id:ge,field:"latents"},destination:{node_id:ie,field:"latents"}})),x.nodes[Fe]={id:Fe,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:s,width:S?y.width:b,height:S?y.height:_,positive_prompt:"",negative_prompt:i,model:o,seed:0,steps:l,rand_device:C?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],clip_skip:d,strength:u,init_image:t.image_name},x.edges.push({source:{node_id:Fe,field:"metadata"},destination:{node_id:ie,field:"metadata"}}),(p||m)&&(Bi(e,x,w),w=Sn),Xd(e,x,ge),zi(e,x,w),gl(e,x),$i(e,x,ge),e.system.shouldUseNSFWChecker&&Fi(e,x,ie),e.system.shouldUseWatermarker&&Ui(e,x,ie),x},ISe=(e,t,n)=>{const r=re("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,img2imgStrength:c,iterations:d,seed:f,shouldRandomizeSeed:h,vaePrecision:p,shouldUseNoiseSettings:m,shouldUseCpuNoise:b,maskBlur:_,maskBlurMethod:y,canvasCoherenceSteps:g,canvasCoherenceStrength:v,clipSkip:S,seamlessXAxis:w,seamlessYAxis:C}=e.generation;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:x,height:A}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:T,boundingBoxScaleMethod:P,shouldAutoSave:L}=e.canvas;let R=pl;const E=b,k={id:lb,nodes:{[R]:{type:"main_model_loader",id:R,is_intermediate:!0,model:s},[Qe]:{type:"clip_skip",id:Qe,is_intermediate:!0,skipped_layers:S},[ye]:{type:"compel",id:ye,is_intermediate:!0,prompt:i},[ve]:{type:"compel",id:ve,is_intermediate:!0,prompt:o},[Ke]:{type:"img_blur",id:Ke,is_intermediate:!0,radius:_,blur_type:y},[Ot]:{type:"i2l",id:Ot,is_intermediate:!0,fp32:p==="fp32"},[mt]:{type:"create_denoise_mask",id:mt,is_intermediate:!0,fp32:p==="fp32"},[ae]:{type:"noise",id:ae,use_cpu:E,is_intermediate:!0},[ge]:{type:"denoise_latents",id:ge,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:1-c,denoising_end:1},[ct]:{type:"noise",id:ae,use_cpu:E,is_intermediate:!0},[cr]:{type:"add",id:cr,b:1,is_intermediate:!0},[We]:{type:"denoise_latents",id:ge,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-v,denoising_end:1},[Se]:{type:"l2i",id:Se,is_intermediate:!0,fp32:p==="fp32"},[ie]:{type:"color_correct",id:ie,is_intermediate:!L,reference:t},[Bt]:{type:"range_of_size",id:Bt,is_intermediate:!0,size:d,step:1},[it]:{type:"iterate",id:it,is_intermediate:!0}},edges:[{source:{node_id:R,field:"unet"},destination:{node_id:ge,field:"unet"}},{source:{node_id:R,field:"clip"},destination:{node_id:Qe,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ge,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ge,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ge,field:"noise"}},{source:{node_id:Ot,field:"latents"},destination:{node_id:ge,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:mt,field:"mask"}},{source:{node_id:mt,field:"denoise_mask"},destination:{node_id:ge,field:"denoise_mask"}},{source:{node_id:Bt,field:"collection"},destination:{node_id:it,field:"collection"}},{source:{node_id:it,field:"item"},destination:{node_id:ae,field:"seed"}},{source:{node_id:it,field:"item"},destination:{node_id:cr,field:"a"}},{source:{node_id:cr,field:"value"},destination:{node_id:ct,field:"seed"}},{source:{node_id:R,field:"unet"},destination:{node_id:We,field:"unet"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:We,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:We,field:"negative_conditioning"}},{source:{node_id:ct,field:"noise"},destination:{node_id:We,field:"noise"}},{source:{node_id:ge,field:"latents"},destination:{node_id:We,field:"latents"}},{source:{node_id:We,field:"latents"},destination:{node_id:Se,field:"latents"}}]};if(["auto","manual"].includes(P)){const N=T.width,$=T.height;k.nodes[Cr]={type:"img_resize",id:Cr,is_intermediate:!0,width:N,height:$,image:t},k.nodes[lr]={type:"img_resize",id:lr,is_intermediate:!0,width:N,height:$,image:n},k.nodes[ur]={type:"img_resize",id:ur,is_intermediate:!0,width:x,height:A},k.nodes[dr]={type:"img_resize",id:dr,is_intermediate:!0,width:x,height:A},k.nodes[ae].width=N,k.nodes[ae].height=$,k.nodes[ct].width=N,k.nodes[ct].height=$,k.edges.push({source:{node_id:Cr,field:"image"},destination:{node_id:Ot,field:"image"}},{source:{node_id:lr,field:"image"},destination:{node_id:Ke,field:"image"}},{source:{node_id:Cr,field:"image"},destination:{node_id:mt,field:"image"}},{source:{node_id:Se,field:"image"},destination:{node_id:ur,field:"image"}},{source:{node_id:ur,field:"image"},destination:{node_id:ie,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:dr,field:"image"}},{source:{node_id:dr,field:"image"},destination:{node_id:ie,field:"mask"}})}else 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N=b,$={id:ub,nodes:{[k]:{type:"main_model_loader",id:k,is_intermediate:!0,model:s},[Qe]:{type:"clip_skip",id:Qe,is_intermediate:!0,skipped_layers:C},[ye]:{type:"compel",id:ye,is_intermediate:!0,prompt:i},[ve]:{type:"compel",id:ve,is_intermediate:!0,prompt:o},[Zc]:{type:"tomask",id:Zc,is_intermediate:!0,image:t},[Mo]:{type:"mask_combine",id:Mo,is_intermediate:!0,mask2:n},[Ke]:{type:"img_blur",id:Ke,is_intermediate:!0,radius:_,blur_type:y},[Ot]:{type:"i2l",id:Ot,is_intermediate:!0,fp32:p==="fp32"},[ae]:{type:"noise",id:ae,use_cpu:N,is_intermediate:!0},[mt]:{type:"create_denoise_mask",id:mt,is_intermediate:!0,fp32:p==="fp32"},[ge]:{type:"denoise_latents",id:ge,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:1-c,denoising_end:1},[ct]:{type:"noise",id:ae,use_cpu:N,is_intermediate:!0},[cr]:{type:"add",id:cr,b:1,is_intermediate:!0},[We]:{type:"denoise_latents",id:We,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-v,denoising_end:1},[Se]:{type:"l2i",id:Se,is_intermediate:!0,fp32:p==="fp32"},[ie]:{type:"color_correct",id:ie,is_intermediate:!E},[Bt]:{type:"range_of_size",id:Bt,is_intermediate:!0,size:d,step:1},[it]:{type:"iterate",id:it,is_intermediate:!0}},edges:[{source:{node_id:k,field:"unet"},destination:{node_id:ge,field:"unet"}},{source:{node_id:k,field:"clip"},destination:{node_id:Qe,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:ut,field:"image"},destination:{node_id:Ot,field:"image"}},{source:{node_id:Zc,field:"image"},destination:{node_id:Mo,field:"mask1"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ge,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ge,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ge,field:"noise"}},{source:{node_id:Ot,field:"latents"},destination:{node_id:ge,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:mt,field:"mask"}},{source:{node_id:mt,field:"denoise_mask"},destination:{node_id:ge,field:"denoise_mask"}},{source:{node_id:Bt,field:"collection"},destination:{node_id:it,field:"collection"}},{source:{node_id:it,field:"item"},destination:{node_id:ae,field:"seed"}},{source:{node_id:it,field:"item"},destination:{node_id:cr,field:"a"}},{source:{node_id:cr,field:"value"},destination:{node_id:ct,field:"seed"}},{source:{node_id:k,field:"unet"},destination:{node_id:We,field:"unet"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:We,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:We,field:"negative_conditioning"}},{source:{node_id:ct,field:"noise"},destination:{node_id:We,field:"noise"}},{source:{node_id:ge,field:"latents"},destination:{node_id:We,field:"latents"}},{source:{node_id:We,field:"latents"},destination:{node_id:Se,field:"latents"}}]};if(w==="patchmatch"&&($.nodes[ut]={type:"infill_patchmatch",id:ut,is_intermediate:!0}),w==="lama"&&($.nodes[ut]={type:"infill_lama",id:ut,is_intermediate:!0}),w==="tile"&&($.nodes[ut]={type:"infill_tile",id:ut,is_intermediate:!0,tile_size:S}),["auto","manual"].includes(R)){const 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y=r||Yn,{craftedPositiveStylePrompt:g,craftedNegativeStylePrompt:v}=Du(e,!0);t.edges=t.edges.filter(S=>!(S.source.node_id===n&&["latents"].includes(S.source.field))),t.edges=t.edges.filter(S=>!(S.source.node_id===y&&["vae"].includes(S.source.field))),t.nodes[Tl]={type:"sdxl_refiner_model_loader",id:Tl,model:o},t.nodes[Fm]={type:"sdxl_refiner_compel_prompt",id:Fm,style:g,aesthetic_score:s},t.nodes[Bm]={type:"sdxl_refiner_compel_prompt",id:Bm,style:v,aesthetic_score:a},t.nodes[So]={type:"denoise_latents",id:So,cfg_scale:c,steps:l,scheduler:u,denoising_start:d,denoising_end:1},f||h?(t.nodes[eo]={id:eo,type:"seamless",seamless_x:f,seamless_y:h},t.edges.push({source:{node_id:Tl,field:"unet"},destination:{node_id:eo,field:"unet"}},{source:{node_id:Tl,field:"vae"},destination:{node_id:eo,field:"vae"}},{source:{node_id:eo,field:"unet"},destination:{node_id:So,field:"unet"}})):t.edges.push({source:{node_id:Tl,field:"unet"},destination:{node_id:So,field:"unet"}}),t.edges.push({source:{node_id:Tl,field:"clip2"},destination:{node_id:Fm,field:"clip2"}},{source:{node_id:Tl,field:"clip2"},destination:{node_id:Bm,field:"clip2"}},{source:{node_id:Fm,field:"conditioning"},destination:{node_id:So,field:"positive_conditioning"}},{source:{node_id:Bm,field:"conditioning"},destination:{node_id:So,field:"negative_conditioning"}},{source:{node_id:n,field:"latents"},destination:{node_id:So,field:"latents"}}),(t.id===mu||t.id===yu)&&(t.nodes[gs]={type:"create_denoise_mask",id:gs,is_intermediate:!0,fp32:p==="fp32"},b?t.edges.push({source:{node_id:Cr,field:"image"},destination:{node_id:gs,field:"image"}}):t.nodes[gs]={...t.nodes[gs],image:i},t.edges.push({source:{node_id:Ke,field:"image"},destination:{node_id:gs,field:"mask"}},{source:{node_id:gs,field:"denoise_mask"},destination:{node_id:So,field:"denoise_mask"}})),t.id===cb||t.id===Ep?t.edges.push({source:{node_id:So,field:"latents"},destination:{node_id:b?Se:ie,field:"latents"}}):t.edges.push({source:{node_id:So,field:"latents"},destination:{node_id:Se,field:"latents"}})},NSe=(e,t)=>{const n=re("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:s,scheduler:a,steps:l,vaePrecision:u,clipSkip:c,shouldUseCpuNoise:d,shouldUseNoiseSettings:f,seamlessXAxis:h,seamlessYAxis:p}=e.generation,{shouldUseSDXLRefiner:m,refinerStart:b,sdxlImg2ImgDenoisingStrength:_,shouldConcatSDXLStylePrompt:y}=e.sdxl,{width:g,height:v}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:S,boundingBoxScaleMethod:w,shouldAutoSave:C}=e.canvas,x=["auto","manual"].includes(w);if(!o)throw n.error("No model found in state"),new Error("No model found in state");let A=Yn;const T=f?d:po.shouldUseCpuNoise,{craftedPositiveStylePrompt:P,craftedNegativeStylePrompt:L}=Du(e,y),R={id:Ep,nodes:{[A]:{type:"sdxl_model_loader",id:A,model:o},[ye]:{type:"sdxl_compel_prompt",id:ye,prompt:r,style:P},[ve]:{type:"sdxl_compel_prompt",id:ve,prompt:i,style:L},[ae]:{type:"noise",id:ae,is_intermediate:!0,use_cpu:T,width:x?S.width:g,height:x?S.height:v},[Pt]:{type:"i2l",id:Pt,is_intermediate:!0,fp32:u==="fp32"},[ce]:{type:"denoise_latents",id:ce,is_intermediate:!0,cfg_scale:s,scheduler:a,steps:l,denoising_start:m?Math.min(b,1-_):1-_,denoising_end:m?b:1}},edges:[{source:{node_id:A,field:"unet"},destination:{node_id:ce,field:"unet"}},{source:{node_id:A,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:ye,field:"clip2"}},{source:{node_id:A,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:ve,field:"clip2"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ce,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ce,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ce,field:"noise"}},{source:{node_id:Pt,field:"latents"},destination:{node_id:ce,field:"latents"}}]};return x?(R.nodes[Yc]={id:Yc,type:"img_resize",is_intermediate:!0,image:t,width:S.width,height:S.height},R.nodes[Se]={id:Se,type:"l2i",is_intermediate:!0,fp32:u==="fp32"},R.nodes[ie]={id:ie,type:"img_resize",is_intermediate:!C,width:g,height:v},R.edges.push({source:{node_id:Yc,field:"image"},destination:{node_id:Pt,field:"image"}},{source:{node_id:ce,field:"latents"},destination:{node_id:Se,field:"latents"}},{source:{node_id:Se,field:"image"},destination:{node_id:ie,field:"image"}})):(R.nodes[ie]={type:"l2i",id:ie,is_intermediate:!C,fp32:u==="fp32"},R.nodes[Pt].image=t,R.edges.push({source:{node_id:ce,field:"latents"},destination:{node_id:ie,field:"latents"}})),R.nodes[Fe]={id:Fe,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:s,width:x?S.width:g,height:x?S.height:v,positive_prompt:"",negative_prompt:i,model:o,seed:0,steps:l,rand_device:T?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],clip_skip:c,strength:_,init_image:t.image_name},R.edges.push({source:{node_id:Fe,field:"metadata"},destination:{node_id:ie,field:"metadata"}}),(h||p)&&(Bi(e,R,A),A=Sn),m&&(Zd(e,R,ce,A),(h||p)&&(A=eo)),zi(e,R,A),Yd(e,R,ce,A),gl(e,R),$i(e,R,ce),e.system.shouldUseNSFWChecker&&Fi(e,R,ie),e.system.shouldUseWatermarker&&Ui(e,R,ie),R},DSe=(e,t,n)=>{const r=re("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,maskBlurMethod:_,canvasCoherenceSteps:y,canvasCoherenceStrength:g,seamlessXAxis:v,seamlessYAxis:S}=e.generation,{sdxlImg2ImgDenoisingStrength:w,shouldUseSDXLRefiner:C,refinerStart:x,shouldConcatSDXLStylePrompt:A}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in 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N=m,{craftedPositiveStylePrompt:$,craftedNegativeStylePrompt:M}=Du(e,A),O={id:mu,nodes:{[k]:{type:"sdxl_model_loader",id:k,model:s},[ye]:{type:"sdxl_compel_prompt",id:ye,prompt:i,style:$},[ve]:{type:"sdxl_compel_prompt",id:ve,prompt:o,style:M},[Ke]:{type:"img_blur",id:Ke,is_intermediate:!0,radius:b,blur_type:_},[Ot]:{type:"i2l",id:Ot,is_intermediate:!0,fp32:h==="fp32"},[ae]:{type:"noise",id:ae,use_cpu:N,is_intermediate:!0},[mt]:{type:"create_denoise_mask",id:mt,is_intermediate:!0,fp32:h==="fp32"},[ce]:{type:"denoise_latents",id:ce,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:C?Math.min(x,1-w):1-w,denoising_end:C?x:1},[ct]:{type:"noise",id:ae,use_cpu:N,is_intermediate:!0},[cr]:{type:"add",id:cr,b:1,is_intermediate:!0},[We]:{type:"denoise_latents",id:ce,is_intermediate:!0,steps:y,cfg_scale:a,scheduler:l,denoising_start:1-g,denoising_end:1},[Se]:{type:"l2i",id:Se,is_intermediate:!0,fp32:h==="fp32"},[ie]:{type:"color_correct",id:ie,is_intermediate:!E,reference:t},[Bt]:{type:"range_of_size",id:Bt,is_intermediate:!0,size:c,step:1},[it]:{type:"iterate",id:it,is_intermediate:!0}},edges:[{source:{node_id:k,field:"unet"},destination:{node_id:ce,field:"unet"}},{source:{node_id:k,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:k,field:"clip2"},destination:{node_id:ye,field:"clip2"}},{source:{node_id:k,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:k,field:"clip2"},destination:{node_id:ve,field:"clip2"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ce,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ce,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ce,field:"noise"}},{source:{node_id:Ot,field:"latents"},destination:{node_id:ce,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:mt,field:"mask"}},{source:{node_id:mt,field:"denoise_mask"},destination:{node_id:ce,field:"denoise_mask"}},{source:{node_id:Bt,field:"collection"},destination:{node_id:it,field:"collection"}},{source:{node_id:it,field:"item"},destination:{node_id:ae,field:"seed"}},{source:{node_id:it,field:"item"},destination:{node_id:cr,field:"a"}},{source:{node_id:cr,field:"value"},destination:{node_id:ct,field:"seed"}},{source:{node_id:k,field:"unet"},destination:{node_id:We,field:"unet"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:We,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:We,field:"negative_conditioning"}},{source:{node_id:ct,field:"noise"},destination:{node_id:We,field:"noise"}},{source:{node_id:ce,field:"latents"},destination:{node_id:We,field:"latents"}},{source:{node_id:We,field:"latents"},destination:{node_id:Se,field:"latents"}}]};if(["auto","manual"].includes(R)){const D=L.width,F=L.height;O.nodes[Cr]={type:"img_resize",id:Cr,is_intermediate:!0,width:D,height:F,image:t},O.nodes[lr]={type:"img_resize",id:lr,is_intermediate:!0,width:D,height:F,image:n},O.nodes[ur]={type:"img_resize",id:ur,is_intermediate:!0,width:T,height:P},O.nodes[dr]={type:"img_resize",id:dr,is_intermediate:!0,width:T,height:P},O.nodes[ae].width=D,O.nodes[ae].height=F,O.nodes[ct].width=D,O.nodes[ct].height=F,O.edges.push({source:{node_id:Cr,field:"image"},destination:{node_id:Ot,field:"image"}},{source:{node_id:lr,field:"image"},destination:{node_id:Ke,field:"image"}},{source:{node_id:Cr,field:"image"},destination:{node_id:mt,field:"image"}},{source:{node_id:Se,field:"image"},destination:{node_id:ur,field:"image"}},{source:{node_id:ur,field:"image"},destination:{node_id:ie,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:dr,field:"image"}},{source:{node_id:dr,field:"image"},destination:{node_id:ie,field:"mask"}})}else O.nodes[ae].width=T,O.nodes[ae].height=P,O.nodes[ct].width=T,O.nodes[ct].height=P,O.nodes[Ot]={...O.nodes[Ot],image:t},O.nodes[Ke]={...O.nodes[Ke],image:n},O.nodes[mt]={...O.nodes[mt],image:t},O.edges.push({source:{node_id:Se,field:"image"},destination:{node_id:ie,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ie,field:"mask"}});if(f){const D={id:_n,type:"rand_int"};O.nodes[_n]=D,O.edges.push({source:{node_id:_n,field:"value"},destination:{node_id:Bt,field:"start"}})}else O.nodes[Bt].start=d;return(v||S)&&(Bi(e,O,k),k=Sn),C&&(Zd(e,O,We,k,t),(v||S)&&(k=eo)),zi(e,O,k),Yd(e,O,ce,k),$i(e,O,ce),e.system.shouldUseNSFWChecker&&Fi(e,O,ie),e.system.shouldUseWatermarker&&Ui(e,O,ie),O},LSe=(e,t,n)=>{const r=re("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,maskBlurMethod:_,canvasCoherenceSteps:y,canvasCoherenceStrength:g,tileSize:v,infillMethod:S,seamlessXAxis:w,seamlessYAxis:C}=e.generation,{sdxlImg2ImgDenoisingStrength:x,shouldUseSDXLRefiner:A,refinerStart:T,shouldConcatSDXLStylePrompt:P}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:L,height:R}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:E,boundingBoxScaleMethod:k,shouldAutoSave:N}=e.canvas;let $=Yn;const M=m,{craftedPositiveStylePrompt:O,craftedNegativeStylePrompt:D}=Du(e,P),F={id:yu,nodes:{[Yn]:{type:"sdxl_model_loader",id:Yn,model:s},[ye]:{type:"sdxl_compel_prompt",id:ye,prompt:i,style:O},[ve]:{type:"sdxl_compel_prompt",id:ve,prompt:o,style:D},[Zc]:{type:"tomask",id:Zc,is_intermediate:!0,image:t},[Mo]:{type:"mask_combine",id:Mo,is_intermediate:!0,mask2:n},[Ke]:{type:"img_blur",id:Ke,is_intermediate:!0,radius:b,blur_type:_},[Ot]:{type:"i2l",id:Ot,is_intermediate:!0,fp32:h==="fp32"},[ae]:{type:"noise",id:ae,use_cpu:M,is_intermediate:!0},[mt]:{type:"create_denoise_mask",id:mt,is_intermediate:!0,fp32:h==="fp32"},[ce]:{type:"denoise_latents",id:ce,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:A?Math.min(T,1-x):1-x,denoising_end:A?T:1},[ct]:{type:"noise",id:ae,use_cpu:M,is_intermediate:!0},[cr]:{type:"add",id:cr,b:1,is_intermediate:!0},[We]:{type:"denoise_latents",id:We,is_intermediate:!0,steps:y,cfg_scale:a,scheduler:l,denoising_start:1-g,denoising_end:1},[Se]:{type:"l2i",id:Se,is_intermediate:!0,fp32:h==="fp32"},[ie]:{type:"color_correct",id:ie,is_intermediate:!N},[Bt]:{type:"range_of_size",id:Bt,is_intermediate:!0,size:c,step:1},[it]:{type:"iterate",id:it,is_intermediate:!0}},edges:[{source:{node_id:Yn,field:"unet"},destination:{node_id:ce,field:"unet"}},{source:{node_id:Yn,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:Yn,field:"clip2"},destination:{node_id:ye,field:"clip2"}},{source:{node_id:Yn,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:Yn,field:"clip2"},destination:{node_id:ve,field:"clip2"}},{source:{node_id:ut,field:"image"},destination:{node_id:Ot,field:"image"}},{source:{node_id:Zc,field:"image"},destination:{node_id:Mo,field:"mask1"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ce,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ce,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ce,field:"noise"}},{source:{node_id:Ot,field:"latents"},destination:{node_id:ce,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:mt,field:"mask"}},{source:{node_id:mt,field:"denoise_mask"},destination:{node_id:ce,field:"denoise_mask"}},{source:{node_id:Bt,field:"collection"},destination:{node_id:it,field:"collection"}},{source:{node_id:it,field:"item"},destination:{node_id:ae,field:"seed"}},{source:{node_id:it,field:"item"},destination:{node_id:cr,field:"a"}},{source:{node_id:cr,field:"value"},destination:{node_id:ct,field:"seed"}},{source:{node_id:Yn,field:"unet"},destination:{node_id:We,field:"unet"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:We,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:We,field:"negative_conditioning"}},{source:{node_id:ct,field:"noise"},destination:{node_id:We,field:"noise"}},{source:{node_id:ce,field:"latents"},destination:{node_id:We,field:"latents"}},{source:{node_id:We,field:"latents"},destination:{node_id:Se,field:"latents"}}]};if(S==="patchmatch"&&(F.nodes[ut]={type:"infill_patchmatch",id:ut,is_intermediate:!0}),S==="lama"&&(F.nodes[ut]={type:"infill_lama",id:ut,is_intermediate:!0}),S==="tile"&&(F.nodes[ut]={type:"infill_tile",id:ut,is_intermediate:!0,tile_size:v}),["auto","manual"].includes(k)){const U=E.width,V=E.height;F.nodes[Cr]={type:"img_resize",id:Cr,is_intermediate:!0,width:U,height:V,image:t},F.nodes[lr]={type:"img_resize",id:lr,is_intermediate:!0,width:U,height:V},F.nodes[ur]={type:"img_resize",id:ur,is_intermediate:!0,width:L,height:R},F.nodes[wa]={type:"img_resize",id:wa,is_intermediate:!0,width:L,height:R},F.nodes[dr]={type:"img_resize",id:dr,is_intermediate:!0,width:L,height:R},F.nodes[ae].width=U,F.nodes[ae].height=V,F.nodes[ct].width=U,F.nodes[ct].height=V,F.edges.push({source:{node_id:Cr,field:"image"},destination:{node_id:ut,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:mt,field:"image"}},{source:{node_id:Mo,field:"image"},destination:{node_id:lr,field:"image"}},{source:{node_id:lr,field:"image"},destination:{node_id:Ke,field:"image"}},{source:{node_id:Se,field:"image"},destination:{node_id:ur,field:"image"}},{source:{node_id:lr,field:"image"},destination:{node_id:dr,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:wa,field:"image"}},{source:{node_id:wa,field:"image"},destination:{node_id:ie,field:"reference"}},{source:{node_id:ur,field:"image"},destination:{node_id:ie,field:"image"}},{source:{node_id:dr,field:"image"},destination:{node_id:ie,field:"mask"}})}else F.nodes[ut]={...F.nodes[ut],image:t},F.nodes[ae].width=L,F.nodes[ae].height=R,F.nodes[ct].width=L,F.nodes[ct].height=R,F.nodes[Ot]={...F.nodes[Ot],image:t},F.nodes[Ke]={...F.nodes[Ke]},F.edges.push({source:{node_id:Mo,field:"image"},destination:{node_id:Ke,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:mt,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:ie,field:"reference"}},{source:{node_id:Se,field:"image"},destination:{node_id:ie,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ie,field:"mask"}});if(f){const U={id:_n,type:"rand_int"};F.nodes[_n]=U,F.edges.push({source:{node_id:_n,field:"value"},destination:{node_id:Bt,field:"start"}})}else F.nodes[Bt].start=d;return(w||C)&&(Bi(e,F,$),$=Sn),A&&(Zd(e,F,We,$,t),(w||C)&&($=eo)),zi(e,F,$),Yd(e,F,ce,$),$i(e,F,ce),e.system.shouldUseNSFWChecker&&Fi(e,F,ie),e.system.shouldUseWatermarker&&Ui(e,F,ie),F},$Se=e=>{const t=re("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:y}=e.canvas,g=["auto","manual"].includes(_),{shouldUseSDXLRefiner:v,refinerStart:S,shouldConcatSDXLStylePrompt:w}=e.sdxl;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const C=d?c:po.shouldUseCpuNoise,x=i.model_type==="onnx";let A=x?ab:Yn;const T=x?"onnx_model_loader":"sdxl_model_loader",P=x?{type:"t2l_onnx",id:ce,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:ce,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:v?S:1},{craftedPositiveStylePrompt:L,craftedNegativeStylePrompt:R}=Du(e,w),E={id:cb,nodes:{[A]:{type:T,id:A,is_intermediate:!0,model:i},[ye]:{type:x?"prompt_onnx":"sdxl_compel_prompt",id:ye,is_intermediate:!0,prompt:n,style:L},[ve]:{type:x?"prompt_onnx":"sdxl_compel_prompt",id:ve,is_intermediate:!0,prompt:r,style:R},[ae]:{type:"noise",id:ae,is_intermediate:!0,width:g?b.width:p,height:g?b.height:m,use_cpu:C},[P.id]:P},edges:[{source:{node_id:A,field:"unet"},destination:{node_id:ce,field:"unet"}},{source:{node_id:A,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:ye,field:"clip2"}},{source:{node_id:A,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:ve,field:"clip2"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ce,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ce,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ce,field:"noise"}}]};return g?(E.nodes[Se]={id:Se,type:x?"l2i_onnx":"l2i",is_intermediate:!0,fp32:l==="fp32"},E.nodes[ie]={id:ie,type:"img_resize",is_intermediate:!y,width:p,height:m},E.edges.push({source:{node_id:ce,field:"latents"},destination:{node_id:Se,field:"latents"}},{source:{node_id:Se,field:"image"},destination:{node_id:ie,field:"image"}})):(E.nodes[ie]={type:x?"l2i_onnx":"l2i",id:ie,is_intermediate:!y,fp32:l==="fp32"},E.edges.push({source:{node_id:ce,field:"latents"},destination:{node_id:ie,field:"latents"}})),E.nodes[Fe]={id:Fe,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:g?b.width:p,height:g?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:C?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:u},E.edges.push({source:{node_id:Fe,field:"metadata"},destination:{node_id:ie,field:"metadata"}}),(f||h)&&(Bi(e,E,A),A=Sn),v&&(Zd(e,E,ce,A),(f||h)&&(A=eo)),Yd(e,E,ce,A),zi(e,E,A),gl(e,E),$i(e,E,ce),e.system.shouldUseNSFWChecker&&Fi(e,E,ie),e.system.shouldUseWatermarker&&Ui(e,E,ie),E},FSe=e=>{const t=re("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:y}=e.canvas,g=["auto","manual"].includes(_);if(!i)throw t.error("No model found in state"),new Error("No model found in state");const v=d?c:po.shouldUseCpuNoise,S=i.model_type==="onnx";let w=S?ab:pl;const C=S?"onnx_model_loader":"main_model_loader",x=S?{type:"t2l_onnx",id:ge,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:ge,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:1},A={id:AB,nodes:{[w]:{type:C,id:w,is_intermediate:!0,model:i},[Qe]:{type:"clip_skip",id:Qe,is_intermediate:!0,skipped_layers:u},[ye]:{type:S?"prompt_onnx":"compel",id:ye,is_intermediate:!0,prompt:n},[ve]:{type:S?"prompt_onnx":"compel",id:ve,is_intermediate:!0,prompt:r},[ae]:{type:"noise",id:ae,is_intermediate:!0,width:g?b.width:p,height:g?b.height:m,use_cpu:v},[x.id]:x},edges:[{source:{node_id:w,field:"unet"},destination:{node_id:ge,field:"unet"}},{source:{node_id:w,field:"clip"},destination:{node_id:Qe,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ge,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ge,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ge,field:"noise"}}]};return g?(A.nodes[Se]={id:Se,type:S?"l2i_onnx":"l2i",is_intermediate:!0,fp32:l==="fp32"},A.nodes[ie]={id:ie,type:"img_resize",is_intermediate:!y,width:p,height:m},A.edges.push({source:{node_id:ge,field:"latents"},destination:{node_id:Se,field:"latents"}},{source:{node_id:Se,field:"image"},destination:{node_id:ie,field:"image"}})):(A.nodes[ie]={type:S?"l2i_onnx":"l2i",id:ie,is_intermediate:!y,fp32:l==="fp32"},A.edges.push({source:{node_id:ge,field:"latents"},destination:{node_id:ie,field:"latents"}})),A.nodes[Fe]={id:Fe,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:g?b.width:p,height:g?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:v?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:u},A.edges.push({source:{node_id:Fe,field:"metadata"},destination:{node_id:ie,field:"metadata"}}),(f||h)&&(Bi(e,A,w),w=Sn),zi(e,A,w),Xd(e,A,ge,w),gl(e,A),$i(e,A,ge),e.system.shouldUseNSFWChecker&&Fi(e,A,ie),e.system.shouldUseWatermarker&&Ui(e,A,ie),A},BSe=(e,t,n,r)=>{let i;if(t==="txt2img")e.generation.model&&e.generation.model.base_model==="sdxl"?i=$Se(e):i=FSe(e);else if(t==="img2img"){if(!n)throw new Error("Missing canvas init image");e.generation.model&&e.generation.model.base_model==="sdxl"?i=NSe(e,n):i=RSe(e,n)}else if(t==="inpaint"){if(!n||!r)throw new Error("Missing canvas init and mask images");e.generation.model&&e.generation.model.base_model==="sdxl"?i=DSe(e,n,r):i=ISe(e,n,r)}else{if(!n)throw new Error("Missing canvas init image");e.generation.model&&e.generation.model.base_model==="sdxl"?i=LSe(e,n,r):i=MSe(e,n,r)}return i},zSe=()=>{le({predicate:e=>hg.match(e)&&e.payload==="unifiedCanvas",effect:async(e,{getState:t,dispatch:n,take:r})=>{const i=re("session"),o=t(),{layerState:s,boundingBoxCoordinates:a,boundingBoxDimensions:l,isMaskEnabled:u,shouldPreserveMaskedArea:c}=o.canvas,d=await RE(s,a,l,u,c);if(!d){i.error("Unable to create canvas data");return}const{baseBlob:f,baseImageData:h,maskBlob:p,maskImageData:m}=d,b=PSe(h,m);if(o.system.enableImageDebugging){const C=await PP(f),x=await PP(p);TSe([{base64:x,caption:"mask b64"},{base64:C,caption:"image b64"}])}i.debug(`Generation mode: ${b}`);let _,y;["img2img","inpaint","outpaint"].includes(b)&&(_=await n(ne.endpoints.uploadImage.initiate({file:new File([f],"canvasInitImage.png",{type:"image/png"}),image_category:"general",is_intermediate:!0})).unwrap()),["inpaint","outpaint"].includes(b)&&(y=await n(ne.endpoints.uploadImage.initiate({file:new File([p],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!0})).unwrap());const g=BSe(o,b,_,y);i.debug({graph:kt(g)},"Canvas graph built"),n(lF(g));const{requestId:v}=n(er({graph:g})),[S]=await r(C=>er.fulfilled.match(C)&&C.meta.requestId===v),w=S.payload.id;["img2img","inpaint"].includes(b)&&_&&n(ne.endpoints.changeImageSessionId.initiate({imageDTO:_,session_id:w})),["inpaint"].includes(b)&&y&&n(ne.endpoints.changeImageSessionId.initiate({imageDTO:y,session_id:w})),o.canvas.layerState.stagingArea.boundingBox||n(nne({sessionId:w,boundingBox:{...o.canvas.boundingBoxCoordinates,...o.canvas.boundingBoxDimensions}})),n(rne(w)),n(Nu())}})},USe=e=>{const t=re("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,initialImage:l,img2imgStrength:u,shouldFitToWidthHeight:c,width:d,height:f,clipSkip:h,shouldUseCpuNoise:p,shouldUseNoiseSettings:m,vaePrecision:b,seamlessXAxis:_,seamlessYAxis:y}=e.generation;if(!l)throw t.error("No initial image found in state"),new Error("No initial image found in state");if(!i)throw t.error("No model found in state"),new Error("No model found in state");let g=pl;const 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location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=x2e(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=zB,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new M2e[t](r)}open(){let t;if(this.opts.rememberUpgrade&&dc.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;dc.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",d=>{if(!r)if(d.type==="pong"&&d.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;dc.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(c(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const f=new Error("probe error");f.transport=n.name,this.emitReserved("upgradeError",f)}}))};function o(){r||(r=!0,c(),n.close(),n=null)}const s=d=>{const f=new Error("probe error: "+d);f.transport=n.name,o(),this.emitReserved("upgradeError",f)};function a(){s("transport closed")}function l(){s("socket closed")}function u(d){n&&d.name!==n.name&&o()}const c=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",dc.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t{this.onClose("ping 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r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){dc.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;rtypeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,qB=Object.prototype.toString,U2e=typeof Blob=="function"||typeof Blob<"u"&&qB.call(Blob)==="[object BlobConstructor]",j2e=typeof File=="function"||typeof File<"u"&&qB.call(File)==="[object FileConstructor]";function jE(e){return B2e&&(e instanceof ArrayBuffer||z2e(e))||U2e&&e instanceof Blob||j2e&&e instanceof File}function T0(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n=0&&e.num{delete this.acks[t];for(let s=0;s{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 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r=this.isDragging;if(this.cancel(),!r)return;const{velocity:i}=n;this.startAnimation(i);const{onDragEnd:o}=this.getProps();o&&St.update(()=>o(t,n))}cancel(){this.isDragging=!1;const{projection:t,animationState:n}=this.visualElement;t&&(t.isAnimationBlocked=!1),this.panSession&&this.panSession.end(),this.panSession=void 0;const{dragPropagation:r}=this.getProps();!r&&this.openGlobalLock&&(this.openGlobalLock(),this.openGlobalLock=null),n&&n.setActive("whileDrag",!1)}updateAxis(t,n,r){const{drag:i}=this.getProps();if(!r||!Xm(t,i,this.currentDirection))return;const o=this.getAxisMotionValue(t);let s=this.originPoint[t]+r[t];this.constraints&&this.constraints[t]&&(s=vEe(s,this.constraints[t],this.elastic[t])),o.set(s)}resolveConstraints(){const{dragConstraints:t,dragElastic:n}=this.getProps(),{layout:r}=this.visualElement.projection||{},i=this.constraints;t&&Ac(t)?this.constraints||(this.constraints=this.resolveRefConstraints()):t&&r?this.constraints=_Ee(r.layoutBox,t):this.constraints=!1,this.elastic=xEe(n),i!==this.constraints&&r&&this.constraints&&!this.hasMutatedConstraints&&Co(o=>{this.getAxisMotionValue(o)&&(this.constraints[o]=wEe(r.layoutBox[o],this.constraints[o]))})}resolveRefConstraints(){const{dragConstraints:t,onMeasureDragConstraints:n}=this.getProps();if(!t||!Ac(t))return!1;const r=t.current,{projection:i}=this.visualElement;if(!i||!i.layout)return!1;const o=PEe(r,i.root,this.visualElement.getTransformPagePoint());let s=bEe(i.layout.layoutBox,o);if(n){const a=n(CEe(s));this.hasMutatedConstraints=!!a,a&&(s=CU(a))}return s}startAnimation(t){const{drag:n,dragMomentum:r,dragElastic:i,dragTransition:o,dragSnapToOrigin:s,onDragTransitionEnd:a}=this.getProps(),l=this.constraints||{},u=Co(c=>{if(!Xm(c,n,this.currentDirection))return;let d=l&&l[c]||{};s&&(d={min:0,max:0});const f=i?200:1e6,h=i?40:1e7,p={type:"inertia",velocity:r?t[c]:0,bounceStiffness:f,bounceDamping:h,timeConstant:750,restDelta:1,restSpeed:10,...o,...d};return this.startAxisValueAnimation(c,p)});return Promise.all(u).then(a)}startAxisValueAnimation(t,n){const r=this.getAxisMotionValue(t);return r.start(v4(t,r,0,n))}stopAnimation(){Co(t=>this.getAxisMotionValue(t).stop())}getAxisMotionValue(t){const n="_drag"+t.toUpperCase(),r=this.visualElement.getProps(),i=r[n];return i||this.visualElement.getValue(t,(r.initial?r.initial[t]:void 0)||0)}snapToCursor(t){Co(n=>{const{drag:r}=this.getProps();if(!Xm(n,r,this.currentDirection))return;const{projection:i}=this.visualElement,o=this.getAxisMotionValue(n);if(i&&i.layout){const{min:s,max:a}=i.layout.layoutBox[n];o.set(t[n]-qt(s,a,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!Ac(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};Co(s=>{const a=this.getAxisMotionValue(s);if(a){const l=a.get();i[s]=SEe({min:l,max:l},this.constraints[s])}});const{transformTemplate:o}=this.visualElement.getProps();this.visualElement.current.style.transform=o?o({},""):"none",r.root&&r.root.updateScroll(),r.updateLayout(),this.resolveConstraints(),Co(s=>{if(!Xm(s,t,null))return;const a=this.getAxisMotionValue(s),{min:l,max:u}=this.constraints[s];a.set(qt(l,u,i[s]))})}addListeners(){if(!this.visualElement.current)return;OEe.set(this.visualElement,this);const t=this.visualElement.current,n=Ps(t,"pointerdown",l=>{const{drag:u,dragListener:c=!0}=this.getProps();u&&c&&this.start(l)}),r=()=>{const{dragConstraints:l}=this.getProps();Ac(l)&&(this.constraints=this.resolveRefConstraints())},{projection:i}=this.visualElement,o=i.addEventListener("measure",r);i&&!i.layout&&(i.root&&i.root.updateScroll(),i.updateLayout()),r();const s=Cs(window,"resize",()=>this.scalePositionWithinConstraints()),a=i.addEventListener("didUpdate",({delta:l,hasLayoutChanged:u})=>{this.isDragging&&u&&(Co(c=>{const d=this.getAxisMotionValue(c);d&&(this.originPoint[c]+=l[c].translate,d.set(d.get()+l[c].translate))}),this.visualElement.render())});return()=>{s(),n(),o(),a&&a()}}getProps(){const t=this.visualElement.getProps(),{drag:n=!1,dragDirectionLock:r=!1,dragPropagation:i=!1,dragConstraints:o=!1,dragElastic:s=RC,dragMomentum:a=!0}=t;return{...t,drag:n,dragDirectionLock:r,dragPropagation:i,dragConstraints:o,dragElastic:s,dragMomentum:a}}}function Xm(e,t,n){return(t===!0||t===e)&&(n===null||n===e)}function IEe(e,t=10){let n=null;return Math.abs(e.y)>t?n="y":Math.abs(e.x)>t&&(n="x"),n}class MEe extends yl{constructor(t){super(t),this.removeGroupControls=tn,this.removeListeners=tn,this.controls=new REe(t)}mount(){const{dragControls:t}=this.node.getProps();t&&(this.removeGroupControls=t.subscribe(this.controls)),this.removeListeners=this.controls.addListeners()||tn}unmount(){this.removeGroupControls(),this.removeListeners()}}const BO=e=>(t,n)=>{e&&St.update(()=>e(t,n))};class NEe extends yl{constructor(){super(...arguments),this.removePointerDownListener=tn}onPointerDown(t){this.session=new wU(t,this.createPanHandlers(),{transformPagePoint:this.node.getTransformPagePoint()})}createPanHandlers(){const{onPanSessionStart:t,onPanStart:n,onPan:r,onPanEnd:i}=this.node.getProps();return{onSessionStart:BO(t),onStart:BO(n),onMove:r,onEnd:(o,s)=>{delete this.session,i&&St.update(()=>i(o,s))}}}mount(){this.removePointerDownListener=Ps(this.node.current,"pointerdown",t=>this.onPointerDown(t))}update(){this.session&&this.session.updateHandlers(this.createPanHandlers())}unmount(){this.removePointerDownListener(),this.session&&this.session.end()}}function DEe(){const e=I.useContext(Tg);if(e===null)return[!0,null];const{isPresent:t,onExitComplete:n,register:r}=e,i=I.useId();return I.useEffect(()=>r(i),[]),!t&&n?[!1,()=>n&&n(i)]:[!0]}function H9e(){return LEe(I.useContext(Tg))}function LEe(e){return e===null?!0:e.isPresent}const N0={hasAnimatedSinceResize:!0,hasEverUpdated:!1};function zO(e,t){return t.max===t.min?0:e/(t.max-t.min)*100}const Rf={correct:(e,t)=>{if(!t.target)return e;if(typeof e=="string")if(Ce.test(e))e=parseFloat(e);else return e;const n=zO(e,t.target.x),r=zO(e,t.target.y);return`${n}% ${r}%`}},$Ee={correct:(e,{treeScale:t,projectionDelta:n})=>{const r=e,i=Ja.parse(e);if(i.length>5)return r;const o=Ja.createTransformer(e),s=typeof i[0]!="number"?1:0,a=n.x.scale*t.x,l=n.y.scale*t.y;i[0+s]/=a,i[1+s]/=l;const u=qt(a,l,.5);return typeof i[2+s]=="number"&&(i[2+s]/=u),typeof i[3+s]=="number"&&(i[3+s]/=u),o(i)}};class FEe extends dt.Component{componentDidMount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r,layoutId:i}=this.props,{projection:o}=t;GCe(BEe),o&&(n.group&&n.group.add(o),r&&r.register&&i&&r.register(o),o.root.didUpdate(),o.addEventListener("animationComplete",()=>{this.safeToRemove()}),o.setOptions({...o.options,onExitComplete:()=>this.safeToRemove()})),N0.hasEverUpdated=!0}getSnapshotBeforeUpdate(t){const{layoutDependency:n,visualElement:r,drag:i,isPresent:o}=this.props,s=r.projection;return s&&(s.isPresent=o,i||t.layoutDependency!==n||n===void 0?s.willUpdate():this.safeToRemove(),t.isPresent!==o&&(o?s.promote():s.relegate()||St.postRender(()=>{const a=s.getStack();(!a||!a.members.length)&&this.safeToRemove()}))),null}componentDidUpdate(){const{projection:t}=this.props.visualElement;t&&(t.root.didUpdate(),queueMicrotask(()=>{!t.currentAnimation&&t.isLead()&&this.safeToRemove()}))}componentWillUnmount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r}=this.props,{projection:i}=t;i&&(i.scheduleCheckAfterUnmount(),n&&n.group&&n.group.remove(i),r&&r.deregister&&r.deregister(i))}safeToRemove(){const{safeToRemove:t}=this.props;t&&t()}render(){return null}}function kU(e){const[t,n]=DEe(),r=I.useContext(i4);return dt.createElement(FEe,{...e,layoutGroup:r,switchLayoutGroup:I.useContext(xz),isPresent:t,safeToRemove:n})}const BEe={borderRadius:{...Rf,applyTo:["borderTopLeftRadius","borderTopRightRadius","borderBottomLeftRadius","borderBottomRightRadius"]},borderTopLeftRadius:Rf,borderTopRightRadius:Rf,borderBottomLeftRadius:Rf,borderBottomRightRadius:Rf,boxShadow:$Ee},PU=["TopLeft","TopRight","BottomLeft","BottomRight"],zEe=PU.length,UO=e=>typeof e=="string"?parseFloat(e):e,jO=e=>typeof e=="number"||Ce.test(e);function UEe(e,t,n,r,i,o){i?(e.opacity=qt(0,n.opacity!==void 0?n.opacity:1,jEe(r)),e.opacityExit=qt(t.opacity!==void 0?t.opacity:1,0,VEe(r))):o&&(e.opacity=qt(t.opacity!==void 0?t.opacity:1,n.opacity!==void 0?n.opacity:1,r));for(let s=0;srt?1:n(Ip(e,t,r))}function GO(e,t){e.min=t.min,e.max=t.max}function _i(e,t){GO(e.x,t.x),GO(e.y,t.y)}function HO(e,t,n,r,i){return e-=t,e=Sv(e,1/n,r),i!==void 0&&(e=Sv(e,1/i,r)),e}function GEe(e,t=0,n=1,r=.5,i,o=e,s=e){if(Ho.test(t)&&(t=parseFloat(t),t=qt(s.min,s.max,t/100)-s.min),typeof t!="number")return;let a=qt(o.min,o.max,r);e===o&&(a-=t),e.min=HO(e.min,t,n,a,i),e.max=HO(e.max,t,n,a,i)}function WO(e,t,[n,r,i],o,s){GEe(e,t[n],t[r],t[i],t.scale,o,s)}const HEe=["x","scaleX","originX"],WEe=["y","scaleY","originY"];function qO(e,t,n,r){WO(e.x,t,HEe,n?n.x:void 0,r?r.x:void 0),WO(e.y,t,WEe,n?n.y:void 0,r?r.y:void 0)}function KO(e){return e.translate===0&&e.scale===1}function RU(e){return KO(e.x)&&KO(e.y)}function qEe(e,t){return e.x.min===t.x.min&&e.x.max===t.x.max&&e.y.min===t.y.min&&e.y.max===t.y.max}function IU(e,t){return Math.round(e.x.min)===Math.round(t.x.min)&&Math.round(e.x.max)===Math.round(t.x.max)&&Math.round(e.y.min)===Math.round(t.y.min)&&Math.round(e.y.max)===Math.round(t.y.max)}function XO(e){return li(e.x)/li(e.y)}class KEe{constructor(){this.members=[]}add(t){_4(this.members,t),t.scheduleRender()}remove(t){if(b4(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(i=>t===i);if(n===0)return!1;let r;for(let i=n;i>=0;i--){const o=this.members[i];if(o.isPresent!==!1){r=o;break}}return r?(this.promote(r),!0):!1}promote(t,n){const r=this.lead;if(t!==r&&(this.prevLead=r,this.lead=t,t.show(),r)){r.instance&&r.scheduleRender(),t.scheduleRender(),t.resumeFrom=r,n&&(t.resumeFrom.preserveOpacity=!0),r.snapshot&&(t.snapshot=r.snapshot,t.snapshot.latestValues=r.animationValues||r.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&r.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:r}=t;n.onExitComplete&&n.onExitComplete(),r&&r.options.onExitComplete&&r.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function YO(e,t,n){let r="";const i=e.x.translate/t.x,o=e.y.translate/t.y;if((i||o)&&(r=`translate3d(${i}px, ${o}px, 0) 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Ml={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0};function MU({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:i}){return class{constructor(s={},a=t==null?void 0:t()){this.id=t4e++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Ml.totalNodes=Ml.resolvedTargetDeltas=Ml.recalculatedProjection=0,this.nodes.forEach(i4e),this.nodes.forEach(u4e),this.nodes.forEach(c4e),this.nodes.forEach(o4e),QEe(Ml)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;lthis.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,d&&d(),d=ZEe(f,250),N0.hasAnimatedSinceResize&&(N0.hasAnimatedSinceResize=!1,this.nodes.forEach(eR))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&c&&(l||u)&&this.addEventListener("didUpdate",({delta:d,hasLayoutChanged:f,hasRelativeTargetChanged:h,layout:p})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const m=this.options.transition||c.getDefaultTransition()||g4e,{onLayoutAnimationStart:b,onLayoutAnimationComplete:_}=c.getProps(),y=!this.targetLayout||!IU(this.targetLayout,p)||h,g=!f&&h;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||g||f&&(y||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(d,g);const v={...yU(m,"layout"),onPlay:b,onComplete:_};(c.shouldReduceMotion||this.options.layoutRoot)&&(v.delay=0,v.type=!1),this.startAnimation(v)}else f||eR(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=p})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,zs(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(d4e),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let c=0;cthis.update()))}clearAllSnapshots(){this.nodes.forEach(s4e),this.sharedNodes.forEach(f4e)}scheduleUpdateProjection(){St.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){St.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l{const S=v/1e3;tR(d.x,s.x,S),tR(d.y,s.y,S),this.setTargetDelta(d),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(dh(f,this.layout.layoutBox,this.relativeParent.layout.layoutBox),h4e(this.relativeTarget,this.relativeTargetOrigin,f,S),g&&qEe(this.relativeTarget,g)&&(this.isProjectionDirty=!1),g||(g=fn()),_i(g,this.relativeTarget)),m&&(this.animationValues=c,UEe(c,u,this.latestValues,S,y,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=S},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(zs(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=St.update(()=>{N0.hasAnimatedSinceResize=!0,this.currentAnimation=e4e(0,QO,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(QO),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:c}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&NU(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||fn();const d=li(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+d;const f=li(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+f}_i(a,l),Oc(a,c),ch(this.projectionDeltaWithTransform,this.layoutCorrected,a,c)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new KEe),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let c=0;c{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(JO),this.root.sharedNodes.clear()}}}function n4e(e){e.updateLayout()}function r4e(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?Co(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=li(f);f.min=r[d].min,f.max=f.min+h}):NU(o,n.layoutBox,r)&&Co(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=li(r[d]);f.max=f.min+h,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[d].max=e.relativeTarget[d].min+h)});const a=Pc();ch(a,r,n.layoutBox);const l=Pc();s?ch(l,e.applyTransform(i,!0),n.measuredBox):ch(l,r,n.layoutBox);const u=!RU(a);let c=!1;if(!e.resumeFrom){const d=e.getClosestProjectingParent();if(d&&!d.resumeFrom){const{snapshot:f,layout:h}=d;if(f&&h){const p=fn();dh(p,n.layoutBox,f.layoutBox);const m=fn();dh(m,r,h.layoutBox),IU(p,m)||(c=!0),d.options.layoutRoot&&(e.relativeTarget=m,e.relativeTargetOrigin=p,e.relativeParent=d)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:c})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function i4e(e){Ml.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function o4e(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function s4e(e){e.clearSnapshot()}function JO(e){e.clearMeasurements()}function a4e(e){e.isLayoutDirty=!1}function l4e(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function eR(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function u4e(e){e.resolveTargetDelta()}function c4e(e){e.calcProjection()}function d4e(e){e.resetRotation()}function f4e(e){e.removeLeadSnapshot()}function tR(e,t,n){e.translate=qt(t.translate,0,n),e.scale=qt(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function nR(e,t,n,r){e.min=qt(t.min,n.min,r),e.max=qt(t.max,n.max,r)}function h4e(e,t,n,r){nR(e.x,t.x,n.x,r),nR(e.y,t.y,n.y,r)}function p4e(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const g4e={duration:.45,ease:[.4,0,.1,1]},rR=e=>typeof navigator<"u"&&navigator.userAgent.toLowerCase().includes(e),iR=rR("applewebkit/")&&!rR("chrome/")?Math.round:tn;function oR(e){e.min=iR(e.min),e.max=iR(e.max)}function m4e(e){oR(e.x),oR(e.y)}function NU(e,t,n){return e==="position"||e==="preserve-aspect"&&!OC(XO(t),XO(n),.2)}const 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i!==e&&o6e(i,o)&&n.push(i),i6e(i,o)?n:r(i.parentNode)}return e?r(e):n}function tj(e){const[t]=A4(e,1);return t??null}function X2(e){return!Cb||!e?null:ef(e)?e:C4(e)?E4(e)||e===tf(e).scrollingElement?window:Rg(e)?e:null:null}function nj(e){return ef(e)?e.scrollX:e.scrollLeft}function rj(e){return ef(e)?e.scrollY:e.scrollTop}function VC(e){return{x:nj(e),y:rj(e)}}var Nn;(function(e){e[e.Forward=1]="Forward",e[e.Backward=-1]="Backward"})(Nn||(Nn={}));function ij(e){return!Cb||!e?!1:e===document.scrollingElement}function oj(e){const t={x:0,y:0},n=ij(e)?{height:window.innerHeight,width:window.innerWidth}:{height:e.clientHeight,width:e.clientWidth},r={x:e.scrollWidth-n.width,y:e.scrollHeight-n.height},i=e.scrollTop<=t.y,o=e.scrollLeft<=t.x,s=e.scrollTop>=r.y,a=e.scrollLeft>=r.x;return{isTop:i,isLeft:o,isBottom:s,isRight:a,maxScroll:r,minScroll:t}}const s6e={x:.2,y:.2};function a6e(e,t,n,r,i){let{top:o,left:s,right:a,bottom:l}=n;r===void 0&&(r=10),i===void 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0&&(t=Mg),!e)return;const{top:n,left:r,bottom:i,right:o}=t(e);tj(e)&&(i<=0||o<=0||n>=window.innerHeight||r>=window.innerWidth)&&e.scrollIntoView({block:"center",inline:"center"})}const d6e=[["x",["left","right"],u6e],["y",["top","bottom"],c6e]];class k4{constructor(t,n){this.rect=void 0,this.width=void 0,this.height=void 0,this.top=void 0,this.bottom=void 0,this.right=void 0,this.left=void 0;const r=A4(n),i=sj(r);this.rect={...t},this.width=t.width,this.height=t.height;for(const[o,s,a]of d6e)for(const l of s)Object.defineProperty(this,l,{get:()=>{const u=a(r),c=i[o]-u;return this.rect[l]+c},enumerable:!0});Object.defineProperty(this,"rect",{enumerable:!1})}}class fh{constructor(t){this.target=void 0,this.listeners=[],this.removeAll=()=>{this.listeners.forEach(n=>{var r;return(r=this.target)==null?void 0:r.removeEventListener(...n)})},this.target=t}add(t,n,r){var i;(i=this.target)==null||i.addEventListener(t,n,r),this.listeners.push([t,n,r])}}function f6e(e){const{EventTarget:t}=Ir(e);return e instanceof t?e:tf(e)}function Y2(e,t){const n=Math.abs(e.x),r=Math.abs(e.y);return typeof t=="number"?Math.sqrt(n**2+r**2)>t:"x"in t&&"y"in t?n>t.x&&r>t.y:"x"in t?n>t.x:"y"in t?r>t.y:!1}var Si;(function(e){e.Click="click",e.DragStart="dragstart",e.Keydown="keydown",e.ContextMenu="contextmenu",e.Resize="resize",e.SelectionChange="selectionchange",e.VisibilityChange="visibilitychange"})(Si||(Si={}));function _R(e){e.preventDefault()}function h6e(e){e.stopPropagation()}var _t;(function(e){e.Space="Space",e.Down="ArrowDown",e.Right="ArrowRight",e.Left="ArrowLeft",e.Up="ArrowUp",e.Esc="Escape",e.Enter="Enter"})(_t||(_t={}));const lj={start:[_t.Space,_t.Enter],cancel:[_t.Esc],end:[_t.Space,_t.Enter]},p6e=(e,t)=>{let{currentCoordinates:n}=t;switch(e.code){case _t.Right:return{...n,x:n.x+25};case _t.Left:return{...n,x:n.x-25};case _t.Down:return{...n,y:n.y+25};case _t.Up:return{...n,y:n.y-25}}};class uj{constructor(t){this.props=void 0,this.autoScrollEnabled=!1,this.referenceCoordinates=void 0,this.listeners=void 0,this.windowListeners=void 0,this.props=t;const{event:{target:n}}=t;this.props=t,this.listeners=new fh(tf(n)),this.windowListeners=new fh(Ir(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(Si.Resize,this.handleCancel),this.windowListeners.add(Si.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(Si.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,r=t.node.current;r&&aj(r),n(ho)}handleKeyDown(t){if(T4(t)){const{active:n,context:r,options:i}=this.props,{keyboardCodes:o=lj,coordinateGetter:s=p6e,scrollBehavior:a="smooth"}=i,{code:l}=t;if(o.end.includes(l)){this.handleEnd(t);return}if(o.cancel.includes(l)){this.handleCancel(t);return}const{collisionRect:u}=r.current,c=u?{x:u.left,y:u.top}:ho;this.referenceCoordinates||(this.referenceCoordinates=c);const d=s(t,{active:n,context:r.current,currentCoordinates:c});if(d){const f=Av(d,c),h={x:0,y:0},{scrollableAncestors:p}=r.current;for(const m of p){const b=t.code,{isTop:_,isRight:y,isLeft:g,isBottom:v,maxScroll:S,minScroll:w}=oj(m),C=l6e(m),x={x:Math.min(b===_t.Right?C.right-C.width/2:C.right,Math.max(b===_t.Right?C.left:C.left+C.width/2,d.x)),y:Math.min(b===_t.Down?C.bottom-C.height/2:C.bottom,Math.max(b===_t.Down?C.top:C.top+C.height/2,d.y))},A=b===_t.Right&&!y||b===_t.Left&&!g,T=b===_t.Down&&!v||b===_t.Up&&!_;if(A&&x.x!==d.x){const P=m.scrollLeft+f.x,L=b===_t.Right&&P<=S.x||b===_t.Left&&P>=w.x;if(L&&!f.y){m.scrollTo({left:P,behavior:a});return}L?h.x=m.scrollLeft-P:h.x=b===_t.Right?m.scrollLeft-S.x:m.scrollLeft-w.x,h.x&&m.scrollBy({left:-h.x,behavior:a});break}else if(T&&x.y!==d.y){const P=m.scrollTop+f.y,L=b===_t.Down&&P<=S.y||b===_t.Up&&P>=w.y;if(L&&!f.x){m.scrollTo({top:P,behavior:a});return}L?h.y=m.scrollTop-P:h.y=b===_t.Down?m.scrollTop-S.y:m.scrollTop-w.y,h.y&&m.scrollBy({top:-h.y,behavior:a});break}}this.handleMove(t,ed(Av(d,this.referenceCoordinates),h))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}uj.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=lj,onActivation:i}=t,{active:o}=n;const{code:s}=e.nativeEvent;if(r.start.includes(s)){const a=o.activatorNode.current;return a&&e.target!==a?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function bR(e){return!!(e&&"distance"in e)}function SR(e){return!!(e&&"delay"in e)}class P4{constructor(t,n,r){var i;r===void 0&&(r=f6e(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=tf(s),this.documentListeners=new fh(this.document),this.listeners=new fh(r),this.windowListeners=new fh(Ir(s)),this.initialCoordinates=(i=Lp(o))!=null?i:ho,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(Si.Resize,this.handleCancel),this.windowListeners.add(Si.DragStart,_R),this.windowListeners.add(Si.VisibilityChange,this.handleCancel),this.windowListeners.add(Si.ContextMenu,_R),this.documentListeners.add(Si.Keydown,this.handleKeydown),n){if(bR(n))return;if(SR(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(Si.Click,h6e,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(Si.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=Lp(t))!=null?n:ho,u=Av(i,l);if(!r&&a){if(SR(a))return Y2(u,a.tolerance)?this.handleCancel():void 0;if(bR(a))return a.tolerance!=null&&Y2(u,a.tolerance)?this.handleCancel():Y2(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===_t.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const g6e={move:{name:"pointermove"},end:{name:"pointerup"}};class cj extends P4{constructor(t){const{event:n}=t,r=tf(n.target);super(t,g6e,r)}}cj.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const m6e={move:{name:"mousemove"},end:{name:"mouseup"}};var GC;(function(e){e[e.RightClick=2]="RightClick"})(GC||(GC={}));class dj extends P4{constructor(t){super(t,m6e,tf(t.event.target))}}dj.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===GC.RightClick?!1:(r==null||r({event:n}),!0)}}];const Z2={move:{name:"touchmove"},end:{name:"touchend"}};class fj extends P4{constructor(t){super(t,Z2)}static setup(){return window.addEventListener(Z2.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(Z2.move.name,t)};function t(){}}}fj.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var hh;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(hh||(hh={}));var Pv;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(Pv||(Pv={}));function y6e(e){let{acceleration:t,activator:n=hh.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=Pv.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:c,delta:d,threshold:f}=e;const h=_6e({delta:d,disabled:!o}),[p,m]=ATe(),b=I.useRef({x:0,y:0}),_=I.useRef({x:0,y:0}),y=I.useMemo(()=>{switch(n){case hh.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case hh.DraggableRect:return i}},[n,i,l]),g=I.useRef(null),v=I.useCallback(()=>{const w=g.current;if(!w)return;const C=b.current.x*_.current.x,x=b.current.y*_.current.y;w.scrollBy(C,x)},[]),S=I.useMemo(()=>a===Pv.TreeOrder?[...u].reverse():u,[a,u]);I.useEffect(()=>{if(!o||!u.length||!y){m();return}for(const w of S){if((r==null?void 0:r(w))===!1)continue;const C=u.indexOf(w),x=c[C];if(!x)continue;const{direction:A,speed:T}=a6e(w,x,y,t,f);for(const P of["x","y"])h[P][A[P]]||(T[P]=0,A[P]=0);if(T.x>0||T.y>0){m(),g.current=w,p(v,s),b.current=T,_.current=A;return}}b.current={x:0,y:0},_.current={x:0,y:0},m()},[t,v,r,m,o,s,JSON.stringify(y),JSON.stringify(h),p,u,S,c,JSON.stringify(f)])}const v6e={x:{[Nn.Backward]:!1,[Nn.Forward]:!1},y:{[Nn.Backward]:!1,[Nn.Forward]:!1}};function _6e(e){let{delta:t,disabled:n}=e;const r=Tv(t);return Ig(i=>{if(n||!r||!i)return v6e;const o={x:Math.sign(t.x-r.x),y:Math.sign(t.y-r.y)};return{x:{[Nn.Backward]:i.x[Nn.Backward]||o.x===-1,[Nn.Forward]:i.x[Nn.Forward]||o.x===1},y:{[Nn.Backward]:i.y[Nn.Backward]||o.y===-1,[Nn.Forward]:i.y[Nn.Forward]||o.y===1}}},[n,t,r])}function b6e(e,t){const n=t!==null?e.get(t):void 0,r=n?n.node.current:null;return Ig(i=>{var o;return t===null?null:(o=r??i)!=null?o:null},[r,t])}function S6e(e,t){return I.useMemo(()=>e.reduce((n,r)=>{const{sensor:i}=r,o=i.activators.map(s=>({eventName:s.eventName,handler:t(s.handler,r)}));return[...n,...o]},[]),[e,t])}var Fp;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(Fp||(Fp={}));var HC;(function(e){e.Optimized="optimized"})(HC||(HC={}));const wR=new Map;function w6e(e,t){let{dragging:n,dependencies:r,config:i}=t;const[o,s]=I.useState(null),{frequency:a,measure:l,strategy:u}=i,c=I.useRef(e),d=b(),f=Dp(d),h=I.useCallback(function(_){_===void 0&&(_=[]),!f.current&&s(y=>y===null?_:y.concat(_.filter(g=>!y.includes(g))))},[f]),p=I.useRef(null),m=Ig(_=>{if(d&&!n)return wR;if(!_||_===wR||c.current!==e||o!=null){const y=new Map;for(let g of e){if(!g)continue;if(o&&o.length>0&&!o.includes(g.id)&&g.rect.current){y.set(g.id,g.rect.current);continue}const v=g.node.current,S=v?new k4(l(v),v):null;g.rect.current=S,S&&y.set(g.id,S)}return y}return _},[e,o,n,d,l]);return I.useEffect(()=>{c.current=e},[e]),I.useEffect(()=>{d||h()},[n,d]),I.useEffect(()=>{o&&o.length>0&&s(null)},[JSON.stringify(o)]),I.useEffect(()=>{d||typeof 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0&&(t=Mg);const[n]=e,r=hj(n?Ir(n):null),[i,o]=I.useReducer(a,Q2),s=Ab({callback:o});return e.length>0&&i===Q2&&o(),Yo(()=>{e.length?e.forEach(l=>s==null?void 0:s.observe(l)):(s==null||s.disconnect(),o())},[e]),i;function a(){return e.length?e.map(l=>ij(l)?r:new k4(t(l),l)):Q2}}function pj(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return Rg(t)?t:e}function I6e(e){let{measure:t}=e;const[n,r]=I.useState(null),i=I.useCallback(u=>{for(const{target:c}of u)if(Rg(c)){r(d=>{const f=t(c);return d?{...d,width:f.width,height:f.height}:f});break}},[t]),o=Ab({callback:i}),s=I.useCallback(u=>{const c=pj(u);o==null||o.disconnect(),c&&(o==null||o.observe(c)),r(c?t(c):null)},[t,o]),[a,l]=Ev(s);return I.useMemo(()=>({nodeRef:a,rect:n,setRef:l}),[n,a,l])}const M6e=[{sensor:cj,options:{}},{sensor:uj,options:{}}],N6e={current:{}},D0={draggable:{measure:vR},droppable:{measure:vR,strategy:Fp.WhileDragging,frequency:HC.Optimized},dragOverlay:{measure:Mg}};class ph extends 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jn({active:E.current,activeNode:nr,event:yr,options:Tn,context:oe,onStart(vr){const Vn=E.current;if(Vn==null)return;const ns=x.get(Vn);if(!ns)return;const{onDragStart:Ks}=O.current,Xs={active:{id:Vn,data:ns.data,rect:L}};Zi.unstable_batchedUpdates(()=>{Ks==null||Ks(Xs),S(ua.Initializing),_({type:bn.DragStart,initialCoordinates:vr,active:Vn}),y({type:"onDragStart",event:Xs})})},onMove(vr){_({type:bn.DragMove,coordinates:vr})},onEnd:vo(bn.DragEnd),onCancel:vo(bn.DragCancel)});Zi.unstable_batchedUpdates(()=>{N(Nr),M(jt.nativeEvent)});function vo(vr){return async function(){const{active:ns,collisions:Ks,over:Xs,scrollAdjustedTranslate:Fu}=oe.current;let rs=null;if(ns&&Fu){const{cancelDrop:_r}=O.current;rs={activatorEvent:yr,active:ns,collisions:Ks,delta:Fu,over:Xs},vr===bn.DragEnd&&typeof _r=="function"&&await Promise.resolve(_r(rs))&&(vr=bn.DragCancel)}E.current=null,Zi.unstable_batchedUpdates(()=>{_({type:vr}),S(ua.Uninitialized),Kr(null),N(null),M(null);const 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yr={active:pt,activatorEvent:jn,collisions:Tn,delta:{x:tr.x,y:tr.y},over:nr};Zi.unstable_batchedUpdates(()=>{jt==null||jt(yr),y({type:"onDragMove",event:yr})})},[tr.x,tr.y]),I.useEffect(()=>{const{active:jt,activatorEvent:pt,collisions:jn,droppableContainers:Tn,scrollAdjustedTranslate:nr}=oe.current;if(!jt||E.current==null||!pt||!nr)return;const{onDragOver:yr}=O.current,Nr=Tn.get(Qt),vo=Nr&&Nr.rect.current?{id:Nr.id,rect:Nr.rect.current,data:Nr.data,disabled:Nr.disabled}:null,vr={active:jt,activatorEvent:pt,collisions:jn,delta:{x:nr.x,y:nr.y},over:vo};Zi.unstable_batchedUpdates(()=>{Kr(vo),yr==null||yr(vr),y({type:"onDragOver",event:vr})})},[Qt]),Yo(()=>{oe.current={activatorEvent:$,active:R,activeNode:Z,collisionRect:zn,collisions:mr,droppableRects:V,draggableNodes:x,draggingNode:_e,draggingNodeRect:je,droppableContainers:T,over:xt,scrollableAncestors:Zt,scrollAdjustedTranslate:tr},L.current={initial:je,translated:zn}},[R,Z,mr,zn,x,_e,je,V,T,xt,Zt,tr]),y6e({...W,delta:A,draggingRect:zn,pointerCoordinates:cn,scrollableAncestors:Zt,scrollableAncestorRects:wt});const vl=I.useMemo(()=>({active:R,activeNode:Z,activeNodeRect:J,activatorEvent:$,collisions:mr,containerNodeRect:se,dragOverlay:Ae,draggableNodes:x,droppableContainers:T,droppableRects:V,over:xt,measureDroppableContainers:q,scrollableAncestors:Zt,scrollableAncestorRects:wt,measuringConfiguration:U,measuringScheduled:X,windowRect:Bn}),[R,Z,J,$,mr,se,Ae,x,T,V,xt,q,Zt,wt,U,X,Bn]),yo=I.useMemo(()=>({activatorEvent:$,activators:Gi,active:R,activeNodeRect:J,ariaDescribedById:{draggable:D},dispatch:_,draggableNodes:x,over:xt,measureDroppableContainers:q}),[$,Gi,R,J,_,D,x,xt,q]);return dt.createElement(QU.Provider,{value:g},dt.createElement(Ng.Provider,{value:yo},dt.createElement(mj.Provider,{value:vl},dt.createElement(kb.Provider,{value:Vi},u)),dt.createElement(F6e,{disabled:(a==null?void 0:a.restoreFocus)===!1})),dt.createElement(zTe,{...a,hiddenTextDescribedById:D}));function _l(){const jt=(k==null?void 0:k.autoScrollEnabled)===!1,pt=typeof l=="object"?l.enabled===!1:l===!1,jn=w&&!jt&&!pt;return 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Ie.bigint;case"symbol":return Ie.symbol;case"object":return Array.isArray(e)?Ie.array:e===null?Ie.null:e.then&&typeof e.then=="function"&&e.catch&&typeof e.catch=="function"?Ie.promise:typeof Map<"u"&&e instanceof Map?Ie.map:typeof Set<"u"&&e instanceof Set?Ie.set:typeof Date<"u"&&e instanceof Date?Ie.date:Ie.object;default:return Ie.unknown}},de=Vt.arrayToEnum(["invalid_type","invalid_literal","custom","invalid_union","invalid_union_discriminator","invalid_enum_value","unrecognized_keys","invalid_arguments","invalid_return_type","invalid_date","invalid_string","too_small","too_big","invalid_intersection_types","not_multiple_of","not_finite"]),gte=e=>JSON.stringify(e,null,2).replace(/"([^"]+)":/g,"$1:");class Os extends Error{constructor(t){super(),this.issues=[],this.addIssue=r=>{this.issues=[...this.issues,r]},this.addIssues=(r=[])=>{this.issues=[...this.issues,...r]};const n=new.target.prototype;Object.setPrototypeOf?Object.setPrototypeOf(this,n):this.__proto__=n,this.name="ZodError",this.issues=t}get errors(){return this.issues}format(t){const n=t||function(o){return o.message},r={_errors:[]},i=o=>{for(const s of o.issues)if(s.code==="invalid_union")s.unionErrors.map(i);else if(s.code==="invalid_return_type")i(s.returnTypeError);else if(s.code==="invalid_arguments")i(s.argumentsError);else if(s.path.length===0)r._errors.push(n(s));else{let a=r,l=0;for(;ln.message){const n={},r=[];for(const i of this.issues)i.path.length>0?(n[i.path[0]]=n[i.path[0]]||[],n[i.path[0]].push(t(i))):r.push(t(i));return{formErrors:r,fieldErrors:n}}get formErrors(){return this.flatten()}}Os.create=e=>new Os(e);const ag=(e,t)=>{let n;switch(e.code){case de.invalid_type:e.received===Ie.undefined?n="Required":n=`Expected ${e.expected}, received ${e.received}`;break;case de.invalid_literal:n=`Invalid literal value, expected ${JSON.stringify(e.expected,Vt.jsonStringifyReplacer)}`;break;case de.unrecognized_keys:n=`Unrecognized key(s) in object: ${Vt.joinValues(e.keys,", ")}`;break;case de.invalid_union:n="Invalid input";break;case de.invalid_union_discriminator:n=`Invalid discriminator value. Expected ${Vt.joinValues(e.options)}`;break;case de.invalid_enum_value:n=`Invalid enum value. Expected ${Vt.joinValues(e.options)}, received '${e.received}'`;break;case de.invalid_arguments:n="Invalid function arguments";break;case de.invalid_return_type:n="Invalid function return type";break;case de.invalid_date:n="Invalid date";break;case de.invalid_string:typeof e.validation=="object"?"includes"in e.validation?(n=`Invalid input: must include "${e.validation.includes}"`,typeof e.validation.position=="number"&&(n=`${n} at one or more positions greater than or equal to ${e.validation.position}`)):"startsWith"in e.validation?n=`Invalid input: must start with "${e.validation.startsWith}"`:"endsWith"in e.validation?n=`Invalid input: must end with "${e.validation.endsWith}"`:Vt.assertNever(e.validation):e.validation!=="regex"?n=`Invalid ${e.validation}`:n="Invalid";break;case de.too_small:e.type==="array"?n=`Array must contain ${e.exact?"exactly":e.inclusive?"at least":"more than"} ${e.minimum} element(s)`:e.type==="string"?n=`String must contain ${e.exact?"exactly":e.inclusive?"at least":"over"} ${e.minimum} character(s)`:e.type==="number"?n=`Number must be ${e.exact?"exactly equal to ":e.inclusive?"greater than or equal to ":"greater than "}${e.minimum}`:e.type==="date"?n=`Date must be ${e.exact?"exactly equal to ":e.inclusive?"greater than or equal to ":"greater than "}${new Date(Number(e.minimum))}`:n="Invalid input";break;case de.too_big:e.type==="array"?n=`Array must contain ${e.exact?"exactly":e.inclusive?"at most":"less than"} ${e.maximum} element(s)`:e.type==="string"?n=`String must contain ${e.exact?"exactly":e.inclusive?"at most":"under"} ${e.maximum} character(s)`:e.type==="number"?n=`Number must be ${e.exact?"exactly":e.inclusive?"less than or equal to":"less than"} ${e.maximum}`:e.type==="bigint"?n=`BigInt must be ${e.exact?"exactly":e.inclusive?"less than or equal to":"less than"} ${e.maximum}`:e.type==="date"?n=`Date must be ${e.exact?"exactly":e.inclusive?"smaller than or equal to":"smaller than"} ${new Date(Number(e.maximum))}`:n="Invalid input";break;case de.custom:n="Invalid input";break;case de.invalid_intersection_types:n="Intersection results could not be merged";break;case de.not_multiple_of:n=`Number must be a multiple of ${e.multipleOf}`;break;case de.not_finite:n="Number must be finite";break;default:n=t.defaultError,Vt.assertNever(e)}return{message:n}};let sD=ag;function mte(e){sD=e}function Dv(){return sD}const Lv=e=>{const{data:t,path:n,errorMaps:r,issueData:i}=e,o=[...n,...i.path||[]],s={...i,path:o};let a="";const l=r.filter(u=>!!u).slice().reverse();for(const u of l)a=u(s,{data:t,defaultError:a}).message;return{...i,path:o,message:i.message||a}},yte=[];function Me(e,t){const n=Lv({issueData:t,data:e.data,path:e.path,errorMaps:[e.common.contextualErrorMap,e.schemaErrorMap,Dv(),ag].filter(r=>!!r)});e.common.issues.push(n)}class Ui{constructor(){this.value="valid"}dirty(){this.value==="valid"&&(this.value="dirty")}abort(){this.value!=="aborted"&&(this.value="aborted")}static mergeArray(t,n){const r=[];for(const i of n){if(i.status==="aborted")return ft;i.status==="dirty"&&t.dirty(),r.push(i.value)}return{status:t.value,value:r}}static async mergeObjectAsync(t,n){const r=[];for(const i of n)r.push({key:await i.key,value:await i.value});return Ui.mergeObjectSync(t,r)}static mergeObjectSync(t,n){const r={};for(const i of n){const{key:o,value:s}=i;if(o.status==="aborted"||s.status==="aborted")return ft;o.status==="dirty"&&t.dirty(),s.status==="dirty"&&t.dirty(),o.value!=="__proto__"&&(typeof s.value<"u"||i.alwaysSet)&&(r[o.value]=s.value)}return{status:t.value,value:r}}}const ft=Object.freeze({status:"aborted"}),aD=e=>({status:"dirty",value:e}),Qi=e=>({status:"valid",value:e}),gC=e=>e.status==="aborted",mC=e=>e.status==="dirty",lg=e=>e.status==="valid",$v=e=>typeof Promise<"u"&&e instanceof Promise;var et;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(et||(et={}));class ya{constructor(t,n,r,i){this._cachedPath=[],this.parent=t,this.data=n,this._path=r,this._key=i}get path(){return this._cachedPath.length||(this._key instanceof Array?this._cachedPath.push(...this._path,...this._key):this._cachedPath.push(...this._path,this._key)),this._cachedPath}}const qk=(e,t)=>{if(lg(t))return{success:!0,data:t.value};if(!e.common.issues.length)throw new Error("Validation failed but no issues detected.");return{success:!1,get error(){if(this._error)return this._error;const n=new Os(e.common.issues);return this._error=n,this._error}}};function vt(e){if(!e)return{};const{errorMap:t,invalid_type_error:n,required_error:r,description:i}=e;if(t&&(n||r))throw new Error(`Can't use "invalid_type_error" or "required_error" in conjunction with custom error map.`);return t?{errorMap:t,description:i}:{errorMap:(s,a)=>s.code!=="invalid_type"?{message:a.defaultError}:typeof a.data>"u"?{message:r??a.defaultError}:{message:n??a.defaultError},description:i}}class wt{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.readonly=this.readonly.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return $l(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:$l(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new Ui,ctx:{common:t.parent.common,data:t.data,parsedType:$l(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if($v(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:$l(t)},o=this._parseSync({data:t,path:i.path,parent:i});return qk(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:$l(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await($v(i)?i:Promise.resolve(i));return qk(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const s=t(i),a=()=>o.addIssue({code:de.custom,...r(i)});return typeof Promise<"u"&&s instanceof Promise?s.then(l=>l?!0:(a(),!1)):s?!0:(a(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new $s({schema:this,typeName:it.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return Qa.create(this,this._def)}nullable(){return Ic.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return Ms.create(this,this._def)}promise(){return Lf.create(this,this._def)}or(t){return fg.create([this,t],this._def)}and(t){return hg.create(this,t,this._def)}transform(t){return new $s({...vt(this._def),schema:this,typeName:it.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new vg({...vt(this._def),innerType:this,defaultValue:n,typeName:it.ZodDefault})}brand(){return new uD({typeName:it.ZodBranded,type:this,...vt(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new Uv({...vt(this._def),innerType:this,catchValue:n,typeName:it.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return xm.create(this,t)}readonly(){return Vv.create(this)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const vte=/^c[^\s-]{8,}$/i,_te=/^[a-z][a-z0-9]*$/,bte=/[0-9A-HJKMNP-TV-Z]{26}/,Ste=/^[0-9a-fA-F]{8}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{12}$/i,wte=/^([A-Z0-9_+-]+\.?)*[A-Z0-9_+-]@([A-Z0-9][A-Z0-9\-]*\.)+[A-Z]{2,}$/i,xte=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,Cte=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,Ete=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,Tte=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function Ate(e,t){return!!((t==="v4"||!t)&&Cte.test(e)||(t==="v6"||!t)&&Ete.test(e))}class ks extends wt{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:de.invalid_string,...et.errToObj(r)}),this.nonempty=t=>this.min(1,et.errToObj(t)),this.trim=()=>new ks({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new ks({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new ks({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==Ie.string){const o=this._getOrReturnCtx(t);return Me(o,{code:de.invalid_type,expected:Ie.string,received:o.parsedType}),ft}const r=new Ui;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.lengtho.value&&(i=this._getOrReturnCtx(t,i),Me(i,{code:de.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...et.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...et.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...et.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...et.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...et.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...et.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...et.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...et.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value{var t;return new ks({checks:[],typeName:it.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...vt(e)})};function kte(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class gu extends wt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==Ie.number){const o=this._getOrReturnCtx(t);return Me(o,{code:de.invalid_type,expected:Ie.number,received:o.parsedType}),ft}let r;const i=new Ui;for(const o of this._def.checks)o.kind==="int"?Vt.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Me(r,{code:de.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.datao.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Me(r,{code:de.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?kte(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Me(r,{code:de.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Me(r,{code:de.not_finite,message:o.message}),i.dirty()):Vt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,et.toString(n))}gt(t,n){return this.setLimit("min",t,!1,et.toString(n))}lte(t,n){return this.setLimit("max",t,!0,et.toString(n))}lt(t,n){return this.setLimit("max",t,!1,et.toString(n))}setLimit(t,n,r,i){return new gu({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:et.toString(i)}]})}_addCheck(t){return new gu({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:et.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:et.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:et.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:et.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:et.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:et.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:et.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:et.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:et.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.valuet.kind==="int"||t.kind==="multipleOf"&&Vt.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.valuenew gu({checks:[],typeName:it.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...vt(e)});class mu extends wt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==Ie.bigint){const o=this._getOrReturnCtx(t);return Me(o,{code:de.invalid_type,expected:Ie.bigint,received:o.parsedType}),ft}let r;const i=new Ui;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.datao.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Me(r,{code:de.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),Me(r,{code:de.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):Vt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,et.toString(n))}gt(t,n){return this.setLimit("min",t,!1,et.toString(n))}lte(t,n){return this.setLimit("max",t,!0,et.toString(n))}lt(t,n){return this.setLimit("max",t,!1,et.toString(n))}setLimit(t,n,r,i){return new mu({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:et.toString(i)}]})}_addCheck(t){return new mu({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:et.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:et.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:et.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:et.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:et.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value{var t;return new mu({checks:[],typeName:it.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...vt(e)})};class ug extends wt{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==Ie.boolean){const r=this._getOrReturnCtx(t);return Me(r,{code:de.invalid_type,expected:Ie.boolean,received:r.parsedType}),ft}return Qi(t.data)}}ug.create=e=>new ug({typeName:it.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...vt(e)});class Pc extends wt{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==Ie.date){const o=this._getOrReturnCtx(t);return Me(o,{code:de.invalid_type,expected:Ie.date,received:o.parsedType}),ft}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Me(o,{code:de.invalid_date}),ft}const r=new Ui;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()o.value&&(i=this._getOrReturnCtx(t,i),Me(i,{code:de.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):Vt.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new Pc({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:et.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:et.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.valuenew Pc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:it.ZodDate,...vt(e)});class Fv extends wt{_parse(t){if(this._getType(t)!==Ie.symbol){const r=this._getOrReturnCtx(t);return Me(r,{code:de.invalid_type,expected:Ie.symbol,received:r.parsedType}),ft}return Qi(t.data)}}Fv.create=e=>new Fv({typeName:it.ZodSymbol,...vt(e)});class cg extends wt{_parse(t){if(this._getType(t)!==Ie.undefined){const r=this._getOrReturnCtx(t);return Me(r,{code:de.invalid_type,expected:Ie.undefined,received:r.parsedType}),ft}return Qi(t.data)}}cg.create=e=>new cg({typeName:it.ZodUndefined,...vt(e)});class dg extends wt{_parse(t){if(this._getType(t)!==Ie.null){const r=this._getOrReturnCtx(t);return Me(r,{code:de.invalid_type,expected:Ie.null,received:r.parsedType}),ft}return Qi(t.data)}}dg.create=e=>new dg({typeName:it.ZodNull,...vt(e)});class Df extends wt{constructor(){super(...arguments),this._any=!0}_parse(t){return Qi(t.data)}}Df.create=e=>new Df({typeName:it.ZodAny,...vt(e)});class _c extends wt{constructor(){super(...arguments),this._unknown=!0}_parse(t){return Qi(t.data)}}_c.create=e=>new _c({typeName:it.ZodUnknown,...vt(e)});class al extends wt{_parse(t){const n=this._getOrReturnCtx(t);return Me(n,{code:de.invalid_type,expected:Ie.never,received:n.parsedType}),ft}}al.create=e=>new al({typeName:it.ZodNever,...vt(e)});class Bv extends wt{_parse(t){if(this._getType(t)!==Ie.undefined){const r=this._getOrReturnCtx(t);return Me(r,{code:de.invalid_type,expected:Ie.void,received:r.parsedType}),ft}return Qi(t.data)}}Bv.create=e=>new Bv({typeName:it.ZodVoid,...vt(e)});class Ms extends wt{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==Ie.array)return Me(n,{code:de.invalid_type,expected:Ie.array,received:n.parsedType}),ft;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.lengthi.maxLength.value&&(Me(n,{code:de.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new ya(n,s,n.path,a)))).then(s=>Ui.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new ya(n,s,n.path,a)));return Ui.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Ms({...this._def,minLength:{value:t,message:et.toString(n)}})}max(t,n){return new Ms({...this._def,maxLength:{value:t,message:et.toString(n)}})}length(t,n){return new Ms({...this._def,exactLength:{value:t,message:et.toString(n)}})}nonempty(t){return this.min(1,t)}}Ms.create=(e,t)=>new Ms({type:e,minLength:null,maxLength:null,exactLength:null,typeName:it.ZodArray,...vt(t)});function kd(e){if(e instanceof er){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=Qa.create(kd(r))}return new er({...e._def,shape:()=>t})}else return e instanceof Ms?new Ms({...e._def,type:kd(e.element)}):e instanceof Qa?Qa.create(kd(e.unwrap())):e instanceof Ic?Ic.create(kd(e.unwrap())):e instanceof va?va.create(e.items.map(t=>kd(t))):e}class er extends wt{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=Vt.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==Ie.object){const u=this._getOrReturnCtx(t);return Me(u,{code:de.invalid_type,expected:Ie.object,received:u.parsedType}),ft}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof al&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const c=o[u],d=i.data[u];l.push({key:{status:"valid",value:u},value:c._parse(new ya(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof al){const u=this._def.unknownKeys;if(u==="passthrough")for(const c of a)l.push({key:{status:"valid",value:c},value:{status:"valid",value:i.data[c]}});else if(u==="strict")a.length>0&&(Me(i,{code:de.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const c of a){const d=i.data[c];l.push({key:{status:"valid",value:c},value:u._parse(new ya(i,d,i.path,c)),alwaysSet:c in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const c of l){const d=await c.key;u.push({key:d,value:await c.value,alwaysSet:c.alwaysSet})}return u}).then(u=>Ui.mergeObjectSync(r,u)):Ui.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return et.errToObj,new er({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=et.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new er({...this._def,unknownKeys:"strip"})}passthrough(){return new er({...this._def,unknownKeys:"passthrough"})}extend(t){return new er({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new er({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:it.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new er({...this._def,catchall:t})}pick(t){const n={};return Vt.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new er({...this._def,shape:()=>n})}omit(t){const n={};return Vt.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new er({...this._def,shape:()=>n})}deepPartial(){return kd(this)}partial(t){const n={};return Vt.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new er({...this._def,shape:()=>n})}required(t){const n={};return Vt.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof Qa;)o=o._def.innerType;n[r]=o}}),new er({...this._def,shape:()=>n})}keyof(){return lD(Vt.objectKeys(this.shape))}}er.create=(e,t)=>new er({shape:()=>e,unknownKeys:"strip",catchall:al.create(),typeName:it.ZodObject,...vt(t)});er.strictCreate=(e,t)=>new er({shape:()=>e,unknownKeys:"strict",catchall:al.create(),typeName:it.ZodObject,...vt(t)});er.lazycreate=(e,t)=>new er({shape:e,unknownKeys:"strip",catchall:al.create(),typeName:it.ZodObject,...vt(t)});class fg extends wt{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new Os(a.ctx.common.issues));return Me(n,{code:de.invalid_union,unionErrors:s}),ft}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},c=l._parseSync({data:n.data,path:n.path,parent:u});if(c.status==="valid")return c;c.status==="dirty"&&!o&&(o={result:c,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new Os(l));return Me(n,{code:de.invalid_union,unionErrors:a}),ft}}get options(){return this._def.options}}fg.create=(e,t)=>new fg({options:e,typeName:it.ZodUnion,...vt(t)});const R0=e=>e instanceof gg?R0(e.schema):e instanceof $s?R0(e.innerType()):e instanceof mg?[e.value]:e instanceof yu?e.options:e instanceof yg?Object.keys(e.enum):e instanceof vg?R0(e._def.innerType):e instanceof cg?[void 0]:e instanceof dg?[null]:null;class M_ extends wt{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Ie.object)return Me(n,{code:de.invalid_type,expected:Ie.object,received:n.parsedType}),ft;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(Me(n,{code:de.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),ft)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=R0(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new M_({typeName:it.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...vt(r)})}}function yC(e,t){const n=$l(e),r=$l(t);if(e===t)return{valid:!0,data:e};if(n===Ie.object&&r===Ie.object){const i=Vt.objectKeys(t),o=Vt.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=yC(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===Ie.array&&r===Ie.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o{if(gC(o)||gC(s))return ft;const a=yC(o.value,s.value);return a.valid?((mC(o)||mC(s))&&n.dirty(),{status:n.value,value:a.data}):(Me(r,{code:de.invalid_intersection_types}),ft)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}hg.create=(e,t,n)=>new hg({left:e,right:t,typeName:it.ZodIntersection,...vt(n)});class va extends wt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Ie.array)return Me(r,{code:de.invalid_type,expected:Ie.array,received:r.parsedType}),ft;if(r.data.lengththis._def.items.length&&(Me(r,{code:de.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new ya(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>Ui.mergeArray(n,s)):Ui.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new va({...this._def,rest:t})}}va.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new va({items:e,typeName:it.ZodTuple,rest:null,...vt(t)})};class pg extends wt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Ie.object)return Me(r,{code:de.invalid_type,expected:Ie.object,received:r.parsedType}),ft;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new ya(r,a,r.path,a)),value:s._parse(new ya(r,r.data[a],r.path,a))});return r.common.async?Ui.mergeObjectAsync(n,i):Ui.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof wt?new pg({keyType:t,valueType:n,typeName:it.ZodRecord,...vt(r)}):new pg({keyType:ks.create(),valueType:t,typeName:it.ZodRecord,...vt(n)})}}class zv extends wt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Ie.map)return Me(r,{code:de.invalid_type,expected:Ie.map,received:r.parsedType}),ft;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new ya(r,a,r.path,[u,"key"])),value:o._parse(new ya(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,c=await l.value;if(u.status==="aborted"||c.status==="aborted")return ft;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,c=l.value;if(u.status==="aborted"||c.status==="aborted")return ft;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}}}}zv.create=(e,t,n)=>new zv({valueType:t,keyType:e,typeName:it.ZodMap,...vt(n)});class Rc extends wt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Ie.set)return Me(r,{code:de.invalid_type,expected:Ie.set,received:r.parsedType}),ft;const i=this._def;i.minSize!==null&&r.data.sizei.maxSize.value&&(Me(r,{code:de.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const c of l){if(c.status==="aborted")return ft;c.status==="dirty"&&n.dirty(),u.add(c.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new ya(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new Rc({...this._def,minSize:{value:t,message:et.toString(n)}})}max(t,n){return new Rc({...this._def,maxSize:{value:t,message:et.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}Rc.create=(e,t)=>new Rc({valueType:e,minSize:null,maxSize:null,typeName:it.ZodSet,...vt(t)});class df extends wt{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Ie.function)return Me(n,{code:de.invalid_type,expected:Ie.function,received:n.parsedType}),ft;function r(a,l){return Lv({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Dv(),ag].filter(u=>!!u),issueData:{code:de.invalid_arguments,argumentsError:l}})}function i(a,l){return Lv({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Dv(),ag].filter(u=>!!u),issueData:{code:de.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;if(this._def.returns instanceof Lf){const a=this;return Qi(async function(...l){const u=new Os([]),c=await a._def.args.parseAsync(l,o).catch(h=>{throw u.addIssue(r(l,h)),u}),d=await Reflect.apply(s,this,c);return await a._def.returns._def.type.parseAsync(d,o).catch(h=>{throw u.addIssue(i(d,h)),u})})}else{const a=this;return Qi(function(...l){const u=a._def.args.safeParse(l,o);if(!u.success)throw new Os([r(l,u.error)]);const c=Reflect.apply(s,this,u.data),d=a._def.returns.safeParse(c,o);if(!d.success)throw new Os([i(c,d.error)]);return d.data})}}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new df({...this._def,args:va.create(t).rest(_c.create())})}returns(t){return new df({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new df({args:t||va.create([]).rest(_c.create()),returns:n||_c.create(),typeName:it.ZodFunction,...vt(r)})}}class gg extends wt{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}gg.create=(e,t)=>new gg({getter:e,typeName:it.ZodLazy,...vt(t)});class mg extends wt{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Me(n,{received:n.data,code:de.invalid_literal,expected:this._def.value}),ft}return{status:"valid",value:t.data}}get value(){return this._def.value}}mg.create=(e,t)=>new mg({value:e,typeName:it.ZodLiteral,...vt(t)});function lD(e,t){return new yu({values:e,typeName:it.ZodEnum,...vt(t)})}class yu extends wt{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Me(n,{expected:Vt.joinValues(r),received:n.parsedType,code:de.invalid_type}),ft}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Me(n,{received:n.data,code:de.invalid_enum_value,options:r}),ft}return Qi(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return yu.create(t)}exclude(t){return yu.create(this.options.filter(n=>!t.includes(n)))}}yu.create=lD;class yg extends wt{_parse(t){const n=Vt.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==Ie.string&&r.parsedType!==Ie.number){const i=Vt.objectValues(n);return Me(r,{expected:Vt.joinValues(i),received:r.parsedType,code:de.invalid_type}),ft}if(n.indexOf(t.data)===-1){const i=Vt.objectValues(n);return Me(r,{received:r.data,code:de.invalid_enum_value,options:i}),ft}return Qi(t.data)}get enum(){return this._def.values}}yg.create=(e,t)=>new yg({values:e,typeName:it.ZodNativeEnum,...vt(t)});class Lf extends wt{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Ie.promise&&n.common.async===!1)return Me(n,{code:de.invalid_type,expected:Ie.promise,received:n.parsedType}),ft;const r=n.parsedType===Ie.promise?n.data:Promise.resolve(n.data);return Qi(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}Lf.create=(e,t)=>new Lf({type:e,typeName:it.ZodPromise,...vt(t)});class $s extends wt{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===it.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null,o={addIssue:s=>{Me(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="preprocess"){const s=i.transform(r.data,o);return r.common.issues.length?{status:"dirty",value:r.data}:r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}if(i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?ft:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?ft:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!lg(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>lg(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);Vt.assertNever(i)}}$s.create=(e,t,n)=>new $s({schema:e,typeName:it.ZodEffects,effect:t,...vt(n)});$s.createWithPreprocess=(e,t,n)=>new $s({schema:t,effect:{type:"preprocess",transform:e},typeName:it.ZodEffects,...vt(n)});class Qa extends wt{_parse(t){return this._getType(t)===Ie.undefined?Qi(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Qa.create=(e,t)=>new Qa({innerType:e,typeName:it.ZodOptional,...vt(t)});class Ic extends wt{_parse(t){return this._getType(t)===Ie.null?Qi(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Ic.create=(e,t)=>new Ic({innerType:e,typeName:it.ZodNullable,...vt(t)});class vg extends wt{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===Ie.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}vg.create=(e,t)=>new vg({innerType:e,typeName:it.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...vt(t)});class Uv extends wt{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return $v(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new Os(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new Os(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}Uv.create=(e,t)=>new Uv({innerType:e,typeName:it.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...vt(t)});class jv extends wt{_parse(t){if(this._getType(t)!==Ie.nan){const r=this._getOrReturnCtx(t);return Me(r,{code:de.invalid_type,expected:Ie.nan,received:r.parsedType}),ft}return{status:"valid",value:t.data}}}jv.create=e=>new jv({typeName:it.ZodNaN,...vt(e)});const Pte=Symbol("zod_brand");class uD extends wt{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class xm extends wt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?ft:o.status==="dirty"?(n.dirty(),aD(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?ft:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new xm({in:t,out:n,typeName:it.ZodPipeline})}}class Vv extends wt{_parse(t){const n=this._def.innerType._parse(t);return lg(n)&&(n.value=Object.freeze(n.value)),n}}Vv.create=(e,t)=>new Vv({innerType:e,typeName:it.ZodReadonly,...vt(t)});const cD=(e,t={},n)=>e?Df.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):Df.create(),Rte={object:er.lazycreate};var it;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline",e.ZodReadonly="ZodReadonly"})(it||(it={}));const Ite=(e,t={message:`Input not instance of ${e.name}`})=>cD(n=>n instanceof e,t),dD=ks.create,fD=gu.create,Ote=jv.create,Mte=mu.create,hD=ug.create,Nte=Pc.create,Dte=Fv.create,Lte=cg.create,$te=dg.create,Fte=Df.create,Bte=_c.create,zte=al.create,Ute=Bv.create,jte=Ms.create,Vte=er.create,Gte=er.strictCreate,Hte=fg.create,qte=M_.create,Wte=hg.create,Kte=va.create,Xte=pg.create,Qte=zv.create,Yte=Rc.create,Zte=df.create,Jte=gg.create,ene=mg.create,tne=yu.create,nne=yg.create,rne=Lf.create,Wk=$s.create,ine=Qa.create,one=Ic.create,sne=$s.createWithPreprocess,ane=xm.create,lne=()=>dD().optional(),une=()=>fD().optional(),cne=()=>hD().optional(),dne={string:e=>ks.create({...e,coerce:!0}),number:e=>gu.create({...e,coerce:!0}),boolean:e=>ug.create({...e,coerce:!0}),bigint:e=>mu.create({...e,coerce:!0}),date:e=>Pc.create({...e,coerce:!0})},fne=ft;var z=Object.freeze({__proto__:null,defaultErrorMap:ag,setErrorMap:mte,getErrorMap:Dv,makeIssue:Lv,EMPTY_PATH:yte,addIssueToContext:Me,ParseStatus:Ui,INVALID:ft,DIRTY:aD,OK:Qi,isAborted:gC,isDirty:mC,isValid:lg,isAsync:$v,get util(){return Vt},get objectUtil(){return pC},ZodParsedType:Ie,getParsedType:$l,ZodType:wt,ZodString:ks,ZodNumber:gu,ZodBigInt:mu,ZodBoolean:ug,ZodDate:Pc,ZodSymbol:Fv,ZodUndefined:cg,ZodNull:dg,ZodAny:Df,ZodUnknown:_c,ZodNever:al,ZodVoid:Bv,ZodArray:Ms,ZodObject:er,ZodUnion:fg,ZodDiscriminatedUnion:M_,ZodIntersection:hg,ZodTuple:va,ZodRecord:pg,ZodMap:zv,ZodSet:Rc,ZodFunction:df,ZodLazy:gg,ZodLiteral:mg,ZodEnum:yu,ZodNativeEnum:yg,ZodPromise:Lf,ZodEffects:$s,ZodTransformer:$s,ZodOptional:Qa,ZodNullable:Ic,ZodDefault:vg,ZodCatch:Uv,ZodNaN:jv,BRAND:Pte,ZodBranded:uD,ZodPipeline:xm,ZodReadonly:Vv,custom:cD,Schema:wt,ZodSchema:wt,late:Rte,get ZodFirstPartyTypeKind(){return it},coerce:dne,any:Fte,array:jte,bigint:Mte,boolean:hD,date:Nte,discriminatedUnion:qte,effect:Wk,enum:tne,function:Zte,instanceof:Ite,intersection:Wte,lazy:Jte,literal:ene,map:Qte,nan:Ote,nativeEnum:nne,never:zte,null:$te,nullable:one,number:fD,object:Vte,oboolean:cne,onumber:une,optional:ine,ostring:lne,pipeline:ane,preprocess:sne,promise:rne,record:Xte,set:Yte,strictObject:Gte,string:dD,symbol:Dte,transformer:Wk,tuple:Kte,undefined:Lte,union:Hte,unknown:Bte,void:Ute,NEVER:fne,ZodIssueCode:de,quotelessJson:gte,ZodError:Os});const hne=z.string(),w6e=e=>hne.safeParse(e).success,pne=z.string(),x6e=e=>pne.safeParse(e).success,gne=z.string(),C6e=e=>gne.safeParse(e).success,mne=z.string(),E6e=e=>mne.safeParse(e).success,yne=z.number().int().min(1),T6e=e=>yne.safeParse(e).success,vne=z.number().min(1),A6e=e=>vne.safeParse(e).success,pD=z.enum(["euler","deis","ddim","ddpm","dpmpp_2s","dpmpp_2m","dpmpp_2m_sde","dpmpp_sde","heun","kdpm_2","lms","pndm","unipc","euler_k","dpmpp_2s_k","dpmpp_2m_k","dpmpp_2m_sde_k","dpmpp_sde_k","heun_k","lms_k","euler_a","kdpm_2_a"]),k6e=e=>pD.safeParse(e).success,P6e={euler:"Euler",deis:"DEIS",ddim:"DDIM",ddpm:"DDPM",dpmpp_sde:"DPM++ SDE",dpmpp_2s:"DPM++ 2S",dpmpp_2m:"DPM++ 2M",dpmpp_2m_sde:"DPM++ 2M SDE",heun:"Heun",kdpm_2:"KDPM 2",lms:"LMS",pndm:"PNDM",unipc:"UniPC",euler_k:"Euler Karras",dpmpp_sde_k:"DPM++ SDE Karras",dpmpp_2s_k:"DPM++ 2S Karras",dpmpp_2m_k:"DPM++ 2M Karras",dpmpp_2m_sde_k:"DPM++ 2M SDE Karras",heun_k:"Heun Karras",lms_k:"LMS Karras",euler_a:"Euler Ancestral",kdpm_2_a:"KDPM 2 Ancestral"},_ne=z.number().int().min(0).max(pte),R6e=e=>_ne.safeParse(e).success,bne=z.number().multipleOf(8).min(64),I6e=e=>bne.safeParse(e).success,Sne=z.number().multipleOf(8).min(64),O6e=e=>Sne.safeParse(e).success,Wc=z.enum(["any","sd-1","sd-2","sdxl","sdxl-refiner"]),N_=z.object({model_name:z.string().min(1),base_model:Wc,model_type:z.literal("main")}),M6e=e=>N_.safeParse(e).success,_5=z.object({model_name:z.string().min(1),base_model:z.literal("sdxl-refiner"),model_type:z.literal("main")}),N6e=e=>_5.safeParse(e).success,gD=z.object({model_name:z.string().min(1),base_model:Wc,model_type:z.literal("onnx")}),Cm=z.union([N_,gD]),wne=z.object({model_name:z.string().min(1),base_model:Wc}),xne=z.object({model_name:z.string().min(1),base_model:Wc}),D6e=e=>xne.safeParse(e).success,L6e=z.object({model_name:z.string().min(1),base_model:Wc}),$6e=z.object({model_name:z.string().min(1),base_model:Wc}),Cne=z.number().min(0).max(1),F6e=e=>Cne.safeParse(e).success;z.enum(["fp16","fp32"]);const Ene=z.number().min(1).max(10),B6e=e=>Ene.safeParse(e).success,Tne=z.number().min(1).max(10),z6e=e=>Tne.safeParse(e).success,Ane=z.number().min(0).max(1),U6e=e=>Ane.safeParse(e).success;z.enum(["box","gaussian"]);z.enum(["unmasked","mask","edge"]);const zs={cfgScale:7.5,height:512,img2imgStrength:.75,infillMethod:"patchmatch",iterations:1,perlin:0,positivePrompt:"",negativePrompt:"",scheduler:"euler",maskBlur:16,maskBlurMethod:"box",canvasCoherenceMode:"unmasked",canvasCoherenceSteps:20,canvasCoherenceStrength:.3,seed:0,seedWeights:"",shouldFitToWidthHeight:!0,shouldGenerateVariations:!1,shouldRandomizeSeed:!0,shouldUseNoiseSettings:!1,steps:50,threshold:0,infillTileSize:32,infillPatchmatchDownscaleSize:1,variationAmount:.1,width:512,shouldUseSymmetry:!1,horizontalSymmetrySteps:0,verticalSymmetrySteps:0,model:null,vae:null,vaePrecision:"fp32",seamlessXAxis:!1,seamlessYAxis:!1,clipSkip:0,shouldUseCpuNoise:!0,shouldShowAdvancedOptions:!1,aspectRatio:null,shouldLockAspectRatio:!1},kne=zs,mD=nr({name:"generation",initialState:kne,reducers:{setPositivePrompt:(e,t)=>{e.positivePrompt=t.payload},setNegativePrompt:(e,t)=>{e.negativePrompt=t.payload},setIterations:(e,t)=>{e.iterations=t.payload},setSteps:(e,t)=>{e.steps=t.payload},clampSymmetrySteps:e=>{e.horizontalSymmetrySteps=jl(e.horizontalSymmetrySteps,0,e.steps),e.verticalSymmetrySteps=jl(e.verticalSymmetrySteps,0,e.steps)},setCfgScale:(e,t)=>{e.cfgScale=t.payload},setThreshold:(e,t)=>{e.threshold=t.payload},setPerlin:(e,t)=>{e.perlin=t.payload},setHeight:(e,t)=>{e.height=t.payload},setWidth:(e,t)=>{e.width=t.payload},toggleSize:e=>{const[t,n]=[e.width,e.height];e.width=n,e.height=t},setScheduler:(e,t)=>{e.scheduler=t.payload},setSeed:(e,t)=>{e.seed=t.payload,e.shouldRandomizeSeed=!1},setImg2imgStrength:(e,t)=>{e.img2imgStrength=t.payload},setSeamlessXAxis:(e,t)=>{e.seamlessXAxis=t.payload},setSeamlessYAxis:(e,t)=>{e.seamlessYAxis=t.payload},setShouldFitToWidthHeight:(e,t)=>{e.shouldFitToWidthHeight=t.payload},resetSeed:e=>{e.seed=-1},setShouldGenerateVariations:(e,t)=>{e.shouldGenerateVariations=t.payload},setVariationAmount:(e,t)=>{e.variationAmount=t.payload},setSeedWeights:(e,t)=>{e.seedWeights=t.payload,e.shouldGenerateVariations=!0,e.variationAmount=0},resetParametersState:e=>({...e,...zs}),setShouldRandomizeSeed:(e,t)=>{e.shouldRandomizeSeed=t.payload},clearInitialImage:e=>{e.initialImage=void 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0?arguments[1]:{ns:["translation"],defaultNS:"translation"};super(),this.data=t||{},this.options=n,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.options.ignoreJSONStructure===void 0&&(this.options.ignoreJSONStructure=!0)}addNamespaces(t){this.options.ns.indexOf(t)<0&&this.options.ns.push(t)}removeNamespaces(t){const n=this.options.ns.indexOf(t);n>-1&&this.options.ns.splice(n,1)}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};const o=i.keySeparator!==void 0?i.keySeparator:this.options.keySeparator,s=i.ignoreJSONStructure!==void 0?i.ignoreJSONStructure:this.options.ignoreJSONStructure;let a=[t,n];r&&typeof r!="string"&&(a=a.concat(r)),r&&typeof r=="string"&&(a=a.concat(o?r.split(o):r)),t.indexOf(".")>-1&&(a=t.split("."));const l=Hv(this.data,a);return l||!s||typeof r!="string"?l:qv(this.data&&this.data[t]&&this.data[t][n],r,o)}addResource(t,n,r,i){let o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:{silent:!1};const s=o.keySeparator!==void 0?o.keySeparator:this.options.keySeparator;let a=[t,n];r&&(a=a.concat(s?r.split(s):r)),t.indexOf(".")>-1&&(a=t.split("."),i=n,n=a[1]),this.addNamespaces(n),Zk(this.data,a,i),o.silent||this.emit("added",t,n,r,i)}addResources(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{silent:!1};for(const o in r)(typeof r[o]=="string"||Object.prototype.toString.apply(r[o])==="[object Array]")&&this.addResource(t,n,o,r[o],{silent:!0});i.silent||this.emit("added",t,n,r)}addResourceBundle(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{silent:!1},a=[t,n];t.indexOf(".")>-1&&(a=t.split("."),i=r,r=n,n=a[1]),this.addNamespaces(n);let l=Hv(this.data,a)||{};i?TD(l,r,o):l={...l,...r},Zk(this.data,a,l),s.silent||this.emit("added",t,n,r)}removeResourceBundle(t,n){this.hasResourceBundle(t,n)&&delete this.data[t][n],this.removeNamespaces(n),this.emit("removed",t,n)}hasResourceBundle(t,n){return this.getResource(t,n)!==void 0}getResourceBundle(t,n){return n||(n=this.options.defaultNS),this.options.compatibilityAPI==="v1"?{...this.getResource(t,n)}:this.getResource(t,n)}getDataByLanguage(t){return this.data[t]}hasLanguageSomeTranslations(t){const n=this.getDataByLanguage(t);return!!(n&&Object.keys(n)||[]).find(i=>n[i]&&Object.keys(n[i]).length>0)}toJSON(){return this.data}}var AD={processors:{},addPostProcessor(e){this.processors[e.name]=e},handle(e,t,n,r,i){return e.forEach(o=>{this.processors[o]&&(t=this.processors[o].process(t,n,r,i))}),t}};const eP={};class Kv extends $_{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};super(),ure(["resourceStore","languageUtils","pluralResolver","interpolator","backendConnector","i18nFormat","utils"],t,this),this.options=n,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.logger=ia.create("translator")}changeLanguage(t){t&&(this.language=t)}exists(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}};if(t==null)return!1;const r=this.resolve(t,n);return r&&r.res!==void 0}extractFromKey(t,n){let r=n.nsSeparator!==void 0?n.nsSeparator:this.options.nsSeparator;r===void 0&&(r=":");const i=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator;let o=n.ns||this.options.defaultNS||[];const s=r&&t.indexOf(r)>-1,a=!this.options.userDefinedKeySeparator&&!n.keySeparator&&!this.options.userDefinedNsSeparator&&!n.nsSeparator&&!gre(t,r,i);if(s&&!a){const l=t.match(this.interpolator.nestingRegexp);if(l&&l.length>0)return{key:t,namespaces:o};const u=t.split(r);(r!==i||r===i&&this.options.ns.indexOf(u[0])>-1)&&(o=u.shift()),t=u.join(i)}return typeof o=="string"&&(o=[o]),{key:t,namespaces:o}}translate(t,n,r){if(typeof n!="object"&&this.options.overloadTranslationOptionHandler&&(n=this.options.overloadTranslationOptionHandler(arguments)),typeof n=="object"&&(n={...n}),n||(n={}),t==null)return"";Array.isArray(t)||(t=[String(t)]);const i=n.returnDetails!==void 0?n.returnDetails:this.options.returnDetails,o=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator,{key:s,namespaces:a}=this.extractFromKey(t[t.length-1],n),l=a[a.length-1],u=n.lng||this.language,c=n.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if(u&&u.toLowerCase()==="cimode"){if(c){const v=n.nsSeparator||this.options.nsSeparator;return i?{res:`${l}${v}${s}`,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:`${l}${v}${s}`}return i?{res:s,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:s}const d=this.resolve(t,n);let f=d&&d.res;const h=d&&d.usedKey||s,p=d&&d.exactUsedKey||s,m=Object.prototype.toString.apply(f),b=["[object Number]","[object Function]","[object RegExp]"],_=n.joinArrays!==void 0?n.joinArrays:this.options.joinArrays,y=!this.i18nFormat||this.i18nFormat.handleAsObject;if(y&&f&&(typeof f!="string"&&typeof f!="boolean"&&typeof f!="number")&&b.indexOf(m)<0&&!(typeof _=="string"&&m==="[object Array]")){if(!n.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const v=this.options.returnedObjectHandler?this.options.returnedObjectHandler(h,f,{...n,ns:a}):`key '${s} (${this.language})' returned an object instead of string.`;return i?(d.res=v,d):v}if(o){const v=m==="[object Array]",S=v?[]:{},w=v?p:h;for(const x in f)if(Object.prototype.hasOwnProperty.call(f,x)){const C=`${w}${o}${x}`;S[x]=this.translate(C,{...n,joinArrays:!1,ns:a}),S[x]===C&&(S[x]=f[x])}f=S}}else if(y&&typeof _=="string"&&m==="[object Array]")f=f.join(_),f&&(f=this.extendTranslation(f,t,n,r));else{let v=!1,S=!1;const w=n.count!==void 0&&typeof n.count!="string",x=Kv.hasDefaultValue(n),C=w?this.pluralResolver.getSuffix(u,n.count,n):"",A=n.ordinal&&w?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",T=n[`defaultValue${C}`]||n[`defaultValue${A}`]||n.defaultValue;!this.isValidLookup(f)&&x&&(v=!0,f=T),this.isValidLookup(f)||(S=!0,f=s);const L=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&S?void 0:f,N=x&&T!==f&&this.options.updateMissing;if(S||v||N){if(this.logger.log(N?"updateKey":"missingKey",u,l,s,N?T:f),o){const B=this.resolve(s,{...n,keySeparator:!1});B&&B.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let E=[];const P=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&P&&P[0])for(let B=0;B{const O=x&&I!==f?I:L;this.options.missingKeyHandler?this.options.missingKeyHandler(B,l,R,O,N,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(B,l,R,O,N,n),this.emit("missingKey",B,l,R,f)};this.options.saveMissing&&(this.options.saveMissingPlurals&&w?E.forEach(B=>{this.pluralResolver.getSuffixes(B,n).forEach(R=>{D([B],s+R,n[`defaultValue${R}`]||T)})}):D(E,s,T))}f=this.extendTranslation(f,t,n,d,r),S&&f===s&&this.options.appendNamespaceToMissingKey&&(f=`${l}:${s}`),(S||v)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?f=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,v?f:void 0):f=this.options.parseMissingKeyHandler(f))}return i?(d.res=f,d):f}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let c;if(u){const f=t.match(this.interpolator.nestingRegexp);c=f&&f.length}let d=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(d={...this.options.interpolation.defaultVariables,...d}),t=this.interpolator.interpolate(t,d,r.lng||this.language,r),u){const f=t.match(this.interpolator.nestingRegexp),h=f&&f.length;c1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),c=u.key;i=c;let d=u.namespaces;this.options.fallbackNS&&(d=d.concat(this.options.fallbackNS));const f=n.count!==void 0&&typeof n.count!="string",h=f&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),p=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",m=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);d.forEach(b=>{this.isValidLookup(r)||(a=b,!eP[`${m[0]}-${b}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(eP[`${m[0]}-${b}`]=!0,this.logger.warn(`key "${i}" for languages "${m.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),m.forEach(_=>{if(this.isValidLookup(r))return;s=_;const y=[c];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(y,c,_,b,n);else{let v;f&&(v=this.pluralResolver.getSuffix(_,n.count,n));const S=`${this.options.pluralSeparator}zero`,w=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(f&&(y.push(c+v),n.ordinal&&v.indexOf(w)===0&&y.push(c+v.replace(w,this.options.pluralSeparator)),h&&y.push(c+S)),p){const x=`${c}${this.options.contextSeparator}${n.context}`;y.push(x),f&&(y.push(x+v),n.ordinal&&v.indexOf(w)===0&&y.push(x+v.replace(w,this.options.pluralSeparator)),h&&y.push(x+S))}}let g;for(;g=y.pop();)this.isValidLookup(r)||(o=g,r=this.getResource(_,b,g,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:s,usedNS:a}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function F2(e){return e.charAt(0).toUpperCase()+e.slice(1)}class tP{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=ia.create("languageUtils")}getScriptPartFromCode(t){if(t=Wv(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=Wv(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=F2(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=F2(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=F2(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let mre=[{lngs:["ach","ak","am","arn","br","fil","gun","ln","mfe","mg","mi","oc","pt","pt-BR","tg","tl","ti","tr","uz","wa"],nr:[1,2],fc:1},{lngs:["af","an","ast","az","bg","bn","ca","da","de","dev","el","en","eo","es","et","eu","fi","fo","fur","fy","gl","gu","ha","hi","hu","hy","ia","it","kk","kn","ku","lb","mai","ml","mn","mr","nah","nap","nb","ne","nl","nn","no","nso","pa","pap","pms","ps","pt-PT","rm","sco","se","si","so","son","sq","sv","sw","ta","te","tk","ur","yo"],nr:[1,2],fc:2},{lngs:["ay","bo","cgg","fa","ht","id","ja","jbo","ka","km","ko","ky","lo","ms","sah","su","th","tt","ug","vi","wo","zh"],nr:[1],fc:3},{lngs:["be","bs","cnr","dz","hr","ru","sr","uk"],nr:[1,2,5],fc:4},{lngs:["ar"],nr:[0,1,2,3,11,100],fc:5},{lngs:["cs","sk"],nr:[1,2,5],fc:6},{lngs:["csb","pl"],nr:[1,2,5],fc:7},{lngs:["cy"],nr:[1,2,3,8],fc:8},{lngs:["fr"],nr:[1,2],fc:9},{lngs:["ga"],nr:[1,2,3,7,11],fc:10},{lngs:["gd"],nr:[1,2,3,20],fc:11},{lngs:["is"],nr:[1,2],fc:12},{lngs:["jv"],nr:[0,1],fc:13},{lngs:["kw"],nr:[1,2,3,4],fc:14},{lngs:["lt"],nr:[1,2,10],fc:15},{lngs:["lv"],nr:[1,2,0],fc:16},{lngs:["mk"],nr:[1,2],fc:17},{lngs:["mnk"],nr:[0,1,2],fc:18},{lngs:["mt"],nr:[1,2,11,20],fc:19},{lngs:["or"],nr:[2,1],fc:2},{lngs:["ro"],nr:[1,2,20],fc:20},{lngs:["sl"],nr:[5,1,2,3],fc:21},{lngs:["he","iw"],nr:[1,2,20,21],fc:22}],yre={1:function(e){return+(e>1)},2:function(e){return+(e!=1)},3:function(e){return 0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const vre=["v1","v2","v3"],_re=["v4"],nP={zero:0,one:1,two:2,few:3,many:4,other:5};function bre(){const e={};return mre.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:yre[t.fc]}})}),e}class Sre{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=ia.create("pluralResolver"),(!this.options.compatibilityJSON||_re.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. 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r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>nP[i]-nP[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof 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0?i.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables;return[{regex:this.regexpUnescape,safeValue:p=>u(p)},{regex:this.regexp,safeValue:p=>this.escapeValue?u(this.escape(p)):u(p)}].forEach(p=>{for(a=0;o=p.regex.exec(t);){const m=o[1].trim();if(s=c(m),s===void 0)if(typeof d=="function"){const _=d(t,o,i);s=typeof _=="string"?_:""}else if(i&&Object.prototype.hasOwnProperty.call(i,m))s="";else if(f){s=o[0];continue}else this.logger.warn(`missed to pass in variable ${m} for interpolating ${t}`),s="";else typeof s!="string"&&!this.useRawValueToEscape&&(s=Yk(s));const b=p.safeValue(s);if(t=t.replace(o[0],b),f?(p.regex.lastIndex+=s.length,p.regex.lastIndex-=o[0].length):p.regex.lastIndex=0,a++,a>=this.maxReplaces)break}}),t}nest(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i,o,s;function a(l,u){const c=this.nestingOptionsSeparator;if(l.indexOf(c)<0)return l;const d=l.split(new RegExp(`${c}[ ]*{`));let f=`{${d[1]}`;l=d[0],f=this.interpolate(f,s);const h=f.match(/'/g),p=f.match(/"/g);(h&&h.length%2===0&&!p||p.length%2!==0)&&(f=f.replace(/'/g,'"'));try{s=JSON.parse(f),u&&(s={...u,...s})}catch(m){return this.logger.warn(`failed parsing options string in nesting for key ${l}`,m),`${l}${c}${f}`}return delete s.defaultValue,l}for(;i=this.nestingRegexp.exec(t);){let l=[];s={...r},s=s.replace&&typeof s.replace!="string"?s.replace:s,s.applyPostProcessor=!1,delete s.defaultValue;let u=!1;if(i[0].indexOf(this.formatSeparator)!==-1&&!/{.*}/.test(i[1])){const c=i[1].split(this.formatSeparator).map(d=>d.trim());i[1]=c.shift(),l=c,u=!0}if(o=n(a.call(this,i[1].trim(),s),s),o&&i[0]===t&&typeof o!="string")return o;typeof o!="string"&&(o=Yk(o)),o||(this.logger.warn(`missed to resolve ${i[1]} for nesting ${t}`),o=""),u&&(o=l.reduce((c,d)=>this.format(c,d,r.lng,{...r,interpolationkey:i[1].trim()}),o.trim())),t=t.replace(i[0],o),this.regexp.lastIndex=0}return t}}function xre(e){let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/g,"");n[a.trim()]||(n[a.trim()]=u),u==="false"&&(n[a.trim()]=!1),u==="true"&&(n[a.trim()]=!0),isNaN(u)||(n[a.trim()]=parseInt(u,10))})}return{formatName:t,formatOptions:n}}function gd(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(Wv(i),o),t[s]=a),a(r)}}class Cre{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=ia.create("formatter"),this.options=t,this.formats={number:gd((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:gd((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return o=>i.format(o)}),datetime:gd((n,r)=>{const i=new Intl.DateTimeFormat(n,{...r});return o=>i.format(o)}),relativetime:gd((n,r)=>{const i=new Intl.RelativeTimeFormat(n,{...r});return o=>i.format(o,r.range||"day")}),list:gd((n,r)=>{const i=new Intl.ListFormat(n,{...r});return o=>i.format(o)})},this.init(t)}init(t){const r=(arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}}).interpolation;this.formatSeparator=r.formatSeparator?r.formatSeparator:r.formatSeparator||","}add(t,n){this.formats[t.toLowerCase().trim()]=n}addCached(t,n){this.formats[t.toLowerCase().trim()]=gd(n)}format(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return n.split(this.formatSeparator).reduce((a,l)=>{const{formatName:u,formatOptions:c}=xre(l);if(this.formats[u]){let d=a;try{const f=i&&i.formatParams&&i.formatParams[i.interpolationkey]||{},h=f.locale||f.lng||i.locale||i.lng||r;d=this.formats[u](a,h,{...c,...i,...f})}catch(f){this.logger.warn(f)}return d}else 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Fa=(e=>(e[e.PENDING=0]="PENDING",e[e.IN_PROGRESS=1]="IN_PROGRESS",e[e.COMPLETED=2]="COMPLETED",e[e.FAILED=3]="FAILED",e))(Fa||{});/*! pako 2.1.0 https://github.com/nodeca/pako @license (MIT AND Zlib) */const Uie=4,cP=0,dP=1,jie=2;function lh(e){let t=e.length;for(;--t>=0;)e[t]=0}const Vie=0,BD=1,Gie=2,Hie=3,qie=258,C5=29,Em=256,xg=Em+1+C5,ff=30,E5=19,zD=2*xg+1,lc=15,B2=16,Wie=7,T5=256,UD=16,jD=17,VD=18,_C=new Uint8Array([0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0]),I0=new Uint8Array([0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13]),Kie=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,7]),GD=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]),Xie=512,Ua=new Array((xg+2)*2);lh(Ua);const xp=new Array(ff*2);lh(xp);const Cg=new Array(Xie);lh(Cg);const Eg=new Array(qie-Hie+1);lh(Eg);const A5=new Array(C5);lh(A5);const Jv=new Array(ff);lh(Jv);function z2(e,t,n,r,i){this.static_tree=e,this.extra_bits=t,this.extra_base=n,this.elems=r,this.max_length=i,this.has_stree=e&&e.length}let HD,qD,WD;function U2(e,t){this.dyn_tree=e,this.max_code=0,this.stat_desc=t}const KD=e=>e<256?Cg[e]:Cg[256+(e>>>7)],Tg=(e,t)=>{e.pending_buf[e.pending++]=t&255,e.pending_buf[e.pending++]=t>>>8&255},uo=(e,t,n)=>{e.bi_valid>B2-n?(e.bi_buf|=t<>B2-e.bi_valid,e.bi_valid+=n-B2):(e.bi_buf|=t<{uo(e,n[t*2],n[t*2+1])},XD=(e,t)=>{let n=0;do n|=e&1,e>>>=1,n<<=1;while(--t>0);return n>>>1},Qie=e=>{e.bi_valid===16?(Tg(e,e.bi_buf),e.bi_buf=0,e.bi_valid=0):e.bi_valid>=8&&(e.pending_buf[e.pending++]=e.bi_buf&255,e.bi_buf>>=8,e.bi_valid-=8)},Yie=(e,t)=>{const n=t.dyn_tree,r=t.max_code,i=t.stat_desc.static_tree,o=t.stat_desc.has_stree,s=t.stat_desc.extra_bits,a=t.stat_desc.extra_base,l=t.stat_desc.max_length;let u,c,d,f,h,p,m=0;for(f=0;f<=lc;f++)e.bl_count[f]=0;for(n[e.heap[e.heap_max]*2+1]=0,u=e.heap_max+1;ul&&(f=l,m++),n[c*2+1]=f,!(c>r)&&(e.bl_count[f]++,h=0,c>=a&&(h=s[c-a]),p=n[c*2],e.opt_len+=p*(f+h),o&&(e.static_len+=p*(i[c*2+1]+h)));if(m!==0){do{for(f=l-1;e.bl_count[f]===0;)f--;e.bl_count[f]--,e.bl_count[f+1]+=2,e.bl_count[l]--,m-=2}while(m>0);for(f=l;f!==0;f--)for(c=e.bl_count[f];c!==0;)d=e.heap[--u],!(d>r)&&(n[d*2+1]!==f&&(e.opt_len+=(f-n[d*2+1])*n[d*2],n[d*2+1]=f),c--)}},QD=(e,t,n)=>{const r=new Array(lc+1);let i=0,o,s;for(o=1;o<=lc;o++)i=i+n[o-1]<<1,r[o]=i;for(s=0;s<=t;s++){let a=e[s*2+1];a!==0&&(e[s*2]=XD(r[a]++,a))}},Zie=()=>{let e,t,n,r,i;const o=new Array(lc+1);for(n=0,r=0;r>=7;r{let t;for(t=0;t{e.bi_valid>8?Tg(e,e.bi_buf):e.bi_valid>0&&(e.pending_buf[e.pending++]=e.bi_buf),e.bi_buf=0,e.bi_valid=0},fP=(e,t,n,r)=>{const i=t*2,o=n*2;return e[i]{const r=e.heap[n];let i=n<<1;for(;i<=e.heap_len&&(i{let r,i,o=0,s,a;if(e.sym_next!==0)do 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t;for(pP(e,e.dyn_ltree,e.l_desc.max_code),pP(e,e.dyn_dtree,e.d_desc.max_code),bC(e,e.bl_desc),t=E5-1;t>=3&&e.bl_tree[GD[t]*2+1]===0;t--);return e.opt_len+=3*(t+1)+5+5+4,t},eoe=(e,t,n,r)=>{let i;for(uo(e,t-257,5),uo(e,n-1,5),uo(e,r-4,4),i=0;i{let t=4093624447,n;for(n=0;n<=31;n++,t>>>=1)if(t&1&&e.dyn_ltree[n*2]!==0)return cP;if(e.dyn_ltree[9*2]!==0||e.dyn_ltree[10*2]!==0||e.dyn_ltree[13*2]!==0)return dP;for(n=32;n{mP||(Zie(),mP=!0),e.l_desc=new U2(e.dyn_ltree,HD),e.d_desc=new U2(e.dyn_dtree,qD),e.bl_desc=new U2(e.bl_tree,WD),e.bi_buf=0,e.bi_valid=0,YD(e)},JD=(e,t,n,r)=>{uo(e,(Vie<<1)+(r?1:0),3),ZD(e),Tg(e,n),Tg(e,~n),n&&e.pending_buf.set(e.window.subarray(t,t+n),e.pending),e.pending+=n},roe=e=>{uo(e,BD<<1,3),ta(e,T5,Ua),Qie(e)},ioe=(e,t,n,r)=>{let 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n=0;n<256;n++){e=n;for(var r=0;r<8;r++)e=e&1?3988292384^e>>>1:e>>>1;t[n]=e}return t},poe=new Uint32Array(hoe()),goe=(e,t,n,r)=>{const i=poe,o=r+n;e^=-1;for(let s=r;s>>8^i[(e^t[s])&255];return e^-1};var Zr=goe,zf={2:"need dictionary",1:"stream end",0:"","-1":"file error","-2":"stream error","-3":"data error","-4":"insufficient memory","-5":"buffer error","-6":"incompatible 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t=e.length;for(;--t>=0;)e[t]=0},Boe=e=>{let t,n,r,i=e.w_size;t=e.hash_size,r=t;do n=e.head[--r],e.head[r]=n>=i?n-i:0;while(--t);t=i,r=t;do n=e.prev[--r],e.prev[r]=n>=i?n-i:0;while(--t)};let zoe=(e,t,n)=>(t<{const t=e.state;let n=t.pending;n>e.avail_out&&(n=e.avail_out),n!==0&&(e.output.set(t.pending_buf.subarray(t.pending_out,t.pending_out+n),e.next_out),e.next_out+=n,t.pending_out+=n,e.total_out+=n,e.avail_out-=n,t.pending-=n,t.pending===0&&(t.pending_out=0))},Ro=(e,t)=>{yoe(e,e.block_start>=0?e.block_start:-1,e.strstart-e.block_start,t),e.block_start=e.strstart,Co(e.strm)},Yt=(e,t)=>{e.pending_buf[e.pending++]=t},Lh=(e,t)=>{e.pending_buf[e.pending++]=t>>>8&255,e.pending_buf[e.pending++]=t&255},AC=(e,t,n,r)=>{let i=e.avail_in;return i>r&&(i=r),i===0?0:(e.avail_in-=i,t.set(e.input.subarray(e.next_in,e.next_in+i),n),e.state.wrap===1?e.adler=Ag(e.adler,t,i,n):e.state.wrap===2&&(e.adler=Zr(e.adler,t,i,n)),e.next_in+=i,e.total_in+=i,i)},eL=(e,t)=>{let n=e.max_chain_length,r=e.strstart,i,o,s=e.prev_length,a=e.nice_match;const l=e.strstart>e.w_size-fa?e.strstart-(e.w_size-fa):0,u=e.window,c=e.w_mask,d=e.prev,f=e.strstart+Hl;let h=u[r+s-1],p=u[r+s];e.prev_length>=e.good_match&&(n>>=2),a>e.lookahead&&(a=e.lookahead);do if(i=t,!(u[i+s]!==p||u[i+s-1]!==h||u[i]!==u[r]||u[++i]!==u[r+1])){r+=2,i++;do;while(u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&rs){if(e.match_start=t,s=o,o>=a)break;h=u[r+s-1],p=u[r+s]}}while((t=d[t&c])>l&&--n!==0);return s<=e.lookahead?s:e.lookahead},jf=e=>{const t=e.w_size;let n,r,i;do{if(r=e.window_size-e.lookahead-e.strstart,e.strstart>=t+(t-fa)&&(e.window.set(e.window.subarray(t,t+t-r),0),e.match_start-=t,e.strstart-=t,e.block_start-=t,e.insert>e.strstart&&(e.insert=e.strstart),Boe(e),r+=t),e.strm.avail_in===0)break;if(n=AC(e.strm,e.window,e.strstart+e.lookahead,r),e.lookahead+=n,e.lookahead+e.insert>=Dt)for(i=e.strstart-e.insert,e.ins_h=e.window[i],e.ins_h=iu(e,e.ins_h,e.window[i+1]);e.insert&&(e.ins_h=iu(e,e.ins_h,e.window[i+Dt-1]),e.prev[i&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=i,i++,e.insert--,!(e.lookahead+e.insert{let n=e.pending_buf_size-5>e.w_size?e.w_size:e.pending_buf_size-5,r,i,o,s=0,a=e.strm.avail_in;do{if(r=65535,o=e.bi_valid+42>>3,e.strm.avail_outi+e.strm.avail_in&&(r=i+e.strm.avail_in),r>o&&(r=o),r>8,e.pending_buf[e.pending-2]=~r,e.pending_buf[e.pending-1]=~r>>8,Co(e.strm),i&&(i>r&&(i=r),e.strm.output.set(e.window.subarray(e.block_start,e.block_start+i),e.strm.next_out),e.strm.next_out+=i,e.strm.avail_out-=i,e.strm.total_out+=i,e.block_start+=i,r-=i),r&&(AC(e.strm,e.strm.output,e.strm.next_out,r),e.strm.next_out+=r,e.strm.avail_out-=r,e.strm.total_out+=r)}while(s===0);return a-=e.strm.avail_in,a&&(a>=e.w_size?(e.matches=2,e.window.set(e.strm.input.subarray(e.strm.next_in-e.w_size,e.strm.next_in),0),e.strstart=e.w_size,e.insert=e.strstart):(e.window_size-e.strstart<=a&&(e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,e.insert>e.strstart&&(e.insert=e.strstart)),e.window.set(e.strm.input.subarray(e.strm.next_in-a,e.strm.next_in),e.strstart),e.strstart+=a,e.insert+=a>e.w_size-e.insert?e.w_size-e.insert:a),e.block_start=e.strstart),e.high_watero&&e.block_start>=e.w_size&&(e.block_start-=e.w_size,e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,o+=e.w_size,e.insert>e.strstart&&(e.insert=e.strstart)),o>e.strm.avail_in&&(o=e.strm.avail_in),o&&(AC(e.strm,e.window,e.strstart,o),e.strstart+=o,e.insert+=o>e.w_size-e.insert?e.w_size-e.insert:o),e.high_water>3,o=e.pending_buf_size-o>65535?65535:e.pending_buf_size-o,n=o>e.w_size?e.w_size:o,i=e.strstart-e.block_start,(i>=n||(i||t===Qo)&&t!==ru&&e.strm.avail_in===0&&i<=o)&&(r=i>o?o:i,s=t===Qo&&e.strm.avail_in===0&&r===i?1:0,SC(e,e.block_start,r,s),e.block_start+=r,Co(e.strm)),s?Oc:Wi)},G2=(e,t)=>{let n,r;for(;;){if(e.lookahead=Dt&&(e.ins_h=iu(e,e.ins_h,e.window[e.strstart+Dt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),n!==0&&e.strstart-n<=e.w_size-fa&&(e.match_length=eL(e,n)),e.match_length>=Dt)if(r=nu(e,e.strstart-e.match_start,e.match_length-Dt),e.lookahead-=e.match_length,e.match_length<=e.max_lazy_match&&e.lookahead>=Dt){e.match_length--;do e.strstart++,e.ins_h=iu(e,e.ins_h,e.window[e.strstart+Dt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart;while(--e.match_length!==0);e.strstart++}else e.strstart+=e.match_length,e.match_length=0,e.ins_h=e.window[e.strstart],e.ins_h=iu(e,e.ins_h,e.window[e.strstart+1]);else r=nu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++;if(r&&(Ro(e,!1),e.strm.avail_out===0))return Wi}return e.insert=e.strstart{let n,r,i;for(;;){if(e.lookahead=Dt&&(e.ins_h=iu(e,e.ins_h,e.window[e.strstart+Dt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),e.prev_length=e.match_length,e.prev_match=e.match_start,e.match_length=Dt-1,n!==0&&e.prev_length4096)&&(e.match_length=Dt-1)),e.prev_length>=Dt&&e.match_length<=e.prev_length){i=e.strstart+e.lookahead-Dt,r=nu(e,e.strstart-1-e.prev_match,e.prev_length-Dt),e.lookahead-=e.prev_length-1,e.prev_length-=2;do++e.strstart<=i&&(e.ins_h=iu(e,e.ins_h,e.window[e.strstart+Dt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart);while(--e.prev_length!==0);if(e.match_available=0,e.match_length=Dt-1,e.strstart++,r&&(Ro(e,!1),e.strm.avail_out===0))return Wi}else if(e.match_available){if(r=nu(e,0,e.window[e.strstart-1]),r&&Ro(e,!1),e.strstart++,e.lookahead--,e.strm.avail_out===0)return Wi}else e.match_available=1,e.strstart++,e.lookahead--}return e.match_available&&(r=nu(e,0,e.window[e.strstart-1]),e.match_available=0),e.insert=e.strstart{let n,r,i,o;const s=e.window;for(;;){if(e.lookahead<=Hl){if(jf(e),e.lookahead<=Hl&&t===ru)return Wi;if(e.lookahead===0)break}if(e.match_length=0,e.lookahead>=Dt&&e.strstart>0&&(i=e.strstart-1,r=s[i],r===s[++i]&&r===s[++i]&&r===s[++i])){o=e.strstart+Hl;do;while(r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&ie.lookahead&&(e.match_length=e.lookahead)}if(e.match_length>=Dt?(n=nu(e,1,e.match_length-Dt),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(n=nu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),n&&(Ro(e,!1),e.strm.avail_out===0))return Wi}return e.insert=0,t===Qo?(Ro(e,!0),e.strm.avail_out===0?Oc:ch):e.sym_next&&(Ro(e,!1),e.strm.avail_out===0)?Wi:uh},joe=(e,t)=>{let n;for(;;){if(e.lookahead===0&&(jf(e),e.lookahead===0)){if(t===ru)return Wi;break}if(e.match_length=0,n=nu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,n&&(Ro(e,!1),e.strm.avail_out===0))return Wi}return e.insert=0,t===Qo?(Ro(e,!0),e.strm.avail_out===0?Oc:ch):e.sym_next&&(Ro(e,!1),e.strm.avail_out===0)?Wi:uh};function Hs(e,t,n,r,i){this.good_length=e,this.max_lazy=t,this.nice_length=n,this.max_chain=r,this.func=i}const ip=[new Hs(0,0,0,0,tL),new Hs(4,4,8,4,G2),new Hs(4,5,16,8,G2),new Hs(4,6,32,32,G2),new Hs(4,4,16,16,md),new Hs(8,16,32,32,md),new Hs(8,16,128,128,md),new Hs(8,32,128,256,md),new Hs(32,128,258,1024,md),new Hs(32,258,258,4096,md)],Voe=e=>{e.window_size=2*e.w_size,Fl(e.head),e.max_lazy_match=ip[e.level].max_lazy,e.good_match=ip[e.level].good_length,e.nice_match=ip[e.level].nice_length,e.max_chain_length=ip[e.level].max_chain,e.strstart=0,e.block_start=0,e.lookahead=0,e.insert=0,e.match_length=e.prev_length=Dt-1,e.match_available=0,e.ins_h=0};function Goe(){this.strm=null,this.status=0,this.pending_buf=null,this.pending_buf_size=0,this.pending_out=0,this.pending=0,this.wrap=0,this.gzhead=null,this.gzindex=0,this.method=F_,this.last_flush=-1,this.w_size=0,this.w_bits=0,this.w_mask=0,this.window=null,this.window_size=0,this.prev=null,this.head=null,this.ins_h=0,this.hash_size=0,this.hash_bits=0,this.hash_mask=0,this.hash_shift=0,this.block_start=0,this.match_length=0,this.prev_match=0,this.match_available=0,this.strstart=0,this.match_start=0,this.lookahead=0,this.prev_length=0,this.max_chain_length=0,this.max_lazy_match=0,this.level=0,this.strategy=0,this.good_match=0,this.nice_match=0,this.dyn_ltree=new Uint16Array(Doe*2),this.dyn_dtree=new Uint16Array((2*Moe+1)*2),this.bl_tree=new Uint16Array((2*Noe+1)*2),Fl(this.dyn_ltree),Fl(this.dyn_dtree),Fl(this.bl_tree),this.l_desc=null,this.d_desc=null,this.bl_desc=null,this.bl_count=new Uint16Array(Loe+1),this.heap=new Uint16Array(2*wC+1),Fl(this.heap),this.heap_len=0,this.heap_max=0,this.depth=new Uint16Array(2*wC+1),Fl(this.depth),this.sym_buf=0,this.lit_bufsize=0,this.sym_next=0,this.sym_end=0,this.opt_len=0,this.static_len=0,this.matches=0,this.insert=0,this.bi_buf=0,this.bi_valid=0}const Am=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.status!==Uf&&t.status!==k5&&t.status!==xC&&t.status!==CC&&t.status!==EC&&t.status!==TC&&t.status!==uc&&t.status!==rp?1:0},nL=e=>{if(Am(e))return cc(e,da);e.total_in=e.total_out=0,e.data_type=Aoe;const t=e.state;return t.pending=0,t.pending_out=0,t.wrap<0&&(t.wrap=-t.wrap),t.status=t.wrap===2?k5:t.wrap?Uf:uc,e.adler=t.wrap===2?0:1,t.last_flush=-2,moe(t),yi},rL=e=>{const t=nL(e);return t===yi&&Voe(e.state),t},Hoe=(e,t)=>Am(e)||e.state.wrap!==2?da:(e.state.gzhead=t,yi),iL=(e,t,n,r,i,o)=>{if(!e)return da;let s=1;if(t===woe&&(t=6),r<0?(s=0,r=-r):r>15&&(s=2,r-=16),i<1||i>koe||n!==F_||r<8||r>15||t<0||t>9||o<0||o>Eoe||r===8&&s!==1)return cc(e,da);r===8&&(r=9);const a=new Goe;return e.state=a,a.strm=e,a.status=Uf,a.wrap=s,a.gzhead=null,a.w_bits=r,a.w_size=1<iL(e,t,F_,Poe,Roe,Toe),Woe=(e,t)=>{if(Am(e)||t>yP||t<0)return e?cc(e,da):da;const n=e.state;if(!e.output||e.avail_in!==0&&!e.input||n.status===rp&&t!==Qo)return cc(e,e.avail_out===0?V2:da);const r=n.last_flush;if(n.last_flush=t,n.pending!==0){if(Co(e),e.avail_out===0)return n.last_flush=-1,yi}else if(e.avail_in===0&&_P(t)<=_P(r)&&t!==Qo)return cc(e,V2);if(n.status===rp&&e.avail_in!==0)return cc(e,V2);if(n.status===Uf&&n.wrap===0&&(n.status=uc),n.status===Uf){let i=F_+(n.w_bits-8<<4)<<8,o=-1;if(n.strategy>=ky||n.level<2?o=0:n.level<6?o=1:n.level===6?o=2:o=3,i|=o<<6,n.strstart!==0&&(i|=$oe),i+=31-i%31,Lh(n,i),n.strstart!==0&&(Lh(n,e.adler>>>16),Lh(n,e.adler&65535)),e.adler=1,n.status=uc,Co(e),n.pending!==0)return n.last_flush=-1,yi}if(n.status===k5){if(e.adler=0,Yt(n,31),Yt(n,139),Yt(n,8),n.gzhead)Yt(n,(n.gzhead.text?1:0)+(n.gzhead.hcrc?2:0)+(n.gzhead.extra?4:0)+(n.gzhead.name?8:0)+(n.gzhead.comment?16:0)),Yt(n,n.gzhead.time&255),Yt(n,n.gzhead.time>>8&255),Yt(n,n.gzhead.time>>16&255),Yt(n,n.gzhead.time>>24&255),Yt(n,n.level===9?2:n.strategy>=ky||n.level<2?4:0),Yt(n,n.gzhead.os&255),n.gzhead.extra&&n.gzhead.extra.length&&(Yt(n,n.gzhead.extra.length&255),Yt(n,n.gzhead.extra.length>>8&255)),n.gzhead.hcrc&&(e.adler=Zr(e.adler,n.pending_buf,n.pending,0)),n.gzindex=0,n.status=xC;else if(Yt(n,0),Yt(n,0),Yt(n,0),Yt(n,0),Yt(n,0),Yt(n,n.level===9?2:n.strategy>=ky||n.level<2?4:0),Yt(n,Foe),n.status=uc,Co(e),n.pending!==0)return n.last_flush=-1,yi}if(n.status===xC){if(n.gzhead.extra){let i=n.pending,o=(n.gzhead.extra.length&65535)-n.gzindex;for(;n.pending+o>n.pending_buf_size;){let a=n.pending_buf_size-n.pending;if(n.pending_buf.set(n.gzhead.extra.subarray(n.gzindex,n.gzindex+a),n.pending),n.pending=n.pending_buf_size,n.gzhead.hcrc&&n.pending>i&&(e.adler=Zr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex+=a,Co(e),n.pending!==0)return n.last_flush=-1,yi;i=0,o-=a}let s=new Uint8Array(n.gzhead.extra);n.pending_buf.set(s.subarray(n.gzindex,n.gzindex+o),n.pending),n.pending+=o,n.gzhead.hcrc&&n.pending>i&&(e.adler=Zr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=CC}if(n.status===CC){if(n.gzhead.name){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=Zr(e.adler,n.pending_buf,n.pending-i,i)),Co(e),n.pending!==0)return n.last_flush=-1,yi;i=0}n.gzindexi&&(e.adler=Zr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=EC}if(n.status===EC){if(n.gzhead.comment){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=Zr(e.adler,n.pending_buf,n.pending-i,i)),Co(e),n.pending!==0)return n.last_flush=-1,yi;i=0}n.gzindexi&&(e.adler=Zr(e.adler,n.pending_buf,n.pending-i,i))}n.status=TC}if(n.status===TC){if(n.gzhead.hcrc){if(n.pending+2>n.pending_buf_size&&(Co(e),n.pending!==0))return n.last_flush=-1,yi;Yt(n,e.adler&255),Yt(n,e.adler>>8&255),e.adler=0}if(n.status=uc,Co(e),n.pending!==0)return n.last_flush=-1,yi}if(e.avail_in!==0||n.lookahead!==0||t!==ru&&n.status!==rp){let i=n.level===0?tL(n,t):n.strategy===ky?joe(n,t):n.strategy===Coe?Uoe(n,t):ip[n.level].func(n,t);if((i===Oc||i===ch)&&(n.status=rp),i===Wi||i===Oc)return e.avail_out===0&&(n.last_flush=-1),yi;if(i===uh&&(t===_oe?voe(n):t!==yP&&(SC(n,0,0,!1),t===boe&&(Fl(n.head),n.lookahead===0&&(n.strstart=0,n.block_start=0,n.insert=0))),Co(e),e.avail_out===0))return n.last_flush=-1,yi}return t!==Qo?yi:n.wrap<=0?vP:(n.wrap===2?(Yt(n,e.adler&255),Yt(n,e.adler>>8&255),Yt(n,e.adler>>16&255),Yt(n,e.adler>>24&255),Yt(n,e.total_in&255),Yt(n,e.total_in>>8&255),Yt(n,e.total_in>>16&255),Yt(n,e.total_in>>24&255)):(Lh(n,e.adler>>>16),Lh(n,e.adler&65535)),Co(e),n.wrap>0&&(n.wrap=-n.wrap),n.pending!==0?yi:vP)},Koe=e=>{if(Am(e))return da;const t=e.state.status;return e.state=null,t===uc?cc(e,Soe):yi},Xoe=(e,t)=>{let n=t.length;if(Am(e))return da;const r=e.state,i=r.wrap;if(i===2||i===1&&r.status!==Uf||r.lookahead)return da;if(i===1&&(e.adler=Ag(e.adler,t,n,0)),r.wrap=0,n>=r.w_size){i===0&&(Fl(r.head),r.strstart=0,r.block_start=0,r.insert=0);let l=new Uint8Array(r.w_size);l.set(t.subarray(n-r.w_size,n),0),t=l,n=r.w_size}const o=e.avail_in,s=e.next_in,a=e.input;for(e.avail_in=n,e.next_in=0,e.input=t,jf(r);r.lookahead>=Dt;){let l=r.strstart,u=r.lookahead-(Dt-1);do 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lse=e=>{if(typeof TextEncoder=="function"&&TextEncoder.prototype.encode)return new TextEncoder().encode(e);let t,n,r,i,o,s=e.length,a=0;for(i=0;i>>6,t[o++]=128|n&63):n<65536?(t[o++]=224|n>>>12,t[o++]=128|n>>>6&63,t[o++]=128|n&63):(t[o++]=240|n>>>18,t[o++]=128|n>>>12&63,t[o++]=128|n>>>6&63,t[o++]=128|n&63);return t};const use=(e,t)=>{if(t<65534&&e.subarray&&oL)return String.fromCharCode.apply(null,e.length===t?e:e.subarray(0,t));let n="";for(let r=0;r{const n=t||e.length;if(typeof TextDecoder=="function"&&TextDecoder.prototype.decode)return new TextDecoder().decode(e.subarray(0,t));let r,i;const o=new Array(n*2);for(i=0,r=0;r4){o[i++]=65533,r+=a-1;continue}for(s&=a===2?31:a===3?15:7;a>1&&r1){o[i++]=65533;continue}s<65536?o[i++]=s:(s-=65536,o[i++]=55296|s>>10&1023,o[i++]=56320|s&1023)}return use(o,i)},dse=(e,t)=>{t=t||e.length,t>e.length&&(t=e.length);let n=t-1;for(;n>=0&&(e[n]&192)===128;)n--;return n<0||n===0?t:n+kg[e[n]]>t?n:t},Pg={string2buf:lse,buf2string:cse,utf8border:dse};function fse(){this.input=null,this.next_in=0,this.avail_in=0,this.total_in=0,this.output=null,this.next_out=0,this.avail_out=0,this.total_out=0,this.msg="",this.state=null,this.data_type=2,this.adler=0}var sL=fse;const aL=Object.prototype.toString,{Z_NO_FLUSH:hse,Z_SYNC_FLUSH:pse,Z_FULL_FLUSH:gse,Z_FINISH:mse,Z_OK:e1,Z_STREAM_END:yse,Z_DEFAULT_COMPRESSION:vse,Z_DEFAULT_STRATEGY:_se,Z_DEFLATED:bse}=Tm;function P5(e){this.options=B_.assign({level:vse,method:bse,chunkSize:16384,windowBits:15,memLevel:8,strategy:_se},e||{});let t=this.options;t.raw&&t.windowBits>0?t.windowBits=-t.windowBits:t.gzip&&t.windowBits>0&&t.windowBits<16&&(t.windowBits+=16),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new sL,this.strm.avail_out=0;let n=Cp.deflateInit2(this.strm,t.level,t.method,t.windowBits,t.memLevel,t.strategy);if(n!==e1)throw new Error(zf[n]);if(t.header&&Cp.deflateSetHeader(this.strm,t.header),t.dictionary){let r;if(typeof t.dictionary=="string"?r=Pg.string2buf(t.dictionary):aL.call(t.dictionary)==="[object ArrayBuffer]"?r=new Uint8Array(t.dictionary):r=t.dictionary,n=Cp.deflateSetDictionary(this.strm,r),n!==e1)throw new Error(zf[n]);this._dict_set=!0}}P5.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize;let i,o;if(this.ended)return!1;for(t===~~t?o=t:o=t===!0?mse:hse,typeof e=="string"?n.input=Pg.string2buf(e):aL.call(e)==="[object ArrayBuffer]"?n.input=new Uint8Array(e):n.input=e,n.next_in=0,n.avail_in=n.input.length;;){if(n.avail_out===0&&(n.output=new Uint8Array(r),n.next_out=0,n.avail_out=r),(o===pse||o===gse)&&n.avail_out<=6){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(i=Cp.deflate(n,o),i===yse)return n.next_out>0&&this.onData(n.output.subarray(0,n.next_out)),i=Cp.deflateEnd(this.strm),this.onEnd(i),this.ended=!0,i===e1;if(n.avail_out===0){this.onData(n.output);continue}if(o>0&&n.next_out>0){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(n.avail_in===0)break}return!0};P5.prototype.onData=function(e){this.chunks.push(e)};P5.prototype.onEnd=function(e){e===e1&&(this.result=B_.flattenChunks(this.chunks)),this.chunks=[],this.err=e,this.msg=this.strm.msg};const Py=16209,Sse=16191;var wse=function(t,n){let r,i,o,s,a,l,u,c,d,f,h,p,m,b,_,y,g,v,S,w,x,C,A,T;const k=t.state;r=t.next_in,A=t.input,i=r+(t.avail_in-5),o=t.next_out,T=t.output,s=o-(n-t.avail_out),a=o+(t.avail_out-257),l=k.dmax,u=k.wsize,c=k.whave,d=k.wnext,f=k.window,h=k.hold,p=k.bits,m=k.lencode,b=k.distcode,_=(1<>>24,h>>>=v,p-=v,v=g>>>16&255,v===0)T[o++]=g&65535;else if(v&16){S=g&65535,v&=15,v&&(p>>=v,p-=v),p<15&&(h+=A[r++]<>>24,h>>>=v,p-=v,v=g>>>16&255,v&16){if(w=g&65535,v&=15,pl){t.msg="invalid distance too far back",k.mode=Py;break e}if(h>>>=v,p-=v,v=o-s,w>v){if(v=w-v,v>c&&k.sane){t.msg="invalid distance too far back",k.mode=Py;break e}if(x=0,C=f,d===0){if(x+=u-v,v2;)T[o++]=C[x++],T[o++]=C[x++],T[o++]=C[x++],S-=3;S&&(T[o++]=C[x++],S>1&&(T[o++]=C[x++]))}else{x=o-w;do T[o++]=T[x++],T[o++]=T[x++],T[o++]=T[x++],S-=3;while(S>2);S&&(T[o++]=T[x++],S>1&&(T[o++]=T[x++]))}}else if(v&64){t.msg="invalid distance code",k.mode=Py;break e}else{g=b[(g&65535)+(h&(1<>3,r-=S,p-=S<<3,h&=(1<{const l=a.bits;let u=0,c=0,d=0,f=0,h=0,p=0,m=0,b=0,_=0,y=0,g,v,S,w,x,C=null,A;const T=new Uint16Array(yd+1),k=new Uint16Array(yd+1);let L=null,N,E,P;for(u=0;u<=yd;u++)T[u]=0;for(c=0;c=1&&T[f]===0;f--);if(h>f&&(h=f),f===0)return i[o++]=1<<24|64<<16|0,i[o++]=1<<24|64<<16|0,a.bits=1,0;for(d=1;d0&&(e===wP||f!==1))return-1;for(k[1]=0,u=1;ubP||e===xP&&_>SP)return 1;for(;;){N=u-m,s[c]+1=A?(E=L[s[c]-A],P=C[s[c]-A]):(E=32+64,P=0),g=1<>m)+v]=N<<24|E<<16|P|0;while(v!==0);for(g=1<>=1;if(g!==0?(y&=g-1,y+=g):y=0,c++,--T[u]===0){if(u===f)break;u=t[n+s[c]]}if(u>h&&(y&w)!==S){for(m===0&&(m=h),x+=d,p=u-m,b=1<bP||e===xP&&_>SP)return 1;S=y&w,i[S]=h<<24|p<<16|x-o|0}}return y!==0&&(i[x+y]=u-m<<24|64<<16|0),a.bits=h,0};var Ep=Ase;const kse=0,lL=1,uL=2,{Z_FINISH:CP,Z_BLOCK:Pse,Z_TREES:Ry,Z_OK:Mc,Z_STREAM_END:Rse,Z_NEED_DICT:Ise,Z_STREAM_ERROR:is,Z_DATA_ERROR:cL,Z_MEM_ERROR:dL,Z_BUF_ERROR:Ose,Z_DEFLATED:EP}=Tm,z_=16180,TP=16181,AP=16182,kP=16183,PP=16184,RP=16185,IP=16186,OP=16187,MP=16188,NP=16189,t1=16190,Pa=16191,q2=16192,DP=16193,W2=16194,LP=16195,$P=16196,FP=16197,BP=16198,Iy=16199,Oy=16200,zP=16201,UP=16202,jP=16203,VP=16204,GP=16205,K2=16206,HP=16207,qP=16208,Hn=16209,fL=16210,hL=16211,Mse=852,Nse=592,Dse=15,Lse=Dse,WP=e=>(e>>>24&255)+(e>>>8&65280)+((e&65280)<<8)+((e&255)<<24);function $se(){this.strm=null,this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new Uint16Array(320),this.work=new Uint16Array(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}const Xc=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.modehL?1:0},pL=e=>{if(Xc(e))return is;const t=e.state;return e.total_in=e.total_out=t.total=0,e.msg="",t.wrap&&(e.adler=t.wrap&1),t.mode=z_,t.last=0,t.havedict=0,t.flags=-1,t.dmax=32768,t.head=null,t.hold=0,t.bits=0,t.lencode=t.lendyn=new Int32Array(Mse),t.distcode=t.distdyn=new Int32Array(Nse),t.sane=1,t.back=-1,Mc},gL=e=>{if(Xc(e))return is;const t=e.state;return t.wsize=0,t.whave=0,t.wnext=0,pL(e)},mL=(e,t)=>{let n;if(Xc(e))return is;const r=e.state;return t<0?(n=0,t=-t):(n=(t>>4)+5,t<48&&(t&=15)),t&&(t<8||t>15)?is:(r.window!==null&&r.wbits!==t&&(r.window=null),r.wrap=n,r.wbits=t,gL(e))},yL=(e,t)=>{if(!e)return is;const n=new $se;e.state=n,n.strm=e,n.window=null,n.mode=z_;const r=mL(e,t);return r!==Mc&&(e.state=null),r},Fse=e=>yL(e,Lse);let KP=!0,X2,Q2;const Bse=e=>{if(KP){X2=new Int32Array(512),Q2=new Int32Array(32);let t=0;for(;t<144;)e.lens[t++]=8;for(;t<256;)e.lens[t++]=9;for(;t<280;)e.lens[t++]=7;for(;t<288;)e.lens[t++]=8;for(Ep(lL,e.lens,0,288,X2,0,e.work,{bits:9}),t=0;t<32;)e.lens[t++]=5;Ep(uL,e.lens,0,32,Q2,0,e.work,{bits:5}),KP=!1}e.lencode=X2,e.lenbits=9,e.distcode=Q2,e.distbits=5},vL=(e,t,n,r)=>{let i;const o=e.state;return o.window===null&&(o.wsize=1<=o.wsize?(o.window.set(t.subarray(n-o.wsize,n),0),o.wnext=0,o.whave=o.wsize):(i=o.wsize-o.wnext,i>r&&(i=r),o.window.set(t.subarray(n-r,n-r+i),o.wnext),r-=i,r?(o.window.set(t.subarray(n-r,n),0),o.wnext=r,o.whave=o.wsize):(o.wnext+=i,o.wnext===o.wsize&&(o.wnext=0),o.whave{let n,r,i,o,s,a,l,u,c,d,f,h,p,m,b=0,_,y,g,v,S,w,x,C;const A=new Uint8Array(4);let T,k;const L=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]);if(Xc(e)||!e.output||!e.input&&e.avail_in!==0)return is;n=e.state,n.mode===Pa&&(n.mode=q2),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,d=a,f=l,C=Mc;e:for(;;)switch(n.mode){case z_:if(n.wrap===0){n.mode=q2;break}for(;c<16;){if(a===0)break e;a--,u+=r[o++]<>>8&255,n.check=Zr(n.check,A,2,0),u=0,c=0,n.mode=TP;break}if(n.head&&(n.head.done=!1),!(n.wrap&1)||(((u&255)<<8)+(u>>8))%31){e.msg="incorrect header check",n.mode=Hn;break}if((u&15)!==EP){e.msg="unknown compression method",n.mode=Hn;break}if(u>>>=4,c-=4,x=(u&15)+8,n.wbits===0&&(n.wbits=x),x>15||x>n.wbits){e.msg="invalid window size",n.mode=Hn;break}n.dmax=1<>8&1),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Zr(n.check,A,2,0)),u=0,c=0,n.mode=AP;case AP:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<>>8&255,A[2]=u>>>16&255,A[3]=u>>>24&255,n.check=Zr(n.check,A,4,0)),u=0,c=0,n.mode=kP;case kP:for(;c<16;){if(a===0)break e;a--,u+=r[o++]<>8),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Zr(n.check,A,2,0)),u=0,c=0,n.mode=PP;case PP:if(n.flags&1024){for(;c<16;){if(a===0)break e;a--,u+=r[o++]<>>8&255,n.check=Zr(n.check,A,2,0)),u=0,c=0}else n.head&&(n.head.extra=null);n.mode=RP;case RP:if(n.flags&1024&&(h=n.length,h>a&&(h=a),h&&(n.head&&(x=n.head.extra_len-n.length,n.head.extra||(n.head.extra=new Uint8Array(n.head.extra_len)),n.head.extra.set(r.subarray(o,o+h),x)),n.flags&512&&n.wrap&4&&(n.check=Zr(n.check,r,h,o)),a-=h,o+=h,n.length-=h),n.length))break e;n.length=0,n.mode=IP;case IP:if(n.flags&2048){if(a===0)break e;h=0;do x=r[o+h++],n.head&&x&&n.length<65536&&(n.head.name+=String.fromCharCode(x));while(x&&h>9&1,n.head.done=!0),e.adler=n.check=0,n.mode=Pa;break;case NP:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<>>=c&7,c-=c&7,n.mode=K2;break}for(;c<3;){if(a===0)break e;a--,u+=r[o++]<>>=1,c-=1,u&3){case 0:n.mode=DP;break;case 1:if(Bse(n),n.mode=Iy,t===Ry){u>>>=2,c-=2;break e}break;case 2:n.mode=$P;break;case 3:e.msg="invalid block type",n.mode=Hn}u>>>=2,c-=2;break;case DP:for(u>>>=c&7,c-=c&7;c<32;){if(a===0)break e;a--,u+=r[o++]<>>16^65535)){e.msg="invalid stored block lengths",n.mode=Hn;break}if(n.length=u&65535,u=0,c=0,n.mode=W2,t===Ry)break e;case W2:n.mode=LP;case LP:if(h=n.length,h){if(h>a&&(h=a),h>l&&(h=l),h===0)break e;i.set(r.subarray(o,o+h),s),a-=h,o+=h,l-=h,s+=h,n.length-=h;break}n.mode=Pa;break;case $P:for(;c<14;){if(a===0)break e;a--,u+=r[o++]<>>=5,c-=5,n.ndist=(u&31)+1,u>>>=5,c-=5,n.ncode=(u&15)+4,u>>>=4,c-=4,n.nlen>286||n.ndist>30){e.msg="too many length or distance symbols",n.mode=Hn;break}n.have=0,n.mode=FP;case FP:for(;n.have>>=3,c-=3}for(;n.have<19;)n.lens[L[n.have++]]=0;if(n.lencode=n.lendyn,n.lenbits=7,T={bits:n.lenbits},C=Ep(kse,n.lens,0,19,n.lencode,0,n.work,T),n.lenbits=T.bits,C){e.msg="invalid code lengths set",n.mode=Hn;break}n.have=0,n.mode=BP;case BP:for(;n.have>>24,y=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<>>=_,c-=_,n.lens[n.have++]=g;else{if(g===16){for(k=_+2;c>>=_,c-=_,n.have===0){e.msg="invalid bit length repeat",n.mode=Hn;break}x=n.lens[n.have-1],h=3+(u&3),u>>>=2,c-=2}else if(g===17){for(k=_+3;c>>=_,c-=_,x=0,h=3+(u&7),u>>>=3,c-=3}else{for(k=_+7;c>>=_,c-=_,x=0,h=11+(u&127),u>>>=7,c-=7}if(n.have+h>n.nlen+n.ndist){e.msg="invalid bit length repeat",n.mode=Hn;break}for(;h--;)n.lens[n.have++]=x}}if(n.mode===Hn)break;if(n.lens[256]===0){e.msg="invalid code -- missing end-of-block",n.mode=Hn;break}if(n.lenbits=9,T={bits:n.lenbits},C=Ep(lL,n.lens,0,n.nlen,n.lencode,0,n.work,T),n.lenbits=T.bits,C){e.msg="invalid literal/lengths set",n.mode=Hn;break}if(n.distbits=6,n.distcode=n.distdyn,T={bits:n.distbits},C=Ep(uL,n.lens,n.nlen,n.ndist,n.distcode,0,n.work,T),n.distbits=T.bits,C){e.msg="invalid distances set",n.mode=Hn;break}if(n.mode=Iy,t===Ry)break e;case Iy:n.mode=Oy;case Oy:if(a>=6&&l>=258){e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,wse(e,f),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,n.mode===Pa&&(n.back=-1);break}for(n.back=0;b=n.lencode[u&(1<>>24,y=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<>v)],_=b>>>24,y=b>>>16&255,g=b&65535,!(v+_<=c);){if(a===0)break e;a--,u+=r[o++]<>>=v,c-=v,n.back+=v}if(u>>>=_,c-=_,n.back+=_,n.length=g,y===0){n.mode=GP;break}if(y&32){n.back=-1,n.mode=Pa;break}if(y&64){e.msg="invalid literal/length code",n.mode=Hn;break}n.extra=y&15,n.mode=zP;case zP:if(n.extra){for(k=n.extra;c>>=n.extra,c-=n.extra,n.back+=n.extra}n.was=n.length,n.mode=UP;case UP:for(;b=n.distcode[u&(1<>>24,y=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<>v)],_=b>>>24,y=b>>>16&255,g=b&65535,!(v+_<=c);){if(a===0)break e;a--,u+=r[o++]<>>=v,c-=v,n.back+=v}if(u>>>=_,c-=_,n.back+=_,y&64){e.msg="invalid distance code",n.mode=Hn;break}n.offset=g,n.extra=y&15,n.mode=jP;case jP:if(n.extra){for(k=n.extra;c>>=n.extra,c-=n.extra,n.back+=n.extra}if(n.offset>n.dmax){e.msg="invalid distance too far back",n.mode=Hn;break}n.mode=VP;case VP:if(l===0)break e;if(h=f-l,n.offset>h){if(h=n.offset-h,h>n.whave&&n.sane){e.msg="invalid distance too far back",n.mode=Hn;break}h>n.wnext?(h-=n.wnext,p=n.wsize-h):p=n.wnext-h,h>n.length&&(h=n.length),m=n.window}else m=i,p=s-n.offset,h=n.length;h>l&&(h=l),l-=h,n.length-=h;do i[s++]=m[p++];while(--h);n.length===0&&(n.mode=Oy);break;case GP:if(l===0)break 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o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(U0);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(Hu)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===La&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(Hu)){const{scene:t,filter:n,hit:r}=this._cache.get(Hu);It.Util.releaseCanvas(t,n,r),this._cache.delete(Hu)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,c=n.drawBorder||!1,d=n.hitCanvasPixelRatio||1;if(!i||!o){It.Util.error("Can 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Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var f=new Xy.SceneCanvas({pixelRatio:s,width:i,height:o}),h=new Xy.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),p=new Xy.HitCanvas({pixelRatio:d,width:i,height:o}),m=f.getContext(),b=p.getContext();return p.isCache=!0,f.isCache=!0,this._cache.delete(Hu),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(f.getContext()._context.imageSmoothingEnabled=!1,h.getContext()._context.imageSmoothingEnabled=!1),m.save(),b.save(),m.translate(-a,-l),b.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(z0),this._clearSelfAndDescendantCache(U8),this.drawScene(f,this),this.drawHit(p,this),this._isUnderCache=!1,m.restore(),b.restore(),c&&(m.save(),m.beginPath(),m.rect(0,0,i,o),m.closePath(),m.setAttr("strokeStyle","red"),m.setAttr("lineWidth",5),m.stroke(),m.restore()),this._cache.set(Hu,{scene:f,filter:h,hit:p,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(Hu)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var c=l.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var c=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/c,r.getHeight()/c),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l{var n,r;if(!t)return this;for(n in t)n!==Nve&&(r=G8+It.Util._capitalize(n),It.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(n3,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(r3,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;jo.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!Gu.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==Lve&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(Al),this._clearSelfAndDescendantCache(La)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new It.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(Al);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(Al),this._clearSelfAndDescendantCache(La),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return It.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return It.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&It.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(z0,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=It.Util.isObject(i)&&!It.Util._isPlainObject(i)&&!It.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),It.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i{try{const i=t==null?void 0:t.callback;i&&delete t.callback,It.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():Gu.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o=0;if(r&&!this.isDragging()){var i=!1;jo.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=jo.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&jo.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return It.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return It.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=ut.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),Gu.Konva[r]||(It.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=Gu.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=Cw.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=Cw.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const c=r===this;if(u){o.save();var d=this.getAbsoluteTransform(r),f=d.getMatrix();o.transform(f[0],f[1],f[2],f[3],f[4],f[5]),o.beginPath();let b;if(l)b=l.call(this,o,this);else{var h=this.clipX(),p=this.clipY();o.rect(h,p,s,a)}o.clip.apply(o,b),f=d.copy().invert().getMatrix(),o.transform(f[0],f[1],f[2],f[3],f[4],f[5])}var m=!c&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";m&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(b){b[t](n,r)}),m&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},c=this;(n=this.children)===null||n===void 0||n.forEach(function(m){if(m.visible()){var b=m.getClientRect({relativeTo:c,skipShadow:t.skipShadow,skipStroke:t.skipStroke});b.width===0&&b.height===0||(o===void 0?(o=b.x,s=b.y,a=b.x+b.width,l=b.y+b.height):(o=Math.min(o,b.x),s=Math.min(s,b.y),a=Math.max(a,b.x+b.width),l=Math.max(l,b.y+b.height)))}});for(var d=this.find("Shape"),f=!1,h=0;hQ.indexOf("pointer")>=0?"pointer":Q.indexOf("touch")>=0?"touch":"mouse",U=Q=>{const j=F(Q);if(j==="pointer")return i.Konva.pointerEventsEnabled&&O.pointer;if(j==="touch")return O.touch;if(j==="mouse")return O.mouse};function V(Q={}){return(Q.clipFunc||Q.clipWidth||Q.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),Q}const H="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class Y extends r.Container{constructor(j){super(V(j)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{V(this.attrs)}),this._checkVisibility()}_validateAdd(j){const K=j.getType()==="Layer",te=j.getType()==="FastLayer";K||te||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const j=this.visible()?"":"none";this.content.style.display=j}setContainer(j){if(typeof j===c){if(j.charAt(0)==="."){var K=j.slice(1);j=document.getElementsByClassName(K)[0]}else{var te;j.charAt(0)!=="#"?te=j:te=j.slice(1),j=document.getElementById(te)}if(!j)throw"Can not find container in document with id "+te}return this._setAttr("container",j),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),j.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var j=this.children,K=j.length,te;for(te=0;te-1&&e.stages.splice(K,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const j=this._pointerPositions[0]||this._changedPointerPositions[0];return j?{x:j.x,y:j.y}:(t.Util.warn(H),null)}_getPointerById(j){return this._pointerPositions.find(K=>K.id===j)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(j){j=j||{},j.x=j.x||0,j.y=j.y||0,j.width=j.width||this.width(),j.height=j.height||this.height();var K=new o.SceneCanvas({width:j.width,height:j.height,pixelRatio:j.pixelRatio||1}),te=K.getContext()._context,oe=this.children;return(j.x||j.y)&&te.translate(-1*j.x,-1*j.y),oe.forEach(function(me){if(me.isVisible()){var le=me._toKonvaCanvas(j);te.drawImage(le._canvas,j.x,j.y,le.getWidth()/le.getPixelRatio(),le.getHeight()/le.getPixelRatio())}}),K}getIntersection(j){if(!j)return null;var K=this.children,te=K.length,oe=te-1,me;for(me=oe;me>=0;me--){const le=K[me].getIntersection(j);if(le)return le}return null}_resizeDOM(){var j=this.width(),K=this.height();this.content&&(this.content.style.width=j+d,this.content.style.height=K+d),this.bufferCanvas.setSize(j,K),this.bufferHitCanvas.setSize(j,K),this.children.forEach(te=>{te.setSize({width:j,height:K}),te.draw()})}add(j,...K){if(arguments.length>1){for(var te=0;teR&&t.Util.warn("The stage has "+oe+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),j.setSize({width:this.width(),height:this.height()}),j.draw(),i.Konva.isBrowser&&this.content.appendChild(j.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(j){return l.hasPointerCapture(j,this)}setPointerCapture(j){l.setPointerCapture(j,this)}releaseCapture(j){l.releaseCapture(j,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&I.forEach(([j,K])=>{this.content.addEventListener(j,te=>{this[K](te)},{passive:!1})})}_pointerenter(j){this.setPointersPositions(j);const K=U(j.type);this._fire(K.pointerenter,{evt:j,target:this,currentTarget:this})}_pointerover(j){this.setPointersPositions(j);const K=U(j.type);this._fire(K.pointerover,{evt:j,target:this,currentTarget:this})}_getTargetShape(j){let K=this[j+"targetShape"];return K&&!K.getStage()&&(K=null),K}_pointerleave(j){const K=U(j.type),te=F(j.type);if(K){this.setPointersPositions(j);var oe=this._getTargetShape(te),me=!s.DD.isDragging||i.Konva.hitOnDragEnabled;oe&&me?(oe._fireAndBubble(K.pointerout,{evt:j}),oe._fireAndBubble(K.pointerleave,{evt:j}),this._fire(K.pointerleave,{evt:j,target:this,currentTarget:this}),this[te+"targetShape"]=null):me&&(this._fire(K.pointerleave,{evt:j,target:this,currentTarget:this}),this._fire(K.pointerout,{evt:j,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(j){const K=U(j.type),te=F(j.type);if(K){this.setPointersPositions(j);var oe=!1;this._changedPointerPositions.forEach(me=>{var le=this.getIntersection(me);if(s.DD.justDragged=!1,i.Konva["_"+te+"ListenClick"]=!0,!(le&&le.isListening()))return;i.Konva.capturePointerEventsEnabled&&le.setPointerCapture(me.id),this[te+"ClickStartShape"]=le,le._fireAndBubble(K.pointerdown,{evt:j,pointerId:me.id}),oe=!0;const nt=j.type.indexOf("touch")>=0;le.preventDefault()&&j.cancelable&&nt&&j.preventDefault()}),oe||this._fire(K.pointerdown,{evt:j,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(j){const K=U(j.type),te=F(j.type);if(!K)return;s.DD.isDragging&&s.DD.node.preventDefault()&&j.cancelable&&j.preventDefault(),this.setPointersPositions(j);var oe=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!oe)return;var me={};let le=!1;var ht=this._getTargetShape(te);this._changedPointerPositions.forEach(nt=>{const $e=l.getCapturedShape(nt.id)||this.getIntersection(nt),ct=nt.id,Pe={evt:j,pointerId:ct};var qt=ht!==$e;if(qt&&ht&&(ht._fireAndBubble(K.pointerout,Object.assign({},Pe),$e),ht._fireAndBubble(K.pointerleave,Object.assign({},Pe),$e)),$e){if(me[$e._id])return;me[$e._id]=!0}$e&&$e.isListening()?(le=!0,qt&&($e._fireAndBubble(K.pointerover,Object.assign({},Pe),ht),$e._fireAndBubble(K.pointerenter,Object.assign({},Pe),ht),this[te+"targetShape"]=$e),$e._fireAndBubble(K.pointermove,Object.assign({},Pe))):ht&&(this._fire(K.pointerover,{evt:j,target:this,currentTarget:this,pointerId:ct}),this[te+"targetShape"]=null)}),le||this._fire(K.pointermove,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(j){const K=U(j.type),te=F(j.type);if(!K)return;this.setPointersPositions(j);const oe=this[te+"ClickStartShape"],me=this[te+"ClickEndShape"];var le={};let ht=!1;this._changedPointerPositions.forEach(nt=>{const $e=l.getCapturedShape(nt.id)||this.getIntersection(nt);if($e){if($e.releaseCapture(nt.id),le[$e._id])return;le[$e._id]=!0}const ct=nt.id,Pe={evt:j,pointerId:ct};let qt=!1;i.Konva["_"+te+"InDblClickWindow"]?(qt=!0,clearTimeout(this[te+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+te+"InDblClickWindow"]=!0,clearTimeout(this[te+"DblTimeout"])),this[te+"DblTimeout"]=setTimeout(function(){i.Konva["_"+te+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),$e&&$e.isListening()?(ht=!0,this[te+"ClickEndShape"]=$e,$e._fireAndBubble(K.pointerup,Object.assign({},Pe)),i.Konva["_"+te+"ListenClick"]&&oe&&oe===$e&&($e._fireAndBubble(K.pointerclick,Object.assign({},Pe)),qt&&me&&me===$e&&$e._fireAndBubble(K.pointerdblclick,Object.assign({},Pe)))):(this[te+"ClickEndShape"]=null,i.Konva["_"+te+"ListenClick"]&&this._fire(K.pointerclick,{evt:j,target:this,currentTarget:this,pointerId:ct}),qt&&this._fire(K.pointerdblclick,{evt:j,target:this,currentTarget:this,pointerId:ct}))}),ht||this._fire(K.pointerup,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+te+"ListenClick"]=!1,j.cancelable&&te!=="touch"&&j.preventDefault()}_contextmenu(j){this.setPointersPositions(j);var K=this.getIntersection(this.getPointerPosition());K&&K.isListening()?K._fireAndBubble(L,{evt:j}):this._fire(L,{evt:j,target:this,currentTarget:this})}_wheel(j){this.setPointersPositions(j);var K=this.getIntersection(this.getPointerPosition());K&&K.isListening()?K._fireAndBubble(B,{evt:j}):this._fire(B,{evt:j,target:this,currentTarget:this})}_pointercancel(j){this.setPointersPositions(j);const K=l.getCapturedShape(j.pointerId)||this.getIntersection(this.getPointerPosition());K&&K._fireAndBubble(S,l.createEvent(j)),l.releaseCapture(j.pointerId)}_lostpointercapture(j){l.releaseCapture(j.pointerId)}setPointersPositions(j){var K=this._getContentPosition(),te=null,oe=null;j=j||window.event,j.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(j.touches,me=>{this._pointerPositions.push({id:me.identifier,x:(me.clientX-K.left)/K.scaleX,y:(me.clientY-K.top)/K.scaleY})}),Array.prototype.forEach.call(j.changedTouches||j.touches,me=>{this._changedPointerPositions.push({id:me.identifier,x:(me.clientX-K.left)/K.scaleX,y:(me.clientY-K.top)/K.scaleY})})):(te=(j.clientX-K.left)/K.scaleX,oe=(j.clientY-K.top)/K.scaleY,this.pointerPos={x:te,y:oe},this._pointerPositions=[{x:te,y:oe,id:t.Util._getFirstPointerId(j)}],this._changedPointerPositions=[{x:te,y:oe,id:t.Util._getFirstPointerId(j)}])}_setPointerPosition(j){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(j)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var j=this.content.getBoundingClientRect();return{top:j.top,left:j.left,scaleX:j.width/this.content.clientWidth||1,scaleY:j.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var j=this.container();if(!j)throw"Stage has no container. A container is required.";j.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),j.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(j){j.batchDraw()}),this}}e.Stage=Y,Y.prototype.nodeType=u,(0,a._registerNode)(Y),n.Factory.addGetterSetter(Y,"container")})(az);var zm={},jr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=At,n=sr,r=Et,i=Qn,o=We,s=At,a=ko;var l="hasShadow",u="shadowRGBA",c="patternImage",d="linearGradient",f="radialGradient";let h;function p(){return h||(h=n.Util.createCanvasElement().getContext("2d"),h)}e.shapes={};function m(A){const T=this.attrs.fillRule;T?A.fill(T):A.fill()}function b(A){A.stroke()}function _(A){A.fill()}function y(A){A.stroke()}function g(){this._clearCache(l)}function v(){this._clearCache(u)}function S(){this._clearCache(c)}function w(){this._clearCache(d)}function x(){this._clearCache(f)}class C extends i.Node{constructor(T){super(T);let k;for(;k=n.Util.getRandomColor(),!(k&&!(k in e.shapes)););this.colorKey=k,e.shapes[k]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(c,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var T=p();const k=T.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(k&&k.setTransform){const L=new n.Transform;L.translate(this.fillPatternX(),this.fillPatternY()),L.rotate(t.Konva.getAngle(this.fillPatternRotation())),L.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),L.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const N=L.getMatrix(),E=typeof DOMMatrix>"u"?{a:N[0],b:N[1],c:N[2],d:N[3],e:N[4],f:N[5]}:new DOMMatrix(N);k.setTransform(E)}return k}}_getLinearGradient(){return this._getCache(d,this.__getLinearGradient)}__getLinearGradient(){var T=this.fillLinearGradientColorStops();if(T){for(var k=p(),L=this.fillLinearGradientStartPoint(),N=this.fillLinearGradientEndPoint(),E=k.createLinearGradient(L.x,L.y,N.x,N.y),P=0;Pthis.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const T=this.hitStrokeWidth();return T==="auto"?this.hasStroke():this.strokeEnabled()&&!!T}intersects(T){var k=this.getStage(),L=k.bufferHitCanvas,N;return L.getContext().clear(),this.drawHit(L,null,!0),N=L.context.getImageData(Math.round(T.x),Math.round(T.y),1,1).data,N[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(T){var k;if(!this.getStage()||!((k=this.attrs.perfectDrawEnabled)!==null&&k!==void 0?k:!0))return!1;const N=T||this.hasFill(),E=this.hasStroke(),P=this.getAbsoluteOpacity()!==1;if(N&&E&&P)return!0;const D=this.hasShadow(),B=this.shadowForStrokeEnabled();return!!(N&&E&&D&&B)}setStrokeHitEnabled(T){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),T?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var T=this.size();return{x:this._centroid?-T.width/2:0,y:this._centroid?-T.height/2:0,width:T.width,height:T.height}}getClientRect(T={}){const k=T.skipTransform,L=T.relativeTo,N=this.getSelfRect(),P=!T.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,D=N.width+P,B=N.height+P,R=!T.skipShadow&&this.hasShadow(),I=R?this.shadowOffsetX():0,O=R?this.shadowOffsetY():0,F=D+Math.abs(I),U=B+Math.abs(O),V=R&&this.shadowBlur()||0,H=F+V*2,Y=U+V*2,Q={width:H,height:Y,x:-(P/2+V)+Math.min(I,0)+N.x,y:-(P/2+V)+Math.min(O,0)+N.y};return k?Q:this._transformedRect(Q,L)}drawScene(T,k){var L=this.getLayer(),N=T||L.getCanvas(),E=N.getContext(),P=this._getCanvasCache(),D=this.getSceneFunc(),B=this.hasShadow(),R,I,O,F=N.isCache,U=k===this;if(!this.isVisible()&&!U)return this;if(P){E.save();var V=this.getAbsoluteTransform(k).getMatrix();return E.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedSceneCanvas(E),E.restore(),this}if(!D)return this;if(E.save(),this._useBufferCanvas()&&!F){R=this.getStage(),I=R.bufferCanvas,O=I.getContext(),O.clear(),O.save(),O._applyLineJoin(this);var H=this.getAbsoluteTransform(k).getMatrix();O.transform(H[0],H[1],H[2],H[3],H[4],H[5]),D.call(this,O,this),O.restore();var Y=I.pixelRatio;B&&E._applyShadow(this),E._applyOpacity(this),E._applyGlobalCompositeOperation(this),E.drawImage(I._canvas,0,0,I.width/Y,I.height/Y)}else{if(E._applyLineJoin(this),!U){var H=this.getAbsoluteTransform(k).getMatrix();E.transform(H[0],H[1],H[2],H[3],H[4],H[5]),E._applyOpacity(this),E._applyGlobalCompositeOperation(this)}B&&E._applyShadow(this),D.call(this,E,this)}return E.restore(),this}drawHit(T,k,L=!1){if(!this.shouldDrawHit(k,L))return this;var N=this.getLayer(),E=T||N.hitCanvas,P=E&&E.getContext(),D=this.hitFunc()||this.sceneFunc(),B=this._getCanvasCache(),R=B&&B.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),R){P.save();var I=this.getAbsoluteTransform(k).getMatrix();return P.transform(I[0],I[1],I[2],I[3],I[4],I[5]),this._drawCachedHitCanvas(P),P.restore(),this}if(!D)return this;if(P.save(),P._applyLineJoin(this),!(this===k)){var F=this.getAbsoluteTransform(k).getMatrix();P.transform(F[0],F[1],F[2],F[3],F[4],F[5])}return D.call(this,P,this),P.restore(),this}drawHitFromCache(T=0){var k=this._getCanvasCache(),L=this._getCachedSceneCanvas(),N=k.hit,E=N.getContext(),P=N.getWidth(),D=N.getHeight(),B,R,I,O,F,U;E.clear(),E.drawImage(L._canvas,0,0,P,D);try{for(B=E.getImageData(0,0,P,D),R=B.data,I=R.length,O=n.Util._hexToRgb(this.colorKey),F=0;FT?(R[F]=O.r,R[F+1]=O.g,R[F+2]=O.b,R[F+3]=255):R[F+3]=0;E.putImageData(B,0,0)}catch(V){n.Util.error("Unable to draw hit graph from cached scene canvas. "+V.message)}return this}hasPointerCapture(T){return a.hasPointerCapture(T,this)}setPointerCapture(T){a.setPointerCapture(T,this)}releaseCapture(T){a.releaseCapture(T,this)}}e.Shape=C,C.prototype._fillFunc=m,C.prototype._strokeFunc=b,C.prototype._fillFuncHit=_,C.prototype._strokeFuncHit=y,C.prototype._centroid=!1,C.prototype.nodeType="Shape",(0,s._registerNode)(C),C.prototype.eventListeners={},C.prototype.on.call(C.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",g),C.prototype.on.call(C.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",v),C.prototype.on.call(C.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",S),C.prototype.on.call(C.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",w),C.prototype.on.call(C.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",x),r.Factory.addGetterSetter(C,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(C,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(C,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(C,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(C,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(C,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(C,"lineJoin"),r.Factory.addGetterSetter(C,"lineCap"),r.Factory.addGetterSetter(C,"sceneFunc"),r.Factory.addGetterSetter(C,"hitFunc"),r.Factory.addGetterSetter(C,"dash"),r.Factory.addGetterSetter(C,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(C,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(C,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(C,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternImage"),r.Factory.addGetterSetter(C,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(C,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(C,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(C,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(C,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(C,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(C,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(C,"fillEnabled",!0),r.Factory.addGetterSetter(C,"strokeEnabled",!0),r.Factory.addGetterSetter(C,"shadowEnabled",!0),r.Factory.addGetterSetter(C,"dashEnabled",!0),r.Factory.addGetterSetter(C,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(C,"fillPriority","color"),r.Factory.addComponentsGetterSetter(C,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(C,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(C,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(C,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(C,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(C,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(C,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(C,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(C,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(C,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(C,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(C,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(C,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(C,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(C,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(C,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(C,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(C,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(C,"fillPatternRotation",0),r.Factory.addGetterSetter(C,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(C,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(jr);Object.defineProperty(zm,"__esModule",{value:!0});zm.Layer=void 0;const Oa=sr,Ew=Yc,xd=Qn,wT=Et,W8=Ns,Vve=We,Gve=jr,Hve=At;var qve="#",Wve="beforeDraw",Kve="draw",cz=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],Xve=cz.length;class fh extends Ew.Container{constructor(t){super(t),this.canvas=new W8.SceneCanvas,this.hitCanvas=new W8.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(Wve,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),Ew.Container.prototype.drawScene.call(this,i,n),this._fire(Kve,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),Ew.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){Oa.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return Oa.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return Oa.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}zm.Layer=fh;fh.prototype.nodeType="Layer";(0,Hve._registerNode)(fh);wT.Factory.addGetterSetter(fh,"imageSmoothingEnabled",!0);wT.Factory.addGetterSetter(fh,"clearBeforeDraw",!0);wT.Factory.addGetterSetter(fh,"hitGraphEnabled",!0,(0,Vve.getBooleanValidator)());var Hb={};Object.defineProperty(Hb,"__esModule",{value:!0});Hb.FastLayer=void 0;const Qve=sr,Yve=zm,Zve=At;class xT extends Yve.Layer{constructor(t){super(t),this.listening(!1),Qve.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}Hb.FastLayer=xT;xT.prototype.nodeType="FastLayer";(0,Zve._registerNode)(xT);var hh={};Object.defineProperty(hh,"__esModule",{value:!0});hh.Group=void 0;const Jve=sr,e1e=Yc,t1e=At;class CT extends e1e.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&Jve.Util.throw("You may only add groups and shapes to groups.")}}hh.Group=CT;CT.prototype.nodeType="Group";(0,t1e._registerNode)(CT);var ph={};Object.defineProperty(ph,"__esModule",{value:!0});ph.Animation=void 0;const Tw=At,K8=sr;var Aw=function(){return Tw.glob.performance&&Tw.glob.performance.now?function(){return Tw.glob.performance.now()}:function(){return new Date().getTime()}}();class na{constructor(t,n){this.id=na.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Aw(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;ithis.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():p<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=p,this.update())}getTime(){return this._time}setPosition(p){this.prevPos=this._pos,this.propFunc(p),this._pos=p}getPosition(p){return p===void 0&&(p=this._time),this.func(p,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(p){this.pause(),this._time=p,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var p=this.getTimer()-this._startTime;this.state===a?this.setTime(p):this.state===l&&this.setTime(this.duration-p)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class f{constructor(p){var m=this,b=p.node,_=b._id,y,g=p.easing||e.Easings.Linear,v=!!p.yoyo,S;typeof p.duration>"u"?y=.3:p.duration===0?y=.001:y=p.duration,this.node=b,this._id=u++;var w=b.getLayer()||(b instanceof i.Konva.Stage?b.getLayers():null);w||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){m.tween.onEnterFrame()},w),this.tween=new d(S,function(x){m._tweenFunc(x)},g,0,1,y*1e3,v),this._addListeners(),f.attrs[_]||(f.attrs[_]={}),f.attrs[_][this._id]||(f.attrs[_][this._id]={}),f.tweens[_]||(f.tweens[_]={});for(S in p)o[S]===void 0&&this._addAttr(S,p[S]);this.reset(),this.onFinish=p.onFinish,this.onReset=p.onReset,this.onUpdate=p.onUpdate}_addAttr(p,m){var b=this.node,_=b._id,y,g,v,S,w,x,C,A;if(v=f.tweens[_][p],v&&delete f.attrs[_][v][p],y=b.getAttr(p),t.Util._isArray(m))if(g=[],w=Math.max(m.length,y.length),p==="points"&&m.length!==y.length&&(m.length>y.length?(C=y,y=t.Util._prepareArrayForTween(y,m,b.closed())):(x=m,m=t.Util._prepareArrayForTween(m,y,b.closed()))),p.indexOf("fill")===0)for(S=0;S{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueEnd&&p.setAttr("points",m.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueStart&&p.points(m.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(p){return this.tween.seek(p*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var p=this.node._id,m=this._id,b=f.tweens[p],_;this.pause();for(_ in b)delete f.tweens[p][_];delete f.attrs[p][m]}}e.Tween=f,f.attrs={},f.tweens={},r.Node.prototype.to=function(h){var p=h.onFinish;h.node=this,h.onFinish=function(){this.destroy(),p&&p()};var m=new f(h);m.play()},e.Easings={BackEaseIn(h,p,m,b){var _=1.70158;return m*(h/=b)*h*((_+1)*h-_)+p},BackEaseOut(h,p,m,b){var _=1.70158;return m*((h=h/b-1)*h*((_+1)*h+_)+1)+p},BackEaseInOut(h,p,m,b){var _=1.70158;return(h/=b/2)<1?m/2*(h*h*(((_*=1.525)+1)*h-_))+p:m/2*((h-=2)*h*(((_*=1.525)+1)*h+_)+2)+p},ElasticEaseIn(h,p,m,b,_,y){var g=0;return h===0?p:(h/=b)===1?p+m:(y||(y=b*.3),!_||_0?t:n),c=s*n,d=a*(a>0?t:n),f=l*(l>0?n:t);return{x:u,y:r?-1*f:d,width:c-u,height:f-d}}}qb.Arc=yl;yl.prototype._centroid=!0;yl.prototype.className="Arc";yl.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,r1e._registerNode)(yl);Wb.Factory.addGetterSetter(yl,"innerRadius",0,(0,Kb.getNumberValidator)());Wb.Factory.addGetterSetter(yl,"outerRadius",0,(0,Kb.getNumberValidator)());Wb.Factory.addGetterSetter(yl,"angle",0,(0,Kb.getNumberValidator)());Wb.Factory.addGetterSetter(yl,"clockwise",!1,(0,Kb.getBooleanValidator)());var Xb={},Um={};Object.defineProperty(Um,"__esModule",{value:!0});Um.Line=void 0;const Qb=Et,i1e=jr,fz=We,o1e=At;function i3(e,t,n,r,i,o,s){var a=Math.sqrt(Math.pow(n-e,2)+Math.pow(r-t,2)),l=Math.sqrt(Math.pow(i-n,2)+Math.pow(o-r,2)),u=s*a/(a+l),c=s*l/(a+l),d=n-u*(i-e),f=r-u*(o-t),h=n+c*(i-e),p=r+c*(o-t);return[d,f,h,p]}function Q8(e,t){var n=e.length,r=[],i,o;for(i=2;i4){for(a=this.getTensionPoints(),l=a.length,u=o?0:4,o||t.quadraticCurveTo(a[0],a[1],a[2],a[3]);u{let u,c,d;u=l/2,c=0;for(let h=0;h<20;h++)d=u*e.tValues[20][h]+u,c+=e.cValues[20][h]*r(s,a,d);return u*c};e.getCubicArcLength=t;const n=(s,a,l)=>{l===void 0&&(l=1);const u=s[0]-2*s[1]+s[2],c=a[0]-2*a[1]+a[2],d=2*s[1]-2*s[0],f=2*a[1]-2*a[0],h=4*(u*u+c*c),p=4*(u*d+c*f),m=d*d+f*f;if(h===0)return l*Math.sqrt(Math.pow(s[2]-s[0],2)+Math.pow(a[2]-a[0],2));const b=p/(2*h),_=m/h,y=l+b,g=_-b*b,v=y*y+g>0?Math.sqrt(y*y+g):0,S=b*b+g>0?Math.sqrt(b*b+g):0,w=b+Math.sqrt(b*b+g)!==0?g*Math.log(Math.abs((y+v)/(b+S))):0;return Math.sqrt(h)/2*(y*v-b*S+w)};e.getQuadraticArcLength=n;function r(s,a,l){const u=i(1,l,s),c=i(1,l,a),d=u*u+c*c;return Math.sqrt(d)}const i=(s,a,l)=>{const u=l.length-1;let c,d;if(u===0)return 0;if(s===0){d=0;for(let f=0;f<=u;f++)d+=e.binomialCoefficients[u][f]*Math.pow(1-a,u-f)*Math.pow(a,f)*l[f];return d}else{c=new Array(u);for(let f=0;f{let u=1,c=s/a,d=(s-l(c))/a,f=0;for(;u>.001;){const h=l(c+d),p=Math.abs(s-h)/a;if(p500)break}return c};e.t2length=o})(hz);Object.defineProperty(gh,"__esModule",{value:!0});gh.Path=void 0;const s1e=Et,a1e=jr,l1e=At,Cd=hz;class Dr extends a1e.Shape{constructor(t){super(t),this.dataArray=[],this.pathLength=0,this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute()})}_readDataAttribute(){this.dataArray=Dr.parsePathData(this.data()),this.pathLength=Dr.getPathLength(this.dataArray)}_sceneFunc(t){var n=this.dataArray;t.beginPath();for(var r=!1,i=0;ic?u:c,b=u>c?1:u/c,_=u>c?c/u:1;t.translate(a,l),t.rotate(h),t.scale(b,_),t.arc(0,0,m,d,d+f,1-p),t.scale(1/b,1/_),t.rotate(-h),t.translate(-a,-l);break;case"z":r=!0,t.closePath();break}}!r&&!this.hasFill()?t.strokeShape(this):t.fillStrokeShape(this)}getSelfRect(){var t=[];this.dataArray.forEach(function(u){if(u.command==="A"){var c=u.points[4],d=u.points[5],f=u.points[4]+d,h=Math.PI/180;if(Math.abs(c-f)f;p-=h){const m=Dr.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],p,0);t.push(m.x,m.y)}else for(let p=c+h;pn[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return Dr.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return Dr.getPointOnCubicBezier((0,Cd.t2length)(t,Dr.getPathLength(n),m=>(0,Cd.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return Dr.getPointOnQuadraticBezier((0,Cd.t2length)(t,Dr.getPathLength(n),m=>(0,Cd.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],c=a[2],d=a[3],f=a[4],h=a[5],p=a[6];return f+=h*t/s.pathLength,Dr.getPointOnEllipticalArc(l,u,c,d,f,p)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i0&&!isNaN(p[0]);){var y=null,g=[],v=l,S=u,w,x,C,A,T,k,L,N,E,P;switch(h){case"l":l+=p.shift(),u+=p.shift(),y="L",g.push(l,u);break;case"L":l=p.shift(),u=p.shift(),g.push(l,u);break;case"m":var D=p.shift(),B=p.shift();if(l+=D,u+=B,y="M",s.length>2&&s[s.length-1].command==="z"){for(var R=s.length-2;R>=0;R--)if(s[R].command==="M"){l=s[R].points[0]+D,u=s[R].points[1]+B;break}}g.push(l,u),h="l";break;case"M":l=p.shift(),u=p.shift(),y="M",g.push(l,u),h="L";break;case"h":l+=p.shift(),y="L",g.push(l,u);break;case"H":l=p.shift(),y="L",g.push(l,u);break;case"v":u+=p.shift(),y="L",g.push(l,u);break;case"V":u=p.shift(),y="L",g.push(l,u);break;case"C":g.push(p.shift(),p.shift(),p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"c":g.push(l+p.shift(),u+p.shift(),l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="C",g.push(l,u);break;case"S":x=l,C=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),C=u+(u-w.points[3])),g.push(x,C,p.shift(),p.shift()),l=p.shift(),u=p.shift(),y="C",g.push(l,u);break;case"s":x=l,C=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),C=u+(u-w.points[3])),g.push(x,C,l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="C",g.push(l,u);break;case"Q":g.push(p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"q":g.push(l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="Q",g.push(l,u);break;case"T":x=l,C=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),C=u+(u-w.points[1])),l=p.shift(),u=p.shift(),y="Q",g.push(x,C,l,u);break;case"t":x=l,C=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),C=u+(u-w.points[1])),l+=p.shift(),u+=p.shift(),y="Q",g.push(x,C,l,u);break;case"A":A=p.shift(),T=p.shift(),k=p.shift(),L=p.shift(),N=p.shift(),E=l,P=u,l=p.shift(),u=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(E,P,l,u,L,N,A,T,k);break;case"a":A=p.shift(),T=p.shift(),k=p.shift(),L=p.shift(),N=p.shift(),E=l,P=u,l+=p.shift(),u+=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(E,P,l,u,L,N,A,T,k);break}s.push({command:y||h,points:g,start:{x:v,y:S},pathLength:this.calcLength(v,S,y||h,g)})}(h==="z"||h==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=Dr;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,Cd.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,Cd.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var c=i[4],d=i[5],f=i[4]+d,h=Math.PI/180;if(Math.abs(c-f)f;l-=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=c+h;l1&&(a*=Math.sqrt(h),l*=Math.sqrt(h));var p=Math.sqrt((a*a*(l*l)-a*a*(f*f)-l*l*(d*d))/(a*a*(f*f)+l*l*(d*d)));o===s&&(p*=-1),isNaN(p)&&(p=0);var m=p*a*f/l,b=p*-l*d/a,_=(t+r)/2+Math.cos(c)*m-Math.sin(c)*b,y=(n+i)/2+Math.sin(c)*m+Math.cos(c)*b,g=function(T){return 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c=(Math.atan2(u,l)+n)%n,d=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(c),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}Xb.Arrow=Jc;Jc.prototype.className="Arrow";(0,c1e._registerNode)(Jc);Yb.Factory.addGetterSetter(Jc,"pointerLength",10,(0,pz.getNumberValidator)());Yb.Factory.addGetterSetter(Jc,"pointerWidth",10,(0,pz.getNumberValidator)());Yb.Factory.addGetterSetter(Jc,"pointerAtBeginning",!1);Yb.Factory.addGetterSetter(Jc,"pointerAtEnding",!0);var Zb={};Object.defineProperty(Zb,"__esModule",{value:!0});Zb.Circle=void 0;const d1e=Et,f1e=jr,h1e=We,p1e=At;let mh=class extends f1e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return 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this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}Jb.Ellipse=Nu;Nu.prototype.className="Ellipse";Nu.prototype._centroid=!0;Nu.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,m1e._registerNode)(Nu);ET.Factory.addComponentsGetterSetter(Nu,"radius",["x","y"]);ET.Factory.addGetterSetter(Nu,"radiusX",0,(0,gz.getNumberValidator)());ET.Factory.addGetterSetter(Nu,"radiusY",0,(0,gz.getNumberValidator)());var eS={};Object.defineProperty(eS,"__esModule",{value:!0});eS.Image=void 0;const kw=sr,ed=Et,y1e=jr,v1e=At,jm=We;let Ca=class mz extends y1e.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let 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b1e.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}rS.RegularPolygon=nd;nd.prototype.className="RegularPolygon";nd.prototype._centroid=!0;nd.prototype._attrsAffectingSize=["radius"];(0,R1e._registerNode)(nd);_z.Factory.addGetterSetter(nd,"radius",0,(0,bz.getNumberValidator)());_z.Factory.addGetterSetter(nd,"sides",0,(0,bz.getNumberValidator)());var iS={};Object.defineProperty(iS,"__esModule",{value:!0});iS.Ring=void 0;const Sz=Et,I1e=jr,wz=We,O1e=At;var Z8=Math.PI*2;class rd extends I1e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,Z8,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),Z8,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}iS.Ring=rd;rd.prototype.className="Ring";rd.prototype._centroid=!0;rd.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,O1e._registerNode)(rd);Sz.Factory.addGetterSetter(rd,"innerRadius",0,(0,wz.getNumberValidator)());Sz.Factory.addGetterSetter(rd,"outerRadius",0,(0,wz.getNumberValidator)());var oS={};Object.defineProperty(oS,"__esModule",{value:!0});oS.Sprite=void 0;const id=Et,M1e=jr,N1e=ph,xz=We,D1e=At;class Ea extends M1e.Shape{constructor(t){super(t),this._updated=!0,this.anim=new N1e.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+0],l=o[i+1],u=o[i+2],c=o[i+3],d=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,c),t.closePath(),t.fillStrokeShape(this)),d)if(s){var f=s[n],h=r*2;t.drawImage(d,a,l,u,c,f[h+0],f[h+1],u,c)}else t.drawImage(d,a,l,u,c,0,0,u,c)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+2],l=o[i+3];if(t.beginPath(),s){var u=s[n],c=r*2;t.rect(u[c+0],u[c+1],a,l)}else t.rect(0,0,a,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var Zy;function Rw(){return Zy||(Zy=u3.Util.createCanvasElement().getContext(j1e),Zy)}function J1e(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function e_e(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function t_e(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}let br=class extends F1e.Shape{constructor(t){super(t_e(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n1&&(_+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=u3.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(V1e,n),this}getWidth(){var t=this.attrs.width===Ed||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===Ed||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return u3.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}measureSize(t){var n=Rw(),r=this.fontSize(),i;return n.save(),n.font=this._getContextFont(),i=n.measureText(t),n.restore(),{width:i.width,height:r}}_getContextFont(){return this.fontStyle()+Yy+this.fontVariant()+Yy+(this.fontSize()+W1e)+Z1e(this.fontFamily())}_addTextLine(t){this.align()===Vh&&(t=t.trim());var r=this._getTextWidth(t);return this.textArr.push({text:t,width:r,lastInParagraph:!1})}_getTextWidth(t){var n=this.letterSpacing(),r=t.length;return Rw().measureText(t).width+(r?n*(r-1):0)}_setTextData(){var t=this.text().split(` +`),n=+this.fontSize(),r=0,i=this.lineHeight()*n,o=this.attrs.width,s=this.attrs.height,a=o!==Ed&&o!==void 0,l=s!==Ed&&s!==void 0,u=this.padding(),c=o-u*2,d=s-u*2,f=0,h=this.wrap(),p=h!==tR,m=h!==Q1e&&p,b=this.ellipsis();this.textArr=[],Rw().font=this._getContextFont();for(var _=b?this._getTextWidth(Pw):0,y=0,g=t.length;yc)for(;v.length>0;){for(var w=0,x=v.length,C="",A=0;w>>1,k=v.slice(0,T+1),L=this._getTextWidth(k)+_;L<=c?(w=T+1,C=k,A=L):x=T}if(C){if(m){var N,E=v[C.length],P=E===Yy||E===J8;P&&A<=c?N=C.length:N=Math.max(C.lastIndexOf(Yy),C.lastIndexOf(J8))+1,N>0&&(w=N,C=C.slice(0,w),A=this._getTextWidth(C))}C=C.trimRight(),this._addTextLine(C),r=Math.max(r,A),f+=i;var D=this._shouldHandleEllipsis(f);if(D){this._tryToAddEllipsisToLastLine();break}if(v=v.slice(w),v=v.trimLeft(),v.length>0&&(S=this._getTextWidth(v),S<=c)){this._addTextLine(v),f+=i,r=Math.max(r,S);break}}else break}else this._addTextLine(v),f+=i,r=Math.max(r,S),this._shouldHandleEllipsis(f)&&yd)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==Ed&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==tR;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==Ed&&t!==void 0,r=this.padding(),i=t-r*2,o=this.ellipsis(),s=this.textArr[this.textArr.length-1];if(!(!s||!o)){if(n){var a=this._getTextWidth(s.text+Pw)n?null:Gh.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=Gh.Path.parsePathData(this.attrs.data),this.pathLength=this._getTextPathLength()}_sceneFunc(t){t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",this.textBaseline()),t.setAttr("textAlign","left"),t.save();var n=this.textDecoration(),r=this.fill(),i=this.fontSize(),o=this.glyphInfo;n==="underline"&&t.beginPath();for(var s=0;s=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;ie+`.${Oz}`).join(" "),iR="nodesRect",u_e=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],c_e={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const d_e="ontouchstart"in vs.Konva._global;function f_e(e,t){if(e==="rotater")return"crosshair";t+=gn.Util.degToRad(c_e[e]||0);var n=(gn.Util.radToDeg(t)%360+360)%360;return gn.Util._inRange(n,315+22.5,360)||gn.Util._inRange(n,0,22.5)?"ns-resize":gn.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":gn.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":gn.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":gn.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":gn.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":gn.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":gn.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(gn.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var A1=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],oR=1e8;function h_e(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function Mz(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function p_e(e,t){const n=h_e(e);return Mz(e,t,n)}function g_e(e,t,n){let r=t;for(let i=0;ii.isAncestorOf(this)?(gn.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(u_e.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(iR),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(iR,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=(vs.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),c={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return Mz(c,-vs.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-oR,y:-oR,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const c=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var d=[{x:c.x,y:c.y},{x:c.x+c.width,y:c.y},{x:c.x+c.width,y:c.y+c.height},{x:c.x,y:c.y+c.height}],f=u.getAbsoluteTransform();d.forEach(function(h){var p=f.point(h);n.push(p)})});const r=new gn.Transform;r.rotate(-vs.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var c=r.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:vs.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),A1.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new s_e.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:d_e?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=vs.Konva.getAngle(this.rotation()),o=f_e(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new o_e.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*gn.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const c=o.getAbsolutePosition();if(!(u.x===c.x&&u.y===c.y)){if(this._movingAnchorName==="rotater"){var d=this._getNodeRect();n=o.x()-d.width/2,r=-o.y()+d.height/2;let N=Math.atan2(-r,n)+Math.PI/2;d.height<0&&(N-=Math.PI);var f=vs.Konva.getAngle(this.rotation());const E=f+N,P=vs.Konva.getAngle(this.rotationSnapTolerance()),B=g_e(this.rotationSnaps(),E,P)-d.rotation,R=p_e(d,B);this._fitNodesInto(R,t);return}var h=this.shiftBehavior(),p;h==="inverted"?p=this.keepRatio()&&!t.shiftKey:h==="none"?p=this.keepRatio():p=this.keepRatio()||t.shiftKey;var g=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-left").x()>m.x?-1:1,_=this.findOne(".top-left").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-left").x(m.x-n),this.findOne(".top-left").y(m.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-right").x()m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-right").x(m.x+n),this.findOne(".top-right").y(m.y-r)}var y=o.position();this.findOne(".top-left").y(y.y),this.findOne(".bottom-right").x(y.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(o.y()-m.y,2));var b=m.x{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(gn.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(gn.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new gn.Transform;if(s.rotate(vs.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const d=s.point({x:-this.padding()*2,y:0});if(t.x+=d.x,t.y+=d.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const d=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const d=s.point({x:0,y:-this.padding()*2});if(t.x+=d.x,t.y+=d.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const d=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const d=this.boundBoxFunc()(r,t);d?t=d:gn.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new gn.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new gn.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const c=u.multiply(l.invert());this._nodes.forEach(d=>{var f;const h=d.getParent().getAbsoluteTransform(),p=d.getTransform().copy();p.translate(d.offsetX(),d.offsetY());const m=new gn.Transform;m.multiply(h.copy().invert()).multiply(c).multiply(h).multiply(p);const b=m.decompose();d.setAttrs(b),this._fire("transform",{evt:n,target:d}),d._fire("transform",{evt:n,target:d}),(f=d.getLayer())===null||f===void 0||f.batchDraw()}),this.rotation(gn.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(gn.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(d=>{d.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*gn.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const c=this.anchorStyleFunc();c&&u.forEach(d=>{c(d)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),rR.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return nR.Node.prototype.toObject.call(this)}clone(t){var n=nR.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}lS.Transformer=Ht;function m_e(e){return e instanceof Array||gn.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){A1.indexOf(t)===-1&&gn.Util.warn("Unknown anchor name: "+t+". 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vl extends y_e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,v_e.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}uS.Wedge=vl;vl.prototype.className="Wedge";vl.prototype._centroid=!0;vl.prototype._attrsAffectingSize=["radius"];(0,__e._registerNode)(vl);cS.Factory.addGetterSetter(vl,"radius",0,(0,Nz.getNumberValidator)());cS.Factory.addGetterSetter(vl,"angle",0,(0,Nz.getNumberValidator)());cS.Factory.addGetterSetter(vl,"clockwise",!1);cS.Factory.backCompat(vl,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var dS={};Object.defineProperty(dS,"__esModule",{value:!0});dS.Blur=void 0;const sR=Et,b_e=Qn,S_e=We;function aR(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var 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C_e(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,c,d,f,h,p,m,b,_,y,g,v,S,w,x,C,A,T,k,L,N=t+t+1,E=r-1,P=i-1,D=t+1,B=D*(D+1)/2,R=new aR,I=null,O=R,F=null,U=null,V=w_e[t],H=x_e[t];for(a=1;a>H,k!==0?(k=255/k,n[c]=(f*V>>H)*k,n[c+1]=(h*V>>H)*k,n[c+2]=(p*V>>H)*k):n[c]=n[c+1]=n[c+2]=0,f-=b,h-=_,p-=y,m-=g,b-=F.r,_-=F.g,y-=F.b,g-=F.a,l=d+((l=o+t+1)>H,k>0?(k=255/k,n[l]=(f*V>>H)*k,n[l+1]=(h*V>>H)*k,n[l+2]=(p*V>>H)*k):n[l]=n[l+1]=n[l+2]=0,f-=b,h-=_,p-=y,m-=g,b-=F.r,_-=F.g,y-=F.b,g-=F.a,l=o+((l=s+D)0&&C_e(t,n)};dS.Blur=E_e;sR.Factory.addGetterSetter(b_e.Node,"blurRadius",0,(0,S_e.getNumberValidator)(),sR.Factory.afterSetFilter);var fS={};Object.defineProperty(fS,"__esModule",{value:!0});fS.Brighten=void 0;const lR=Et,T_e=Qn,A_e=We,k_e=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};hS.Contrast=I_e;uR.Factory.addGetterSetter(P_e.Node,"contrast",0,(0,R_e.getNumberValidator)(),uR.Factory.afterSetFilter);var pS={};Object.defineProperty(pS,"__esModule",{value:!0});pS.Emboss=void 0;const Su=Et,gS=Qn,O_e=sr,Dz=We,M_e=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,c=l*4,d=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:O_e.Util.error("Unknown emboss direction: "+r)}do{var f=(d-1)*c,h=o;d+h<1&&(h=0),d+h>u&&(h=0);var p=(d-1+h)*l*4,m=l;do{var b=f+(m-1)*4,_=s;m+_<1&&(_=0),m+_>l&&(_=0);var y=p+(m-1+_)*4,g=a[b]-a[y],v=a[b+1]-a[y+1],S=a[b+2]-a[y+2],w=g,x=w>0?w:-w,C=v>0?v:-v,A=S>0?S:-S;if(C>x&&(w=v),A>x&&(w=S),w*=t,i){var T=a[b]+w,k=a[b+1]+w,L=a[b+2]+w;a[b]=T>255?255:T<0?0:T,a[b+1]=k>255?255:k<0?0:k,a[b+2]=L>255?255:L<0?0:L}else{var N=n-w;N<0?N=0:N>255&&(N=255),a[b]=a[b+1]=a[b+2]=N}}while(--m)}while(--d)};pS.Emboss=M_e;Su.Factory.addGetterSetter(gS.Node,"embossStrength",.5,(0,Dz.getNumberValidator)(),Su.Factory.afterSetFilter);Su.Factory.addGetterSetter(gS.Node,"embossWhiteLevel",.5,(0,Dz.getNumberValidator)(),Su.Factory.afterSetFilter);Su.Factory.addGetterSetter(gS.Node,"embossDirection","top-left",null,Su.Factory.afterSetFilter);Su.Factory.addGetterSetter(gS.Node,"embossBlend",!1,null,Su.Factory.afterSetFilter);var mS={};Object.defineProperty(mS,"__esModule",{value:!0});mS.Enhance=void 0;const cR=Et,N_e=Qn,D_e=We;function Mw(e,t,n,r,i){var o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const L_e=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],c=u,d,f,h=this.enhance();if(h!==0){for(f=0;fi&&(i=o),l=t[f+1],la&&(a=l),d=t[f+2],dc&&(c=d);i===r&&(i=255,r=0),a===s&&(a=255,s=0),c===u&&(c=255,u=0);var p,m,b,_,y,g,v,S,w;for(h>0?(m=i+h*(255-i),b=r-h*(r-0),y=a+h*(255-a),g=s-h*(s-0),S=c+h*(255-c),w=u-h*(u-0)):(p=(i+r)*.5,m=i+h*(i-p),b=r+h*(r-p),_=(a+s)*.5,y=a+h*(a-_),g=s+h*(s-_),v=(c+u)*.5,S=c+h*(c-v),w=u+h*(u-v)),f=0;f_?b:_;var y=s,g=o,v,S,w=360/g*Math.PI/180,x,C;for(S=0;Sg?y:g;var v=s,S=o,w,x,C=n.polarRotation||0,A,T;for(c=0;ct&&(v=g,S=0,w=-1),i=0;i=0&&h=0&&p=0&&h=0&&p=255*4?255:0}return s}function Y_e(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a=0&&h=0&&p=n))for(o=m;o=r||(s=(n*o+i)*4,a+=v[s+0],l+=v[s+1],u+=v[s+2],c+=v[s+3],g+=1);for(a=a/g,l=l/g,u=u/g,c=c/g,i=h;i=n))for(o=m;o=r||(s=(n*o+i)*4,v[s+0]=a,v[s+1]=l,v[s+2]=u,v[s+3]=c)}};CS.Pixelate=obe;pR.Factory.addGetterSetter(rbe.Node,"pixelSize",8,(0,ibe.getNumberValidator)(),pR.Factory.afterSetFilter);var ES={};Object.defineProperty(ES,"__esModule",{value:!0});ES.Posterize=void 0;const gR=Et,sbe=Qn,abe=We,lbe=function(e){var t=Math.round(this.levels()*254)+1,n=e.data,r=n.length,i=255/t,o;for(o=0;o255?255:e<0?0:Math.round(e)});P1.Factory.addGetterSetter(NT.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});P1.Factory.addGetterSetter(NT.Node,"blue",0,ube.RGBComponent,P1.Factory.afterSetFilter);var AS={};Object.defineProperty(AS,"__esModule",{value:!0});AS.RGBA=void 0;const Vg=Et,kS=Qn,dbe=We,fbe=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s=this.alpha(),a,l;for(a=0;a255?255:e<0?0:Math.round(e)});Vg.Factory.addGetterSetter(kS.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Vg.Factory.addGetterSetter(kS.Node,"blue",0,dbe.RGBComponent,Vg.Factory.afterSetFilter);Vg.Factory.addGetterSetter(kS.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var PS={};Object.defineProperty(PS,"__esModule",{value:!0});PS.Sepia=void 0;const hbe=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r127&&(u=255-u),c>127&&(c=255-c),d>127&&(d=255-d),t[l]=u,t[l+1]=c,t[l+2]=d}while(--a)}while(--o)};RS.Solarize=pbe;var IS={};Object.defineProperty(IS,"__esModule",{value:!0});IS.Threshold=void 0;const mR=Et,gbe=Qn,mbe=We,ybe=function(e){var 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I=k.width,O=k.height;R.nodes[bi]={type:"img_resize",id:bi,is_intermediate:!0,width:I,height:O,image:t},R.nodes[zn]={type:"img_resize",id:zn,is_intermediate:!0,width:I,height:O,image:n},R.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:A,height:T},R.nodes[$i]={type:"img_resize",id:$i,is_intermediate:!0,width:A,height:T},R.nodes[Ee].width=I,R.nodes[Ee].height=O,R.nodes[yn].width=I,R.nodes[yn].height=O,R.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Un,field:"image"}},{source:{node_id:zn,field:"image"},destination:{node_id:Oi,field:"image"}},{source:{node_id:bi,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:Oi,field:"image"},destination:{node_id:$i,field:"image"}},{source:{node_id:$i,field:"image"},destination:{node_id:ye,field:"mask"}})}else R.nodes[Ee].width=A,R.nodes[Ee].height=T,R.nodes[yn].width=A,R.nodes[yn].height=T,R.nodes[Un]={...R.nodes[Un],image:t},R.nodes[Oi]={...R.nodes[Oi],image:n},R.nodes[Bn]={...R.nodes[Bn],image:t},R.edges.push({source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:Oi,field:"image"},destination:{node_id:ye,field:"mask"}});if(g!=="unmasked"&&(R.nodes[Lt]={type:"create_denoise_mask",id:Lt,is_intermediate:!0,fp32:E},P?R.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Lt,field:"image"}}):R.nodes[Lt]={...R.nodes[Lt],image:t},g==="mask"&&(P?R.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:Lt,field:"mask"}}):R.nodes[Lt]={...R.nodes[Lt],mask:n}),g==="edge"&&(R.nodes[cr]={type:"mask_edge",id:cr,is_intermediate:!0,edge_blur:_,edge_size:_*2,low_threshold:100,high_threshold:200},P?R.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:cr,field:"image"}}):R.nodes[cr]={...R.nodes[cr],image:n},R.edges.push({source:{node_id:cr,field:"image"},destination:{node_id:Lt,field:"mask"}})),R.edges.push({source:{node_id:Lt,field:"denoise_mask"},destination:{node_id:_t,field:"denoise_mask"}})),h){const I={id:$r,type:"rand_int"};R.nodes[$r]=I,R.edges.push({source:{node_id:$r,field:"value"},destination:{node_id:Xn,field:"start"}})}else R.nodes[Xn].start=f;return(x||C)&&(ds(e,R,D),D=Br),fs(e,R,D),yh(e,R,Oe,D),ls(e,R,Oe),us(e,R,Oe),e.system.shouldUseNSFWChecker&&cs(e,R,ye),e.system.shouldUseWatermarker&&hs(e,R,ye),R},wwe=(e,t,n)=>{const r=ge("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,img2imgStrength:c,iterations:d,seed:f,shouldRandomizeSeed:h,vaePrecision:p,shouldUseNoiseSettings:m,shouldUseCpuNoise:b,maskBlur:_,canvasCoherenceMode:y,canvasCoherenceSteps:g,canvasCoherenceStrength:v,infillTileSize:S,infillPatchmatchDownscaleSize:w,infillMethod:x,clipSkip:C,seamlessXAxis:A,seamlessYAxis:T}=e.generation;if(!s)throw r.error("No model found in state"),new Error("No model found in 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I=b,O={id:NS,nodes:{[R]:{type:"main_model_loader",id:R,is_intermediate:!0,model:s},[Gt]:{type:"clip_skip",id:Gt,is_intermediate:!0,skipped_layers:C},[Ue]:{type:"compel",id:Ue,is_intermediate:!0,prompt:i},[He]:{type:"compel",id:He,is_intermediate:!0,prompt:o},[_f]:{type:"tomask",id:_f,is_intermediate:!0,image:t},[vi]:{type:"mask_combine",id:vi,is_intermediate:!0,mask2:n},[Un]:{type:"i2l",id:Un,is_intermediate:!0,fp32:D},[Ee]:{type:"noise",id:Ee,use_cpu:I,is_intermediate:!0},[Bn]:{type:"create_denoise_mask",id:Bn,is_intermediate:!0,fp32:D},[Oe]:{type:"denoise_latents",id:Oe,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:1-c,denoising_end:1},[yn]:{type:"noise",id:Ee,use_cpu:I,is_intermediate:!0},[Li]:{type:"add",id:Li,b:1,is_intermediate:!0},[_t]:{type:"denoise_latents",id:_t,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-v,denoising_end:1},[Ke]:{type:"l2i",id:Ke,is_intermediate:!0,fp32:D},[ye]:{type:"color_correct",id:ye,is_intermediate:!P},[Xn]:{type:"range_of_size",id:Xn,is_intermediate:!0,size:d,step:1},[sn]:{type:"iterate",id:sn,is_intermediate:!0}},edges:[{source:{node_id:R,field:"unet"},destination:{node_id:Oe,field:"unet"}},{source:{node_id:R,field:"clip"},destination:{node_id:Gt,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:Ut,field:"image"},destination:{node_id:Un,field:"image"}},{source:{node_id:_f,field:"image"},destination:{node_id:vi,field:"mask1"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Oe,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Oe,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Oe,field:"noise"}},{source:{node_id:Un,field:"latents"},destination:{node_id:Oe,field:"latents"}},{source:{node_id:B?zn:vi,field:"image"},destination:{node_id:Bn,field:"mask"}},{source:{node_id:Bn,field:"denoise_mask"},destination:{node_id:Oe,field:"denoise_mask"}},{source:{node_id:Xn,field:"collection"},destination:{node_id:sn,field:"collection"}},{source:{node_id:sn,field:"item"},destination:{node_id:Ee,field:"seed"}},{source:{node_id:sn,field:"item"},destination:{node_id:Li,field:"a"}},{source:{node_id:Li,field:"value"},destination:{node_id:yn,field:"seed"}},{source:{node_id:R,field:"unet"},destination:{node_id:_t,field:"unet"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:_t,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:_t,field:"negative_conditioning"}},{source:{node_id:yn,field:"noise"},destination:{node_id:_t,field:"noise"}},{source:{node_id:Oe,field:"latents"},destination:{node_id:_t,field:"latents"}},{source:{node_id:Ut,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:_t,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(x==="patchmatch"&&(O.nodes[Ut]={type:"infill_patchmatch",id:Ut,is_intermediate:!0,downscale:w}),x==="lama"&&(O.nodes[Ut]={type:"infill_lama",id:Ut,is_intermediate:!0}),x==="cv2"&&(O.nodes[Ut]={type:"infill_cv2",id:Ut,is_intermediate:!0}),x==="tile"&&(O.nodes[Ut]={type:"infill_tile",id:Ut,is_intermediate:!0,tile_size:S}),B){const F=N.width,U=N.height;O.nodes[bi]={type:"img_resize",id:bi,is_intermediate:!0,width:F,height:U,image:t},O.nodes[zn]={type:"img_resize",id:zn,is_intermediate:!0,width:F,height:U},O.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:k,height:L},O.nodes[ql]={type:"img_resize",id:ql,is_intermediate:!0,width:k,height:L},O.nodes[$i]={type:"img_resize",id:$i,is_intermediate:!0,width:k,height:L},O.nodes[Ee].width=F,O.nodes[Ee].height=U,O.nodes[yn].width=F,O.nodes[yn].height=U,O.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Ut,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:zn,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:zn,field:"image"},destination:{node_id:$i,field:"image"}},{source:{node_id:Ut,field:"image"},destination:{node_id:ql,field:"image"}},{source:{node_id:ql,field:"image"},destination:{node_id:ye,field:"reference"}},{source:{node_id:Di,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:$i,field:"image"},destination:{node_id:ye,field:"mask"}})}else O.nodes[Ut]={...O.nodes[Ut],image:t},O.nodes[Ee].width=k,O.nodes[Ee].height=L,O.nodes[yn].width=k,O.nodes[yn].height=L,O.nodes[Un]={...O.nodes[Un],image:t},O.edges.push({source:{node_id:Ut,field:"image"},destination:{node_id:ye,field:"reference"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:ye,field:"mask"}});if(y!=="unmasked"&&(O.nodes[Lt]={type:"create_denoise_mask",id:Lt,is_intermediate:!0,fp32:D},O.edges.push({source:{node_id:Ut,field:"image"},destination:{node_id:Lt,field:"image"}}),y==="mask"&&(B?O.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:Lt,field:"mask"}}):O.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Lt,field:"mask"}})),y==="edge"&&(O.nodes[cr]={type:"mask_edge",id:cr,is_intermediate:!0,edge_blur:_,edge_size:_*2,low_threshold:100,high_threshold:200},B?O.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:cr,field:"image"}}):O.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:cr,field:"image"}}),O.edges.push({source:{node_id:cr,field:"image"},destination:{node_id:Lt,field:"mask"}})),O.edges.push({source:{node_id:Lt,field:"denoise_mask"},destination:{node_id:_t,field:"denoise_mask"}})),h){const F={id:$r,type:"rand_int"};O.nodes[$r]=F,O.edges.push({source:{node_id:$r,field:"value"},destination:{node_id:Xn,field:"start"}})}else O.nodes[Xn].start=f;return(A||T)&&(ds(e,O,R),R=Br),fs(e,O,R),yh(e,O,Oe,R),ls(e,O,Oe),us(e,O,Oe),e.system.shouldUseNSFWChecker&&cs(e,O,ye),e.system.shouldUseWatermarker&&hs(e,O,ye),O},vh=(e,t,n,r=Mi)=>{const{loras:i}=e.lora,o=O_(i),s=t.nodes[Pt],a=r;let l=r;[Br,Ba].includes(r)&&(l=Mi),o>0&&(t.edges=t.edges.filter(d=>!(d.source.node_id===a&&["unet"].includes(d.source.field))&&!(d.source.node_id===l&&["clip"].includes(d.source.field))&&!(d.source.node_id===l&&["clip2"].includes(d.source.field))));let u="",c=0;rs(i,d=>{const{model_name:f,base_model:h,weight:p}=d,m=`${Vz}_${f.replace(".","_")}`,b={type:"sdxl_lora_loader",id:m,is_intermediate:!0,lora:{model_name:f,base_model:h},weight:p};s&&(s.loras||(s.loras=[]),s.loras.push({lora:{model_name:f,base_model:h},weight:p})),t.nodes[m]=b,c===0?(t.edges.push({source:{node_id:a,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:l,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:l,field:"clip2"},destination:{node_id:m,field:"clip2"}})):(t.edges.push({source:{node_id:u,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:u,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:u,field:"clip2"},destination:{node_id:m,field:"clip2"}})),c===o-1&&(t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:n,field:"unet"}}),t.id&&[Bc,zc].includes(t.id)&&t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:_t,field:"unet"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:Ue,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:He,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:Ue,field:"clip2"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:He,field:"clip2"}})),u=m,c+=1})},sd=(e,t)=>{const{positivePrompt:n,negativePrompt:r}=e.generation,{positiveStylePrompt:i,negativeStylePrompt:o}=e.sdxl;let s=i,a=o;return t&&(i.length>0?s=`${n} ${i}`:s=n,o.length>0?a=`${r} ${o}`:a=r),{craftedPositiveStylePrompt:s,craftedNegativeStylePrompt:a}},_h=(e,t,n,r,i)=>{const{refinerModel:o,refinerPositiveAestheticScore:s,refinerNegativeAestheticScore:a,refinerSteps:l,refinerScheduler:u,refinerCFGScale:c,refinerStart:d}=e.sdxl,{seamlessXAxis:f,seamlessYAxis:h,vaePrecision:p}=e.generation,{boundingBoxScaleMethod:m}=e.canvas,b=p==="fp32",_=["auto","manual"].includes(m);if(!o)return;const y=t.nodes[Pt];y&&(y.refiner_model=o,y.refiner_positive_aesthetic_score=s,y.refiner_negative_aesthetic_score=a,y.refiner_cfg_scale=c,y.refiner_scheduler=u,y.refiner_start=d,y.refiner_steps=l);const g=r||Mi,{craftedPositiveStylePrompt:v,craftedNegativeStylePrompt:S}=sd(e,!0);t.edges=t.edges.filter(w=>!(w.source.node_id===n&&["latents"].includes(w.source.field))),t.edges=t.edges.filter(w=>!(w.source.node_id===g&&["vae"].includes(w.source.field))),t.nodes[Ku]={type:"sdxl_refiner_model_loader",id:Ku,model:o},t.nodes[t0]={type:"sdxl_refiner_compel_prompt",id:t0,style:v,aesthetic_score:s},t.nodes[n0]={type:"sdxl_refiner_compel_prompt",id:n0,style:S,aesthetic_score:a},t.nodes[Ws]={type:"denoise_latents",id:Ws,cfg_scale:c,steps:l,scheduler:u,denoising_start:d,denoising_end:1},f||h?(t.nodes[As]={id:As,type:"seamless",seamless_x:f,seamless_y:h},t.edges.push({source:{node_id:Ku,field:"unet"},destination:{node_id:As,field:"unet"}},{source:{node_id:Ku,field:"vae"},destination:{node_id:As,field:"vae"}},{source:{node_id:As,field:"unet"},destination:{node_id:Ws,field:"unet"}})):t.edges.push({source:{node_id:Ku,field:"unet"},destination:{node_id:Ws,field:"unet"}}),t.edges.push({source:{node_id:Ku,field:"clip2"},destination:{node_id:t0,field:"clip2"}},{source:{node_id:Ku,field:"clip2"},destination:{node_id:n0,field:"clip2"}},{source:{node_id:t0,field:"conditioning"},destination:{node_id:Ws,field:"positive_conditioning"}},{source:{node_id:n0,field:"conditioning"},destination:{node_id:Ws,field:"negative_conditioning"}},{source:{node_id:n,field:"latents"},destination:{node_id:Ws,field:"latents"}}),(t.id===Bc||t.id===zc)&&(t.nodes[Ba]={type:"create_denoise_mask",id:Ba,is_intermediate:!0,fp32:b},_?t.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Ba,field:"image"}}):t.nodes[Ba]={...t.nodes[Ba],image:i},t.edges.push({source:{node_id:_?zn:vi,field:"image"},destination:{node_id:Ba,field:"mask"}},{source:{node_id:Ba,field:"denoise_mask"},destination:{node_id:Ws,field:"denoise_mask"}})),t.id===DS||t.id===Hg?t.edges.push({source:{node_id:Ws,field:"latents"},destination:{node_id:_?Ke:ye,field:"latents"}}):t.edges.push({source:{node_id:Ws,field:"latents"},destination:{node_id:Ke,field:"latents"}})},xwe=(e,t)=>{const n=ge("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:s,scheduler:a,steps:l,vaePrecision:u,clipSkip:c,shouldUseCpuNoise:d,shouldUseNoiseSettings:f,seamlessXAxis:h,seamlessYAxis:p}=e.generation,{shouldUseSDXLRefiner:m,refinerStart:b,sdxlImg2ImgDenoisingStrength:_,shouldConcatSDXLStylePrompt:y}=e.sdxl,{width:g,height:v}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:S,boundingBoxScaleMethod:w,shouldAutoSave:x}=e.canvas,C=u==="fp32",A=["auto","manual"].includes(w);if(!o)throw n.error("No model found in state"),new Error("No model found in state");let T=Mi;const k=f?d:zs.shouldUseCpuNoise,{craftedPositiveStylePrompt:L,craftedNegativeStylePrompt:N}=sd(e,y),E={id:Hg,nodes:{[T]:{type:"sdxl_model_loader",id:T,model:o},[Ue]:{type:"sdxl_compel_prompt",id:Ue,prompt:r,style:L},[He]:{type:"sdxl_compel_prompt",id:He,prompt:i,style:N},[Ee]:{type:"noise",id:Ee,is_intermediate:!0,use_cpu:k,width:A?S.width:g,height:A?S.height:v},[Fn]:{type:"i2l",id:Fn,is_intermediate:!0,fp32:C},[Ce]:{type:"denoise_latents",id:Ce,is_intermediate:!0,cfg_scale:s,scheduler:a,steps:l,denoising_start:m?Math.min(b,1-_):1-_,denoising_end:m?b:1}},edges:[{source:{node_id:T,field:"unet"},destination:{node_id:Ce,field:"unet"}},{source:{node_id:T,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Ue,field:"clip2"}},{source:{node_id:T,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:He,field:"clip2"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Ce,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Ce,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Ce,field:"noise"}},{source:{node_id:Fn,field:"latents"},destination:{node_id:Ce,field:"latents"}}]};return A?(E.nodes[vf]={id:vf,type:"img_resize",is_intermediate:!0,image:t,width:S.width,height:S.height},E.nodes[Ke]={id:Ke,type:"l2i",is_intermediate:!0,fp32:C},E.nodes[ye]={id:ye,type:"img_resize",is_intermediate:!x,width:g,height:v},E.edges.push({source:{node_id:vf,field:"image"},destination:{node_id:Fn,field:"image"}},{source:{node_id:Ce,field:"latents"},destination:{node_id:Ke,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}})):(E.nodes[ye]={type:"l2i",id:ye,is_intermediate:!x,fp32:C},E.nodes[Fn].image=t,E.edges.push({source:{node_id:Ce,field:"latents"},destination:{node_id:ye,field:"latents"}})),E.nodes[Pt]={id:Pt,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:s,width:A?S.width:g,height:A?S.height:v,positive_prompt:"",negative_prompt:i,model:o,seed:0,steps:l,rand_device:k?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],clip_skip:c,strength:_,init_image:t.image_name},E.edges.push({source:{node_id:Pt,field:"metadata"},destination:{node_id:ye,field:"metadata"}}),(h||p)&&(ds(e,E,T),T=Br),m&&(_h(e,E,Ce,T),(h||p)&&(T=As)),fs(e,E,T),vh(e,E,Ce,T),Bu(e,E),ls(e,E,Ce),us(e,E,Ce),e.system.shouldUseNSFWChecker&&cs(e,E,ye),e.system.shouldUseWatermarker&&hs(e,E,ye),E},Cwe=(e,t,n)=>{const r=ge("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,maskBlurMethod:_,canvasCoherenceMode:y,canvasCoherenceSteps:g,canvasCoherenceStrength:v,seamlessXAxis:S,seamlessYAxis:w}=e.generation,{sdxlImg2ImgDenoisingStrength:x,shouldUseSDXLRefiner:C,refinerStart:A,shouldConcatSDXLStylePrompt:T}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in 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I=m,{craftedPositiveStylePrompt:O,craftedNegativeStylePrompt:F}=sd(e,T),U={id:Bc,nodes:{[R]:{type:"sdxl_model_loader",id:R,model:s},[Ue]:{type:"sdxl_compel_prompt",id:Ue,prompt:i,style:O},[He]:{type:"sdxl_compel_prompt",id:He,prompt:o,style:F},[Oi]:{type:"img_blur",id:Oi,is_intermediate:!0,radius:b,blur_type:_},[Un]:{type:"i2l",id:Un,is_intermediate:!0,fp32:D},[Ee]:{type:"noise",id:Ee,use_cpu:I,is_intermediate:!0},[Bn]:{type:"create_denoise_mask",id:Bn,is_intermediate:!0,fp32:D},[Ce]:{type:"denoise_latents",id:Ce,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:C?Math.min(A,1-x):1-x,denoising_end:C?A:1},[yn]:{type:"noise",id:Ee,use_cpu:I,is_intermediate:!0},[Li]:{type:"add",id:Li,b:1,is_intermediate:!0},[_t]:{type:"denoise_latents",id:_t,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-v,denoising_end:1},[Ke]:{type:"l2i",id:Ke,is_intermediate:!0,fp32:D},[ye]:{type:"color_correct",id:ye,is_intermediate:!P,reference:t},[Xn]:{type:"range_of_size",id:Xn,is_intermediate:!0,size:c,step:1},[sn]:{type:"iterate",id:sn,is_intermediate:!0}},edges:[{source:{node_id:R,field:"unet"},destination:{node_id:Ce,field:"unet"}},{source:{node_id:R,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:R,field:"clip2"},destination:{node_id:Ue,field:"clip2"}},{source:{node_id:R,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:R,field:"clip2"},destination:{node_id:He,field:"clip2"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Ce,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Ce,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Ce,field:"noise"}},{source:{node_id:Un,field:"latents"},destination:{node_id:Ce,field:"latents"}},{source:{node_id:Oi,field:"image"},destination:{node_id:Bn,field:"mask"}},{source:{node_id:Bn,field:"denoise_mask"},destination:{node_id:Ce,field:"denoise_mask"}},{source:{node_id:Xn,field:"collection"},destination:{node_id:sn,field:"collection"}},{source:{node_id:sn,field:"item"},destination:{node_id:Ee,field:"seed"}},{source:{node_id:sn,field:"item"},destination:{node_id:Li,field:"a"}},{source:{node_id:Li,field:"value"},destination:{node_id:yn,field:"seed"}},{source:{node_id:R,field:"unet"},destination:{node_id:_t,field:"unet"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:_t,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:_t,field:"negative_conditioning"}},{source:{node_id:yn,field:"noise"},destination:{node_id:_t,field:"noise"}},{source:{node_id:Ce,field:"latents"},destination:{node_id:_t,field:"latents"}},{source:{node_id:_t,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(B){const V=N.width,H=N.height;U.nodes[bi]={type:"img_resize",id:bi,is_intermediate:!0,width:V,height:H,image:t},U.nodes[zn]={type:"img_resize",id:zn,is_intermediate:!0,width:V,height:H,image:n},U.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:k,height:L},U.nodes[$i]={type:"img_resize",id:$i,is_intermediate:!0,width:k,height:L},U.nodes[Ee].width=V,U.nodes[Ee].height=H,U.nodes[yn].width=V,U.nodes[yn].height=H,U.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Un,field:"image"}},{source:{node_id:zn,field:"image"},destination:{node_id:Oi,field:"image"}},{source:{node_id:bi,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:Oi,field:"image"},destination:{node_id:$i,field:"image"}},{source:{node_id:$i,field:"image"},destination:{node_id:ye,field:"mask"}})}else U.nodes[Ee].width=k,U.nodes[Ee].height=L,U.nodes[yn].width=k,U.nodes[yn].height=L,U.nodes[Un]={...U.nodes[Un],image:t},U.nodes[Oi]={...U.nodes[Oi],image:n},U.nodes[Bn]={...U.nodes[Bn],image:t},U.edges.push({source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:Oi,field:"image"},destination:{node_id:ye,field:"mask"}});if(y!=="unmasked"&&(U.nodes[Lt]={type:"create_denoise_mask",id:Lt,is_intermediate:!0,fp32:D},B?U.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Lt,field:"image"}}):U.nodes[Lt]={...U.nodes[Lt],image:t},y==="mask"&&(B?U.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:Lt,field:"mask"}}):U.nodes[Lt]={...U.nodes[Lt],mask:n}),y==="edge"&&(U.nodes[cr]={type:"mask_edge",id:cr,is_intermediate:!0,edge_blur:b,edge_size:b*2,low_threshold:100,high_threshold:200},B?U.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:cr,field:"image"}}):U.nodes[cr]={...U.nodes[cr],image:n},U.edges.push({source:{node_id:cr,field:"image"},destination:{node_id:Lt,field:"mask"}})),U.edges.push({source:{node_id:Lt,field:"denoise_mask"},destination:{node_id:_t,field:"denoise_mask"}})),f){const V={id:$r,type:"rand_int"};U.nodes[$r]=V,U.edges.push({source:{node_id:$r,field:"value"},destination:{node_id:Xn,field:"start"}})}else U.nodes[Xn].start=d;return(S||w)&&(ds(e,U,R),R=Br),C&&(_h(e,U,_t,R,t),(S||w)&&(R=As)),fs(e,U,R),vh(e,U,Ce,R),ls(e,U,Ce),us(e,U,Ce),e.system.shouldUseNSFWChecker&&cs(e,U,ye),e.system.shouldUseWatermarker&&hs(e,U,ye),U},Ewe=(e,t,n)=>{const r=ge("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,canvasCoherenceMode:_,canvasCoherenceSteps:y,canvasCoherenceStrength:g,infillTileSize:v,infillPatchmatchDownscaleSize:S,infillMethod:w,seamlessXAxis:x,seamlessYAxis:C}=e.generation,{sdxlImg2ImgDenoisingStrength:A,shouldUseSDXLRefiner:T,refinerStart:k,shouldConcatSDXLStylePrompt:L}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:N,height:E}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:P,boundingBoxScaleMethod:D,shouldAutoSave:B}=e.canvas,R=h==="fp32",I=["auto","manual"].includes(D);let O=Mi;const F=m,{craftedPositiveStylePrompt:U,craftedNegativeStylePrompt:V}=sd(e,L),H={id:zc,nodes:{[Mi]:{type:"sdxl_model_loader",id:Mi,model:s},[Ue]:{type:"sdxl_compel_prompt",id:Ue,prompt:i,style:U},[He]:{type:"sdxl_compel_prompt",id:He,prompt:o,style:V},[_f]:{type:"tomask",id:_f,is_intermediate:!0,image:t},[vi]:{type:"mask_combine",id:vi,is_intermediate:!0,mask2:n},[Un]:{type:"i2l",id:Un,is_intermediate:!0,fp32:R},[Ee]:{type:"noise",id:Ee,use_cpu:F,is_intermediate:!0},[Bn]:{type:"create_denoise_mask",id:Bn,is_intermediate:!0,fp32:R},[Ce]:{type:"denoise_latents",id:Ce,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:T?Math.min(k,1-A):1-A,denoising_end:T?k:1},[yn]:{type:"noise",id:Ee,use_cpu:F,is_intermediate:!0},[Li]:{type:"add",id:Li,b:1,is_intermediate:!0},[_t]:{type:"denoise_latents",id:_t,is_intermediate:!0,steps:y,cfg_scale:a,scheduler:l,denoising_start:1-g,denoising_end:1},[Ke]:{type:"l2i",id:Ke,is_intermediate:!0,fp32:R},[ye]:{type:"color_correct",id:ye,is_intermediate:!B},[Xn]:{type:"range_of_size",id:Xn,is_intermediate:!0,size:c,step:1},[sn]:{type:"iterate",id:sn,is_intermediate:!0}},edges:[{source:{node_id:Mi,field:"unet"},destination:{node_id:Ce,field:"unet"}},{source:{node_id:Mi,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:Mi,field:"clip2"},destination:{node_id:Ue,field:"clip2"}},{source:{node_id:Mi,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:Mi,field:"clip2"},destination:{node_id:He,field:"clip2"}},{source:{node_id:Ut,field:"image"},destination:{node_id:Un,field:"image"}},{source:{node_id:_f,field:"image"},destination:{node_id:vi,field:"mask1"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Ce,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Ce,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Ce,field:"noise"}},{source:{node_id:Un,field:"latents"},destination:{node_id:Ce,field:"latents"}},{source:{node_id:I?zn:vi,field:"image"},destination:{node_id:Bn,field:"mask"}},{source:{node_id:Bn,field:"denoise_mask"},destination:{node_id:Ce,field:"denoise_mask"}},{source:{node_id:Xn,field:"collection"},destination:{node_id:sn,field:"collection"}},{source:{node_id:sn,field:"item"},destination:{node_id:Ee,field:"seed"}},{source:{node_id:sn,field:"item"},destination:{node_id:Li,field:"a"}},{source:{node_id:Li,field:"value"},destination:{node_id:yn,field:"seed"}},{source:{node_id:O,field:"unet"},destination:{node_id:_t,field:"unet"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:_t,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:_t,field:"negative_conditioning"}},{source:{node_id:yn,field:"noise"},destination:{node_id:_t,field:"noise"}},{source:{node_id:Ce,field:"latents"},destination:{node_id:_t,field:"latents"}},{source:{node_id:Ut,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:_t,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(w==="patchmatch"&&(H.nodes[Ut]={type:"infill_patchmatch",id:Ut,is_intermediate:!0,downscale:S}),w==="lama"&&(H.nodes[Ut]={type:"infill_lama",id:Ut,is_intermediate:!0}),w==="cv2"&&(H.nodes[Ut]={type:"infill_cv2",id:Ut,is_intermediate:!0}),w==="tile"&&(H.nodes[Ut]={type:"infill_tile",id:Ut,is_intermediate:!0,tile_size:v}),I){const Y=P.width,Q=P.height;H.nodes[bi]={type:"img_resize",id:bi,is_intermediate:!0,width:Y,height:Q,image:t},H.nodes[zn]={type:"img_resize",id:zn,is_intermediate:!0,width:Y,height:Q},H.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:N,height:E},H.nodes[ql]={type:"img_resize",id:ql,is_intermediate:!0,width:N,height:E},H.nodes[$i]={type:"img_resize",id:$i,is_intermediate:!0,width:N,height:E},H.nodes[Ee].width=Y,H.nodes[Ee].height=Q,H.nodes[yn].width=Y,H.nodes[yn].height=Q,H.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Ut,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:zn,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:zn,field:"image"},destination:{node_id:$i,field:"image"}},{source:{node_id:Ut,field:"image"},destination:{node_id:ql,field:"image"}},{source:{node_id:ql,field:"image"},destination:{node_id:ye,field:"reference"}},{source:{node_id:Di,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:$i,field:"image"},destination:{node_id:ye,field:"mask"}})}else H.nodes[Ut]={...H.nodes[Ut],image:t},H.nodes[Ee].width=N,H.nodes[Ee].height=E,H.nodes[yn].width=N,H.nodes[yn].height=E,H.nodes[Un]={...H.nodes[Un],image:t},H.edges.push({source:{node_id:Ut,field:"image"},destination:{node_id:ye,field:"reference"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:ye,field:"mask"}});if(_!=="unmasked"&&(H.nodes[Lt]={type:"create_denoise_mask",id:Lt,is_intermediate:!0,fp32:R},H.edges.push({source:{node_id:Ut,field:"image"},destination:{node_id:Lt,field:"image"}}),_==="mask"&&(I?H.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:Lt,field:"mask"}}):H.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Lt,field:"mask"}})),_==="edge"&&(H.nodes[cr]={type:"mask_edge",id:cr,is_intermediate:!0,edge_blur:b,edge_size:b*2,low_threshold:100,high_threshold:200},I?H.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:cr,field:"image"}}):H.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:cr,field:"image"}}),H.edges.push({source:{node_id:cr,field:"image"},destination:{node_id:Lt,field:"mask"}})),H.edges.push({source:{node_id:Lt,field:"denoise_mask"},destination:{node_id:_t,field:"denoise_mask"}})),f){const Y={id:$r,type:"rand_int"};H.nodes[$r]=Y,H.edges.push({source:{node_id:$r,field:"value"},destination:{node_id:Xn,field:"start"}})}else H.nodes[Xn].start=d;return(x||C)&&(ds(e,H,O),O=Br),T&&(_h(e,H,_t,O,t),(x||C)&&(O=As)),fs(e,H,O),vh(e,H,Ce,O),ls(e,H,Ce),us(e,H,Ce),e.system.shouldUseNSFWChecker&&cs(e,H,ye),e.system.shouldUseWatermarker&&hs(e,H,ye),H},Twe=e=>{const t=ge("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:y}=e.canvas,g=l==="fp32",v=["auto","manual"].includes(_),{shouldUseSDXLRefiner:S,refinerStart:w,shouldConcatSDXLStylePrompt:x}=e.sdxl;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const C=d?c:zs.shouldUseCpuNoise,A=i.model_type==="onnx";let T=A?OS:Mi;const k=A?"onnx_model_loader":"sdxl_model_loader",L=A?{type:"t2l_onnx",id:Ce,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Ce,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:S?w:1},{craftedPositiveStylePrompt:N,craftedNegativeStylePrompt:E}=sd(e,x),P={id:DS,nodes:{[T]:{type:k,id:T,is_intermediate:!0,model:i},[Ue]:{type:A?"prompt_onnx":"sdxl_compel_prompt",id:Ue,is_intermediate:!0,prompt:n,style:N},[He]:{type:A?"prompt_onnx":"sdxl_compel_prompt",id:He,is_intermediate:!0,prompt:r,style:E},[Ee]:{type:"noise",id:Ee,is_intermediate:!0,width:v?b.width:p,height:v?b.height:m,use_cpu:C},[L.id]:L},edges:[{source:{node_id:T,field:"unet"},destination:{node_id:Ce,field:"unet"}},{source:{node_id:T,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Ue,field:"clip2"}},{source:{node_id:T,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:He,field:"clip2"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Ce,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Ce,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Ce,field:"noise"}}]};return v?(P.nodes[Ke]={id:Ke,type:A?"l2i_onnx":"l2i",is_intermediate:!0,fp32:g},P.nodes[ye]={id:ye,type:"img_resize",is_intermediate:!y,width:p,height:m},P.edges.push({source:{node_id:Ce,field:"latents"},destination:{node_id:Ke,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}})):(P.nodes[ye]={type:A?"l2i_onnx":"l2i",id:ye,is_intermediate:!y,fp32:g},P.edges.push({source:{node_id:Ce,field:"latents"},destination:{node_id:ye,field:"latents"}})),P.nodes[Pt]={id:Pt,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:v?b.width:p,height:v?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:C?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:u},P.edges.push({source:{node_id:Pt,field:"metadata"},destination:{node_id:ye,field:"metadata"}}),(f||h)&&(ds(e,P,T),T=Br),S&&(_h(e,P,Ce,T),(f||h)&&(T=As)),vh(e,P,Ce,T),fs(e,P,T),Bu(e,P),ls(e,P,Ce),us(e,P,Ce),e.system.shouldUseNSFWChecker&&cs(e,P,ye),e.system.shouldUseWatermarker&&hs(e,P,ye),P},Awe=e=>{const t=ge("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:y}=e.canvas,g=l==="fp32",v=["auto","manual"].includes(_);if(!i)throw t.error("No model found in state"),new Error("No model found in state");const S=d?c:zs.shouldUseCpuNoise,w=i.model_type==="onnx";let x=w?OS:Fu;const C=w?"onnx_model_loader":"main_model_loader",A=w?{type:"t2l_onnx",id:Oe,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Oe,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:1},T={id:Hz,nodes:{[x]:{type:C,id:x,is_intermediate:!0,model:i},[Gt]:{type:"clip_skip",id:Gt,is_intermediate:!0,skipped_layers:u},[Ue]:{type:w?"prompt_onnx":"compel",id:Ue,is_intermediate:!0,prompt:n},[He]:{type:w?"prompt_onnx":"compel",id:He,is_intermediate:!0,prompt:r},[Ee]:{type:"noise",id:Ee,is_intermediate:!0,width:v?b.width:p,height:v?b.height:m,use_cpu:S},[A.id]:A},edges:[{source:{node_id:x,field:"unet"},destination:{node_id:Oe,field:"unet"}},{source:{node_id:x,field:"clip"},destination:{node_id:Gt,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Oe,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Oe,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Oe,field:"noise"}}]};return v?(T.nodes[Ke]={id:Ke,type:w?"l2i_onnx":"l2i",is_intermediate:!0,fp32:g},T.nodes[ye]={id:ye,type:"img_resize",is_intermediate:!y,width:p,height:m},T.edges.push({source:{node_id:Oe,field:"latents"},destination:{node_id:Ke,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}})):(T.nodes[ye]={type:w?"l2i_onnx":"l2i",id:ye,is_intermediate:!y,fp32:g},T.edges.push({source:{node_id:Oe,field:"latents"},destination:{node_id:ye,field:"latents"}})),T.nodes[Pt]={id:Pt,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:v?b.width:p,height:v?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:S?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:u},T.edges.push({source:{node_id:Pt,field:"metadata"},destination:{node_id:ye,field:"metadata"}}),(f||h)&&(ds(e,T,x),x=Br),fs(e,T,x),yh(e,T,Oe,x),Bu(e,T),ls(e,T,Oe),us(e,T,Oe),e.system.shouldUseNSFWChecker&&cs(e,T,ye),e.system.shouldUseWatermarker&&hs(e,T,ye),T},kwe=(e,t,n,r)=>{let i;if(t==="txt2img")e.generation.model&&e.generation.model.base_model==="sdxl"?i=Twe(e):i=Awe(e);else if(t==="img2img"){if(!n)throw new Error("Missing canvas init image");e.generation.model&&e.generation.model.base_model==="sdxl"?i=xwe(e,n):i=bwe(e,n)}else if(t==="inpaint"){if(!n||!r)throw new Error("Missing canvas init and mask images");e.generation.model&&e.generation.model.base_model==="sdxl"?i=Cwe(e,n,r):i=Swe(e,n,r)}else{if(!n)throw new Error("Missing canvas init image");e.generation.model&&e.generation.model.base_model==="sdxl"?i=Ewe(e,n,r):i=wwe(e,n,r)}return i},Pwe=()=>{Te({predicate:e=>Fm.match(e)&&e.payload==="unifiedCanvas",effect:async(e,{getState:t,dispatch:n,take:r})=>{const i=ge("session"),o=t(),{layerState:s,boundingBoxCoordinates:a,boundingBoxDimensions:l,isMaskEnabled:u,shouldPreserveMaskedArea:c}=o.canvas,d=await DT(s,a,l,u,c);if(!d){i.error("Unable to create canvas data");return}const{baseBlob:f,baseImageData:h,maskBlob:p,maskImageData:m}=d,b=vwe(h,m);if(o.system.enableImageDebugging){const x=await kR(f),C=await kR(p);gwe([{base64:C,caption:"mask b64"},{base64:x,caption:"image b64"}])}i.debug(`Generation mode: ${b}`);let _,y;["img2img","inpaint","outpaint"].includes(b)&&(_=await n(pe.endpoints.uploadImage.initiate({file:new File([f],"canvasInitImage.png",{type:"image/png"}),image_category:"general",is_intermediate:!0})).unwrap()),["inpaint","outpaint"].includes(b)&&(y=await n(pe.endpoints.uploadImage.initiate({file:new File([p],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!0})).unwrap());const g=kwe(o,b,_,y);i.debug({graph:mn(g)},"Canvas graph built"),n(ZB(g));const{requestId:v}=n(xi({graph:g})),[S]=await r(x=>xi.fulfilled.match(x)&&x.meta.requestId===v),w=S.payload.id;["img2img","inpaint"].includes(b)&&_&&n(pe.endpoints.changeImageSessionId.initiate({imageDTO:_,session_id:w})),["inpaint"].includes(b)&&y&&n(pe.endpoints.changeImageSessionId.initiate({imageDTO:y,session_id:w})),o.canvas.layerState.stagingArea.boundingBox||n(ere({sessionId:w,boundingBox:{...o.canvas.boundingBoxCoordinates,...o.canvas.boundingBoxDimensions}})),n(tre(w)),n(od())}})},Rwe=e=>{const t=ge("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,initialImage:l,img2imgStrength:u,shouldFitToWidthHeight:c,width:d,height:f,clipSkip:h,shouldUseCpuNoise:p,shouldUseNoiseSettings:m,vaePrecision:b,seamlessXAxis:_,seamlessYAxis:y}=e.generation;if(!l)throw t.error("No initial image found in state"),new Error("No initial image found in state");if(!i)throw t.error("No model found in state"),new Error("No model found in state");const g=b==="fp32";let v=Fu;const S=m?p:zs.shouldUseCpuNoise,w={id:f3,nodes:{[v]:{type:"main_model_loader",id:v,model:i},[Gt]:{type:"clip_skip",id:Gt,skipped_layers:h},[Ue]:{type:"compel",id:Ue,prompt:n},[He]:{type:"compel",id:He,prompt:r},[Ee]:{type:"noise",id:Ee,use_cpu:S},[Ke]:{type:"l2i",id:Ke,fp32:g},[Oe]:{type:"denoise_latents",id:Oe,cfg_scale:o,scheduler:s,steps:a,denoising_start:1-u,denoising_end:1},[Fn]:{type:"i2l",id:Fn,fp32:g}},edges:[{source:{node_id:v,field:"unet"},destination:{node_id:Oe,field:"unet"}},{source:{node_id:v,field:"clip"},destination:{node_id:Gt,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Oe,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Oe,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Oe,field:"noise"}},{source:{node_id:Fn,field:"latents"},destination:{node_id:Oe,field:"latents"}},{source:{node_id:Oe,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(c&&(l.width!==d||l.height!==f)){const x={id:ra,type:"img_resize",image:{image_name:l.imageName},is_intermediate:!0,width:d,height:f};w.nodes[ra]=x,w.edges.push({source:{node_id:ra,field:"image"},destination:{node_id:Fn,field:"image"}}),w.edges.push({source:{node_id:ra,field:"width"},destination:{node_id:Ee,field:"width"}}),w.edges.push({source:{node_id:ra,field:"height"},destination:{node_id:Ee,field:"height"}})}else w.nodes[Fn].image={image_name:l.imageName},w.edges.push({source:{node_id:Fn,field:"width"},destination:{node_id:Ee,field:"width"}}),w.edges.push({source:{node_id:Fn,field:"height"},destination:{node_id:Ee,field:"height"}});return w.nodes[Pt]={id:Pt,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:o,height:f,width:d,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:S?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:h,strength:u,init_image:l.imageName},w.edges.push({source:{node_id:Pt,field:"metadata"},destination:{node_id:Ke,field:"metadata"}}),(_||y)&&(ds(e,w,v),v=Br),fs(e,w,v),yh(e,w,Oe,v),Bu(e,w),ls(e,w,Oe),us(e,w,Oe),e.system.shouldUseNSFWChecker&&cs(e,w),e.system.shouldUseWatermarker&&hs(e,w),w},Iwe=e=>{const t=ge("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,initialImage:l,shouldFitToWidthHeight:u,width:c,height:d,clipSkip:f,shouldUseCpuNoise:h,shouldUseNoiseSettings:p,vaePrecision:m,seamlessXAxis:b,seamlessYAxis:_}=e.generation,{positiveStylePrompt:y,negativeStylePrompt:g,shouldConcatSDXLStylePrompt:v,shouldUseSDXLRefiner:S,refinerStart:w,sdxlImg2ImgDenoisingStrength:x}=e.sdxl;if(!l)throw t.error("No initial image found in state"),new Error("No initial image found in state");if(!i)throw t.error("No model found in state"),new Error("No model found in state");const C=m==="fp32";let A=Mi;const T=p?h:zs.shouldUseCpuNoise,{craftedPositiveStylePrompt:k,craftedNegativeStylePrompt:L}=sd(e,v),N={id:R1,nodes:{[A]:{type:"sdxl_model_loader",id:A,model:i},[Ue]:{type:"sdxl_compel_prompt",id:Ue,prompt:n,style:k},[He]:{type:"sdxl_compel_prompt",id:He,prompt:r,style:L},[Ee]:{type:"noise",id:Ee,use_cpu:T},[Ke]:{type:"l2i",id:Ke,fp32:C},[Ce]:{type:"denoise_latents",id:Ce,cfg_scale:o,scheduler:s,steps:a,denoising_start:S?Math.min(w,1-x):1-x,denoising_end:S?w:1},[Fn]:{type:"i2l",id:Fn,fp32:C}},edges:[{source:{node_id:A,field:"unet"},destination:{node_id:Ce,field:"unet"}},{source:{node_id:A,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:Ue,field:"clip2"}},{source:{node_id:A,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:He,field:"clip2"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Ce,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Ce,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Ce,field:"noise"}},{source:{node_id:Fn,field:"latents"},destination:{node_id:Ce,field:"latents"}},{source:{node_id:Ce,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(u&&(l.width!==c||l.height!==d)){const E={id:ra,type:"img_resize",image:{image_name:l.imageName},is_intermediate:!0,width:c,height:d};N.nodes[ra]=E,N.edges.push({source:{node_id:ra,field:"image"},destination:{node_id:Fn,field:"image"}}),N.edges.push({source:{node_id:ra,field:"width"},destination:{node_id:Ee,field:"width"}}),N.edges.push({source:{node_id:ra,field:"height"},destination:{node_id:Ee,field:"height"}})}else N.nodes[Fn].image={image_name:l.imageName},N.edges.push({source:{node_id:Fn,field:"width"},destination:{node_id:Ee,field:"width"}}),N.edges.push({source:{node_id:Fn,field:"height"},destination:{node_id:Ee,field:"height"}});return N.nodes[Pt]={id:Pt,type:"metadata_accumulator",generation_mode:"sdxl_img2img",cfg_scale:o,height:d,width:c,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:T?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:f,strength:x,init_image:l.imageName,positive_style_prompt:y,negative_style_prompt:g},N.edges.push({source:{node_id:Pt,field:"metadata"},destination:{node_id:Ke,field:"metadata"}}),(b||_)&&(ds(e,N,A),A=Br),S&&(_h(e,N,Ce),(b||_)&&(A=As)),fs(e,N,A),vh(e,N,Ce,A),ls(e,N,Ce),us(e,N,Ce),Bu(e,N),e.system.shouldUseNSFWChecker&&cs(e,N),e.system.shouldUseWatermarker&&hs(e,N),N},Owe=()=>{Te({predicate:e=>Fm.match(e)&&e.payload==="img2img",effect:async(e,{getState:t,dispatch:n,take:r})=>{const i=ge("session"),o=t(),s=o.generation.model;let a;s&&s.base_model==="sdxl"?a=Iwe(o):a=Rwe(o),n(YB(a)),i.debug({graph:mn(a)},"Image to Image graph built"),n(xi({graph:a})),await r(xi.fulfilled.match),n(od())}})},Mwe=/[$_\p{ID_Start}][$\u200c\u200d\p{ID_Continue}]*/u;function Nwe(e){return e.length===1?e[0].toString():e.reduce((t,n)=>{if(typeof n=="number")return t+"["+n.toString()+"]";if(n.includes('"'))return t+'["'+Dwe(n)+'"]';if(!Mwe.test(n))return t+'["'+n+'"]';const 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extends Rr{constructor(t,n){super(),LS(this,n),this.opts=n,this.method=n.method||"GET",this.uri=t,this.data=n.data!==void 0?n.data:null,this.create()}create(){var t;const n=iU(this.opts,"agent","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","autoUnref");n.xdomain=!!this.opts.xd;const r=this.xhr=new lU(n);try{r.open(this.method,this.uri,!0);try{if(this.opts.extraHeaders){r.setDisableHeaderCheck&&r.setDisableHeaderCheck(!0);for(let i in this.opts.extraHeaders)this.opts.extraHeaders.hasOwnProperty(i)&&r.setRequestHeader(i,this.opts.extraHeaders[i])}}catch{}if(this.method==="POST")try{r.setRequestHeader("Content-type","text/plain;charset=UTF-8")}catch{}try{r.setRequestHeader("Accept","*/*")}catch{}(t=this.opts.cookieJar)===null||t===void 0||t.addCookies(r),"withCredentials"in r&&(r.withCredentials=this.opts.withCredentials),this.opts.requestTimeout&&(r.timeout=this.opts.requestTimeout),r.onreadystatechange=()=>{var i;r.readyState===3&&((i=this.opts.cookieJar)===null||i===void 0||i.parseCookies(r)),r.readyState===4&&(r.status===200||r.status===1223?this.onLoad():this.setTimeoutFn(()=>{this.onError(typeof r.status=="number"?r.status:0)},0))},r.send(this.data)}catch(i){this.setTimeoutFn(()=>{this.onError(i)},0);return}typeof document<"u"&&(this.index=V0.requestsCount++,V0.requests[this.index]=this)}onError(t){this.emitReserved("error",t,this.xhr),this.cleanup(!0)}cleanup(t){if(!(typeof this.xhr>"u"||this.xhr===null)){if(this.xhr.onreadystatechange=Cxe,t)try{this.xhr.abort()}catch{}typeof document<"u"&&delete V0.requests[this.index],this.xhr=null}}onLoad(){const t=this.xhr.responseText;t!==null&&(this.emitReserved("data",t),this.emitReserved("success"),this.cleanup())}abort(){this.cleanup()}};bf.requestsCount=0;bf.requests={};if(typeof document<"u"){if(typeof attachEvent=="function")attachEvent("onunload",zR);else if(typeof addEventListener=="function"){const e="onpagehide"in Xo?"pagehide":"unload";addEventListener(e,zR,!1)}}function zR(){for(let e in bf.requests)bf.requests.hasOwnProperty(e)&&bf.requests[e].abort()}const HT=(()=>typeof Promise=="function"&&typeof Promise.resolve=="function"?t=>Promise.resolve().then(t):(t,n)=>n(t,0))(),s0=Xo.WebSocket||Xo.MozWebSocket,UR=!0,Axe="arraybuffer",jR=typeof navigator<"u"&&typeof navigator.product=="string"&&navigator.product.toLowerCase()==="reactnative";class kxe extends GT{constructor(t){super(t),this.supportsBinary=!t.forceBase64}get name(){return"websocket"}doOpen(){if(!this.check())return;const t=this.uri(),n=this.opts.protocols,r=jR?{}:iU(this.opts,"agent","perMessageDeflate","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","localAddress","protocolVersion","origin","maxPayload","family","checkServerIdentity");this.opts.extraHeaders&&(r.headers=this.opts.extraHeaders);try{this.ws=UR&&!jR?n?new s0(t,n):new s0(t):new s0(t,n,r)}catch(i){return this.emitReserved("error",i)}this.ws.binaryType=this.socket.binaryType,this.addEventListeners()}addEventListeners(){this.ws.onopen=()=>{this.opts.autoUnref&&this.ws._socket.unref(),this.onOpen()},this.ws.onclose=t=>this.onClose({description:"websocket connection closed",context:t}),this.ws.onmessage=t=>this.onData(t.data),this.ws.onerror=t=>this.onError("websocket error",t)}write(t){this.writable=!1;for(let n=0;n{const s={};try{UR&&this.ws.send(o)}catch{}i&&HT(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){typeof this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){const t=this.opts.secure?"wss":"ws",n=this.query||{};return this.opts.timestampRequests&&(n[this.opts.timestampParam]=sU()),this.supportsBinary||(n.b64=1),this.createUri(t,n)}check(){return!!s0}}class Pxe extends GT{get name(){return"webtransport"}doOpen(){typeof WebTransport=="function"&&(this.transport=new WebTransport(this.createUri("https"),this.opts.transportOptions[this.name]),this.transport.closed.then(()=>{this.onClose()}).catch(t=>{this.onError("webtransport error",t)}),this.transport.ready.then(()=>{this.transport.createBidirectionalStream().then(t=>{const n=fxe(Number.MAX_SAFE_INTEGER,this.socket.binaryType),r=t.readable.pipeThrough(n).getReader(),i=dxe();i.readable.pipeTo(t.writable),this.writer=i.writable.getWriter();const o=()=>{r.read().then(({done:a,value:l})=>{a||(this.onPacket(l),o())}).catch(a=>{})};o();const s={type:"open"};this.query.sid&&(s.data=`{"sid":"${this.query.sid}"}`),this.writer.write(s).then(()=>this.onOpen())})}))}write(t){this.writable=!1;for(let n=0;n{i&&HT(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){var t;(t=this.transport)===null||t===void 0||t.close()}}const Rxe={websocket:kxe,webtransport:Pxe,polling:Txe},Ixe=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,Oxe=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function m3(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=Ixe.exec(e||""),o={},s=14;for(;s--;)o[Oxe[s]]=i[s]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=Mxe(o,o.path),o.queryKey=Nxe(o,o.query),o}function Mxe(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function Nxe(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let uU=class Od extends Rr{constructor(t,n={}){super(),this.binaryType=Axe,this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=m3(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=m3(n.host).host),LS(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=bxe(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=rU,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new Rxe[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Od.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;Od.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",d=>{if(!r)if(d.type==="pong"&&d.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;Od.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(c(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const f=new Error("probe error");f.transport=n.name,this.emitReserved("upgradeError",f)}}))};function o(){r||(r=!0,c(),n.close(),n=null)}const s=d=>{const f=new Error("probe error: "+d);f.transport=n.name,o(),this.emitReserved("upgradeError",f)};function a(){s("transport closed")}function l(){s("socket closed")}function u(d){n&&d.name!==n.name&&o()}const c=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",Od.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){Od.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;rtypeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,cU=Object.prototype.toString,Fxe=typeof Blob=="function"||typeof Blob<"u"&&cU.call(Blob)==="[object BlobConstructor]",Bxe=typeof File=="function"||typeof File<"u"&&cU.call(File)==="[object FileConstructor]";function qT(e){return Lxe&&(e instanceof ArrayBuffer||$xe(e))||Fxe&&e instanceof Blob||Bxe&&e instanceof File}function G0(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n=0&&e.num{delete this.acks[t];for(let s=0;s{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:Nt.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case Nt.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case Nt.EVENT:case Nt.BINARY_EVENT:this.onevent(t);break;case Nt.ACK:case Nt.BINARY_ACK:this.onack(t);break;case Nt.DISCONNECT:this.ondisconnect();break;case Nt.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:Nt.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:Nt.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const n=this._anyListeners;for(let r=0;r0&&e.jitter<=1?e.jitter:0,this.attempts=0}bh.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),n=Math.floor(t*this.jitter*e);e=Math.floor(t*10)&1?e+n:e-n}return Math.min(e,this.max)|0};bh.prototype.reset=function(){this.attempts=0};bh.prototype.setMin=function(e){this.ms=e};bh.prototype.setMax=function(e){this.max=e};bh.prototype.setJitter=function(e){this.jitter=e};class _3 extends Rr{constructor(t,n){var r;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(n=t,t=void 0),n=n||{},n.path=n.path||"/socket.io",this.opts=n,LS(this,n),this.reconnection(n.reconnection!==!1),this.reconnectionAttempts(n.reconnectionAttempts||1/0),this.reconnectionDelay(n.reconnectionDelay||1e3),this.reconnectionDelayMax(n.reconnectionDelayMax||5e3),this.randomizationFactor((r=n.randomizationFactor)!==null&&r!==void 0?r:.5),this.backoff=new bh({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(n.timeout==null?2e4:n.timeout),this._readyState="closed",this.uri=t;const i=n.parser||qxe;this.encoder=new i.Encoder,this.decoder=new i.Decoder,this._autoConnect=n.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var n;return t===void 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i&&(Ml(r.x,i.offset.x),Ml(r.y,i.offset.y)),r}const A4e=new WeakMap;class k4e{constructor(t){this.openGlobalLock=null,this.isDragging=!1,this.currentDirection=null,this.originPoint={x:0,y:0},this.constraints=!1,this.hasMutatedConstraints=!1,this.elastic=Ar(),this.visualElement=t}start(t,{snapToCursor:n=!1}={}){const{presenceContext:r}=this.visualElement;if(r&&r.isPresent===!1)return;const i=l=>{this.stopAnimation(),n&&this.snapToCursor(WS(l,"page").point)},o=(l,u)=>{const{drag:c,dragPropagation:d,onDragStart:f}=this.getProps();if(c&&!d&&(this.openGlobalLock&&this.openGlobalLock(),this.openGlobalLock=rj(c),!this.openGlobalLock))return;this.isDragging=!0,this.currentDirection=null,this.resolveConstraints(),this.visualElement.projection&&(this.visualElement.projection.isAnimationBlocked=!0,this.visualElement.projection.target=void 0),Qs(p=>{let m=this.getAxisMotionValue(p).get()||0;if(ma.test(m)){const{projection:b}=this.visualElement;if(b&&b.layout){const 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r=this.isDragging;if(this.cancel(),!r)return;const{velocity:i}=n;this.startAnimation(i);const{onDragEnd:o}=this.getProps();o&&kn.update(()=>o(t,n))}cancel(){this.isDragging=!1;const{projection:t,animationState:n}=this.visualElement;t&&(t.isAnimationBlocked=!1),this.panSession&&this.panSession.end(),this.panSession=void 0;const{dragPropagation:r}=this.getProps();!r&&this.openGlobalLock&&(this.openGlobalLock(),this.openGlobalLock=null),n&&n.setActive("whileDrag",!1)}updateAxis(t,n,r){const{drag:i}=this.getProps();if(!r||!f0(t,i,this.currentDirection))return;const o=this.getAxisMotionValue(t);let s=this.originPoint[t]+r[t];this.constraints&&this.constraints[t]&&(s=g4e(s,this.constraints[t],this.elastic[t])),o.set(s)}resolveConstraints(){const{dragConstraints:t,dragElastic:n}=this.getProps(),{layout:r}=this.visualElement.projection||{},i=this.constraints;t&&Kd(t)?this.constraints||(this.constraints=this.resolveRefConstraints()):t&&r?this.constraints=m4e(r.layoutBox,t):this.constraints=!1,this.elastic=b4e(n),i!==this.constraints&&r&&this.constraints&&!this.hasMutatedConstraints&&Qs(o=>{this.getAxisMotionValue(o)&&(this.constraints[o]=_4e(r.layoutBox[o],this.constraints[o]))})}resolveRefConstraints(){const{dragConstraints:t,onMeasureDragConstraints:n}=this.getProps();if(!t||!Kd(t))return!1;const r=t.current,{projection:i}=this.visualElement;if(!i||!i.layout)return!1;const o=T4e(r,i.root,this.visualElement.getTransformPagePoint());let s=y4e(i.layout.layoutBox,o);if(n){const a=n(S4e(s));this.hasMutatedConstraints=!!a,a&&(s=Uj(a))}return s}startAnimation(t){const{drag:n,dragMomentum:r,dragElastic:i,dragTransition:o,dragSnapToOrigin:s,onDragTransitionEnd:a}=this.getProps(),l=this.constraints||{},u=Qs(c=>{if(!f0(c,n,this.currentDirection))return;let d=l&&l[c]||{};s&&(d={min:0,max:0});const f=i?200:1e6,h=i?40:1e7,p={type:"inertia",velocity:r?t[c]:0,bounceStiffness:f,bounceDamping:h,timeConstant:750,restDelta:1,restSpeed:10,...o,...d};return this.startAxisValueAnimation(c,p)});return Promise.all(u).then(a)}startAxisValueAnimation(t,n){const r=this.getAxisMotionValue(t);return r.start(w4(t,r,0,n))}stopAnimation(){Qs(t=>this.getAxisMotionValue(t).stop())}getAxisMotionValue(t){const n="_drag"+t.toUpperCase(),r=this.visualElement.getProps(),i=r[n];return i||this.visualElement.getValue(t,(r.initial?r.initial[t]:void 0)||0)}snapToCursor(t){Qs(n=>{const{drag:r}=this.getProps();if(!f0(n,r,this.currentDirection))return;const{projection:i}=this.visualElement,o=this.getAxisMotionValue(n);if(i&&i.layout){const{min:s,max:a}=i.layout.layoutBox[n];o.set(t[n]-rr(s,a,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!Kd(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};Qs(s=>{const a=this.getAxisMotionValue(s);if(a){const l=a.get();i[s]=v4e({min:l,max:l},this.constraints[s])}});const{transformTemplate:o}=this.visualElement.getProps();this.visualElement.current.style.transform=o?o({},""):"none",r.root&&r.root.updateScroll(),r.updateLayout(),this.resolveConstraints(),Qs(s=>{if(!f0(s,t,null))return;const a=this.getAxisMotionValue(s),{min:l,max:u}=this.constraints[s];a.set(rr(l,u,i[s]))})}addListeners(){if(!this.visualElement.current)return;A4e.set(this.visualElement,this);const t=this.visualElement.current,n=Ja(t,"pointerdown",l=>{const{drag:u,dragListener:c=!0}=this.getProps();u&&c&&this.start(l)}),r=()=>{const{dragConstraints:l}=this.getProps();Kd(l)&&(this.constraints=this.resolveRefConstraints())},{projection:i}=this.visualElement,o=i.addEventListener("measure",r);i&&!i.layout&&(i.root&&i.root.updateScroll(),i.updateLayout()),r();const s=Ka(window,"resize",()=>this.scalePositionWithinConstraints()),a=i.addEventListener("didUpdate",({delta:l,hasLayoutChanged:u})=>{this.isDragging&&u&&(Qs(c=>{const d=this.getAxisMotionValue(c);d&&(this.originPoint[c]+=l[c].translate,d.set(d.get()+l[c].translate))}),this.visualElement.render())});return()=>{s(),n(),o(),a&&a()}}getProps(){const t=this.visualElement.getProps(),{drag:n=!1,dragDirectionLock:r=!1,dragPropagation:i=!1,dragConstraints:o=!1,dragElastic:s=$3,dragMomentum:a=!0}=t;return{...t,drag:n,dragDirectionLock:r,dragPropagation:i,dragConstraints:o,dragElastic:s,dragMomentum:a}}}function f0(e,t,n){return(t===!0||t===e)&&(n===null||n===e)}function P4e(e,t=10){let n=null;return Math.abs(e.y)>t?n="y":Math.abs(e.x)>t&&(n="x"),n}class R4e extends Uu{constructor(t){super(t),this.removeGroupControls=dr,this.removeListeners=dr,this.controls=new k4e(t)}mount(){const{dragControls:t}=this.node.getProps();t&&(this.removeGroupControls=t.subscribe(this.controls)),this.removeListeners=this.controls.addListeners()||dr}unmount(){this.removeGroupControls(),this.removeListeners()}}const jI=e=>(t,n)=>{e&&kn.update(()=>e(t,n))};class I4e extends Uu{constructor(){super(...arguments),this.removePointerDownListener=dr}onPointerDown(t){this.session=new Bj(t,this.createPanHandlers(),{transformPagePoint:this.node.getTransformPagePoint()})}createPanHandlers(){const{onPanSessionStart:t,onPanStart:n,onPan:r,onPanEnd:i}=this.node.getProps();return{onSessionStart:jI(t),onStart:jI(n),onMove:r,onEnd:(o,s)=>{delete this.session,i&&kn.update(()=>i(o,s))}}}mount(){this.removePointerDownListener=Ja(this.node.current,"pointerdown",t=>this.onPointerDown(t))}update(){this.session&&this.session.updateHandlers(this.createPanHandlers())}unmount(){this.removePointerDownListener(),this.session&&this.session.end()}}function O4e(){const e=M.useContext(Hm);if(e===null)return[!0,null];const{isPresent:t,onExitComplete:n,register:r}=e,i=M.useId();return M.useEffect(()=>r(i),[]),!t&&n?[!1,()=>n&&n(i)]:[!0]}function YMe(){return M4e(M.useContext(Hm))}function M4e(e){return e===null?!0:e.isPresent}const Z0={hasAnimatedSinceResize:!0,hasEverUpdated:!1};function VI(e,t){return t.max===t.min?0:e/(t.max-t.min)*100}const Yh={correct:(e,t)=>{if(!t.target)return e;if(typeof e=="string")if(rt.test(e))e=parseFloat(e);else return e;const n=VI(e,t.target.x),r=VI(e,t.target.y);return`${n}% ${r}%`}},N4e={correct:(e,{treeScale:t,projectionDelta:n})=>{const r=e,i=Cu.parse(e);if(i.length>5)return r;const o=Cu.createTransformer(e),s=typeof i[0]!="number"?1:0,a=n.x.scale*t.x,l=n.y.scale*t.y;i[0+s]/=a,i[1+s]/=l;const u=rr(a,l,.5);return typeof i[2+s]=="number"&&(i[2+s]/=u),typeof i[3+s]=="number"&&(i[3+s]/=u),o(i)}};class D4e extends vn.Component{componentDidMount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r,layoutId:i}=this.props,{projection:o}=t;UEe(L4e),o&&(n.group&&n.group.add(o),r&&r.register&&i&&r.register(o),o.root.didUpdate(),o.addEventListener("animationComplete",()=>{this.safeToRemove()}),o.setOptions({...o.options,onExitComplete:()=>this.safeToRemove()})),Z0.hasEverUpdated=!0}getSnapshotBeforeUpdate(t){const{layoutDependency:n,visualElement:r,drag:i,isPresent:o}=this.props,s=r.projection;return s&&(s.isPresent=o,i||t.layoutDependency!==n||n===void 0?s.willUpdate():this.safeToRemove(),t.isPresent!==o&&(o?s.promote():s.relegate()||kn.postRender(()=>{const a=s.getStack();(!a||!a.members.length)&&this.safeToRemove()}))),null}componentDidUpdate(){const{projection:t}=this.props.visualElement;t&&(t.root.didUpdate(),queueMicrotask(()=>{!t.currentAnimation&&t.isLead()&&this.safeToRemove()}))}componentWillUnmount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r}=this.props,{projection:i}=t;i&&(i.scheduleCheckAfterUnmount(),n&&n.group&&n.group.remove(i),r&&r.deregister&&r.deregister(i))}safeToRemove(){const{safeToRemove:t}=this.props;t&&t()}render(){return null}}function Hj(e){const[t,n]=O4e(),r=M.useContext(l4);return vn.createElement(D4e,{...e,layoutGroup:r,switchLayoutGroup:M.useContext(zU),isPresent:t,safeToRemove:n})}const L4e={borderRadius:{...Yh,applyTo:["borderTopLeftRadius","borderTopRightRadius","borderBottomLeftRadius","borderBottomRightRadius"]},borderTopLeftRadius:Yh,borderTopRightRadius:Yh,borderBottomLeftRadius:Yh,borderBottomRightRadius:Yh,boxShadow:N4e},qj=["TopLeft","TopRight","BottomLeft","BottomRight"],$4e=qj.length,GI=e=>typeof e=="string"?parseFloat(e):e,HI=e=>typeof e=="number"||rt.test(e);function F4e(e,t,n,r,i,o){i?(e.opacity=rr(0,n.opacity!==void 0?n.opacity:1,B4e(r)),e.opacityExit=rr(t.opacity!==void 0?t.opacity:1,0,z4e(r))):o&&(e.opacity=rr(t.opacity!==void 0?t.opacity:1,n.opacity!==void 0?n.opacity:1,r));for(let s=0;s<$4e;s++){const a=`border${qj[s]}Radius`;let l=qI(t,a),u=qI(n,a);if(l===void 0&&u===void 0)continue;l||(l=0),u||(u=0),l===0||u===0||HI(l)===HI(u)?(e[a]=Math.max(rr(GI(l),GI(u),r),0),(ma.test(u)||ma.test(l))&&(e[a]+="%")):e[a]=u}(t.rotate||n.rotate)&&(e.rotate=rr(t.rotate||0,n.rotate||0,r))}function qI(e,t){return e[t]!==void 0?e[t]:e.borderRadius}const B4e=Wj(0,.5,v4),z4e=Wj(.5,.95,dr);function Wj(e,t,n){return r=>rt?1:n(Zg(e,t,r))}function WI(e,t){e.min=t.min,e.max=t.max}function Go(e,t){WI(e.x,t.x),WI(e.y,t.y)}function KI(e,t,n,r,i){return e-=t,e=j1(e,1/n,r),i!==void 0&&(e=j1(e,1/i,r)),e}function U4e(e,t=0,n=1,r=.5,i,o=e,s=e){if(ma.test(t)&&(t=parseFloat(t),t=rr(s.min,s.max,t/100)-s.min),typeof t!="number")return;let a=rr(o.min,o.max,r);e===o&&(a-=t),e.min=KI(e.min,t,n,a,i),e.max=KI(e.max,t,n,a,i)}function XI(e,t,[n,r,i],o,s){U4e(e,t[n],t[r],t[i],t.scale,o,s)}const j4e=["x","scaleX","originX"],V4e=["y","scaleY","originY"];function QI(e,t,n,r){XI(e.x,t,j4e,n?n.x:void 0,r?r.x:void 0),XI(e.y,t,V4e,n?n.y:void 0,r?r.y:void 0)}function YI(e){return e.translate===0&&e.scale===1}function Kj(e){return YI(e.x)&&YI(e.y)}function G4e(e,t){return e.x.min===t.x.min&&e.x.max===t.x.max&&e.y.min===t.y.min&&e.y.max===t.y.max}function Xj(e,t){return Math.round(e.x.min)===Math.round(t.x.min)&&Math.round(e.x.max)===Math.round(t.x.max)&&Math.round(e.y.min)===Math.round(t.y.min)&&Math.round(e.y.max)===Math.round(t.y.max)}function ZI(e){return Lo(e.x)/Lo(e.y)}class H4e{constructor(){this.members=[]}add(t){x4(this.members,t),t.scheduleRender()}remove(t){if(C4(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(i=>t===i);if(n===0)return!1;let r;for(let i=n;i>=0;i--){const o=this.members[i];if(o.isPresent!==!1){r=o;break}}return r?(this.promote(r),!0):!1}promote(t,n){const r=this.lead;if(t!==r&&(this.prevLead=r,this.lead=t,t.show(),r)){r.instance&&r.scheduleRender(),t.scheduleRender(),t.resumeFrom=r,n&&(t.resumeFrom.preserveOpacity=!0),r.snapshot&&(t.snapshot=r.snapshot,t.snapshot.latestValues=r.animationValues||r.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&r.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:r}=t;n.onExitComplete&&n.onExitComplete(),r&&r.options.onExitComplete&&r.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function JI(e,t,n){let r="";const i=e.x.translate/t.x,o=e.y.translate/t.y;if((i||o)&&(r=`translate3d(${i}px, ${o}px, 0) `),(t.x!==1||t.y!==1)&&(r+=`scale(${1/t.x}, ${1/t.y}) `),n){const{rotate:l,rotateX:u,rotateY:c}=n;l&&(r+=`rotate(${l}deg) `),u&&(r+=`rotateX(${u}deg) `),c&&(r+=`rotateY(${c}deg) `)}const s=e.x.scale*t.x,a=e.y.scale*t.y;return(s!==1||a!==1)&&(r+=`scale(${s}, ${a})`),r||"none"}const q4e=(e,t)=>e.depth-t.depth;class W4e{constructor(){this.children=[],this.isDirty=!1}add(t){x4(this.children,t),this.isDirty=!0}remove(t){C4(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(q4e),this.isDirty=!1,this.children.forEach(t)}}function K4e(e,t){const n=performance.now(),r=({timestamp:i})=>{const o=i-n;o>=t&&(cl(r),e(o-t))};return kn.read(r,!0),()=>cl(r)}function X4e(e){window.MotionDebug&&window.MotionDebug.record(e)}function Q4e(e){return e instanceof SVGElement&&e.tagName!=="svg"}function Y4e(e,t,n){const r=_o(e)?e:Zf(e);return r.start(w4("",r,t,n)),r.animation}const eO=["","X","Y","Z"],tO=1e3;let Z4e=0;const nc={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0};function Qj({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:i}){return class{constructor(s={},a=t==null?void 0:t()){this.id=Z4e++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{nc.totalNodes=nc.resolvedTargetDeltas=nc.recalculatedProjection=0,this.nodes.forEach(tAe),this.nodes.forEach(sAe),this.nodes.forEach(aAe),this.nodes.forEach(nAe),X4e(nc)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;lthis.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,d&&d(),d=K4e(f,250),Z0.hasAnimatedSinceResize&&(Z0.hasAnimatedSinceResize=!1,this.nodes.forEach(rO))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&c&&(l||u)&&this.addEventListener("didUpdate",({delta:d,hasLayoutChanged:f,hasRelativeTargetChanged:h,layout:p})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const m=this.options.transition||c.getDefaultTransition()||fAe,{onLayoutAnimationStart:b,onLayoutAnimationComplete:_}=c.getProps(),y=!this.targetLayout||!Xj(this.targetLayout,p)||h,g=!f&&h;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||g||f&&(y||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(d,g);const v={...Nj(m,"layout"),onPlay:b,onComplete:_};(c.shouldReduceMotion||this.options.layoutRoot)&&(v.delay=0,v.type=!1),this.startAnimation(v)}else f||rO(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=p})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,cl(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(lAe),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let c=0;cthis.update()))}clearAllSnapshots(){this.nodes.forEach(rAe),this.sharedNodes.forEach(uAe)}scheduleUpdateProjection(){kn.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){kn.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l{const S=v/1e3;iO(d.x,s.x,S),iO(d.y,s.y,S),this.setTargetDelta(d),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Rp(f,this.layout.layoutBox,this.relativeParent.layout.layoutBox),cAe(this.relativeTarget,this.relativeTargetOrigin,f,S),g&&G4e(this.relativeTarget,g)&&(this.isProjectionDirty=!1),g||(g=Ar()),Go(g,this.relativeTarget)),m&&(this.animationValues=c,F4e(c,u,this.latestValues,S,y,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=S},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(cl(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=kn.update(()=>{Z0.hasAnimatedSinceResize=!0,this.currentAnimation=Y4e(0,tO,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(tO),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:c}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&Yj(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Ar();const d=Lo(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+d;const f=Lo(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+f}Go(a,l),Yd(a,c),Pp(this.projectionDeltaWithTransform,this.layoutCorrected,a,c)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new H4e),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let c=0;c{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(nO),this.root.sharedNodes.clear()}}}function J4e(e){e.updateLayout()}function eAe(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?Qs(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=Lo(f);f.min=r[d].min,f.max=f.min+h}):Yj(o,n.layoutBox,r)&&Qs(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=Lo(r[d]);f.max=f.min+h,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[d].max=e.relativeTarget[d].min+h)});const a=Qd();Pp(a,r,n.layoutBox);const l=Qd();s?Pp(l,e.applyTransform(i,!0),n.measuredBox):Pp(l,r,n.layoutBox);const u=!Kj(a);let c=!1;if(!e.resumeFrom){const d=e.getClosestProjectingParent();if(d&&!d.resumeFrom){const{snapshot:f,layout:h}=d;if(f&&h){const p=Ar();Rp(p,n.layoutBox,f.layoutBox);const m=Ar();Rp(m,r,h.layoutBox),Xj(p,m)||(c=!0),d.options.layoutRoot&&(e.relativeTarget=m,e.relativeTargetOrigin=p,e.relativeParent=d)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:c})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function tAe(e){nc.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function nAe(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function rAe(e){e.clearSnapshot()}function nO(e){e.clearMeasurements()}function iAe(e){e.isLayoutDirty=!1}function oAe(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function rO(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function sAe(e){e.resolveTargetDelta()}function aAe(e){e.calcProjection()}function lAe(e){e.resetRotation()}function uAe(e){e.removeLeadSnapshot()}function iO(e,t,n){e.translate=rr(t.translate,0,n),e.scale=rr(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function oO(e,t,n,r){e.min=rr(t.min,n.min,r),e.max=rr(t.max,n.max,r)}function cAe(e,t,n,r){oO(e.x,t.x,n.x,r),oO(e.y,t.y,n.y,r)}function dAe(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const fAe={duration:.45,ease:[.4,0,.1,1]},sO=e=>typeof navigator<"u"&&navigator.userAgent.toLowerCase().includes(e),aO=sO("applewebkit/")&&!sO("chrome/")?Math.round:dr;function lO(e){e.min=aO(e.min),e.max=aO(e.max)}function hAe(e){lO(e.x),lO(e.y)}function Yj(e,t,n){return e==="position"||e==="preserve-aspect"&&!L3(ZI(t),ZI(n),.2)}const pAe=Qj({attachResizeListener:(e,t)=>Ka(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),Yw={current:void 0},Zj=Qj({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!Yw.current){const e=new pAe({});e.mount(window),e.setOptions({layoutScroll:!0}),Yw.current=e}return Yw.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>window.getComputedStyle(e).position==="fixed"}),gAe={pan:{Feature:I4e},drag:{Feature:R4e,ProjectionNode:Zj,MeasureLayout:Hj}},mAe=/var\((--[a-zA-Z0-9-_]+),? ?([a-zA-Z0-9 ()%#.,-]+)?\)/;function yAe(e){const t=mAe.exec(e);if(!t)return[,];const[,n,r]=t;return[n,r]}function z3(e,t,n=1){const[r,i]=yAe(e);if(!r)return;const o=window.getComputedStyle(t).getPropertyValue(r);if(o){const s=o.trim();return Dj(s)?parseFloat(s):s}else return P3(i)?z3(i,t,n+1):i}function vAe(e,{...t},n){const r=e.current;if(!(r instanceof Element))return{target:t,transitionEnd:n};n&&(n={...n}),e.values.forEach(i=>{const o=i.get();if(!P3(o))return;const s=z3(o,r);s&&i.set(s)});for(const i in t){const o=t[i];if(!P3(o))continue;const s=z3(o,r);s&&(t[i]=s,n||(n={}),n[i]===void 0&&(n[i]=o))}return{target:t,transitionEnd:n}}const _Ae=new Set(["width","height","top","left","right","bottom","x","y","translateX","translateY"]),Jj=e=>_Ae.has(e),bAe=e=>Object.keys(e).some(Jj),uO=e=>e===ld||e===rt,cO=(e,t)=>parseFloat(e.split(", ")[t]),dO=(e,t)=>(n,{transform:r})=>{if(r==="none"||!r)return 0;const i=r.match(/^matrix3d\((.+)\)$/);if(i)return cO(i[1],t);{const o=r.match(/^matrix\((.+)\)$/);return o?cO(o[1],e):0}},SAe=new Set(["x","y","z"]),wAe=qm.filter(e=>!SAe.has(e));function xAe(e){const t=[];return wAe.forEach(n=>{const r=e.getValue(n);r!==void 0&&(t.push([n,r.get()]),r.set(n.startsWith("scale")?1:0))}),t.length&&e.render(),t}const Jf={width:({x:e},{paddingLeft:t="0",paddingRight:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),height:({y:e},{paddingTop:t="0",paddingBottom:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),top:(e,{top:t})=>parseFloat(t),left:(e,{left:t})=>parseFloat(t),bottom:({y:e},{top:t})=>parseFloat(t)+(e.max-e.min),right:({x:e},{left:t})=>parseFloat(t)+(e.max-e.min),x:dO(4,13),y:dO(5,14)};Jf.translateX=Jf.x;Jf.translateY=Jf.y;const CAe=(e,t,n)=>{const r=t.measureViewportBox(),i=t.current,o=getComputedStyle(i),{display:s}=o,a={};s==="none"&&t.setStaticValue("display",e.display||"block"),n.forEach(u=>{a[u]=Jf[u](r,o)}),t.render();const l=t.measureViewportBox();return n.forEach(u=>{const c=t.getValue(u);c&&c.jump(a[u]),e[u]=Jf[u](l,o)}),e},EAe=(e,t,n={},r={})=>{t={...t},r={...r};const i=Object.keys(t).filter(Jj);let o=[],s=!1;const a=[];if(i.forEach(l=>{const u=e.getValue(l);if(!e.hasValue(l))return;let c=n[l],d=Qh(c);const f=t[l];let h;if($1(f)){const p=f.length,m=f[0]===null?1:0;c=f[m],d=Qh(c);for(let b=m;b=0?window.pageYOffset:null,u=CAe(t,e,a);return o.length&&o.forEach(([c,d])=>{e.getValue(c).set(d)}),e.render(),VS&&l!==null&&window.scrollTo({top:l}),{target:u,transitionEnd:r}}else return{target:t,transitionEnd:r}};function TAe(e,t,n,r){return bAe(t)?EAe(e,t,n,r):{target:t,transitionEnd:r}}const AAe=(e,t,n,r)=>{const i=vAe(e,t,r);return t=i.target,r=i.transitionEnd,TAe(e,t,n,r)},U3={current:null},eV={current:!1};function kAe(){if(eV.current=!0,!!VS)if(window.matchMedia){const e=window.matchMedia("(prefers-reduced-motion)"),t=()=>U3.current=e.matches;e.addListener(t),t()}else U3.current=!1}function PAe(e,t,n){const{willChange:r}=t;for(const i in t){const o=t[i],s=n[i];if(_o(o))e.addValue(i,o),U1(r)&&r.add(i);else if(_o(s))e.addValue(i,Zf(o,{owner:e})),U1(r)&&r.remove(i);else if(s!==o)if(e.hasValue(i)){const a=e.getValue(i);!a.hasAnimated&&a.set(o)}else{const a=e.getStaticValue(i);e.addValue(i,Zf(a!==void 0?a:o,{owner:e}))}}for(const i in n)t[i]===void 0&&e.removeValue(i);return t}const fO=new WeakMap,tV=Object.keys(Yg),RAe=tV.length,hO=["AnimationStart","AnimationComplete","Update","BeforeLayoutMeasure","LayoutMeasure","LayoutAnimationStart","LayoutAnimationComplete"],IAe=a4.length;class OAe{constructor({parent:t,props:n,presenceContext:r,reducedMotionConfig:i,visualState:o},s={}){this.current=null,this.children=new Set,this.isVariantNode=!1,this.isControllingVariants=!1,this.shouldReduceMotion=null,this.values=new Map,this.features={},this.valueSubscriptions=new Map,this.prevMotionValues={},this.events={},this.propEventSubscriptions={},this.notifyUpdate=()=>this.notify("Update",this.latestValues),this.render=()=>{this.current&&(this.triggerBuild(),this.renderInstance(this.current,this.renderState,this.props.style,this.projection))},this.scheduleRender=()=>kn.render(this.render,!1,!0);const{latestValues:a,renderState:l}=o;this.latestValues=a,this.baseTarget={...a},this.initialValues=n.initial?{...a}:{},this.renderState=l,this.parent=t,this.props=n,this.presenceContext=r,this.depth=t?t.depth+1:0,this.reducedMotionConfig=i,this.options=s,this.isControllingVariants=HS(n),this.isVariantNode=BU(n),this.isVariantNode&&(this.variantChildren=new Set),this.manuallyAnimateOnMount=!!(t&&t.current);const{willChange:u,...c}=this.scrapeMotionValuesFromProps(n,{});for(const d in c){const f=c[d];a[d]!==void 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0&&(i=rPe);const{isTop:u,isBottom:c,isLeft:d,isRight:f}=wV(e),h={x:0,y:0},p={x:0,y:0},m={height:t.height*i.y,width:t.width*i.x};return!u&&o<=t.top+m.height?(h.y=ti.Backward,p.y=r*Math.abs((t.top+m.height-o)/m.height)):!c&&l>=t.bottom-m.height&&(h.y=ti.Forward,p.y=r*Math.abs((t.bottom-m.height-l)/m.height)),!f&&a>=t.right-m.width?(h.x=ti.Forward,p.x=r*Math.abs((t.right-m.width-a)/m.width)):!d&&s<=t.left+m.width&&(h.x=ti.Backward,p.x=r*Math.abs((t.left+m.width-s)/m.width)),{direction:h,speed:p}}function oPe(e){if(e===document.scrollingElement){const{innerWidth:o,innerHeight:s}=window;return{top:0,left:0,right:o,bottom:s,width:o,height:s}}const{top:t,left:n,right:r,bottom:i}=e.getBoundingClientRect();return{top:t,left:n,right:r,bottom:i,width:e.clientWidth,height:e.clientHeight}}function xV(e){return e.reduce((t,n)=>wf(t,X3(n)),Fs)}function sPe(e){return e.reduce((t,n)=>t+_V(n),0)}function aPe(e){return e.reduce((t,n)=>t+bV(n),0)}function CV(e,t){if(t===void 0&&(t=Zm),!e)return;const{top:n,left:r,bottom:i,right:o}=t(e);vV(e)&&(i<=0||o<=0||n>=window.innerHeight||r>=window.innerWidth)&&e.scrollIntoView({block:"center",inline:"center"})}const lPe=[["x",["left","right"],sPe],["y",["top","bottom"],aPe]];class O4{constructor(t,n){this.rect=void 0,this.width=void 0,this.height=void 0,this.top=void 0,this.bottom=void 0,this.right=void 0,this.left=void 0;const r=I4(n),i=xV(r);this.rect={...t},this.width=t.width,this.height=t.height;for(const[o,s,a]of lPe)for(const l of s)Object.defineProperty(this,l,{get:()=>{const u=a(r),c=i[o]-u;return this.rect[l]+c},enumerable:!0});Object.defineProperty(this,"rect",{enumerable:!1})}}class Ip{constructor(t){this.target=void 0,this.listeners=[],this.removeAll=()=>{this.listeners.forEach(n=>{var r;return(r=this.target)==null?void 0:r.removeEventListener(...n)})},this.target=t}add(t,n,r){var i;(i=this.target)==null||i.addEventListener(t,n,r),this.listeners.push([t,n,r])}}function uPe(e){const{EventTarget:t}=eo(e);return e instanceof t?e:xh(e)}function tx(e,t){const n=Math.abs(e.x),r=Math.abs(e.y);return typeof t=="number"?Math.sqrt(n**2+r**2)>t:"x"in t&&"y"in t?n>t.x&&r>t.y:"x"in t?n>t.x:"y"in t?r>t.y:!1}var qo;(function(e){e.Click="click",e.DragStart="dragstart",e.Keydown="keydown",e.ContextMenu="contextmenu",e.Resize="resize",e.SelectionChange="selectionchange",e.VisibilityChange="visibilitychange"})(qo||(qo={}));function wO(e){e.preventDefault()}function cPe(e){e.stopPropagation()}var En;(function(e){e.Space="Space",e.Down="ArrowDown",e.Right="ArrowRight",e.Left="ArrowLeft",e.Up="ArrowUp",e.Esc="Escape",e.Enter="Enter"})(En||(En={}));const EV={start:[En.Space,En.Enter],cancel:[En.Esc],end:[En.Space,En.Enter]},dPe=(e,t)=>{let{currentCoordinates:n}=t;switch(e.code){case En.Right:return{...n,x:n.x+25};case En.Left:return{...n,x:n.x-25};case En.Down:return{...n,y:n.y+25};case En.Up:return{...n,y:n.y-25}}};class TV{constructor(t){this.props=void 0,this.autoScrollEnabled=!1,this.referenceCoordinates=void 0,this.listeners=void 0,this.windowListeners=void 0,this.props=t;const{event:{target:n}}=t;this.props=t,this.listeners=new Ip(xh(n)),this.windowListeners=new Ip(eo(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(qo.Resize,this.handleCancel),this.windowListeners.add(qo.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(qo.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,r=t.node.current;r&&CV(r),n(Fs)}handleKeyDown(t){if(R4(t)){const{active:n,context:r,options:i}=this.props,{keyboardCodes:o=EV,coordinateGetter:s=dPe,scrollBehavior:a="smooth"}=i,{code:l}=t;if(o.end.includes(l)){this.handleEnd(t);return}if(o.cancel.includes(l)){this.handleCancel(t);return}const{collisionRect:u}=r.current,c=u?{x:u.left,y:u.top}:Fs;this.referenceCoordinates||(this.referenceCoordinates=c);const d=s(t,{active:n,context:r.current,currentCoordinates:c});if(d){const f=K1(d,c),h={x:0,y:0},{scrollableAncestors:p}=r.current;for(const m of p){const b=t.code,{isTop:_,isRight:y,isLeft:g,isBottom:v,maxScroll:S,minScroll:w}=wV(m),x=oPe(m),C={x:Math.min(b===En.Right?x.right-x.width/2:x.right,Math.max(b===En.Right?x.left:x.left+x.width/2,d.x)),y:Math.min(b===En.Down?x.bottom-x.height/2:x.bottom,Math.max(b===En.Down?x.top:x.top+x.height/2,d.y))},A=b===En.Right&&!y||b===En.Left&&!g,T=b===En.Down&&!v||b===En.Up&&!_;if(A&&C.x!==d.x){const k=m.scrollLeft+f.x,L=b===En.Right&&k<=S.x||b===En.Left&&k>=w.x;if(L&&!f.y){m.scrollTo({left:k,behavior:a});return}L?h.x=m.scrollLeft-k:h.x=b===En.Right?m.scrollLeft-S.x:m.scrollLeft-w.x,h.x&&m.scrollBy({left:-h.x,behavior:a});break}else if(T&&C.y!==d.y){const k=m.scrollTop+f.y,L=b===En.Down&&k<=S.y||b===En.Up&&k>=w.y;if(L&&!f.x){m.scrollTo({top:k,behavior:a});return}L?h.y=m.scrollTop-k:h.y=b===En.Down?m.scrollTop-S.y:m.scrollTop-w.y,h.y&&m.scrollBy({top:-h.y,behavior:a});break}}this.handleMove(t,wf(K1(d,this.referenceCoordinates),h))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}TV.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=EV,onActivation:i}=t,{active:o}=n;const{code:s}=e.nativeEvent;if(r.start.includes(s)){const a=o.activatorNode.current;return a&&e.target!==a?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function xO(e){return!!(e&&"distance"in e)}function CO(e){return!!(e&&"delay"in e)}class M4{constructor(t,n,r){var i;r===void 0&&(r=uPe(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=xh(s),this.documentListeners=new Ip(this.document),this.listeners=new Ip(r),this.windowListeners=new Ip(eo(s)),this.initialCoordinates=(i=nm(o))!=null?i:Fs,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(qo.Resize,this.handleCancel),this.windowListeners.add(qo.DragStart,wO),this.windowListeners.add(qo.VisibilityChange,this.handleCancel),this.windowListeners.add(qo.ContextMenu,wO),this.documentListeners.add(qo.Keydown,this.handleKeydown),n){if(xO(n))return;if(CO(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(qo.Click,cPe,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(qo.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=nm(t))!=null?n:Fs,u=K1(i,l);if(!r&&a){if(CO(a))return tx(u,a.tolerance)?this.handleCancel():void 0;if(xO(a))return a.tolerance!=null&&tx(u,a.tolerance)?this.handleCancel():tx(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===En.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const fPe={move:{name:"pointermove"},end:{name:"pointerup"}};class AV extends M4{constructor(t){const{event:n}=t,r=xh(n.target);super(t,fPe,r)}}AV.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const hPe={move:{name:"mousemove"},end:{name:"mouseup"}};var Q3;(function(e){e[e.RightClick=2]="RightClick"})(Q3||(Q3={}));class kV extends M4{constructor(t){super(t,hPe,xh(t.event.target))}}kV.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===Q3.RightClick?!1:(r==null||r({event:n}),!0)}}];const nx={move:{name:"touchmove"},end:{name:"touchend"}};class PV extends M4{constructor(t){super(t,nx)}static setup(){return window.addEventListener(nx.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(nx.move.name,t)};function t(){}}}PV.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var Op;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Op||(Op={}));var Q1;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(Q1||(Q1={}));function pPe(e){let{acceleration:t,activator:n=Op.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=Q1.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:c,delta:d,threshold:f}=e;const h=mPe({delta:d,disabled:!o}),[p,m]=Cke(),b=M.useRef({x:0,y:0}),_=M.useRef({x:0,y:0}),y=M.useMemo(()=>{switch(n){case Op.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case Op.DraggableRect:return i}},[n,i,l]),g=M.useRef(null),v=M.useCallback(()=>{const w=g.current;if(!w)return;const x=b.current.x*_.current.x,C=b.current.y*_.current.y;w.scrollBy(x,C)},[]),S=M.useMemo(()=>a===Q1.TreeOrder?[...u].reverse():u,[a,u]);M.useEffect(()=>{if(!o||!u.length||!y){m();return}for(const w of S){if((r==null?void 0:r(w))===!1)continue;const x=u.indexOf(w),C=c[x];if(!C)continue;const{direction:A,speed:T}=iPe(w,C,y,t,f);for(const k of["x","y"])h[k][A[k]]||(T[k]=0,A[k]=0);if(T.x>0||T.y>0){m(),g.current=w,p(v,s),b.current=T,_.current=A;return}}b.current={x:0,y:0},_.current={x:0,y:0},m()},[t,v,r,m,o,s,JSON.stringify(y),JSON.stringify(h),p,u,S,c,JSON.stringify(f)])}const gPe={x:{[ti.Backward]:!1,[ti.Forward]:!1},y:{[ti.Backward]:!1,[ti.Forward]:!1}};function mPe(e){let{delta:t,disabled:n}=e;const r=W1(t);return Ym(i=>{if(n||!r||!i)return gPe;const o={x:Math.sign(t.x-r.x),y:Math.sign(t.y-r.y)};return{x:{[ti.Backward]:i.x[ti.Backward]||o.x===-1,[ti.Forward]:i.x[ti.Forward]||o.x===1},y:{[ti.Backward]:i.y[ti.Backward]||o.y===-1,[ti.Forward]:i.y[ti.Forward]||o.y===1}}},[n,t,r])}function yPe(e,t){const n=t!==null?e.get(t):void 0,r=n?n.node.current:null;return Ym(i=>{var o;return t===null?null:(o=r??i)!=null?o:null},[r,t])}function vPe(e,t){return M.useMemo(()=>e.reduce((n,r)=>{const{sensor:i}=r,o=i.activators.map(s=>({eventName:s.eventName,handler:t(s.handler,r)}));return[...n,...o]},[]),[e,t])}var im;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(im||(im={}));var Y3;(function(e){e.Optimized="optimized"})(Y3||(Y3={}));const EO=new Map;function _Pe(e,t){let{dragging:n,dependencies:r,config:i}=t;const[o,s]=M.useState(null),{frequency:a,measure:l,strategy:u}=i,c=M.useRef(e),d=b(),f=tm(d),h=M.useCallback(function(_){_===void 0&&(_=[]),!f.current&&s(y=>y===null?_:y.concat(_.filter(g=>!y.includes(g))))},[f]),p=M.useRef(null),m=Ym(_=>{if(d&&!n)return EO;if(!_||_===EO||c.current!==e||o!=null){const y=new Map;for(let g of e){if(!g)continue;if(o&&o.length>0&&!o.includes(g.id)&&g.rect.current){y.set(g.id,g.rect.current);continue}const v=g.node.current,S=v?new O4(l(v),v):null;g.rect.current=S,S&&y.set(g.id,S)}return y}return _},[e,o,n,d,l]);return M.useEffect(()=>{c.current=e},[e]),M.useEffect(()=>{d||h()},[n,d]),M.useEffect(()=>{o&&o.length>0&&s(null)},[JSON.stringify(o)]),M.useEffect(()=>{d||typeof a!="number"||p.current!==null||(p.current=setTimeout(()=>{h(),p.current=null},a))},[a,d,h,...r]),{droppableRects:m,measureDroppableContainers:h,measuringScheduled:o!=null};function b(){switch(u){case im.Always:return!1;case im.BeforeDragging:return n;default:return!n}}}function N4(e,t){return Ym(n=>e?n||(typeof t=="function"?t(e):e):null,[t,e])}function bPe(e,t){return N4(e,t)}function SPe(e){let{callback:t,disabled:n}=e;const r=QS(t),i=M.useMemo(()=>{if(n||typeof window>"u"||typeof window.MutationObserver>"u")return;const{MutationObserver:o}=window;return new o(r)},[r,n]);return M.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function ZS(e){let{callback:t,disabled:n}=e;const r=QS(t),i=M.useMemo(()=>{if(n||typeof window>"u"||typeof window.ResizeObserver>"u")return;const{ResizeObserver:o}=window;return new o(r)},[n]);return M.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function wPe(e){return new O4(Zm(e),e)}function TO(e,t,n){t===void 0&&(t=wPe);const[r,i]=M.useReducer(a,null),o=SPe({callback(l){if(e)for(const u of l){const{type:c,target:d}=u;if(c==="childList"&&d instanceof HTMLElement&&d.contains(e)){i();break}}}}),s=ZS({callback:i});return Sa(()=>{i(),e?(s==null||s.observe(e),o==null||o.observe(document.body,{childList:!0,subtree:!0})):(s==null||s.disconnect(),o==null||o.disconnect())},[e]),r;function a(l){if(!e)return null;if(e.isConnected===!1){var u;return(u=l??n)!=null?u:null}const c=t(e);return JSON.stringify(l)===JSON.stringify(c)?l:c}}function xPe(e){const t=N4(e);return mV(e,t)}const AO=[];function CPe(e){const t=M.useRef(e),n=Ym(r=>e?r&&r!==AO&&e&&t.current&&e.parentNode===t.current.parentNode?r:I4(e):AO,[e]);return M.useEffect(()=>{t.current=e},[e]),n}function EPe(e){const[t,n]=M.useState(null),r=M.useRef(e),i=M.useCallback(o=>{const s=ex(o.target);s&&n(a=>a?(a.set(s,X3(s)),new Map(a)):null)},[]);return M.useEffect(()=>{const o=r.current;if(e!==o){s(o);const a=e.map(l=>{const u=ex(l);return u?(u.addEventListener("scroll",i,{passive:!0}),[u,X3(u)]):null}).filter(l=>l!=null);n(a.length?new Map(a):null),r.current=e}return()=>{s(e),s(o)};function s(a){a.forEach(l=>{const u=ex(l);u==null||u.removeEventListener("scroll",i)})}},[i,e]),M.useMemo(()=>e.length?t?Array.from(t.values()).reduce((o,s)=>wf(o,s),Fs):xV(e):Fs,[e,t])}function kO(e,t){t===void 0&&(t=[]);const n=M.useRef(null);return M.useEffect(()=>{n.current=null},t),M.useEffect(()=>{const r=e!==Fs;r&&!n.current&&(n.current=e),!r&&n.current&&(n.current=null)},[e]),n.current?K1(e,n.current):Fs}function TPe(e){M.useEffect(()=>{if(!XS)return;const t=e.map(n=>{let{sensor:r}=n;return r.setup==null?void 0:r.setup()});return()=>{for(const n of t)n==null||n()}},e.map(t=>{let{sensor:n}=t;return n}))}function APe(e,t){return M.useMemo(()=>e.reduce((n,r)=>{let{eventName:i,handler:o}=r;return n[i]=s=>{o(s,t)},n},{}),[e,t])}function RV(e){return M.useMemo(()=>e?ePe(e):null,[e])}const rx=[];function kPe(e,t){t===void 0&&(t=Zm);const[n]=e,r=RV(n?eo(n):null),[i,o]=M.useReducer(a,rx),s=ZS({callback:o});return e.length>0&&i===rx&&o(),Sa(()=>{e.length?e.forEach(l=>s==null?void 0:s.observe(l)):(s==null||s.disconnect(),o())},[e]),i;function a(){return e.length?e.map(l=>SV(l)?r:new O4(t(l),l)):rx}}function IV(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return Qm(t)?t:e}function PPe(e){let{measure:t}=e;const[n,r]=M.useState(null),i=M.useCallback(u=>{for(const{target:c}of u)if(Qm(c)){r(d=>{const f=t(c);return d?{...d,width:f.width,height:f.height}:f});break}},[t]),o=ZS({callback:i}),s=M.useCallback(u=>{const c=IV(u);o==null||o.disconnect(),c&&(o==null||o.observe(c)),r(c?t(c):null)},[t,o]),[a,l]=q1(s);return M.useMemo(()=>({nodeRef:a,rect:n,setRef:l}),[n,a,l])}const RPe=[{sensor:AV,options:{}},{sensor:TV,options:{}}],IPe={current:{}},J0={draggable:{measure:SO},droppable:{measure:SO,strategy:im.WhileDragging,frequency:Y3.Optimized},dragOverlay:{measure:Zm}};class Mp extends 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Ta=M.useMemo(()=>({active:N,activeNode:Q,activeNodeRect:oe,activatorEvent:B,collisions:Hr,containerNodeRect:me,dragOverlay:nt,draggableNodes:C,droppableContainers:T,droppableRects:V,over:dn,measureDroppableContainers:H,scrollableAncestors:Pn,scrollableAncestorRects:bn,measuringConfiguration:U,measuringScheduled:Y,windowRect:Sr}),[N,Q,oe,B,Hr,me,nt,C,T,V,dn,H,Pn,bn,U,Y,Sr]),bo=M.useMemo(()=>({activatorEvent:B,activators:no,active:N,activeNodeRect:oe,ariaDescribedById:{draggable:O},dispatch:_,draggableNodes:C,over:dn,measureDroppableContainers:H}),[B,no,N,oe,_,O,C,dn,H]);return vn.createElement(gV.Provider,{value:g},vn.createElement(Jm.Provider,{value:bo},vn.createElement(MV.Provider,{value:Ta},vn.createElement(JS.Provider,{value:ji},u)),vn.createElement(DPe,{disabled:(a==null?void 0:a.restoreFocus)===!1})),vn.createElement($ke,{...a,hiddenTextDescribedById:O}));function Aa(){const On=(P==null?void 0:P.autoScrollEnabled)===!1,Kt=typeof 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M.useContext(MV)}const jPe="Droppable",VPe={timeout:25};function nNe(e){let{data:t,disabled:n=!1,id:r,resizeObserverConfig:i}=e;const o=YS(jPe),{active:s,dispatch:a,over:l,measureDroppableContainers:u}=M.useContext(Jm),c=M.useRef({disabled:n}),d=M.useRef(!1),f=M.useRef(null),h=M.useRef(null),{disabled:p,updateMeasurementsFor:m,timeout:b}={...VPe,...i},_=tm(m??r),y=M.useCallback(()=>{if(!d.current){d.current=!0;return}h.current!=null&&clearTimeout(h.current),h.current=setTimeout(()=>{u(Array.isArray(_.current)?_.current:[_.current]),h.current=null},b)},[b]),g=ZS({callback:y,disabled:p||!s}),v=M.useCallback((C,A)=>{g&&(A&&(g.unobserve(A),d.current=!1),C&&g.observe(C))},[g]),[S,w]=q1(v),x=tm(t);return 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WPe={position:"fixed",touchAction:"none"},KPe=e=>R4(e)?"transform 250ms ease":void 0,XPe=M.forwardRef((e,t)=>{let{as:n,activatorEvent:r,adjustScale:i,children:o,className:s,rect:a,style:l,transform:u,transition:c=KPe}=e;if(!a)return null;const d=i?u:{...u,scaleX:1,scaleY:1},f={...WPe,width:a.width,height:a.height,top:a.top,left:a.left,transform:rm.Transform.toString(d),transformOrigin:i&&r?zke(r,a):void 0,transition:typeof c=="function"?c(r):c,...l};return vn.createElement(n,{className:s,style:f,ref:t},o)}),QPe=e=>t=>{let{active:n,dragOverlay:r}=t;const i={},{styles:o,className:s}=e;if(o!=null&&o.active)for(const[a,l]of Object.entries(o.active))l!==void 0&&(i[a]=n.node.style.getPropertyValue(a),n.node.style.setProperty(a,l));if(o!=null&&o.dragOverlay)for(const[a,l]of Object.entries(o.dragOverlay))l!==void 0&&r.node.style.setProperty(a,l);return s!=null&&s.active&&n.node.classList.add(s.active),s!=null&&s.dragOverlay&&r.node.classList.add(s.dragOverlay),function(){for(const[l,u]of 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as F,Vr as G,Zr as H,L as I,Fr as J,Hr as K,Wr as L,Dr as M,Mr as N,nn as O,G as P,Or as Q,zr as R,Rr as S,Qe as T,sn as U,cn as V,mn as W,Er as X,M as a,ct as b,an as c,ne as d,un as e,fn as f,He as g,dn as h,_r as i,W as j,Le as k,pn as l,gn as m,P as n,tn as o,rn as p,Br as q,E as r,Qr as s,en as t,ln as u,qr as v,Lr as w,Xr as x,Kr as y,Jr as z}; diff --git a/invokeai/frontend/web/dist/index.html b/invokeai/frontend/web/dist/index.html index 42b2bcdd8c..db8fa11747 100644 --- a/invokeai/frontend/web/dist/index.html +++ b/invokeai/frontend/web/dist/index.html @@ -12,7 +12,7 @@ margin: 0; } - + diff --git a/invokeai/frontend/web/dist/locales/en.json b/invokeai/frontend/web/dist/locales/en.json index 32144749bd..881e531701 100644 --- a/invokeai/frontend/web/dist/locales/en.json +++ b/invokeai/frontend/web/dist/locales/en.json @@ -1,40 +1,67 @@ { "accessibility": { - "modelSelect": "Model Select", - "invokeProgressBar": "Invoke progress bar", - "reset": "Reset", - "uploadImage": "Upload Image", - "previousImage": "Previous Image", - "nextImage": "Next Image", - "useThisParameter": "Use this parameter", "copyMetadataJson": "Copy metadata JSON", "exitViewer": "Exit Viewer", - "zoomIn": "Zoom In", - "zoomOut": "Zoom Out", - "rotateCounterClockwise": "Rotate Counter-Clockwise", - "rotateClockwise": "Rotate Clockwise", "flipHorizontally": "Flip Horizontally", "flipVertically": "Flip Vertically", + "invokeProgressBar": "Invoke progress bar", + "menu": "Menu", + "modelSelect": "Model Select", "modifyConfig": "Modify Config", - "toggleAutoscroll": "Toggle autoscroll", - "toggleLogViewer": "Toggle Log Viewer", + "nextImage": "Next Image", + "previousImage": "Previous Image", + "reset": "Reset", + "rotateClockwise": "Rotate Clockwise", + "rotateCounterClockwise": "Rotate Counter-Clockwise", "showGallery": "Show Gallery", "showOptionsPanel": "Show Side Panel", - "menu": "Menu" + "toggleAutoscroll": "Toggle autoscroll", + "toggleLogViewer": "Toggle Log Viewer", + "uploadImage": "Upload Image", + "useThisParameter": "Use this parameter", + "zoomIn": "Zoom In", + "zoomOut": "Zoom Out" + }, + "boards": { + "addBoard": "Add Board", + "autoAddBoard": "Auto-Add Board", + "bottomMessage": "Deleting this board and its images will reset any features currently using them.", + "cancel": "Cancel", + "changeBoard": "Change Board", + "clearSearch": "Clear Search", + "loading": "Loading...", + "menuItemAutoAdd": "Auto-add to this Board", + "move": "Move", + "myBoard": "My Board", + "noMatching": "No matching Boards", + "searchBoard": "Search Boards...", + "selectBoard": "Select a Board", + "topMessage": "This board contains images used in the following features:", + "uncategorized": "Uncategorized" }, "common": { + "accept": "Accept", + "advanced": "Advanced", + "areYouSure": "Are you sure?", + "back": "Back", + "batch": "Batch Manager", + "cancel": "Cancel", + "close": "Close", "communityLabel": "Community", - "hotkeysLabel": "Hotkeys", + "controlNet": "Controlnet", + "ipAdapter": "IP Adapter", "darkMode": "Dark Mode", - "lightMode": "Light Mode", - "languagePickerLabel": "Language", - "reportBugLabel": "Report Bug", - "githubLabel": "Github", "discordLabel": "Discord", - "settingsLabel": "Settings", + "dontAskMeAgain": "Don't ask me again", + "generate": "Generate", + "githubLabel": "Github", + "hotkeysLabel": "Hotkeys", + "imagePrompt": "Image Prompt", + "img2img": "Image To Image", "langArabic": "العربية", - "langEnglish": "English", + "langBrPortuguese": "Português do Brasil", "langDutch": "Nederlands", + "langEnglish": "English", "langFrench": "Français", "langGerman": "Deutsch", "langHebrew": "עברית", @@ -43,377 +70,430 @@ "langKorean": "한국어", "langPolish": "Polski", "langPortuguese": "Português", - "langBrPortuguese": "Português do Brasil", "langRussian": "Русский", "langSimplifiedChinese": "简体中文", - "langUkranian": "Украї́нська", "langSpanish": "Español", - "txt2img": "Text To Image", - "img2img": "Image To Image", - "unifiedCanvas": "Unified Canvas", + "languagePickerLabel": "Language", + "langUkranian": "Украї́нська", + "lightMode": "Light Mode", "linear": "Linear", - "nodes": "Workflow Editor", - "batch": "Batch Manager", + "load": "Load", + "loading": "Loading", + "loadingInvokeAI": "Loading Invoke AI", "modelManager": "Model Manager", - "postprocessing": "Post Processing", + "nodeEditor": "Node Editor", + "nodes": "Workflow Editor", "nodesDesc": "A node based system for the generation of images is under development currently. Stay tuned for updates about this amazing feature.", - "postProcessing": "Post Processing", + "openInNewTab": "Open in New Tab", "postProcessDesc1": "Invoke AI offers a wide variety of post processing features. Image Upscaling and Face Restoration are already available in the WebUI. You can access them from the Advanced Options menu of the Text To Image and Image To Image tabs. You can also process images directly, using the image action buttons above the current image display or in the viewer.", "postProcessDesc2": "A dedicated UI will be released soon to facilitate more advanced post processing workflows.", "postProcessDesc3": "The Invoke AI Command Line Interface offers various other features including Embiggen.", - "training": "Training", - "trainingDesc1": "A dedicated workflow for training your own embeddings and checkpoints using Textual Inversion and Dreambooth from the web interface.", - "trainingDesc2": "InvokeAI already supports training custom embeddourings using Textual Inversion using the main script.", - "upload": "Upload", - "close": "Close", - "cancel": "Cancel", - "accept": "Accept", - "load": "Load", - "back": "Back", + "postprocessing": "Post Processing", + "postProcessing": "Post Processing", + "random": "Random", + "reportBugLabel": "Report Bug", + "settingsLabel": "Settings", "statusConnected": "Connected", + "statusConvertingModel": "Converting Model", "statusDisconnected": "Disconnected", "statusError": "Error", - "statusPreparing": "Preparing", - "statusProcessingCanceled": "Processing Canceled", - "statusProcessingComplete": "Processing Complete", "statusGenerating": "Generating", - "statusGeneratingTextToImage": "Generating Text To Image", "statusGeneratingImageToImage": "Generating Image To Image", "statusGeneratingInpainting": "Generating Inpainting", "statusGeneratingOutpainting": "Generating Outpainting", + "statusGeneratingTextToImage": "Generating Text To Image", "statusGenerationComplete": "Generation Complete", "statusIterationComplete": "Iteration Complete", - "statusSavingImage": "Saving Image", + "statusLoadingModel": "Loading Model", + "statusMergedModels": "Models Merged", + "statusMergingModels": "Merging Models", + "statusModelChanged": "Model Changed", + "statusModelConverted": "Model Converted", + "statusPreparing": "Preparing", + "statusProcessingCanceled": "Processing Canceled", + "statusProcessingComplete": "Processing Complete", "statusRestoringFaces": "Restoring Faces", - "statusRestoringFacesGFPGAN": "Restoring Faces (GFPGAN)", "statusRestoringFacesCodeFormer": "Restoring Faces (CodeFormer)", + "statusRestoringFacesGFPGAN": "Restoring Faces (GFPGAN)", + "statusSavingImage": "Saving Image", "statusUpscaling": "Upscaling", "statusUpscalingESRGAN": "Upscaling (ESRGAN)", - "statusLoadingModel": "Loading Model", - "statusModelChanged": "Model Changed", - "statusConvertingModel": "Converting Model", - "statusModelConverted": "Model Converted", - "statusMergingModels": "Merging Models", - "statusMergedModels": "Models Merged", - "loading": "Loading", - "loadingInvokeAI": "Loading Invoke AI", - "random": "Random", - "generate": "Generate", - "openInNewTab": "Open in New Tab", - "dontAskMeAgain": "Don't ask me again", - "areYouSure": "Are you sure?", - "imagePrompt": "Image Prompt" + "training": "Training", + "trainingDesc1": "A dedicated workflow for training your own embeddings and checkpoints using Textual Inversion and Dreambooth from the web interface.", + "trainingDesc2": "InvokeAI already supports training custom embeddourings using Textual Inversion using the main script.", + "txt2img": "Text To Image", + "unifiedCanvas": "Unified Canvas", + "upload": "Upload" + }, + "controlnet": { + "amult": "a_mult", + "autoConfigure": "Auto configure processor", + "balanced": "Balanced", + "beginEndStepPercent": "Begin / End Step Percentage", + "bgth": "bg_th", + "canny": "Canny", + "cannyDescription": "Canny edge detection", + "coarse": "Coarse", + "contentShuffle": "Content Shuffle", + "contentShuffleDescription": "Shuffles the content in an image", + "control": "Control", + "controlMode": "Control Mode", + "crop": "Crop", + "delete": "Delete", + "depthMidas": "Depth (Midas)", + "depthMidasDescription": "Depth map generation using Midas", + "depthZoe": "Depth (Zoe)", + "depthZoeDescription": "Depth map generation using Zoe", + "detectResolution": "Detect Resolution", + "duplicate": "Duplicate", + "enableControlnet": "Enable ControlNet", + "f": "F", + "fill": "Fill", + "h": "H", + "handAndFace": "Hand and Face", + "hed": "HED", + "hedDescription": "Holistically-Nested Edge Detection", + "hideAdvanced": "Hide Advanced", + "highThreshold": "High Threshold", + "imageResolution": "Image Resolution", + "importImageFromCanvas": "Import Image From Canvas", + "importMaskFromCanvas": "Import Mask From Canvas", + "incompatibleBaseModel": "Incompatible base model:", + "lineart": "Lineart", + "lineartAnime": "Lineart Anime", + "lineartAnimeDescription": "Anime-style lineart processing", + "lineartDescription": "Converts image to lineart", + "lowThreshold": "Low Threshold", + "maxFaces": "Max Faces", + "mediapipeFace": "Mediapipe Face", + "mediapipeFaceDescription": "Face detection using Mediapipe", + "megaControl": "Mega Control", + "minConfidence": "Min Confidence", + "mlsd": "M-LSD", + "mlsdDescription": "Minimalist Line Segment Detector", + "none": "None", + "noneDescription": "No processing applied", + "normalBae": "Normal BAE", + "normalBaeDescription": "Normal BAE processing", + "openPose": "Openpose", + "openPoseDescription": "Human pose estimation using Openpose", + "pidi": "PIDI", + "pidiDescription": "PIDI image processing", + "processor": "Processor", + "prompt": "Prompt", + "resetControlImage": "Reset Control Image", + "resize": "Resize", + "resizeMode": "Resize Mode", + "safe": "Safe", + "saveControlImage": "Save Control Image", + "scribble": "scribble", + "selectModel": "Select a model", + "setControlImageDimensions": "Set Control Image Dimensions To W/H", + "showAdvanced": "Show Advanced", + "toggleControlNet": "Toggle this ControlNet", + "w": "W", + "weight": "Weight", + "enableIPAdapter": "Enable IP Adapter", + "ipAdapterModel": "Adapter Model", + "resetIPAdapterImage": "Reset IP Adapter Image", + "ipAdapterImageFallback": "No IP Adapter Image Selected" + }, + "embedding": { + "addEmbedding": "Add Embedding", + "incompatibleModel": "Incompatible base model:", + "noMatchingEmbedding": "No matching Embeddings" }, "gallery": { - "generations": "Generations", - "showGenerations": "Show Generations", - "uploads": "Uploads", - "showUploads": "Show Uploads", - "galleryImageSize": "Image Size", - "galleryImageResetSize": "Reset Size", - "gallerySettings": "Gallery Settings", - "maintainAspectRatio": "Maintain Aspect Ratio", - "autoSwitchNewImages": "Auto-Switch to New Images", - "singleColumnLayout": "Single Column Layout", "allImagesLoaded": "All Images Loaded", - "loadMore": "Load More", - "noImagesInGallery": "No Images to Display", + "assets": "Assets", + "autoAssignBoardOnClick": "Auto-Assign Board on Click", + "autoSwitchNewImages": "Auto-Switch to New Images", + "copy": "Copy", + "currentlyInUse": "This image is currently in use in the following features:", "deleteImage": "Delete Image", "deleteImageBin": "Deleted images will be sent to your operating system's Bin.", "deleteImagePermanent": "Deleted images cannot be restored.", + "download": "Download", + "featuresWillReset": "If you delete this image, those features will immediately be reset.", + "galleryImageResetSize": "Reset Size", + "galleryImageSize": "Image Size", + "gallerySettings": "Gallery Settings", + "generations": "Generations", "images": "Images", - "assets": "Assets", - "autoAssignBoardOnClick": "Auto-Assign Board on Click" + "loading": "Loading", + "loadMore": "Load More", + "maintainAspectRatio": "Maintain Aspect Ratio", + "noImagesInGallery": "No Images to Display", + "setCurrentImage": "Set as Current Image", + "showGenerations": "Show Generations", + "showUploads": "Show Uploads", + "singleColumnLayout": "Single Column Layout", + "unableToLoad": "Unable to load Gallery", + "uploads": "Uploads" }, "hotkeys": { - "keyboardShortcuts": "Keyboard Shortcuts", - "appHotkeys": "App Hotkeys", - "generalHotkeys": "General Hotkeys", - "galleryHotkeys": "Gallery Hotkeys", - "unifiedCanvasHotkeys": "Unified Canvas Hotkeys", - "nodesHotkeys": "Nodes Hotkeys", - "invoke": { - "title": "Invoke", - "desc": "Generate an image" - }, - "cancel": { - "title": "Cancel", - "desc": "Cancel image generation" - }, - "focusPrompt": { - "title": "Focus Prompt", - "desc": "Focus the prompt input area" - }, - "toggleOptions": { - "title": "Toggle Options", - "desc": "Open and close the options panel" - }, - "pinOptions": { - "title": "Pin Options", - "desc": "Pin the options panel" - }, - "toggleViewer": { - "title": "Toggle Viewer", - "desc": "Open and close Image Viewer" - }, - "toggleGallery": { - "title": "Toggle Gallery", - "desc": "Open and close the gallery drawer" - }, - "maximizeWorkSpace": { - "title": "Maximize Workspace", - "desc": "Close panels and maximize work area" - }, - "changeTabs": { - "title": "Change Tabs", - "desc": "Switch to another workspace" - }, - "consoleToggle": { - "title": "Console Toggle", - "desc": "Open and close console" - }, - 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Brush Opacity", - "desc": "Increases the opacity of the canvas brush" - }, - "moveTool": { - "title": "Move Tool", - "desc": "Allows canvas navigation" - }, - "fillBoundingBox": { - "title": "Fill Bounding Box", - "desc": "Fills the bounding box with brush color" - }, - "eraseBoundingBox": { - "title": "Erase Bounding Box", - "desc": "Erases the bounding box area" - }, - "colorPicker": { - "title": "Select Color Picker", - "desc": "Selects the canvas color picker" - }, - "toggleSnap": { - "title": "Toggle Snap", - "desc": "Toggles Snap to Grid" - }, - "quickToggleMove": { - "title": "Quick Toggle Move", - "desc": "Temporarily toggles Move mode" - }, - "toggleLayer": { - "title": "Toggle Layer", - "desc": "Toggles mask/base layer selection" - }, - "clearMask": { - "title": "Clear Mask", - "desc": "Clear the entire mask" - }, - "hideMask": { - "title": "Hide Mask", - "desc": "Hide and unhide mask" - }, - "showHideBoundingBox": { - "title": "Show/Hide Bounding Box", - "desc": "Toggle visibility of bounding box" - }, - "mergeVisible": { - "title": "Merge Visible", - "desc": "Merge all visible layers of canvas" - }, - "saveToGallery": { - "title": "Save To Gallery", - "desc": "Save current canvas to gallery" - }, - "copyToClipboard": { - "title": "Copy to Clipboard", - "desc": "Copy current canvas to clipboard" - }, - "downloadImage": { - "title": "Download Image", - "desc": "Download current canvas" - }, - "undoStroke": { - "title": "Undo Stroke", - "desc": "Undo a brush stroke" - }, - "redoStroke": { - "title": "Redo Stroke", - "desc": "Redo a brush stroke" - }, - "resetView": { - "title": "Reset View", - "desc": "Reset Canvas View" - }, - "previousStagingImage": { - "title": "Previous Staging Image", - "desc": "Previous Staging Area Image" - }, - "nextStagingImage": { - "title": "Next Staging Image", - "desc": "Next Staging Area Image" - }, "acceptStagingImage": { - "title": "Accept Staging Image", - "desc": "Accept Current Staging Area Image" + "desc": "Accept Current Staging Area Image", + "title": "Accept Staging Image" }, "addNodes": { - "title": "Add Nodes", - "desc": "Opens the add node menu" + "desc": "Opens the add node menu", + "title": "Add Nodes" + }, + "appHotkeys": "App Hotkeys", + "cancel": { + "desc": "Cancel image generation", + "title": "Cancel" + }, + "changeTabs": { + "desc": "Switch to another workspace", + "title": "Change Tabs" + }, + "clearMask": { + "desc": "Clear the entire mask", + "title": "Clear Mask" + }, + "closePanels": { + "desc": "Closes open panels", + "title": "Close Panels" + }, + "colorPicker": { + "desc": "Selects the canvas color picker", + "title": "Select Color Picker" + }, + "consoleToggle": { + "desc": "Open and close console", + "title": "Console Toggle" + }, + "copyToClipboard": { + "desc": "Copy current canvas to clipboard", + "title": "Copy to Clipboard" + }, + "decreaseBrushOpacity": { + "desc": "Decreases the opacity of the canvas brush", + "title": "Decrease Brush Opacity" + }, + "decreaseBrushSize": { + "desc": "Decreases the size of the canvas brush/eraser", + "title": "Decrease Brush Size" + }, + "decreaseGalleryThumbSize": { + "desc": "Decreases gallery thumbnails size", + "title": "Decrease Gallery Image Size" + }, + "deleteImage": { + "desc": "Delete the current image", + "title": "Delete Image" + }, + "downloadImage": { + "desc": "Download current canvas", + "title": "Download Image" + }, + "eraseBoundingBox": { + "desc": "Erases the bounding box area", + "title": "Erase Bounding Box" + }, + "fillBoundingBox": { + "desc": "Fills the bounding box with brush color", + "title": "Fill Bounding Box" + }, + "focusPrompt": { + "desc": "Focus the prompt input area", + "title": "Focus Prompt" + }, + "galleryHotkeys": "Gallery Hotkeys", + "generalHotkeys": "General Hotkeys", + "hideMask": { + "desc": "Hide and unhide mask", + "title": "Hide Mask" + }, + "increaseBrushOpacity": { + "desc": "Increases the opacity of the canvas brush", + "title": "Increase Brush Opacity" + }, + "increaseBrushSize": { + "desc": "Increases the size of the canvas brush/eraser", + "title": "Increase Brush Size" + }, + "increaseGalleryThumbSize": { + "desc": "Increases gallery thumbnails size", + "title": "Increase Gallery Image Size" + }, + "invoke": { + "desc": "Generate an image", + "title": "Invoke" + }, + "keyboardShortcuts": "Keyboard Shortcuts", + "maximizeWorkSpace": { + "desc": "Close panels and maximize work area", + "title": "Maximize Workspace" + }, + "mergeVisible": { + "desc": "Merge all visible layers of canvas", + "title": "Merge Visible" + }, + "moveTool": { + "desc": "Allows canvas navigation", + "title": "Move Tool" + }, + "nextImage": { + "desc": "Display the next image in gallery", + "title": "Next Image" + }, + "nextStagingImage": { + "desc": "Next Staging Area Image", + "title": "Next Staging Image" + }, + "nodesHotkeys": "Nodes Hotkeys", + "pinOptions": { + "desc": "Pin the options panel", + "title": "Pin Options" + }, + "previousImage": { + "desc": "Display the previous image in gallery", + "title": "Previous Image" + }, + "previousStagingImage": { + "desc": "Previous Staging Area Image", + "title": "Previous Staging Image" + }, + "quickToggleMove": { + "desc": "Temporarily toggles Move mode", + "title": "Quick Toggle Move" + }, + "redoStroke": { + "desc": "Redo a brush stroke", + "title": "Redo Stroke" + }, + "resetView": { + "desc": "Reset Canvas View", + "title": "Reset View" + }, + "restoreFaces": { + "desc": "Restore the current image", + "title": "Restore Faces" + }, + "saveToGallery": { + "desc": "Save current canvas to gallery", + "title": "Save To Gallery" + }, + "selectBrush": { + "desc": "Selects the canvas brush", + "title": "Select Brush" + }, + "selectEraser": { + "desc": "Selects the canvas eraser", + "title": "Select Eraser" + }, + "sendToImageToImage": { + "desc": "Send current image to Image to Image", + "title": "Send To Image To Image" + }, + "setParameters": { + "desc": "Use all parameters of the current image", + "title": "Set Parameters" + }, + "setPrompt": { + "desc": "Use the prompt of the current image", + "title": "Set Prompt" + }, + "setSeed": { + "desc": "Use the seed of the current image", + "title": "Set Seed" + }, + "showHideBoundingBox": { + "desc": "Toggle visibility of bounding box", + "title": "Show/Hide Bounding Box" + }, + "showInfo": { + "desc": "Show metadata info of the current image", + "title": "Show Info" + }, + "toggleGallery": { + "desc": "Open and close the gallery drawer", + "title": "Toggle Gallery" + }, + "toggleGalleryPin": { + "desc": "Pins and unpins the gallery to the UI", + "title": "Toggle Gallery Pin" + }, + "toggleLayer": { + "desc": "Toggles mask/base layer selection", + "title": "Toggle Layer" + }, + "toggleOptions": { + "desc": "Open and close the options panel", + "title": "Toggle Options" + }, + "toggleSnap": { + "desc": "Toggles Snap to Grid", + "title": "Toggle Snap" + }, + "toggleViewer": { + "desc": "Open and close Image Viewer", + "title": "Toggle Viewer" + }, + "undoStroke": { + "desc": "Undo a brush stroke", + "title": "Undo Stroke" + }, + "unifiedCanvasHotkeys": "Unified Canvas Hotkeys", + "upscale": { + "desc": "Upscale the current image", + "title": "Upscale" } }, - "modelManager": { - "modelManager": "Model Manager", + "metadata": { + "cfgScale": "CFG scale", + "createdBy": "Created By", + "fit": "Image to image fit", + "generationMode": "Generation Mode", + "height": "Height", + "hiresFix": "High Resolution Optimization", + "imageDetails": "Image Details", + "initImage": "Initial image", + "metadata": "Metadata", "model": "Model", - "vae": "VAE", - "allModels": "All Models", - "checkpointModels": "Checkpoints", - "diffusersModels": "Diffusers", - "loraModels": "LoRAs", - "safetensorModels": "SafeTensors", - "onnxModels": "Onnx", - "oliveModels": "Olives", - "modelAdded": "Model Added", - "modelUpdated": "Model Updated", - "modelUpdateFailed": "Model Update Failed", - "modelEntryDeleted": "Model Entry Deleted", - "cannotUseSpaces": "Cannot Use Spaces", + "negativePrompt": "Negative Prompt", + "noImageDetails": "No image details found", + "noMetaData": "No metadata found", + "perlin": "Perlin Noise", + "positivePrompt": "Positive Prompt", + "scheduler": "Scheduler", + "seamless": "Seamless", + "seed": "Seed", + "steps": "Steps", + "strength": "Image to image strength", + "Threshold": "Noise Threshold", + "variations": "Seed-weight pairs", + "width": "Width", + "workflow": "Workflow" + }, + "modelManager": { + "active": "active", + "addCheckpointModel": "Add Checkpoint / Safetensor Model", + "addDifference": "Add Difference", + "addDiffuserModel": "Add Diffusers", + "addManually": "Add Manually", + "addModel": "Add Model", "addNew": "Add New", "addNewModel": "Add New Model", - "addCheckpointModel": "Add Checkpoint / Safetensor Model", - "addDiffuserModel": "Add Diffusers", - "scanForModels": "Scan For Models", - "addManually": "Add Manually", - "manual": "Manual", + "addSelected": "Add Selected", + "advanced": "Advanced", + "allModels": "All Models", + "alpha": "Alpha", + "availableModels": "Available Models", "baseModel": "Base Model", - "name": "Name", - "nameValidationMsg": "Enter a name for your model", - "description": "Description", - "descriptionValidationMsg": "Add a description for your model", + "cached": "cached", + "cannotUseSpaces": "Cannot Use Spaces", + "checkpointFolder": "Checkpoint Folder", + "checkpointModels": "Checkpoints", + "clearCheckpointFolder": "Clear Checkpoint Folder", + "closeAdvanced": "Close Advanced", "config": "Config", "configValidationMsg": "Path to the config file of your model.", - "modelLocation": "Model Location", - "modelLocationValidationMsg": "Path to where your model is located locally.", - "repo_id": "Repo ID", - "repoIDValidationMsg": "Online repository of your model", - "vaeLocation": "VAE Location", - "vaeLocationValidationMsg": "Path to where your VAE is located.", - "variant": "Variant", - "vaeRepoID": "VAE Repo ID", - "vaeRepoIDValidationMsg": "Online repository of your VAE", - "width": "Width", - "widthValidationMsg": "Default width of your model.", - "height": "Height", - "heightValidationMsg": "Default height of your model.", - "addModel": "Add Model", - "updateModel": "Update Model", - "availableModels": "Available Models", - "search": "Search", - "load": "Load", - "active": "active", - "notLoaded": "not loaded", - "cached": "cached", - "checkpointFolder": "Checkpoint Folder", - "clearCheckpointFolder": "Clear Checkpoint Folder", - "findModels": "Find Models", - "scanAgain": "Scan Again", - "modelsFound": "Models Found", - "selectFolder": "Select Folder", - "selected": "Selected", - "selectAll": "Select All", - "deselectAll": "Deselect All", - "showExisting": "Show Existing", - "addSelected": "Add Selected", - "modelExists": "Model Exists", - "selectAndAdd": "Select and Add Models Listed Below", - "noModelsFound": "No Models Found", - "delete": "Delete", - "deleteModel": "Delete Model", - "deleteConfig": "Delete Config", - "deleteMsg1": "Are you sure you want to delete this model from InvokeAI?", - "modelDeleted": "Model Deleted", - "modelDeleteFailed": "Failed to delete model", - "deleteMsg2": "This WILL delete the model from disk if it is in the InvokeAI root folder. If you are using a custom location, then the model WILL NOT be deleted from disk.", - "formMessageDiffusersModelLocation": "Diffusers Model Location", - "formMessageDiffusersModelLocationDesc": "Please enter at least one.", - "formMessageDiffusersVAELocation": "VAE Location", - "formMessageDiffusersVAELocationDesc": "If not provided, InvokeAI will look for the VAE file inside the model location given above.", "convert": "Convert", + "convertingModelBegin": "Converting Model. Please wait.", "convertToDiffusers": "Convert To Diffusers", "convertToDiffusersHelpText1": "This model will be converted to the 🧨 Diffusers format.", "convertToDiffusersHelpText2": "This process will replace your Model Manager entry with the Diffusers version of the same model.", @@ -422,316 +502,634 @@ "convertToDiffusersHelpText5": "Please make sure you have enough disk space. Models generally vary between 2GB-7GB in size.", "convertToDiffusersHelpText6": "Do you wish to convert this model?", "convertToDiffusersSaveLocation": "Save Location", - "noCustomLocationProvided": "No Custom Location Provided", - "convertingModelBegin": "Converting Model. Please wait.", - "v1": "v1", - "v2_base": "v2 (512px)", - "v2_768": "v2 (768px)", - "inpainting": "v1 Inpainting", - "customConfig": "Custom Config", - "pathToCustomConfig": "Path To Custom Config", - "statusConverting": "Converting", - "modelConverted": "Model Converted", - "modelConversionFailed": "Model Conversion Failed", - "sameFolder": "Same folder", - "invokeRoot": "InvokeAI folder", "custom": "Custom", + "customConfig": "Custom Config", + "customConfigFileLocation": "Custom Config File Location", "customSaveLocation": "Custom Save Location", - "merge": "Merge", - "modelsMerged": "Models Merged", - "modelsMergeFailed": "Model Merge Failed", - "mergeModels": "Merge Models", - "modelOne": "Model 1", - "modelTwo": "Model 2", - "modelThree": "Model 3", - "mergedModelName": "Merged Model Name", - "alpha": "Alpha", - "interpolationType": "Interpolation Type", - "mergedModelSaveLocation": "Save Location", - "mergedModelCustomSaveLocation": "Custom Path", - "invokeAIFolder": "Invoke AI Folder", + "delete": "Delete", + "deleteConfig": "Delete Config", + "deleteModel": "Delete Model", + "deleteMsg1": "Are you sure you want to delete this model from InvokeAI?", + "deleteMsg2": "This WILL delete the model from disk if it is in the InvokeAI root folder. If you are using a custom location, then the model WILL NOT be deleted from disk.", + "description": "Description", + "descriptionValidationMsg": "Add a description for your model", + "deselectAll": "Deselect All", + "diffusersModels": "Diffusers", + "findModels": "Find Models", + "formMessageDiffusersModelLocation": "Diffusers Model Location", + "formMessageDiffusersModelLocationDesc": "Please enter at least one.", + "formMessageDiffusersVAELocation": "VAE Location", + "formMessageDiffusersVAELocationDesc": "If not provided, InvokeAI will look for the VAE file inside the model location given above.", + "height": "Height", + "heightValidationMsg": "Default height of your model.", "ignoreMismatch": "Ignore Mismatches Between Selected Models", + "importModels": "Import Models", + "inpainting": "v1 Inpainting", + "interpolationType": "Interpolation Type", + "inverseSigmoid": "Inverse Sigmoid", + "invokeAIFolder": "Invoke AI Folder", + "invokeRoot": "InvokeAI folder", + "load": "Load", + "loraModels": "LoRAs", + "manual": "Manual", + "merge": "Merge", + "mergedModelCustomSaveLocation": "Custom Path", + "mergedModelName": "Merged Model Name", + "mergedModelSaveLocation": "Save Location", + "mergeModels": "Merge Models", + "model": "Model", + "modelAdded": "Model Added", + "modelConversionFailed": "Model Conversion Failed", + "modelConverted": "Model Converted", + "modelDeleted": "Model Deleted", + "modelDeleteFailed": "Failed to delete model", + "modelEntryDeleted": "Model Entry Deleted", + "modelExists": "Model Exists", + "modelLocation": "Model Location", + "modelLocationValidationMsg": "Provide the path to a local folder where your Diffusers Model is stored", + "modelManager": "Model Manager", + "modelMergeAlphaHelp": "Alpha controls blend strength for the models. Lower alpha values lead to lower influence of the second model.", "modelMergeHeaderHelp1": "You can merge up to three different models to create a blend that suits your needs.", "modelMergeHeaderHelp2": "Only Diffusers are available for merging. If you want to merge a checkpoint model, please convert it to Diffusers first.", - "modelMergeAlphaHelp": "Alpha controls blend strength for the models. Lower alpha values lead to lower influence of the second model.", "modelMergeInterpAddDifferenceHelp": "In this mode, Model 3 is first subtracted from Model 2. The resulting version is blended with Model 1 with the alpha rate set above.", - "inverseSigmoid": "Inverse Sigmoid", - "sigmoid": "Sigmoid", - "weightedSum": "Weighted Sum", + "modelOne": "Model 1", + "modelsFound": "Models Found", + "modelsMerged": "Models Merged", + "modelsMergeFailed": "Model Merge Failed", + "modelsSynced": "Models Synced", + "modelSyncFailed": "Model Sync Failed", + "modelThree": "Model 3", + "modelTwo": "Model 2", + "modelType": "Model Type", + "modelUpdated": "Model Updated", + "modelUpdateFailed": "Model Update Failed", + "name": "Name", + "nameValidationMsg": "Enter a name for your model", + "noCustomLocationProvided": "No Custom Location Provided", + "noModels": "No Models Found", + "noModelsFound": "No Models Found", "none": "none", - "addDifference": "Add Difference", + "notLoaded": "not loaded", + "oliveModels": "Olives", + "onnxModels": "Onnx", + "pathToCustomConfig": "Path To Custom Config", "pickModelType": "Pick Model Type", + "predictionType": "Prediction Type (for Stable Diffusion 2.x Models only)", + "quickAdd": "Quick Add", + "repo_id": "Repo ID", + "repoIDValidationMsg": "Online repository of your model", + "safetensorModels": "SafeTensors", + "sameFolder": "Same folder", + "scanAgain": "Scan Again", + "scanForModels": "Scan For Models", + "search": "Search", + "selectAll": "Select All", + "selectAndAdd": "Select and Add Models Listed Below", + "selected": "Selected", + "selectFolder": "Select Folder", "selectModel": "Select Model", - "importModels": "Import Models", "settings": "Settings", + "showExisting": "Show Existing", + "sigmoid": "Sigmoid", + "simpleModelDesc": "Provide a path to a local Diffusers model, local checkpoint / safetensors model a HuggingFace Repo ID, or a checkpoint/diffusers model URL.", + "statusConverting": "Converting", "syncModels": "Sync Models", "syncModelsDesc": "If your models are out of sync with the backend, you can refresh them up using this option. This is generally handy in cases where you manually update your models.yaml file or add models to the InvokeAI root folder after the application has booted.", - "modelsSynced": "Models Synced", - "modelSyncFailed": "Model Sync Failed" + "updateModel": "Update Model", + "useCustomConfig": "Use Custom Config", + "v1": "v1", + "v2_768": "v2 (768px)", + "v2_base": "v2 (512px)", + "vae": "VAE", + "vaeLocation": "VAE Location", + "vaeLocationValidationMsg": "Path to where your VAE is located.", + "vaeRepoID": "VAE Repo ID", + "vaeRepoIDValidationMsg": "Online repository of your VAE", + "variant": "Variant", + "weightedSum": "Weighted Sum", + "width": "Width", + "widthValidationMsg": "Default width of your model." + }, + "models": { + "loading": "loading", + "noLoRAsAvailable": "No LoRAs available", + "noMatchingLoRAs": "No matching LoRAs", + "noMatchingModels": "No matching Models", + "noModelsAvailable": "No Modelss available", + "selectLoRA": "Select a LoRA", + "selectModel": "Select a Model" + }, + "nodes": { + "addNode": "Add Node", + "addNodeToolTip": "Add Node (Shift+A, Space)", + "animatedEdges": "Animated Edges", + "animatedEdgesHelp": "Animate selected edges and edges connected to selected nodes", + "boolean": "Booleans", + "booleanCollection": "Boolean Collection", + "booleanCollectionDescription": "A collection of booleans.", + "booleanDescription": "Booleans are true or false.", + "booleanPolymorphic": "Boolean Polymorphic", + "booleanPolymorphicDescription": "A collection of booleans.", + "cannotConnectInputToInput": "Cannot connect input to input", + "cannotConnectOutputToOutput": "Cannot connect output to output", + "cannotConnectToSelf": "Cannot connect to self", + "clipField": "Clip", + "clipFieldDescription": "Tokenizer and text_encoder submodels.", + "collection": "Collection", + "collectionDescription": "TODO", + "collectionItem": "Collection Item", + "collectionItemDescription": "TODO", + "colorCodeEdges": "Color-Code Edges", + "colorCodeEdgesHelp": "Color-code edges according to their connected fields", + "colorCollectionDescription": "A collection of colors.", + "colorField": "Color", + "colorFieldDescription": "A RGBA color.", + "colorPolymorphic": "Color Polymorphic", + "colorPolymorphicDescription": "A collection of colors.", + "conditioningCollection": "Conditioning Collection", + "conditioningCollectionDescription": "Conditioning may be passed between nodes.", + "conditioningField": "Conditioning", + "conditioningFieldDescription": "Conditioning may be passed between nodes.", + "conditioningPolymorphic": "Conditioning Polymorphic", + "conditioningPolymorphicDescription": "Conditioning may be passed between nodes.", + "connectionWouldCreateCycle": "Connection would create a cycle", + "controlCollection": "Control Collection", + "controlCollectionDescription": "Control info passed between nodes.", + "controlField": "Control", + "controlFieldDescription": "Control info passed between nodes.", + "currentImage": "Current Image", + "currentImageDescription": "Displays the current image in the Node Editor", + "denoiseMaskField": "Denoise Mask", + "denoiseMaskFieldDescription": "Denoise Mask may be passed between nodes", + "doesNotExist": "does not exist", + "downloadWorkflow": "Download Workflow JSON", + "edge": "Edge", + "enum": "Enum", + "enumDescription": "Enums are values that may be one of a number of options.", + "executionStateCompleted": "Completed", + "executionStateError": "Error", + "executionStateInProgress": "In Progress", + "fieldTypesMustMatch": "Field types must match", + "fitViewportNodes": "Fit View", + "float": "Float", + "floatCollection": "Float Collection", + "floatCollectionDescription": "A collection of floats.", + "floatDescription": "Floats are numbers with a decimal point.", + "floatPolymorphic": "Float Polymorphic", + "floatPolymorphicDescription": "A collection of floats.", + "fullyContainNodes": "Fully Contain Nodes to Select", + "fullyContainNodesHelp": "Nodes must be fully inside the selection box to be selected", + "hideGraphNodes": "Hide Graph Overlay", + "hideLegendNodes": "Hide Field Type Legend", + "hideMinimapnodes": "Hide MiniMap", + "imageCollection": "Image Collection", + "imageCollectionDescription": "A collection of images.", + "imageField": "Image", + "imageFieldDescription": "Images may be passed between nodes.", + "imagePolymorphic": "Image Polymorphic", + "imagePolymorphicDescription": "A collection of images.", + "inputFields": "Input Feilds", + "inputMayOnlyHaveOneConnection": "Input may only have one connection", + "inputNode": "Input Node", + "integer": "Integer", + "integerCollection": "Integer Collection", + "integerCollectionDescription": "A collection of integers.", + "integerDescription": "Integers are whole numbers, without a decimal point.", + "integerPolymorphic": "Integer Polymorphic", + "integerPolymorphicDescription": "A collection of integers.", + "invalidOutputSchema": "Invalid output schema", + "latentsCollection": "Latents Collection", + "latentsCollectionDescription": "Latents may be passed between nodes.", + "latentsField": "Latents", + "latentsFieldDescription": "Latents may be passed between nodes.", + "latentsPolymorphic": "Latents Polymorphic", + "latentsPolymorphicDescription": "Latents may be passed between nodes.", + "loadingNodes": "Loading Nodes...", + "loadWorkflow": "Load Workflow", + "loRAModelField": "LoRA", + "loRAModelFieldDescription": "TODO", + "mainModelField": "Model", + "mainModelFieldDescription": "TODO", + "maybeIncompatible": "May be Incompatible With Installed", + "mismatchedVersion": "Has Mismatched Version", + "missingCanvaInitImage": "Missing canvas init image", + "missingCanvaInitMaskImages": "Missing canvas init and mask images", + "missingTemplate": "Missing Template", + "noConnectionData": "No connection data", + "noConnectionInProgress": "No connection in progress", + "node": "Node", + "nodeOutputs": "Node Outputs", + "nodeSearch": "Search for nodes", + "nodeTemplate": "Node Template", + "nodeType": "Node Type", + "noFieldsLinearview": "No fields added to Linear View", + "noFieldType": "No field type", + "noImageFoundState": "No initial image found in state", + "noMatchingNodes": "No matching nodes", + "noNodeSelected": "No node selected", + "noOpacity": "Node Opacity", + "noOutputRecorded": "No outputs recorded", + "noOutputSchemaName": "No output schema name found in ref object", + "notes": "Notes", + "notesDescription": "Add notes about your workflow", + "oNNXModelField": "ONNX Model", + "oNNXModelFieldDescription": "ONNX model field.", + "outputFields": "Output Feilds", + "outputNode": "Output node", + "outputSchemaNotFound": "Output schema not found", + "pickOne": "Pick One", + "problemReadingMetadata": "Problem reading metadata from image", + "problemReadingWorkflow": "Problem reading workflow from image", + "problemSettingTitle": "Problem Setting Title", + "reloadNodeTemplates": "Reload Node Templates", + "removeLinearView": "Remove from Linear View", + "resetWorkflow": "Reset Workflow", + "resetWorkflowDesc": "Are you sure you want to reset this workflow?", + "resetWorkflowDesc2": "Resetting the workflow will clear all nodes, edges and workflow details.", + "scheduler": "Scheduler", + "schedulerDescription": "TODO", + "sDXLMainModelField": "SDXL Model", + "sDXLMainModelFieldDescription": "SDXL model field.", + "sDXLRefinerModelField": "Refiner Model", + "sDXLRefinerModelFieldDescription": "TODO", + "showGraphNodes": "Show Graph Overlay", + "showLegendNodes": "Show Field Type Legend", + "showMinimapnodes": "Show MiniMap", + "skipped": "Skipped", + "skippedReservedInput": "Skipped reserved input field", + "skippedReservedOutput": "Skipped reserved output field", + "skippingInputNoTemplate": "Skipping input field with no template", + "skippingReservedFieldType": "Skipping reserved field type", + "skippingUnknownInputType": "Skipping unknown input field type", + "skippingUnknownOutputType": "Skipping unknown output field type", + "snapToGrid": "Snap to Grid", + "snapToGridHelp": "Snap nodes to grid when moved", + "sourceNode": "Source node", + "string": "String", + "stringCollection": "String Collection", + "stringCollectionDescription": "A collection of strings.", + "stringDescription": "Strings are text.", + "stringPolymorphic": "String Polymorphic", + "stringPolymorphicDescription": "A collection of strings.", + "unableToLoadWorkflow": "Unable to Validate Workflow", + "unableToParseEdge": "Unable to parse edge", + "unableToParseNode": "Unable to parse node", + "unableToValidateWorkflow": "Unable to Validate Workflow", + "uNetField": "UNet", + "uNetFieldDescription": "UNet submodel.", + "unhandledInputProperty": "Unhandled input property", + "unhandledOutputProperty": "Unhandled output property", + "unknownField": "Unknown Field", + "unknownNode": "Unknown Node", + "unknownTemplate": "Unknown Template", + "unkownInvocation": "Unknown Invocation type", + "updateApp": "Update App", + "vaeField": "Vae", + "vaeFieldDescription": "Vae submodel.", + "vaeModelField": "VAE", + "vaeModelFieldDescription": "TODO", + "validateConnections": "Validate Connections and Graph", + "validateConnectionsHelp": "Prevent invalid connections from being made, and invalid graphs from being invoked", + "version": "Version", + "versionUnknown": " Version Unknown", + "workflow": "Workflow", + "workflowAuthor": "Author", + "workflowContact": "Contact", + "workflowDescription": "Short Description", + "workflowName": "Name", + "workflowNotes": "Notes", + "workflowSettings": "Workflow Editor Settings", + "workflowTags": "Tags", + "workflowValidation": "Workflow Validation Error", + "workflowVersion": "Version", + "zoomInNodes": "Zoom In", + "zoomOutNodes": "Zoom Out" }, "parameters": { - "general": "General", - "images": "Images", - "steps": "Steps", - "cfgScale": "CFG Scale", - "width": "Width", - "height": "Height", - "scheduler": "Scheduler", - "seed": "Seed", - "boundingBoxWidth": "Bounding Box Width", + "aspectRatio": "Ratio", + "boundingBoxHeader": "Bounding Box", "boundingBoxHeight": "Bounding Box Height", - "imageToImage": "Image to Image", - "randomizeSeed": "Randomize Seed", - "shuffle": "Shuffle Seed", - "noiseThreshold": "Noise Threshold", - "perlinNoise": "Perlin Noise", - "noiseSettings": "Noise", - "variations": "Variations", - "variationAmount": "Variation Amount", - "seedWeights": "Seed Weights", - "faceRestoration": "Face Restoration", - "restoreFaces": "Restore Faces", - "type": "Type", - "strength": "Strength", - "upscaling": "Upscaling", - "upscale": "Upscale", - "upscaleImage": "Upscale Image", - "denoisingStrength": "Denoising Strength", - "scale": "Scale", - "otherOptions": "Other Options", - "seamlessTiling": "Seamless Tiling", - "seamlessXAxis": "X Axis", - "seamlessYAxis": "Y Axis", - "hiresOptim": "High Res Optimization", - "hiresStrength": "High Res Strength", - "imageFit": "Fit Initial Image To Output Size", + "boundingBoxWidth": "Bounding Box Width", + "cancel": { + "cancel": "Cancel", + "immediate": "Cancel immediately", + "isScheduled": "Canceling", + "schedule": "Cancel after current iteration", + "setType": "Set cancel type" + }, + "cfgScale": "CFG Scale", + "clipSkip": "CLIP Skip", + "closeViewer": "Close Viewer", "codeformerFidelity": "Fidelity", - "compositingSettingsHeader": "Compositing Settings", - "maskAdjustmentsHeader": "Mask Adjustments", - "maskBlur": "Blur", - "maskBlurMethod": "Blur Method", + "coherenceMode": "Mode", "coherencePassHeader": "Coherence Pass", "coherenceSteps": "Steps", "coherenceStrength": "Strength", - "seamLowThreshold": "Low", - "seamHighThreshold": "High", - "scaleBeforeProcessing": "Scale Before Processing", - "scaledWidth": "Scaled W", - "scaledHeight": "Scaled H", - "infillMethod": "Infill Method", - "tileSize": "Tile Size", - "boundingBoxHeader": "Bounding Box", - "seamCorrectionHeader": "Seam Correction", - "infillScalingHeader": "Infill and Scaling", - "img2imgStrength": "Image To Image Strength", - "toggleLoopback": "Toggle Loopback", - "symmetry": "Symmetry", + "compositingSettingsHeader": "Compositing Settings", + "controlNetControlMode": "Control Mode", + "copyImage": "Copy Image", + "copyImageToLink": "Copy Image To Link", + "denoisingStrength": "Denoising Strength", + "downloadImage": "Download Image", + "enableNoiseSettings": "Enable Noise Settings", + "faceRestoration": "Face Restoration", + "general": "General", + "height": "Height", + "hidePreview": "Hide Preview", + "hiresOptim": "High Res Optimization", + "hiresStrength": "High Res Strength", "hSymmetryStep": "H Symmetry Step", - "vSymmetryStep": "V Symmetry Step", - "invoke": "Invoke", - "cancel": { - "immediate": "Cancel immediately", - "schedule": "Cancel after current iteration", - "isScheduled": "Canceling", - "setType": "Set cancel type" + "imageFit": "Fit Initial Image To Output Size", + "images": "Images", + "imageToImage": "Image to Image", + "img2imgStrength": "Image To Image Strength", + "infillMethod": "Infill Method", + "infillScalingHeader": "Infill and Scaling", + "info": "Info", + "initialImage": "Initial Image", + "invoke": { + "addingImagesTo": "Adding images to", + "invoke": "Invoke", + "missingFieldTemplate": "Missing field template", + "missingInputForField": "{{nodeLabel}} -> {{fieldLabel}} missing input", + "missingNodeTemplate": "Missing node template", + "noControlImageForControlNet": "ControlNet {{index}} has no control image", + "noInitialImageSelected": "No initial image selected", + "noModelForControlNet": "ControlNet {{index}} has no model selected.", + "noModelSelected": "No model selected", + "noNodesInGraph": "No nodes in graph", + "readyToInvoke": "Ready to Invoke", + "systemBusy": "System busy", + "systemDisconnected": "System disconnected", + "unableToInvoke": "Unable to Invoke" }, - "positivePromptPlaceholder": "Positive Prompt", + "maskAdjustmentsHeader": "Mask Adjustments", + "maskBlur": "Blur", + "maskBlurMethod": "Blur Method", "negativePromptPlaceholder": "Negative Prompt", + "noiseSettings": "Noise", + "noiseThreshold": "Noise Threshold", + "openInViewer": "Open In Viewer", + "otherOptions": "Other Options", + "patchmatchDownScaleSize": "Downscale", + "perlinNoise": "Perlin Noise", + "positivePromptPlaceholder": "Positive Prompt", + "randomizeSeed": "Randomize Seed", + "restoreFaces": "Restore Faces", + "scale": "Scale", + "scaleBeforeProcessing": "Scale Before Processing", + "scaledHeight": "Scaled H", + "scaledWidth": "Scaled W", + "scheduler": "Scheduler", + "seamCorrectionHeader": "Seam Correction", + "seamHighThreshold": "High", + "seamlessTiling": "Seamless Tiling", + "seamlessXAxis": "X Axis", + "seamlessYAxis": "Y Axis", + "seamLowThreshold": "Low", + "seed": "Seed", + "seedWeights": "Seed Weights", "sendTo": "Send to", "sendToImg2Img": "Send to Image to Image", "sendToUnifiedCanvas": "Send To Unified Canvas", - "copyImage": "Copy Image", - "copyImageToLink": "Copy Image To Link", - "downloadImage": "Download Image", - "openInViewer": "Open In Viewer", - "closeViewer": "Close Viewer", + "showOptionsPanel": "Show Options Panel", + "showPreview": "Show Preview", + "shuffle": "Shuffle Seed", + "steps": "Steps", + "strength": "Strength", + "symmetry": "Symmetry", + "tileSize": "Tile Size", + "toggleLoopback": "Toggle Loopback", + "type": "Type", + "upscale": "Upscale", + "upscaleImage": "Upscale Image", + "upscaling": "Upscaling", + "useAll": "Use All", + "useCpuNoise": "Use CPU Noise", + "useInitImg": "Use Initial Image", "usePrompt": "Use Prompt", "useSeed": "Use Seed", - "useAll": "Use All", - "useInitImg": "Use Initial Image", - "info": "Info", - "initialImage": "Initial Image", - "showOptionsPanel": "Show Options Panel", - "hidePreview": "Hide Preview", - "showPreview": "Show Preview", - "controlNetControlMode": "Control Mode", - "clipSkip": "CLIP Skip", - "aspectRatio": "Ratio" + "variationAmount": "Variation Amount", + "variations": "Variations", + "vSymmetryStep": "V Symmetry Step", + "width": "Width" + }, + "prompt": { + "combinatorial": "Combinatorial Generation", + "dynamicPrompts": "Dynamic Prompts", + "enableDynamicPrompts": "Enable Dynamic Prompts", + "maxPrompts": "Max Prompts" + }, + "sdxl": { + "cfgScale": "CFG Scale", + "concatPromptStyle": "Concatenate Prompt & Style", + "denoisingStrength": "Denoising Strength", + "loading": "Loading...", + "negAestheticScore": "Negative Aesthetic Score", + "negStylePrompt": "Negative Style Prompt", + "noModelsAvailable": "No models available", + "posAestheticScore": "Positive Aesthetic Score", + "posStylePrompt": "Positive Style Prompt", + "refiner": "Refiner", + "refinermodel": "Refiner Model", + "refinerStart": "Refiner Start", + "scheduler": "Scheduler", + "selectAModel": "Select a model", + "steps": "Steps", + "useRefiner": "Use Refiner" }, "settings": { - "models": "Models", - "displayInProgress": "Display Progress Images", - "saveSteps": "Save images every n steps", - "confirmOnDelete": "Confirm On Delete", - "displayHelpIcons": "Display Help Icons", "alternateCanvasLayout": "Alternate Canvas Layout", - "enableNodesEditor": "Enable Nodes Editor", - "enableImageDebugging": "Enable Image Debugging", - "useSlidersForAll": "Use Sliders For All Options", - "showProgressInViewer": "Show Progress Images in Viewer", "antialiasProgressImages": "Antialias Progress Images", "autoChangeDimensions": "Update W/H To Model Defaults On Change", + "beta": "Beta", + "confirmOnDelete": "Confirm On Delete", + "consoleLogLevel": "Log Level", + "developer": "Developer", + "displayHelpIcons": "Display Help Icons", + "displayInProgress": "Display Progress Images", + "enableImageDebugging": "Enable Image Debugging", + "enableNodesEditor": "Enable Nodes Editor", + "experimental": "Experimental", + "favoriteSchedulers": "Favorite Schedulers", + "favoriteSchedulersPlaceholder": "No schedulers favorited", + "general": "General", + "generation": "Generation", + "models": "Models", + "resetComplete": "Web UI has been reset.", "resetWebUI": "Reset Web UI", "resetWebUIDesc1": "Resetting the web UI only resets the browser's local cache of your images and remembered settings. It does not delete any images from disk.", "resetWebUIDesc2": "If images aren't showing up in the gallery or something else isn't working, please try resetting before submitting an issue on GitHub.", - "resetComplete": "Web UI has been reset.", - "consoleLogLevel": "Log Level", + "saveSteps": "Save images every n steps", "shouldLogToConsole": "Console Logging", - "developer": "Developer", - "general": "General", - "generation": "Generation", - "ui": "User Interface", - "favoriteSchedulers": "Favorite Schedulers", - "favoriteSchedulersPlaceholder": "No schedulers favorited", "showAdvancedOptions": "Show Advanced Options", - "experimental": "Experimental", - "beta": "Beta" + "showProgressInViewer": "Show Progress Images in Viewer", + "ui": "User Interface", + "useSlidersForAll": "Use Sliders For All Options" }, "toast": { - "serverError": "Server Error", - "disconnected": "Disconnected from Server", - "connected": "Connected to Server", + "addedToBoard": "Added to board", + "baseModelChangedCleared": "Base model changed, cleared", "canceled": "Processing Canceled", - "tempFoldersEmptied": "Temp Folder Emptied", - "uploadFailed": "Upload failed", - "uploadFailedUnableToLoadDesc": "Unable to load file", - "uploadFailedInvalidUploadDesc": "Must be single PNG or JPEG image", + "canvasCopiedClipboard": "Canvas Copied to Clipboard", + "canvasDownloaded": "Canvas Downloaded", + "canvasMerged": "Canvas Merged", + "canvasSavedGallery": "Canvas Saved to Gallery", + "canvasSentControlnetAssets": "Canvas Sent to ControlNet & Assets", + "connected": "Connected to Server", + "disconnected": "Disconnected from Server", "downloadImageStarted": "Image Download Started", + "faceRestoreFailed": "Face Restoration Failed", "imageCopied": "Image Copied", - "problemCopyingImage": "Unable to Copy Image", "imageLinkCopied": "Image Link Copied", - "problemCopyingImageLink": "Unable to Copy Image Link", "imageNotLoaded": "No Image Loaded", "imageNotLoadedDesc": "Could not find image", + "imageSaved": "Image Saved", "imageSavedToGallery": "Image Saved to Gallery", - "canvasMerged": "Canvas Merged", - "sentToImageToImage": "Sent To Image To Image", - "sentToUnifiedCanvas": "Sent to Unified Canvas", - "parameterSet": "Parameter set", - "parameterNotSet": "Parameter not set", - "parametersSet": "Parameters Set", - "parametersNotSet": "Parameters Not Set", - "parametersNotSetDesc": "No metadata found for this image.", - "parametersFailed": "Problem loading parameters", - "parametersFailedDesc": "Unable to load init image.", - "seedSet": "Seed Set", - "seedNotSet": "Seed Not Set", - "seedNotSetDesc": "Could not find seed for this image.", - "promptSet": "Prompt Set", - "promptNotSet": "Prompt Not Set", - "promptNotSetDesc": "Could not find prompt for this image.", - "upscalingFailed": "Upscaling Failed", - "faceRestoreFailed": "Face Restoration Failed", - "metadataLoadFailed": "Failed to load metadata", - "initialImageSet": "Initial Image Set", + "imageSavingFailed": "Image Saving Failed", + "imageUploaded": "Image Uploaded", + "imageUploadFailed": "Image Upload Failed", + "incompatibleSubmodel": "incompatible submodel", "initialImageNotSet": "Initial Image Not Set", "initialImageNotSetDesc": "Could not load initial image", - "nodesSaved": "Nodes Saved", + "initialImageSet": "Initial Image Set", + "loadedWithWarnings": "Workflow Loaded with Warnings", + "maskSavedAssets": "Mask Saved to Assets", + "maskSentControlnetAssets": "Mask Sent to ControlNet & Assets", + "metadataLoadFailed": "Failed to load metadata", + "modelAdded": "Model Added: {{modelName}}", + "modelAddedSimple": "Model Added", + "modelAddFailed": "Model Add Failed", + "nodesBrokenConnections": "Cannot load. Some connections are broken.", + "nodesCleared": "Nodes Cleared", + "nodesCorruptedGraph": "Cannot load. Graph seems to be corrupted.", "nodesLoaded": "Nodes Loaded", + "nodesLoadedFailed": "Failed To Load Nodes", "nodesNotValidGraph": "Not a valid InvokeAI Node Graph", "nodesNotValidJSON": "Not a valid JSON", - "nodesCorruptedGraph": "Cannot load. Graph seems to be corrupted.", + "nodesSaved": "Nodes Saved", "nodesUnrecognizedTypes": "Cannot load. Graph has unrecognized types", - "nodesBrokenConnections": "Cannot load. Some connections are broken.", - "nodesLoadedFailed": "Failed To Load Nodes", - "nodesCleared": "Nodes Cleared" + "parameterNotSet": "Parameter not set", + "parameterSet": "Parameter set", + "parametersFailed": "Problem loading parameters", + "parametersFailedDesc": "Unable to load init image.", + "parametersNotSet": "Parameters Not Set", + "parametersNotSetDesc": "No metadata found for this image.", + "parametersSet": "Parameters Set", + "problemCopyingCanvas": "Problem Copying Canvas", + "problemCopyingCanvasDesc": "Unable to export base layer", + "problemCopyingImage": "Unable to Copy Image", + "problemCopyingImageLink": "Unable to Copy Image Link", + "problemDownloadingCanvas": "Problem Downloading Canvas", + "problemDownloadingCanvasDesc": "Unable to export base layer", + "problemImportingMask": "Problem Importing Mask", + "problemImportingMaskDesc": "Unable to export mask", + "problemMergingCanvas": "Problem Merging Canvas", + "problemMergingCanvasDesc": "Unable to export base layer", + "problemSavingCanvas": "Problem Saving Canvas", + "problemSavingCanvasDesc": "Unable to export base layer", + "problemSavingMask": "Problem Saving Mask", + "problemSavingMaskDesc": "Unable to export mask", + "promptNotSet": "Prompt Not Set", + "promptNotSetDesc": "Could not find prompt for this image.", + "promptSet": "Prompt Set", + "seedNotSet": "Seed Not Set", + "seedNotSetDesc": "Could not find seed for this image.", + "seedSet": "Seed Set", + "sentToImageToImage": "Sent To Image To Image", + "sentToUnifiedCanvas": "Sent to Unified Canvas", + "serverError": "Server Error", + "setCanvasInitialImage": "Set as canvas initial image", + "setControlImage": "Set as control image", + "setIPAdapterImage": "Set as IP Adapter Image", + "setInitialImage": "Set as initial image", + "setNodeField": "Set as node field", + "tempFoldersEmptied": "Temp Folder Emptied", + "uploadFailed": "Upload failed", + "uploadFailedInvalidUploadDesc": "Must be single PNG or JPEG image", + "uploadFailedUnableToLoadDesc": "Unable to load file", + "upscalingFailed": "Upscaling Failed", + "workflowLoaded": "Workflow Loaded" }, "tooltip": { "feature": { - "prompt": "This is the prompt field. Prompt includes generation objects and stylistic terms. You can add weight (token importance) in the prompt as well, but CLI commands and parameters will not work.", - "gallery": "Gallery displays generations from the outputs folder as they're created. Settings are stored within files and accesed by context menu.", - "other": "These options will enable alternative processing modes for Invoke. 'Seamless tiling' will create repeating patterns in the output. 'High resolution' is generation in two steps with img2img: use this setting when you want a larger and more coherent image without artifacts. It will take longer than usual txt2img.", - "seed": "Seed value affects the initial noise from which the image is formed. You can use the already existing seeds from previous images. 'Noise Threshold' is used to mitigate artifacts at high CFG values (try the 0-10 range), and Perlin to add Perlin noise during generation: both serve to add variation to your outputs.", - "variations": "Try a variation with a value between 0.1 and 1.0 to change the result for a given seed. Interesting variations of the seed are between 0.1 and 0.3.", - "upscale": "Use ESRGAN to enlarge the image immediately after generation.", - "faceCorrection": "Face correction with GFPGAN or Codeformer: the algorithm detects faces in the image and corrects any defects. High value will change the image more, resulting in more attractive faces. Codeformer with a higher fidelity preserves the original image at the expense of stronger face correction.", - "imageToImage": "Image to Image loads any image as initial, which is then used to generate a new one along with the prompt. The higher the value, the more the result image will change. Values from 0.0 to 1.0 are possible, the recommended range is .25-.75", "boundingBox": "The bounding box is the same as the Width and Height settings for Text to Image or Image to Image. Only the area in the box will be processed.", + "faceCorrection": "Face correction with GFPGAN or Codeformer: the algorithm detects faces in the image and corrects any defects. High value will change the image more, resulting in more attractive faces. Codeformer with a higher fidelity preserves the original image at the expense of stronger face correction.", + "gallery": "Gallery displays generations from the outputs folder as they're created. Settings are stored within files and accesed by context menu.", + "imageToImage": "Image to Image loads any image as initial, which is then used to generate a new one along with the prompt. The higher the value, the more the result image will change. Values from 0.0 to 1.0 are possible, the recommended range is .25-.75", + "infillAndScaling": "Manage infill methods (used on masked or erased areas of the canvas) and scaling (useful for small bounding box sizes).", + "other": "These options will enable alternative processing modes for Invoke. 'Seamless tiling' will create repeating patterns in the output. 'High resolution' is generation in two steps with img2img: use this setting when you want a larger and more coherent image without artifacts. It will take longer than usual txt2img.", + "prompt": "This is the prompt field. Prompt includes generation objects and stylistic terms. You can add weight (token importance) in the prompt as well, but CLI commands and parameters will not work.", "seamCorrection": "Controls the handling of visible seams that occur between generated images on the canvas.", - "infillAndScaling": "Manage infill methods (used on masked or erased areas of the canvas) and scaling (useful for small bounding box sizes)." + "seed": "Seed value affects the initial noise from which the image is formed. You can use the already existing seeds from previous images. 'Noise Threshold' is used to mitigate artifacts at high CFG values (try the 0-10 range), and Perlin to add Perlin noise during generation: both serve to add variation to your outputs.", + "upscale": "Use ESRGAN to enlarge the image immediately after generation.", + "variations": "Try a variation with a value between 0.1 and 1.0 to change the result for a given seed. Interesting variations of the seed are between 0.1 and 0.3." } }, + "ui": { + "hideProgressImages": "Hide Progress Images", + "lockRatio": "Lock Ratio", + "showProgressImages": "Show Progress Images", + "swapSizes": "Swap Sizes" + }, "unifiedCanvas": { - "layer": "Layer", - "base": "Base", - "mask": "Mask", - "maskingOptions": "Masking Options", - "enableMask": "Enable Mask", - "preserveMaskedArea": "Preserve Masked Area", - "clearMask": "Clear Mask", - "brush": "Brush", - "eraser": "Eraser", - "fillBoundingBox": "Fill Bounding Box", - "eraseBoundingBox": "Erase Bounding Box", - "colorPicker": "Color Picker", - "brushOptions": "Brush Options", - "brushSize": "Size", - "move": "Move", - "resetView": "Reset View", - "mergeVisible": "Merge Visible", - "saveToGallery": "Save To Gallery", - "copyToClipboard": "Copy to Clipboard", - "downloadAsImage": "Download As Image", - "undo": "Undo", - "redo": "Redo", - "clearCanvas": "Clear Canvas", - "canvasSettings": "Canvas Settings", - "showIntermediates": "Show Intermediates", - "showGrid": "Show Grid", - "snapToGrid": "Snap to Grid", - "darkenOutsideSelection": "Darken Outside Selection", - "autoSaveToGallery": "Auto Save to Gallery", - "saveBoxRegionOnly": "Save Box Region Only", - "limitStrokesToBox": "Limit Strokes to Box", - "showCanvasDebugInfo": "Show Additional Canvas Info", - "clearCanvasHistory": "Clear Canvas History", - "clearHistory": "Clear History", - "clearCanvasHistoryMessage": "Clearing the canvas history leaves your current canvas intact, but irreversibly clears the undo and redo history.", - "clearCanvasHistoryConfirm": "Are you sure you want to clear the canvas history?", - "emptyTempImageFolder": "Empty Temp Image Folder", - "emptyFolder": "Empty Folder", - "emptyTempImagesFolderMessage": "Emptying the temp image folder also fully resets the Unified Canvas. This includes all undo/redo history, images in the staging area, and the canvas base layer.", - "emptyTempImagesFolderConfirm": "Are you sure you want to empty the temp folder?", - "activeLayer": "Active Layer", - "canvasScale": "Canvas Scale", - "boundingBox": "Bounding Box", - "scaledBoundingBox": "Scaled Bounding Box", - "boundingBoxPosition": "Bounding Box Position", - "canvasDimensions": "Canvas Dimensions", - "canvasPosition": "Canvas Position", - "cursorPosition": "Cursor Position", - "previous": "Previous", - "next": "Next", "accept": "Accept", - "showHide": "Show/Hide", - "discardAll": "Discard All", + "activeLayer": "Active Layer", + "antialiasing": "Antialiasing", + "autoSaveToGallery": "Auto Save to Gallery", + "base": "Base", "betaClear": "Clear", "betaDarkenOutside": "Darken Outside", "betaLimitToBox": "Limit To Box", "betaPreserveMasked": "Preserve Masked", - "antialiasing": "Antialiasing" - }, - "ui": { - "showProgressImages": "Show Progress Images", - "hideProgressImages": "Hide Progress Images", - "swapSizes": "Swap Sizes", - "lockRatio": "Lock Ratio" - }, - "nodes": { - "reloadNodeTemplates": "Reload Node Templates", - "downloadWorkflow": "Download Workflow JSON", - "loadWorkflow": "Load Workflow", - "resetWorkflow": "Reset Workflow", - "resetWorkflowDesc": "Are you sure you want to reset this workflow?", - "resetWorkflowDesc2": "Resetting the workflow will clear all nodes, edges and workflow details.", - "zoomInNodes": "Zoom In", - "zoomOutNodes": "Zoom Out", - "fitViewportNodes": "Fit View", - "hideGraphNodes": "Hide Graph Overlay", - "showGraphNodes": "Show Graph Overlay", - "hideLegendNodes": "Hide Field Type Legend", - "showLegendNodes": "Show Field Type Legend", - "hideMinimapnodes": "Hide MiniMap", - "showMinimapnodes": "Show MiniMap" + "boundingBox": "Bounding Box", + "boundingBoxPosition": "Bounding Box Position", + "brush": "Brush", + "brushOptions": "Brush Options", + "brushSize": "Size", + "canvasDimensions": "Canvas Dimensions", + "canvasPosition": "Canvas Position", + "canvasScale": "Canvas Scale", + "canvasSettings": "Canvas Settings", + "clearCanvas": "Clear Canvas", + "clearCanvasHistory": "Clear Canvas History", + "clearCanvasHistoryConfirm": "Are you sure you want to clear the canvas history?", + "clearCanvasHistoryMessage": "Clearing the canvas history leaves your current canvas intact, but irreversibly clears the undo and redo history.", + "clearHistory": "Clear History", + "clearMask": "Clear Mask", + "colorPicker": "Color Picker", + "copyToClipboard": "Copy to Clipboard", + "cursorPosition": "Cursor Position", + "darkenOutsideSelection": "Darken Outside Selection", + "discardAll": "Discard All", + "downloadAsImage": "Download As Image", + "emptyFolder": "Empty Folder", + "emptyTempImageFolder": "Empty Temp Image Folder", + "emptyTempImagesFolderConfirm": "Are you sure you want to empty the temp folder?", + "emptyTempImagesFolderMessage": "Emptying the temp image folder also fully resets the Unified Canvas. This includes all undo/redo history, images in the staging area, and the canvas base layer.", + "enableMask": "Enable Mask", + "eraseBoundingBox": "Erase Bounding Box", + "eraser": "Eraser", + "fillBoundingBox": "Fill Bounding Box", + "layer": "Layer", + "limitStrokesToBox": "Limit Strokes to Box", + "mask": "Mask", + "maskingOptions": "Masking Options", + "mergeVisible": "Merge Visible", + "move": "Move", + "next": "Next", + "preserveMaskedArea": "Preserve Masked Area", + "previous": "Previous", + "redo": "Redo", + "resetView": "Reset View", + "saveBoxRegionOnly": "Save Box Region Only", + "saveToGallery": "Save To Gallery", + "scaledBoundingBox": "Scaled Bounding Box", + "showCanvasDebugInfo": "Show Additional Canvas Info", + "showGrid": "Show Grid", + "showHide": "Show/Hide", + "showIntermediates": "Show Intermediates", + "snapToGrid": "Snap to Grid", + "undo": "Undo" } } diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json index 125554fc40..b663275f92 100644 --- a/invokeai/frontend/web/public/locales/en.json +++ b/invokeai/frontend/web/public/locales/en.json @@ -1,40 +1,68 @@ { "accessibility": { - "modelSelect": "Model Select", - "invokeProgressBar": "Invoke progress bar", - "reset": "Reset", - "uploadImage": "Upload Image", - "previousImage": "Previous Image", - "nextImage": "Next Image", - "useThisParameter": "Use this parameter", "copyMetadataJson": "Copy metadata JSON", "exitViewer": "Exit Viewer", - "zoomIn": "Zoom In", - "zoomOut": "Zoom Out", - "rotateCounterClockwise": "Rotate Counter-Clockwise", - "rotateClockwise": "Rotate Clockwise", "flipHorizontally": "Flip Horizontally", "flipVertically": "Flip Vertically", + "invokeProgressBar": "Invoke progress bar", + "menu": "Menu", + "modelSelect": "Model Select", "modifyConfig": "Modify Config", + "nextImage": "Next Image", + "previousImage": "Previous Image", + "reset": "Reset", + "rotateClockwise": "Rotate Clockwise", + "rotateCounterClockwise": "Rotate Counter-Clockwise", + "showGalleryPanel": "Show Gallery Panel", + "showOptionsPanel": "Show Side Panel", "toggleAutoscroll": "Toggle autoscroll", "toggleLogViewer": "Toggle Log Viewer", - "showGallery": "Show Gallery", - "showOptionsPanel": "Show Side Panel", - "menu": "Menu" + "uploadImage": "Upload Image", + "useThisParameter": "Use this parameter", + "zoomIn": "Zoom In", + "zoomOut": "Zoom Out", + "loadMore": "Load More" + }, + "boards": { + "addBoard": "Add Board", + "autoAddBoard": "Auto-Add Board", + "bottomMessage": "Deleting this board and its images will reset any features currently using them.", + "cancel": "Cancel", + "changeBoard": "Change Board", + "clearSearch": "Clear Search", + "loading": "Loading...", + "menuItemAutoAdd": "Auto-add to this Board", + "move": "Move", + "myBoard": "My Board", + "noMatching": "No matching Boards", + "searchBoard": "Search Boards...", + "selectBoard": "Select a Board", + "topMessage": "This board contains images used in the following features:", + "uncategorized": "Uncategorized" }, "common": { + "accept": "Accept", + "advanced": "Advanced", + "areYouSure": "Are you sure?", + "back": "Back", + "batch": "Batch Manager", + "cancel": "Cancel", + "close": "Close", "communityLabel": "Community", - "hotkeysLabel": "Hotkeys", + "controlNet": "Controlnet", + "ipAdapter": "IP Adapter", "darkMode": "Dark Mode", - "lightMode": "Light Mode", - "languagePickerLabel": "Language", - "reportBugLabel": "Report Bug", - "githubLabel": "Github", "discordLabel": "Discord", - "settingsLabel": "Settings", + "dontAskMeAgain": "Don't ask me again", + "generate": "Generate", + "githubLabel": "Github", + "hotkeysLabel": "Hotkeys", + "imagePrompt": "Image Prompt", + "img2img": "Image To Image", "langArabic": "العربية", - "langEnglish": "English", + "langBrPortuguese": "Português do Brasil", "langDutch": "Nederlands", + "langEnglish": "English", "langFrench": "Français", "langGerman": "Deutsch", "langHebrew": "עברית", @@ -43,377 +71,510 @@ "langKorean": "한국어", "langPolish": "Polski", "langPortuguese": "Português", - "langBrPortuguese": "Português do Brasil", "langRussian": "Русский", "langSimplifiedChinese": "简体中文", - "langUkranian": "Украї́нська", "langSpanish": "Español", - "txt2img": "Text To Image", - "img2img": "Image To Image", - "unifiedCanvas": "Unified Canvas", + "languagePickerLabel": "Language", + "langUkranian": "Украї́нська", + "lightMode": "Light Mode", "linear": "Linear", - "nodes": "Workflow Editor", - "batch": "Batch Manager", + "load": "Load", + "loading": "Loading", + "loadingInvokeAI": "Loading Invoke AI", + "learnMore": "Learn More", "modelManager": "Model Manager", - "postprocessing": "Post Processing", + "nodeEditor": "Node Editor", + "nodes": "Workflow Editor", "nodesDesc": "A node based system for the generation of images is under development currently. Stay tuned for updates about this amazing feature.", - "postProcessing": "Post Processing", + "openInNewTab": "Open in New Tab", "postProcessDesc1": "Invoke AI offers a wide variety of post processing features. Image Upscaling and Face Restoration are already available in the WebUI. You can access them from the Advanced Options menu of the Text To Image and Image To Image tabs. You can also process images directly, using the image action buttons above the current image display or in the viewer.", "postProcessDesc2": "A dedicated UI will be released soon to facilitate more advanced post processing workflows.", "postProcessDesc3": "The Invoke AI Command Line Interface offers various other features including Embiggen.", - "training": "Training", - "trainingDesc1": "A dedicated workflow for training your own embeddings and checkpoints using Textual Inversion and Dreambooth from the web interface.", - "trainingDesc2": "InvokeAI already supports training custom embeddourings using Textual Inversion using the main script.", - "upload": "Upload", - "close": "Close", - "cancel": "Cancel", - "accept": "Accept", - "load": "Load", - "back": "Back", + "postprocessing": "Post Processing", + "postProcessing": "Post Processing", + "random": "Random", + "reportBugLabel": "Report Bug", + "settingsLabel": "Settings", "statusConnected": "Connected", + "statusConvertingModel": "Converting Model", "statusDisconnected": "Disconnected", "statusError": "Error", - "statusPreparing": "Preparing", - "statusProcessingCanceled": "Processing Canceled", - "statusProcessingComplete": "Processing Complete", "statusGenerating": "Generating", - "statusGeneratingTextToImage": "Generating Text To Image", "statusGeneratingImageToImage": "Generating Image To Image", "statusGeneratingInpainting": "Generating Inpainting", "statusGeneratingOutpainting": "Generating Outpainting", + "statusGeneratingTextToImage": "Generating Text To Image", "statusGenerationComplete": "Generation Complete", "statusIterationComplete": "Iteration Complete", - "statusSavingImage": "Saving Image", + "statusLoadingModel": "Loading Model", + "statusMergedModels": "Models Merged", + "statusMergingModels": "Merging Models", + "statusModelChanged": "Model Changed", + "statusModelConverted": "Model Converted", + "statusPreparing": "Preparing", + "statusProcessing": "Processing", + "statusProcessingCanceled": "Processing Canceled", + "statusProcessingComplete": "Processing Complete", "statusRestoringFaces": "Restoring Faces", - "statusRestoringFacesGFPGAN": "Restoring Faces (GFPGAN)", "statusRestoringFacesCodeFormer": "Restoring Faces (CodeFormer)", + "statusRestoringFacesGFPGAN": "Restoring Faces (GFPGAN)", + "statusSavingImage": "Saving Image", "statusUpscaling": "Upscaling", "statusUpscalingESRGAN": "Upscaling (ESRGAN)", - "statusLoadingModel": "Loading Model", - "statusModelChanged": "Model Changed", - "statusConvertingModel": "Converting Model", - "statusModelConverted": "Model Converted", - "statusMergingModels": "Merging Models", - "statusMergedModels": "Models Merged", - "loading": "Loading", - "loadingInvokeAI": "Loading Invoke AI", - "random": "Random", - "generate": "Generate", - "openInNewTab": "Open in New Tab", - "dontAskMeAgain": "Don't ask me again", - "areYouSure": "Are you sure?", - "imagePrompt": "Image Prompt" + "training": "Training", + "trainingDesc1": "A dedicated workflow for training your own embeddings and checkpoints using Textual Inversion and Dreambooth from the web interface.", + "trainingDesc2": "InvokeAI already supports training custom embeddourings using Textual Inversion using the main script.", + "txt2img": "Text To Image", + "unifiedCanvas": "Unified Canvas", + "upload": "Upload" + }, + "controlnet": { + "amult": "a_mult", + "autoConfigure": "Auto configure processor", + "balanced": "Balanced", + "beginEndStepPercent": "Begin / End Step Percentage", + "bgth": "bg_th", + "canny": "Canny", + "cannyDescription": "Canny edge detection", + "colorMap": "Color", + "colorMapDescription": "Generates a color map from the image", + "coarse": "Coarse", + "contentShuffle": "Content Shuffle", + "contentShuffleDescription": "Shuffles the content in an image", + "control": "Control", + "controlMode": "Control Mode", + "crop": "Crop", + "delete": "Delete", + "depthMidas": "Depth (Midas)", + "depthMidasDescription": "Depth map generation using Midas", + "depthZoe": "Depth (Zoe)", + "depthZoeDescription": "Depth map generation using Zoe", + "detectResolution": "Detect Resolution", + "duplicate": "Duplicate", + "enableControlnet": "Enable ControlNet", + "f": "F", + "fill": "Fill", + "h": "H", + "handAndFace": "Hand and Face", + "hed": "HED", + "hedDescription": "Holistically-Nested Edge Detection", + "hideAdvanced": "Hide Advanced", + "highThreshold": "High Threshold", + "imageResolution": "Image Resolution", + "colorMapTileSize": "Tile Size", + "importImageFromCanvas": "Import Image From Canvas", + "importMaskFromCanvas": "Import Mask From Canvas", + "incompatibleBaseModel": "Incompatible base model:", + "lineart": "Lineart", + "lineartAnime": "Lineart Anime", + "lineartAnimeDescription": "Anime-style lineart processing", + "lineartDescription": "Converts image to lineart", + "lowThreshold": "Low Threshold", + "maxFaces": "Max Faces", + "mediapipeFace": "Mediapipe Face", + "mediapipeFaceDescription": "Face detection using Mediapipe", + "megaControl": "Mega Control", + "minConfidence": "Min Confidence", + "mlsd": "M-LSD", + "mlsdDescription": "Minimalist Line Segment Detector", + "none": "None", + "noneDescription": "No processing applied", + "normalBae": "Normal BAE", + "normalBaeDescription": "Normal BAE processing", + "openPose": "Openpose", + "openPoseDescription": "Human pose estimation using Openpose", + "pidi": "PIDI", + "pidiDescription": "PIDI image processing", + "processor": "Processor", + "prompt": "Prompt", + "resetControlImage": "Reset Control Image", + "resize": "Resize", + "resizeMode": "Resize Mode", + "safe": "Safe", + "saveControlImage": "Save Control Image", + "scribble": "scribble", + "selectModel": "Select a model", + "setControlImageDimensions": "Set Control Image Dimensions To W/H", + "showAdvanced": "Show Advanced", + "toggleControlNet": "Toggle this ControlNet", + "w": "W", + "weight": "Weight", + "enableIPAdapter": "Enable IP Adapter", + "ipAdapterModel": "Adapter Model", + "resetIPAdapterImage": "Reset IP Adapter Image", + "ipAdapterImageFallback": "No IP Adapter Image Selected" + }, + "embedding": { + "addEmbedding": "Add Embedding", + "incompatibleModel": "Incompatible base model:", + "noMatchingEmbedding": "No matching Embeddings" + }, + "queue": { + "queue": "Queue", + "queueFront": "Add to Front of Queue", + "queueBack": "Add to Queue", + "queueCountPrediction": "Add {{predicted}} to Queue", + "queueMaxExceeded": "Max of {{max_queue_size}} exceeded, would skip {{skip}}", + "queuedCount": "{{pending}} Pending", + "queueTotal": "{{total}} Total", + "queueEmpty": "Queue Empty", + "enqueueing": "Queueing Batch", + "resume": "Resume", + "resumeTooltip": "Resume Processor", + "resumeSucceeded": "Processor Resumed", + "resumeFailed": "Problem Resuming Processor", + "pause": "Pause", + "pauseTooltip": "Pause Processor", + "pauseSucceeded": "Processor Paused", + "pauseFailed": "Problem Pausing Processor", + "cancel": "Cancel", + "cancelTooltip": "Cancel Current Item", + "cancelSucceeded": "Item Canceled", + "cancelFailed": "Problem Canceling Item", + "prune": "Prune", + "pruneTooltip": "Prune {{item_count}} Completed Items", + "pruneSucceeded": "Pruned {{item_count}} Completed Items from Queue", + "pruneFailed": "Problem Pruning Queue", + "clear": "Clear", + "clearTooltip": "Cancel and Clear All Items", + "clearSucceeded": "Queue Cleared", + "clearFailed": "Problem Clearing Queue", + "cancelBatch": "Cancel Batch", + "cancelItem": "Cancel Item", + "cancelBatchSucceeded": "Batch Canceled", + "cancelBatchFailed": "Problem Canceling Batch", + "clearQueueAlertDialog": "Clearing the queue immediately cancels any processing items and clears the queue entirely.", + "clearQueueAlertDialog2": "Are you sure you want to clear the queue?", + "current": "Current", + "next": "Next", + "status": "Status", + "total": "Total", + "pending": "Pending", + "in_progress": "In Progress", + "completed": "Completed", + "failed": "Failed", + "canceled": "Canceled", + "completedIn": "Completed in", + "batch": "Batch", + "item": "Item", + "session": "Session", + "batchValues": "Batch Values", + "notReady": "Unable to Queue", + "batchQueued": "Batch Queued", + "batchQueuedDesc": "Added {{item_count}} sessions to {{direction}} of queue", + "front": "front", + "back": "back", + "batchFailedToQueue": "Failed to Queue Batch", + "graphQueued": "Graph queued", + "graphFailedToQueue": "Failed to queue graph" + }, + "invocationCache": { + "invocationCache": "Invocation Cache", + "cacheSize": "Cache Size", + "maxCacheSize": "Max Cache Size", + "hits": "Cache Hits", + "misses": "Cache Misses", + "clear": "Clear", + "clearSucceeded": "Invocation Cache Cleared", + "clearFailed": "Problem Clearing Invocation Cache", + "enable": "Enable", + "enableSucceeded": "Invocation Cache Enabled", + "enableFailed": "Problem Enabling Invocation Cache", + "disable": "Disable", + "disableSucceeded": "Invocation Cache Disabled", + "disableFailed": "Problem Disabling Invocation Cache" }, "gallery": { - "generations": "Generations", - "showGenerations": "Show Generations", - "uploads": "Uploads", - "showUploads": "Show Uploads", - "galleryImageSize": "Image Size", - "galleryImageResetSize": "Reset Size", - "gallerySettings": "Gallery Settings", - "maintainAspectRatio": "Maintain Aspect Ratio", - "autoSwitchNewImages": "Auto-Switch to New Images", - "singleColumnLayout": "Single Column Layout", "allImagesLoaded": "All Images Loaded", - "loadMore": "Load More", - "noImagesInGallery": "No Images to Display", + "assets": "Assets", + "autoAssignBoardOnClick": "Auto-Assign Board on Click", + "autoSwitchNewImages": "Auto-Switch to New Images", + "copy": "Copy", + "currentlyInUse": "This image is currently in use in the following features:", "deleteImage": "Delete Image", "deleteImageBin": "Deleted images will be sent to your operating system's Bin.", "deleteImagePermanent": "Deleted images cannot be restored.", + "download": "Download", + "featuresWillReset": "If you delete this image, those features will immediately be reset.", + "galleryImageResetSize": "Reset Size", + "galleryImageSize": "Image Size", + "gallerySettings": "Gallery Settings", + "generations": "Generations", "images": "Images", - "assets": "Assets", - "autoAssignBoardOnClick": "Auto-Assign Board on Click" + "loading": "Loading", + "loadMore": "Load More", + "maintainAspectRatio": "Maintain Aspect Ratio", + "noImagesInGallery": "No Images to Display", + "setCurrentImage": "Set as Current Image", + "showGenerations": "Show Generations", + "showUploads": "Show Uploads", + "singleColumnLayout": "Single Column Layout", + "unableToLoad": "Unable to load Gallery", + "uploads": "Uploads" }, "hotkeys": { - "keyboardShortcuts": "Keyboard Shortcuts", - "appHotkeys": "App Hotkeys", - "generalHotkeys": "General Hotkeys", - "galleryHotkeys": "Gallery Hotkeys", - "unifiedCanvasHotkeys": "Unified Canvas Hotkeys", - "nodesHotkeys": "Nodes Hotkeys", - "invoke": { - "title": "Invoke", - "desc": "Generate an image" - }, - "cancel": { - "title": "Cancel", - "desc": "Cancel image generation" - }, - "focusPrompt": { - "title": "Focus Prompt", - "desc": "Focus the prompt input area" - }, - "toggleOptions": { - "title": "Toggle Options", - "desc": "Open and close the options panel" - }, - "pinOptions": { - "title": "Pin Options", - "desc": "Pin the options panel" - }, - "toggleViewer": { - "title": "Toggle Viewer", - "desc": "Open and close Image Viewer" - }, - "toggleGallery": { - "title": "Toggle Gallery", - "desc": "Open and close the gallery drawer" - }, - "maximizeWorkSpace": { - "title": "Maximize Workspace", - "desc": "Close panels and maximize work area" - }, - "changeTabs": { - "title": "Change Tabs", - "desc": "Switch to another workspace" - }, - "consoleToggle": { - "title": "Console Toggle", - "desc": "Open and close console" - }, - "setPrompt": { - "title": "Set Prompt", - "desc": "Use the prompt of the current image" - }, - "setSeed": { - "title": "Set Seed", - "desc": "Use the seed of the current image" - }, - "setParameters": { - "title": "Set Parameters", - "desc": "Use all parameters of the current image" - }, - "restoreFaces": { - "title": "Restore Faces", - "desc": "Restore the current image" - }, - "upscale": { - "title": "Upscale", - "desc": "Upscale the current image" - }, - "showInfo": { - "title": "Show Info", - "desc": "Show metadata info of the current image" - }, - "sendToImageToImage": { - "title": "Send To Image To Image", - "desc": "Send current image to Image to Image" - }, - "deleteImage": { - "title": "Delete Image", - "desc": "Delete the current image" - }, - "closePanels": { - "title": "Close Panels", - "desc": "Closes open panels" - }, - "previousImage": { - "title": "Previous Image", - "desc": "Display the previous image in gallery" - }, - "nextImage": { - "title": "Next Image", - "desc": "Display the next image in gallery" - }, - "toggleGalleryPin": { - "title": "Toggle Gallery Pin", - "desc": "Pins and unpins the gallery to the UI" - }, - "increaseGalleryThumbSize": { - "title": "Increase Gallery Image Size", - "desc": "Increases gallery thumbnails size" - }, - "decreaseGalleryThumbSize": { - "title": "Decrease Gallery Image Size", - "desc": "Decreases gallery thumbnails size" - }, - "selectBrush": { - "title": "Select Brush", - "desc": "Selects the canvas brush" - }, - "selectEraser": { - "title": "Select Eraser", - "desc": "Selects the canvas eraser" - }, - "decreaseBrushSize": { - "title": "Decrease Brush Size", - "desc": "Decreases the size of the canvas brush/eraser" - }, - "increaseBrushSize": { - "title": "Increase Brush Size", - "desc": "Increases the size of the canvas brush/eraser" - }, - "decreaseBrushOpacity": { - "title": "Decrease Brush Opacity", - "desc": "Decreases the opacity of the canvas brush" - }, - "increaseBrushOpacity": { - "title": "Increase Brush Opacity", - "desc": "Increases the opacity of the canvas brush" - }, - "moveTool": { - "title": "Move Tool", - "desc": "Allows canvas navigation" - }, - "fillBoundingBox": { - "title": "Fill Bounding Box", - "desc": "Fills the bounding box with brush color" - }, - "eraseBoundingBox": { - "title": "Erase Bounding Box", - "desc": "Erases the bounding box area" - }, - "colorPicker": { - "title": "Select Color Picker", - "desc": "Selects the canvas color picker" - }, - "toggleSnap": { - "title": "Toggle Snap", - "desc": "Toggles Snap to Grid" - }, - "quickToggleMove": { - "title": "Quick Toggle Move", - "desc": "Temporarily toggles Move mode" - }, - "toggleLayer": { - "title": "Toggle Layer", - "desc": "Toggles mask/base layer selection" - }, - "clearMask": { - "title": "Clear Mask", - "desc": "Clear the entire mask" - }, - "hideMask": { - "title": "Hide Mask", - "desc": "Hide and unhide mask" - }, - "showHideBoundingBox": { - "title": "Show/Hide Bounding Box", - "desc": "Toggle visibility of bounding box" - }, - "mergeVisible": { - "title": "Merge Visible", - "desc": "Merge all visible layers of canvas" - }, - "saveToGallery": { - "title": "Save To Gallery", - "desc": "Save current canvas to gallery" - }, - "copyToClipboard": { - "title": "Copy to Clipboard", - "desc": "Copy current canvas to clipboard" - }, - "downloadImage": { - "title": "Download Image", - "desc": "Download current canvas" - }, - "undoStroke": { - "title": "Undo Stroke", - "desc": "Undo a brush stroke" - }, - "redoStroke": { - "title": "Redo Stroke", - "desc": "Redo a brush stroke" - }, - "resetView": { - "title": "Reset View", - "desc": "Reset Canvas View" - }, - "previousStagingImage": { - "title": "Previous Staging Image", - "desc": "Previous Staging Area Image" - }, - "nextStagingImage": { - "title": "Next Staging Image", - "desc": "Next Staging Area Image" - }, "acceptStagingImage": { - "title": "Accept Staging Image", - "desc": "Accept Current Staging Area Image" + "desc": "Accept Current Staging Area Image", + "title": "Accept Staging Image" }, "addNodes": { - "title": "Add Nodes", - "desc": "Opens the add node menu" + "desc": "Opens the add node menu", + "title": "Add Nodes" + }, + "appHotkeys": "App Hotkeys", + "cancel": { + "desc": "Cancel image generation", + "title": "Cancel" + }, + "changeTabs": { + "desc": "Switch to another workspace", + "title": "Change Tabs" + }, + "clearMask": { + "desc": "Clear the entire mask", + "title": "Clear Mask" + }, + "closePanels": { + "desc": "Closes open panels", + "title": "Close Panels" + }, + "colorPicker": { + "desc": "Selects the canvas color picker", + "title": "Select Color Picker" + }, + "consoleToggle": { + "desc": "Open and close console", + "title": "Console Toggle" + }, + "copyToClipboard": { + "desc": "Copy current canvas to clipboard", + "title": "Copy to Clipboard" + }, + "decreaseBrushOpacity": { + "desc": "Decreases the opacity of the canvas brush", + "title": "Decrease Brush Opacity" + }, + "decreaseBrushSize": { + "desc": "Decreases the size of the canvas brush/eraser", + "title": "Decrease Brush Size" + }, + "decreaseGalleryThumbSize": { + "desc": "Decreases gallery thumbnails size", + "title": "Decrease Gallery Image Size" + }, + "deleteImage": { + "desc": "Delete the current image", + "title": "Delete Image" + }, + "downloadImage": { + "desc": "Download current canvas", + "title": "Download Image" + }, + "eraseBoundingBox": { + "desc": "Erases the bounding box area", + "title": "Erase Bounding Box" + }, + "fillBoundingBox": { + "desc": "Fills the bounding box with brush color", + "title": "Fill Bounding Box" + }, + "focusPrompt": { + "desc": "Focus the prompt input area", + "title": "Focus Prompt" + }, + "galleryHotkeys": "Gallery Hotkeys", + "generalHotkeys": "General Hotkeys", + "hideMask": { + "desc": "Hide and unhide mask", + "title": "Hide Mask" + }, + "increaseBrushOpacity": { + "desc": "Increases the opacity of the canvas brush", + "title": "Increase Brush Opacity" + }, + "increaseBrushSize": { + "desc": "Increases the size of the canvas brush/eraser", + "title": "Increase Brush Size" + }, + "increaseGalleryThumbSize": { + "desc": "Increases gallery thumbnails size", + "title": "Increase Gallery Image Size" + }, + "invoke": { + "desc": "Generate an image", + "title": "Invoke" + }, + "keyboardShortcuts": "Keyboard Shortcuts", + "maximizeWorkSpace": { + "desc": "Close panels and maximize work area", + "title": "Maximize Workspace" + }, + "mergeVisible": { + "desc": "Merge all visible layers of canvas", + "title": "Merge Visible" + }, + "moveTool": { + "desc": "Allows canvas navigation", + "title": "Move Tool" + }, + "nextImage": { + "desc": "Display the next image in gallery", + "title": "Next Image" + }, + "nextStagingImage": { + "desc": "Next Staging Area Image", + "title": "Next Staging Image" + }, + "nodesHotkeys": "Nodes Hotkeys", + "pinOptions": { + "desc": "Pin the options panel", + "title": "Pin Options" + }, + "previousImage": { + "desc": "Display the previous image in gallery", + "title": "Previous Image" + }, + "previousStagingImage": { + "desc": "Previous Staging Area Image", + "title": "Previous Staging Image" + }, + "quickToggleMove": { + "desc": "Temporarily toggles Move mode", + "title": "Quick Toggle Move" + }, + "redoStroke": { + "desc": "Redo a brush stroke", + "title": "Redo Stroke" + }, + "resetView": { + "desc": "Reset Canvas View", + "title": "Reset View" + }, + "restoreFaces": { + "desc": "Restore the current image", + "title": "Restore Faces" + }, + "saveToGallery": { + "desc": "Save current canvas to gallery", + "title": "Save To Gallery" + }, + "selectBrush": { + "desc": "Selects the canvas brush", + "title": "Select Brush" + }, + "selectEraser": { + "desc": "Selects the canvas eraser", + "title": "Select Eraser" + }, + "sendToImageToImage": { + "desc": "Send current image to Image to Image", + "title": "Send To Image To Image" + }, + "setParameters": { + "desc": "Use all parameters of the current image", + "title": "Set Parameters" + }, + "setPrompt": { + "desc": "Use the prompt of the current image", + "title": "Set Prompt" + }, + "setSeed": { + "desc": "Use the seed of the current image", + "title": "Set Seed" + }, + "showHideBoundingBox": { + "desc": "Toggle visibility of bounding box", + "title": "Show/Hide Bounding Box" + }, + "showInfo": { + "desc": "Show metadata info of the current image", + "title": "Show Info" + }, + "toggleGallery": { + "desc": "Open and close the gallery drawer", + "title": "Toggle Gallery" + }, + "toggleGalleryPin": { + "desc": "Pins and unpins the gallery to the UI", + "title": "Toggle Gallery Pin" + }, + "toggleLayer": { + "desc": "Toggles mask/base layer selection", + "title": "Toggle Layer" + }, + "toggleOptions": { + "desc": "Open and close the options panel", + "title": "Toggle Options" + }, + "toggleSnap": { + "desc": "Toggles Snap to Grid", + "title": "Toggle Snap" + }, + "toggleViewer": { + "desc": "Open and close Image Viewer", + "title": "Toggle Viewer" + }, + "undoStroke": { + "desc": "Undo a brush stroke", + "title": "Undo Stroke" + }, + "unifiedCanvasHotkeys": "Unified Canvas Hotkeys", + "upscale": { + "desc": "Upscale the current image", + "title": "Upscale" } }, - "modelManager": { - "modelManager": "Model Manager", + "metadata": { + "cfgScale": "CFG scale", + "createdBy": "Created By", + "fit": "Image to image fit", + "generationMode": "Generation Mode", + "height": "Height", + "hiresFix": "High Resolution Optimization", + "imageDetails": "Image Details", + "initImage": "Initial image", + "metadata": "Metadata", "model": "Model", - "vae": "VAE", - "allModels": "All Models", - "checkpointModels": "Checkpoints", - "diffusersModels": "Diffusers", - "loraModels": "LoRAs", - "safetensorModels": "SafeTensors", - "onnxModels": "Onnx", - "oliveModels": "Olives", - "modelAdded": "Model Added", - "modelUpdated": "Model Updated", - "modelUpdateFailed": "Model Update Failed", - "modelEntryDeleted": "Model Entry Deleted", - "cannotUseSpaces": "Cannot Use Spaces", + "negativePrompt": "Negative Prompt", + "noImageDetails": "No image details found", + "noMetaData": "No metadata found", + "perlin": "Perlin Noise", + "positivePrompt": "Positive Prompt", + "scheduler": "Scheduler", + "seamless": "Seamless", + "seed": "Seed", + "steps": "Steps", + "strength": "Image to image strength", + "Threshold": "Noise Threshold", + "variations": "Seed-weight pairs", + "width": "Width", + "workflow": "Workflow" + }, + "modelManager": { + "active": "active", + "addCheckpointModel": "Add Checkpoint / Safetensor Model", + "addDifference": "Add Difference", + "addDiffuserModel": "Add Diffusers", + "addManually": "Add Manually", + "addModel": "Add Model", "addNew": "Add New", "addNewModel": "Add New Model", - "addCheckpointModel": "Add Checkpoint / Safetensor Model", - "addDiffuserModel": "Add Diffusers", - "scanForModels": "Scan For Models", - "addManually": "Add Manually", - "manual": "Manual", + "addSelected": "Add Selected", + "advanced": "Advanced", + "allModels": "All Models", + "alpha": "Alpha", + "availableModels": "Available Models", "baseModel": "Base Model", - "name": "Name", - "nameValidationMsg": "Enter a name for your model", - "description": "Description", - "descriptionValidationMsg": "Add a description for your model", + "cached": "cached", + "cannotUseSpaces": "Cannot Use Spaces", + "checkpointFolder": "Checkpoint Folder", + "checkpointModels": "Checkpoints", + "clearCheckpointFolder": "Clear Checkpoint Folder", + "closeAdvanced": "Close Advanced", "config": "Config", "configValidationMsg": "Path to the config file of your model.", - "modelLocation": "Model Location", - "modelLocationValidationMsg": "Path to where your model is located locally.", - "repo_id": "Repo ID", - "repoIDValidationMsg": "Online repository of your model", - "vaeLocation": "VAE Location", - "vaeLocationValidationMsg": "Path to where your VAE is located.", - "variant": "Variant", - "vaeRepoID": "VAE Repo ID", - "vaeRepoIDValidationMsg": "Online repository of your VAE", - "width": "Width", - "widthValidationMsg": "Default width of your model.", - "height": "Height", - "heightValidationMsg": "Default height of your model.", - "addModel": "Add Model", - "updateModel": "Update Model", - "availableModels": "Available Models", - "search": "Search", - "load": "Load", - "active": "active", - "notLoaded": "not loaded", - "cached": "cached", - "checkpointFolder": "Checkpoint Folder", - "clearCheckpointFolder": "Clear Checkpoint Folder", - "findModels": "Find Models", - "scanAgain": "Scan Again", - "modelsFound": "Models Found", - "selectFolder": "Select Folder", - "selected": "Selected", - "selectAll": "Select All", - "deselectAll": "Deselect All", - "showExisting": "Show Existing", - "addSelected": "Add Selected", - "modelExists": "Model Exists", - "selectAndAdd": "Select and Add Models Listed Below", - "noModelsFound": "No Models Found", - "delete": "Delete", - "deleteModel": "Delete Model", - "deleteConfig": "Delete Config", - "deleteMsg1": "Are you sure you want to delete this model from InvokeAI?", - "modelDeleted": "Model Deleted", - "modelDeleteFailed": "Failed to delete model", - "deleteMsg2": "This WILL delete the model from disk if it is in the InvokeAI root folder. If you are using a custom location, then the model WILL NOT be deleted from disk.", - "formMessageDiffusersModelLocation": "Diffusers Model Location", - "formMessageDiffusersModelLocationDesc": "Please enter at least one.", - "formMessageDiffusersVAELocation": "VAE Location", - "formMessageDiffusersVAELocationDesc": "If not provided, InvokeAI will look for the VAE file inside the model location given above.", "convert": "Convert", + "convertingModelBegin": "Converting Model. Please wait.", "convertToDiffusers": "Convert To Diffusers", "convertToDiffusersHelpText1": "This model will be converted to the 🧨 Diffusers format.", "convertToDiffusersHelpText2": "This process will replace your Model Manager entry with the Diffusers version of the same model.", @@ -422,318 +583,867 @@ "convertToDiffusersHelpText5": "Please make sure you have enough disk space. Models generally vary between 2GB-7GB in size.", "convertToDiffusersHelpText6": "Do you wish to convert this model?", "convertToDiffusersSaveLocation": "Save Location", - "noCustomLocationProvided": "No Custom Location Provided", - "convertingModelBegin": "Converting Model. Please wait.", - "v1": "v1", - "v2_base": "v2 (512px)", - "v2_768": "v2 (768px)", - "inpainting": "v1 Inpainting", - "customConfig": "Custom Config", - "pathToCustomConfig": "Path To Custom Config", - "statusConverting": "Converting", - "modelConverted": "Model Converted", - "modelConversionFailed": "Model Conversion Failed", - "sameFolder": "Same folder", - "invokeRoot": "InvokeAI folder", "custom": "Custom", + "customConfig": "Custom Config", + "customConfigFileLocation": "Custom Config File Location", "customSaveLocation": "Custom Save Location", - "merge": "Merge", - "modelsMerged": "Models Merged", - "modelsMergeFailed": "Model Merge Failed", - "mergeModels": "Merge Models", - "modelOne": "Model 1", - "modelTwo": "Model 2", - "modelThree": "Model 3", - "mergedModelName": "Merged Model Name", - "alpha": "Alpha", - "interpolationType": "Interpolation Type", - "mergedModelSaveLocation": "Save Location", - "mergedModelCustomSaveLocation": "Custom Path", - "invokeAIFolder": "Invoke AI Folder", + "delete": "Delete", + "deleteConfig": "Delete Config", + "deleteModel": "Delete Model", + "deleteMsg1": "Are you sure you want to delete this model from InvokeAI?", + "deleteMsg2": "This WILL delete the model from disk if it is in the InvokeAI root folder. If you are using a custom location, then the model WILL NOT be deleted from disk.", + "description": "Description", + "descriptionValidationMsg": "Add a description for your model", + "deselectAll": "Deselect All", + "diffusersModels": "Diffusers", + "findModels": "Find Models", + "formMessageDiffusersModelLocation": "Diffusers Model Location", + "formMessageDiffusersModelLocationDesc": "Please enter at least one.", + "formMessageDiffusersVAELocation": "VAE Location", + "formMessageDiffusersVAELocationDesc": "If not provided, InvokeAI will look for the VAE file inside the model location given above.", + "height": "Height", + "heightValidationMsg": "Default height of your model.", "ignoreMismatch": "Ignore Mismatches Between Selected Models", + "importModels": "Import Models", + "inpainting": "v1 Inpainting", + "interpolationType": "Interpolation Type", + "inverseSigmoid": "Inverse Sigmoid", + "invokeAIFolder": "Invoke AI Folder", + "invokeRoot": "InvokeAI folder", + "load": "Load", + "loraModels": "LoRAs", + "manual": "Manual", + "merge": "Merge", + "mergedModelCustomSaveLocation": "Custom Path", + "mergedModelName": "Merged Model Name", + "mergedModelSaveLocation": "Save Location", + "mergeModels": "Merge Models", + "model": "Model", + "modelAdded": "Model Added", + "modelConversionFailed": "Model Conversion Failed", + "modelConverted": "Model Converted", + "modelDeleted": "Model Deleted", + "modelDeleteFailed": "Failed to delete model", + "modelEntryDeleted": "Model Entry Deleted", + "modelExists": "Model Exists", + "modelLocation": "Model Location", + "modelLocationValidationMsg": "Provide the path to a local folder where your Diffusers Model is stored", + "modelManager": "Model Manager", + "modelMergeAlphaHelp": "Alpha controls blend strength for the models. Lower alpha values lead to lower influence of the second model.", "modelMergeHeaderHelp1": "You can merge up to three different models to create a blend that suits your needs.", "modelMergeHeaderHelp2": "Only Diffusers are available for merging. If you want to merge a checkpoint model, please convert it to Diffusers first.", - "modelMergeAlphaHelp": "Alpha controls blend strength for the models. Lower alpha values lead to lower influence of the second model.", "modelMergeInterpAddDifferenceHelp": "In this mode, Model 3 is first subtracted from Model 2. The resulting version is blended with Model 1 with the alpha rate set above.", - "inverseSigmoid": "Inverse Sigmoid", - "sigmoid": "Sigmoid", - "weightedSum": "Weighted Sum", + "modelOne": "Model 1", + "modelsFound": "Models Found", + "modelsMerged": "Models Merged", + "modelsMergeFailed": "Model Merge Failed", + "modelsSynced": "Models Synced", + "modelSyncFailed": "Model Sync Failed", + "modelThree": "Model 3", + "modelTwo": "Model 2", + "modelType": "Model Type", + "modelUpdated": "Model Updated", + "modelUpdateFailed": "Model Update Failed", + "name": "Name", + "nameValidationMsg": "Enter a name for your model", + "noCustomLocationProvided": "No Custom Location Provided", + "noModels": "No Models Found", + "noModelsFound": "No Models Found", "none": "none", - "addDifference": "Add Difference", + "notLoaded": "not loaded", + "oliveModels": "Olives", + "onnxModels": "Onnx", + "pathToCustomConfig": "Path To Custom Config", "pickModelType": "Pick Model Type", + "predictionType": "Prediction Type (for Stable Diffusion 2.x Models only)", + "quickAdd": "Quick Add", + "repo_id": "Repo ID", + "repoIDValidationMsg": "Online repository of your model", + "safetensorModels": "SafeTensors", + "sameFolder": "Same folder", + "scanAgain": "Scan Again", + "scanForModels": "Scan For Models", + "search": "Search", + "selectAll": "Select All", + "selectAndAdd": "Select and Add Models Listed Below", + "selected": "Selected", + "selectFolder": "Select Folder", "selectModel": "Select Model", - "importModels": "Import Models", "settings": "Settings", + "showExisting": "Show Existing", + "sigmoid": "Sigmoid", + "simpleModelDesc": "Provide a path to a local Diffusers model, local checkpoint / safetensors model a HuggingFace Repo ID, or a checkpoint/diffusers model URL.", + "statusConverting": "Converting", "syncModels": "Sync Models", "syncModelsDesc": "If your models are out of sync with the backend, you can refresh them up using this option. This is generally handy in cases where you manually update your models.yaml file or add models to the InvokeAI root folder after the application has booted.", - "modelsSynced": "Models Synced", - "modelSyncFailed": "Model Sync Failed" + "updateModel": "Update Model", + "useCustomConfig": "Use Custom Config", + "v1": "v1", + "v2_768": "v2 (768px)", + "v2_base": "v2 (512px)", + "vae": "VAE", + "vaeLocation": "VAE Location", + "vaeLocationValidationMsg": "Path to where your VAE is located.", + "vaeRepoID": "VAE Repo ID", + "vaeRepoIDValidationMsg": "Online repository of your VAE", + "variant": "Variant", + "weightedSum": "Weighted Sum", + "width": "Width", + "widthValidationMsg": "Default width of your model." + }, + "models": { + "loading": "loading", + "noLoRAsAvailable": "No LoRAs available", + "noMatchingLoRAs": "No matching LoRAs", + "noMatchingModels": "No matching Models", + "noModelsAvailable": "No Modelss available", + "selectLoRA": "Select a LoRA", + "selectModel": "Select a Model" + }, + "nodes": { + "addNode": "Add Node", + "addNodeToolTip": "Add Node (Shift+A, Space)", + "animatedEdges": "Animated Edges", + "animatedEdgesHelp": "Animate selected edges and edges connected to selected nodes", + "boardField": "Board", + "boardFieldDescription": "A gallery board", + "boolean": "Booleans", + "booleanCollection": "Boolean Collection", + "booleanCollectionDescription": "A collection of booleans.", + "booleanDescription": "Booleans are true or false.", + "booleanPolymorphic": "Boolean Polymorphic", + "booleanPolymorphicDescription": "A collection of booleans.", + "cannotConnectInputToInput": "Cannot connect input to input", + "cannotConnectOutputToOutput": "Cannot connect output to output", + "cannotConnectToSelf": "Cannot connect to self", + "clipField": "Clip", + "clipFieldDescription": "Tokenizer and text_encoder submodels.", + "collection": "Collection", + "collectionDescription": "TODO", + "collectionItem": "Collection Item", + "collectionItemDescription": "TODO", + "colorCodeEdges": "Color-Code Edges", + "colorCodeEdgesHelp": "Color-code edges according to their connected fields", + "colorCollection": "A collection of colors.", + "colorCollectionDescription": "TODO", + "colorField": "Color", + "colorFieldDescription": "A RGBA color.", + "colorPolymorphic": "Color Polymorphic", + "colorPolymorphicDescription": "A collection of colors.", + "conditioningCollection": "Conditioning Collection", + "conditioningCollectionDescription": "Conditioning may be passed between nodes.", + "conditioningField": "Conditioning", + "conditioningFieldDescription": "Conditioning may be passed between nodes.", + "conditioningPolymorphic": "Conditioning Polymorphic", + "conditioningPolymorphicDescription": "Conditioning may be passed between nodes.", + "connectionWouldCreateCycle": "Connection would create a cycle", + "controlCollection": "Control Collection", + "controlCollectionDescription": "Control info passed between nodes.", + "controlField": "Control", + "controlFieldDescription": "Control info passed between nodes.", + "currentImage": "Current Image", + "currentImageDescription": "Displays the current image in the Node Editor", + "denoiseMaskField": "Denoise Mask", + "denoiseMaskFieldDescription": "Denoise Mask may be passed between nodes", + "doesNotExist": "does not exist", + "downloadWorkflow": "Download Workflow JSON", + "edge": "Edge", + "enum": "Enum", + "enumDescription": "Enums are values that may be one of a number of options.", + "executionStateCompleted": "Completed", + "executionStateError": "Error", + "executionStateInProgress": "In Progress", + "fieldTypesMustMatch": "Field types must match", + "fitViewportNodes": "Fit View", + "float": "Float", + "floatCollection": "Float Collection", + "floatCollectionDescription": "A collection of floats.", + "floatDescription": "Floats are numbers with a decimal point.", + "floatPolymorphic": "Float Polymorphic", + "floatPolymorphicDescription": "A collection of floats.", + "fullyContainNodes": "Fully Contain Nodes to Select", + "fullyContainNodesHelp": "Nodes must be fully inside the selection box to be selected", + "hideGraphNodes": "Hide Graph Overlay", + "hideLegendNodes": "Hide Field Type Legend", + "hideMinimapnodes": "Hide MiniMap", + "imageCollection": "Image Collection", + "imageCollectionDescription": "A collection of images.", + "imageField": "Image", + "imageFieldDescription": "Images may be passed between nodes.", + "imagePolymorphic": "Image Polymorphic", + "imagePolymorphicDescription": "A collection of images.", + "inputField": "Input Field", + "inputFields": "Input Fields", + "inputMayOnlyHaveOneConnection": "Input may only have one connection", + "inputNode": "Input Node", + "integer": "Integer", + "integerCollection": "Integer Collection", + "integerCollectionDescription": "A collection of integers.", + "integerDescription": "Integers are whole numbers, without a decimal point.", + "integerPolymorphic": "Integer Polymorphic", + "integerPolymorphicDescription": "A collection of integers.", + "invalidOutputSchema": "Invalid output schema", + "latentsCollection": "Latents Collection", + "latentsCollectionDescription": "Latents may be passed between nodes.", + "latentsField": "Latents", + "latentsFieldDescription": "Latents may be passed between nodes.", + "latentsPolymorphic": "Latents Polymorphic", + "latentsPolymorphicDescription": "Latents may be passed between nodes.", + "loadingNodes": "Loading Nodes...", + "loadWorkflow": "Load Workflow", + "noWorkflow": "No Workflow", + "loRAModelField": "LoRA", + "loRAModelFieldDescription": "TODO", + "mainModelField": "Model", + "mainModelFieldDescription": "TODO", + "maybeIncompatible": "May be Incompatible With Installed", + "mismatchedVersion": "Has Mismatched Version", + "missingCanvaInitImage": "Missing canvas init image", + "missingCanvaInitMaskImages": "Missing canvas init and mask images", + "missingTemplate": "Missing Template", + "noConnectionData": "No connection data", + "noConnectionInProgress": "No connection in progress", + "node": "Node", + "nodeOutputs": "Node Outputs", + "nodeSearch": "Search for nodes", + "nodeTemplate": "Node Template", + "nodeType": "Node Type", + "noFieldsLinearview": "No fields added to Linear View", + "noFieldType": "No field type", + "noImageFoundState": "No initial image found in state", + "noMatchingNodes": "No matching nodes", + "noNodeSelected": "No node selected", + "nodeOpacity": "Node Opacity", + "noOutputRecorded": "No outputs recorded", + "noOutputSchemaName": "No output schema name found in ref object", + "notes": "Notes", + "notesDescription": "Add notes about your workflow", + "oNNXModelField": "ONNX Model", + "oNNXModelFieldDescription": "ONNX model field.", + "outputField": "Output Field", + "outputFields": "Output Fields", + "outputNode": "Output node", + "outputSchemaNotFound": "Output schema not found", + "pickOne": "Pick One", + "problemReadingMetadata": "Problem reading metadata from image", + "problemReadingWorkflow": "Problem reading workflow from image", + "problemSettingTitle": "Problem Setting Title", + "reloadNodeTemplates": "Reload Node Templates", + "removeLinearView": "Remove from Linear View", + "resetWorkflow": "Reset Workflow", + "resetWorkflowDesc": "Are you sure you want to reset this workflow?", + "resetWorkflowDesc2": "Resetting the workflow will clear all nodes, edges and workflow details.", + "scheduler": "Scheduler", + "schedulerDescription": "TODO", + "sDXLMainModelField": "SDXL Model", + "sDXLMainModelFieldDescription": "SDXL model field.", + "sDXLRefinerModelField": "Refiner Model", + "sDXLRefinerModelFieldDescription": "TODO", + "showGraphNodes": "Show Graph Overlay", + "showLegendNodes": "Show Field Type Legend", + "showMinimapnodes": "Show MiniMap", + "skipped": "Skipped", + "skippedReservedInput": "Skipped reserved input field", + "skippedReservedOutput": "Skipped reserved output field", + "skippingInputNoTemplate": "Skipping input field with no template", + "skippingReservedFieldType": "Skipping reserved field type", + "skippingUnknownInputType": "Skipping unknown input field type", + "skippingUnknownOutputType": "Skipping unknown output field type", + "snapToGrid": "Snap to Grid", + "snapToGridHelp": "Snap nodes to grid when moved", + "sourceNode": "Source node", + "string": "String", + "stringCollection": "String Collection", + "stringCollectionDescription": "A collection of strings.", + "stringDescription": "Strings are text.", + "stringPolymorphic": "String Polymorphic", + "stringPolymorphicDescription": "A collection of strings.", + "unableToLoadWorkflow": "Unable to Validate Workflow", + "unableToParseEdge": "Unable to parse edge", + "unableToParseNode": "Unable to parse node", + "unableToValidateWorkflow": "Unable to Validate Workflow", + "uNetField": "UNet", + "uNetFieldDescription": "UNet submodel.", + "unhandledInputProperty": "Unhandled input property", + "unhandledOutputProperty": "Unhandled output property", + "unknownField": "Unknown Field", + "unknownNode": "Unknown Node", + "unknownTemplate": "Unknown Template", + "unkownInvocation": "Unknown Invocation type", + "updateNode": "Update Node", + "updateApp": "Update App", + "vaeField": "Vae", + "vaeFieldDescription": "Vae submodel.", + "vaeModelField": "VAE", + "vaeModelFieldDescription": "TODO", + "validateConnections": "Validate Connections and Graph", + "validateConnectionsHelp": "Prevent invalid connections from being made, and invalid graphs from being invoked", + "version": "Version", + "versionUnknown": " Version Unknown", + "workflow": "Workflow", + "workflowAuthor": "Author", + "workflowContact": "Contact", + "workflowDescription": "Short Description", + "workflowName": "Name", + "workflowNotes": "Notes", + "workflowSettings": "Workflow Editor Settings", + "workflowTags": "Tags", + "workflowValidation": "Workflow Validation Error", + "workflowVersion": "Version", + "zoomInNodes": "Zoom In", + "zoomOutNodes": "Zoom Out" }, "parameters": { - "general": "General", - "images": "Images", - "steps": "Steps", - "cfgScale": "CFG Scale", - "width": "Width", - "height": "Height", - "scheduler": "Scheduler", - "seed": "Seed", - "boundingBoxWidth": "Bounding Box Width", + "aspectRatio": "Aspect Ratio", + "boundingBoxHeader": "Bounding Box", "boundingBoxHeight": "Bounding Box Height", - "imageToImage": "Image to Image", - "randomizeSeed": "Randomize Seed", - "shuffle": "Shuffle Seed", - "noiseThreshold": "Noise Threshold", - "perlinNoise": "Perlin Noise", - "noiseSettings": "Noise", - "variations": "Variations", - "variationAmount": "Variation Amount", - "seedWeights": "Seed Weights", - "faceRestoration": "Face Restoration", - "restoreFaces": "Restore Faces", - "type": "Type", - "strength": "Strength", - "upscaling": "Upscaling", - "upscale": "Upscale", - "upscaleImage": "Upscale Image", + "boundingBoxWidth": "Bounding Box Width", + "cancel": { + "cancel": "Cancel", + "immediate": "Cancel immediately", + "isScheduled": "Canceling", + "schedule": "Cancel after current iteration", + "setType": "Set cancel type" + }, + "cfgScale": "CFG Scale", + "clipSkip": "CLIP Skip", + "clipSkipWithLayerCount": "CLIP Skip {{layerCount}}", + "closeViewer": "Close Viewer", + "codeformerFidelity": "Fidelity", + "coherenceMode": "Mode", + "coherencePassHeader": "Coherence Pass", + "coherenceSteps": "Steps", + "coherenceStrength": "Strength", + "compositingSettingsHeader": "Compositing Settings", + "controlNetControlMode": "Control Mode", + "copyImage": "Copy Image", + "copyImageToLink": "Copy Image To Link", "denoisingStrength": "Denoising Strength", - "scale": "Scale", - "otherOptions": "Other Options", - "seamlessTiling": "Seamless Tiling", - "seamlessXAxis": "X Axis", - "seamlessYAxis": "Y Axis", + "downloadImage": "Download Image", + "enableNoiseSettings": "Enable Noise Settings", + "faceRestoration": "Face Restoration", + "general": "General", + "height": "Height", + "hidePreview": "Hide Preview", "hiresOptim": "High Res Optimization", "hiresStrength": "High Res Strength", + "hSymmetryStep": "H Symmetry Step", "imageFit": "Fit Initial Image To Output Size", - "codeformerFidelity": "Fidelity", - "compositingSettingsHeader": "Compositing Settings", + "images": "Images", + "imageToImage": "Image to Image", + "img2imgStrength": "Image To Image Strength", + "infillMethod": "Infill Method", + "infillScalingHeader": "Infill and Scaling", + "info": "Info", + "initialImage": "Initial Image", + "invoke": { + "addingImagesTo": "Adding images to", + "invoke": "Invoke", + "missingFieldTemplate": "Missing field template", + "missingInputForField": "{{nodeLabel}} -> {{fieldLabel}} missing input", + "missingNodeTemplate": "Missing node template", + "noControlImageForControlNet": "ControlNet {{index}} has no control image", + "noInitialImageSelected": "No initial image selected", + "noModelForControlNet": "ControlNet {{index}} has no model selected.", + "noModelSelected": "No model selected", + "noPrompts": "No prompts generated", + "noNodesInGraph": "No nodes in graph", + "readyToInvoke": "Ready to Invoke", + "systemBusy": "System busy", + "systemDisconnected": "System disconnected", + "unableToInvoke": "Unable to Invoke" + }, "maskAdjustmentsHeader": "Mask Adjustments", "maskBlur": "Blur", "maskBlurMethod": "Blur Method", - "coherencePassHeader": "Coherence Pass", - "coherenceMode": "Mode", - "coherenceSteps": "Steps", - "coherenceStrength": "Strength", - "seamLowThreshold": "Low", - "seamHighThreshold": "High", - "scaleBeforeProcessing": "Scale Before Processing", - "scaledWidth": "Scaled W", - "scaledHeight": "Scaled H", - "infillMethod": "Infill Method", - "tileSize": "Tile Size", - "patchmatchDownScaleSize": "Downscale", - "boundingBoxHeader": "Bounding Box", - "seamCorrectionHeader": "Seam Correction", - "infillScalingHeader": "Infill and Scaling", - "img2imgStrength": "Image To Image Strength", - "toggleLoopback": "Toggle Loopback", - "symmetry": "Symmetry", - "hSymmetryStep": "H Symmetry Step", - "vSymmetryStep": "V Symmetry Step", - "invoke": "Invoke", - "cancel": { - "immediate": "Cancel immediately", - "schedule": "Cancel after current iteration", - "isScheduled": "Canceling", - "setType": "Set cancel type" - }, - "positivePromptPlaceholder": "Positive Prompt", "negativePromptPlaceholder": "Negative Prompt", + "noiseSettings": "Noise", + "noiseThreshold": "Noise Threshold", + "openInViewer": "Open In Viewer", + "otherOptions": "Other Options", + "patchmatchDownScaleSize": "Downscale", + "perlinNoise": "Perlin Noise", + "positivePromptPlaceholder": "Positive Prompt", + "randomizeSeed": "Randomize Seed", + "manualSeed": "Manual Seed", + "randomSeed": "Random Seed", + "restoreFaces": "Restore Faces", + "iterations": "Iterations", + "iterationsWithCount_one": "{{count}} Iteration", + "iterationsWithCount_other": "{{count}} Iterations", + "scale": "Scale", + "scaleBeforeProcessing": "Scale Before Processing", + "scaledHeight": "Scaled H", + "scaledWidth": "Scaled W", + "scheduler": "Scheduler", + "seamCorrectionHeader": "Seam Correction", + "seamHighThreshold": "High", + "seamlessTiling": "Seamless Tiling", + "seamlessXAxis": "X Axis", + "seamlessYAxis": "Y Axis", + "seamlessX": "Seamless X", + "seamlessY": "Seamless Y", + "seamlessX&Y": "Seamless X & Y", + "seamLowThreshold": "Low", + "seed": "Seed", + "seedWeights": "Seed Weights", + "imageActions": "Image Actions", "sendTo": "Send to", "sendToImg2Img": "Send to Image to Image", "sendToUnifiedCanvas": "Send To Unified Canvas", - "copyImage": "Copy Image", - "copyImageToLink": "Copy Image To Link", - "downloadImage": "Download Image", - "openInViewer": "Open In Viewer", - "closeViewer": "Close Viewer", + "showOptionsPanel": "Show Side Panel (O or T)", + "showPreview": "Show Preview", + "shuffle": "Shuffle Seed", + "steps": "Steps", + "strength": "Strength", + "symmetry": "Symmetry", + "tileSize": "Tile Size", + "toggleLoopback": "Toggle Loopback", + "type": "Type", + "upscale": "Upscale (Shift + U)", + "upscaleImage": "Upscale Image", + "upscaling": "Upscaling", + "useAll": "Use All", + "useCpuNoise": "Use CPU Noise", + "cpuNoise": "CPU Noise", + "gpuNoise": "GPU Noise", + "useInitImg": "Use Initial Image", "usePrompt": "Use Prompt", "useSeed": "Use Seed", - "useAll": "Use All", - "useInitImg": "Use Initial Image", - "info": "Info", - "initialImage": "Initial Image", - "showOptionsPanel": "Show Options Panel", - "hidePreview": "Hide Preview", - "showPreview": "Show Preview", - "controlNetControlMode": "Control Mode", - "clipSkip": "CLIP Skip", - "aspectRatio": "Ratio" + "variationAmount": "Variation Amount", + "variations": "Variations", + "vSymmetryStep": "V Symmetry Step", + "width": "Width" + }, + "dynamicPrompts": { + "combinatorial": "Combinatorial Generation", + "dynamicPrompts": "Dynamic Prompts", + "enableDynamicPrompts": "Enable Dynamic Prompts", + "maxPrompts": "Max Prompts", + "promptsWithCount_one": "{{count}} Prompt", + "promptsWithCount_other": "{{count}} Prompts", + "seedBehaviour": { + "label": "Seed Behaviour", + "perIterationLabel": "Seed per Iteration", + "perIterationDesc": "Use a different seed for each iteration", + "perPromptLabel": "Seed per Image", + "perPromptDesc": "Use a different seed for each image" + } + }, + "sdxl": { + "cfgScale": "CFG Scale", + "concatPromptStyle": "Concatenate Prompt & Style", + "denoisingStrength": "Denoising Strength", + "loading": "Loading...", + "negAestheticScore": "Negative Aesthetic Score", + "negStylePrompt": "Negative Style Prompt", + "noModelsAvailable": "No models available", + "posAestheticScore": "Positive Aesthetic Score", + "posStylePrompt": "Positive Style Prompt", + "refiner": "Refiner", + "refinermodel": "Refiner Model", + "refinerStart": "Refiner Start", + "scheduler": "Scheduler", + "selectAModel": "Select a model", + "steps": "Steps", + "useRefiner": "Use Refiner" }, "settings": { - "models": "Models", - "displayInProgress": "Display Progress Images", - "saveSteps": "Save images every n steps", - "confirmOnDelete": "Confirm On Delete", - "displayHelpIcons": "Display Help Icons", "alternateCanvasLayout": "Alternate Canvas Layout", - "enableNodesEditor": "Enable Nodes Editor", - "enableImageDebugging": "Enable Image Debugging", - "useSlidersForAll": "Use Sliders For All Options", - "showProgressInViewer": "Show Progress Images in Viewer", "antialiasProgressImages": "Antialias Progress Images", "autoChangeDimensions": "Update W/H To Model Defaults On Change", + "beta": "Beta", + "confirmOnDelete": "Confirm On Delete", + "consoleLogLevel": "Log Level", + "developer": "Developer", + "displayHelpIcons": "Display Help Icons", + "displayInProgress": "Display Progress Images", + "enableImageDebugging": "Enable Image Debugging", + "enableNodesEditor": "Enable Nodes Editor", + "experimental": "Experimental", + "favoriteSchedulers": "Favorite Schedulers", + "favoriteSchedulersPlaceholder": "No schedulers favorited", + "general": "General", + "generation": "Generation", + "models": "Models", + "resetComplete": "Web UI has been reset.", "resetWebUI": "Reset Web UI", "resetWebUIDesc1": "Resetting the web UI only resets the browser's local cache of your images and remembered settings. It does not delete any images from disk.", "resetWebUIDesc2": "If images aren't showing up in the gallery or something else isn't working, please try resetting before submitting an issue on GitHub.", - "resetComplete": "Web UI has been reset.", - "consoleLogLevel": "Log Level", + "saveSteps": "Save images every n steps", "shouldLogToConsole": "Console Logging", - "developer": "Developer", - "general": "General", - "generation": "Generation", - "ui": "User Interface", - "favoriteSchedulers": "Favorite Schedulers", - "favoriteSchedulersPlaceholder": "No schedulers favorited", "showAdvancedOptions": "Show Advanced Options", - "experimental": "Experimental", - "beta": "Beta" + "showProgressInViewer": "Show Progress Images in Viewer", + "ui": "User Interface", + "useSlidersForAll": "Use Sliders For All Options" }, "toast": { - "serverError": "Server Error", - "disconnected": "Disconnected from Server", - "connected": "Connected to Server", + "addedToBoard": "Added to board", + "baseModelChangedCleared": "Base model changed, cleared", "canceled": "Processing Canceled", - "tempFoldersEmptied": "Temp Folder Emptied", - "uploadFailed": "Upload failed", - "uploadFailedUnableToLoadDesc": "Unable to load file", - "uploadFailedInvalidUploadDesc": "Must be single PNG or JPEG image", + "canvasCopiedClipboard": "Canvas Copied to Clipboard", + "canvasDownloaded": "Canvas Downloaded", + "canvasMerged": "Canvas Merged", + "canvasSavedGallery": "Canvas Saved to Gallery", + "canvasSentControlnetAssets": "Canvas Sent to ControlNet & Assets", + "connected": "Connected to Server", + "disconnected": "Disconnected from Server", "downloadImageStarted": "Image Download Started", + "faceRestoreFailed": "Face Restoration Failed", "imageCopied": "Image Copied", - "problemCopyingImage": "Unable to Copy Image", "imageLinkCopied": "Image Link Copied", - "problemCopyingImageLink": "Unable to Copy Image Link", "imageNotLoaded": "No Image Loaded", "imageNotLoadedDesc": "Could not find image", + "imageSaved": "Image Saved", "imageSavedToGallery": "Image Saved to Gallery", - "canvasMerged": "Canvas Merged", - "sentToImageToImage": "Sent To Image To Image", - "sentToUnifiedCanvas": "Sent to Unified Canvas", - "parameterSet": "Parameter set", - "parameterNotSet": "Parameter not set", - "parametersSet": "Parameters Set", - "parametersNotSet": "Parameters Not Set", - "parametersNotSetDesc": "No metadata found for this image.", - "parametersFailed": "Problem loading parameters", - "parametersFailedDesc": "Unable to load init image.", - "seedSet": "Seed Set", - "seedNotSet": "Seed Not Set", - "seedNotSetDesc": "Could not find seed for this image.", - "promptSet": "Prompt Set", - "promptNotSet": "Prompt Not Set", - "promptNotSetDesc": "Could not find prompt for this image.", - "upscalingFailed": "Upscaling Failed", - "faceRestoreFailed": "Face Restoration Failed", - "metadataLoadFailed": "Failed to load metadata", - "initialImageSet": "Initial Image Set", + "imageSavingFailed": "Image Saving Failed", + "imageUploaded": "Image Uploaded", + "imageUploadFailed": "Image Upload Failed", + "incompatibleSubmodel": "incompatible submodel", "initialImageNotSet": "Initial Image Not Set", "initialImageNotSetDesc": "Could not load initial image", - "nodesSaved": "Nodes Saved", + "initialImageSet": "Initial Image Set", + "loadedWithWarnings": "Workflow Loaded with Warnings", + "maskSavedAssets": "Mask Saved to Assets", + "maskSentControlnetAssets": "Mask Sent to ControlNet & Assets", + "metadataLoadFailed": "Failed to load metadata", + "modelAdded": "Model Added: {{modelName}}", + "modelAddedSimple": "Model Added", + "modelAddFailed": "Model Add Failed", + "nodesBrokenConnections": "Cannot load. Some connections are broken.", + "nodesCleared": "Nodes Cleared", + "nodesCorruptedGraph": "Cannot load. Graph seems to be corrupted.", "nodesLoaded": "Nodes Loaded", + "nodesLoadedFailed": "Failed To Load Nodes", "nodesNotValidGraph": "Not a valid InvokeAI Node Graph", "nodesNotValidJSON": "Not a valid JSON", - "nodesCorruptedGraph": "Cannot load. Graph seems to be corrupted.", + "nodesSaved": "Nodes Saved", "nodesUnrecognizedTypes": "Cannot load. Graph has unrecognized types", - "nodesBrokenConnections": "Cannot load. Some connections are broken.", - "nodesLoadedFailed": "Failed To Load Nodes", - "nodesCleared": "Nodes Cleared" + "parameterNotSet": "Parameter not set", + "parameterSet": "Parameter set", + "parametersFailed": "Problem loading parameters", + "parametersFailedDesc": "Unable to load init image.", + "parametersNotSet": "Parameters Not Set", + "parametersNotSetDesc": "No metadata found for this image.", + "parametersSet": "Parameters Set", + "problemCopyingCanvas": "Problem Copying Canvas", + "problemCopyingCanvasDesc": "Unable to export base layer", + "problemCopyingImage": "Unable to Copy Image", + "problemCopyingImageLink": "Unable to Copy Image Link", + "problemDownloadingCanvas": "Problem Downloading Canvas", + "problemDownloadingCanvasDesc": "Unable to export base layer", + "problemImportingMask": "Problem Importing Mask", + "problemImportingMaskDesc": "Unable to export mask", + "problemMergingCanvas": "Problem Merging Canvas", + "problemMergingCanvasDesc": "Unable to export base layer", + "problemSavingCanvas": "Problem Saving Canvas", + "problemSavingCanvasDesc": "Unable to export base layer", + "problemSavingMask": "Problem Saving Mask", + "problemSavingMaskDesc": "Unable to export mask", + "promptNotSet": "Prompt Not Set", + "promptNotSetDesc": "Could not find prompt for this image.", + "promptSet": "Prompt Set", + "seedNotSet": "Seed Not Set", + "seedNotSetDesc": "Could not find seed for this image.", + "seedSet": "Seed Set", + "sentToImageToImage": "Sent To Image To Image", + "sentToUnifiedCanvas": "Sent to Unified Canvas", + "serverError": "Server Error", + "setCanvasInitialImage": "Set as canvas initial image", + "setControlImage": "Set as control image", + "setIPAdapterImage": "Set as IP Adapter Image", + "setInitialImage": "Set as initial image", + "setNodeField": "Set as node field", + "tempFoldersEmptied": "Temp Folder Emptied", + "uploadFailed": "Upload failed", + "uploadFailedInvalidUploadDesc": "Must be single PNG or JPEG image", + "uploadFailedUnableToLoadDesc": "Unable to load file", + "upscalingFailed": "Upscaling Failed", + "workflowLoaded": "Workflow Loaded" }, "tooltip": { "feature": { - "prompt": "This is the prompt field. Prompt includes generation objects and stylistic terms. You can add weight (token importance) in the prompt as well, but CLI commands and parameters will not work.", - "gallery": "Gallery displays generations from the outputs folder as they're created. Settings are stored within files and accesed by context menu.", - "other": "These options will enable alternative processing modes for Invoke. 'Seamless tiling' will create repeating patterns in the output. 'High resolution' is generation in two steps with img2img: use this setting when you want a larger and more coherent image without artifacts. It will take longer than usual txt2img.", - "seed": "Seed value affects the initial noise from which the image is formed. You can use the already existing seeds from previous images. 'Noise Threshold' is used to mitigate artifacts at high CFG values (try the 0-10 range), and Perlin to add Perlin noise during generation: both serve to add variation to your outputs.", - "variations": "Try a variation with a value between 0.1 and 1.0 to change the result for a given seed. Interesting variations of the seed are between 0.1 and 0.3.", - "upscale": "Use ESRGAN to enlarge the image immediately after generation.", - "faceCorrection": "Face correction with GFPGAN or Codeformer: the algorithm detects faces in the image and corrects any defects. High value will change the image more, resulting in more attractive faces. Codeformer with a higher fidelity preserves the original image at the expense of stronger face correction.", - "imageToImage": "Image to Image loads any image as initial, which is then used to generate a new one along with the prompt. The higher the value, the more the result image will change. Values from 0.0 to 1.0 are possible, the recommended range is .25-.75", "boundingBox": "The bounding box is the same as the Width and Height settings for Text to Image or Image to Image. Only the area in the box will be processed.", + "faceCorrection": "Face correction with GFPGAN or Codeformer: the algorithm detects faces in the image and corrects any defects. High value will change the image more, resulting in more attractive faces. Codeformer with a higher fidelity preserves the original image at the expense of stronger face correction.", + "gallery": "Gallery displays generations from the outputs folder as they're created. Settings are stored within files and accesed by context menu.", + "imageToImage": "Image to Image loads any image as initial, which is then used to generate a new one along with the prompt. The higher the value, the more the result image will change. Values from 0.0 to 1.0 are possible, the recommended range is .25-.75", + "infillAndScaling": "Manage infill methods (used on masked or erased areas of the canvas) and scaling (useful for small bounding box sizes).", + "other": "These options will enable alternative processing modes for Invoke. 'Seamless tiling' will create repeating patterns in the output. 'High resolution' is generation in two steps with img2img: use this setting when you want a larger and more coherent image without artifacts. It will take longer than usual txt2img.", + "prompt": "This is the prompt field. Prompt includes generation objects and stylistic terms. You can add weight (token importance) in the prompt as well, but CLI commands and parameters will not work.", "seamCorrection": "Controls the handling of visible seams that occur between generated images on the canvas.", - "infillAndScaling": "Manage infill methods (used on masked or erased areas of the canvas) and scaling (useful for small bounding box sizes)." + "seed": "Seed value affects the initial noise from which the image is formed. You can use the already existing seeds from previous images. 'Noise Threshold' is used to mitigate artifacts at high CFG values (try the 0-10 range), and Perlin to add Perlin noise during generation: both serve to add variation to your outputs.", + "upscale": "Use ESRGAN to enlarge the image immediately after generation.", + "variations": "Try a variation with a value between 0.1 and 1.0 to change the result for a given seed. Interesting variations of the seed are between 0.1 and 0.3." } }, + "popovers": { + "clipSkip": { + "heading": "CLIP Skip", + "paragraphs": [ + "Choose how many layers of the CLIP model to skip.", + "Some models work better with certain CLIP Skip settings.", + "A higher value typically results in a less detailed image." + ] + }, + "paramNegativeConditioning": { + "heading": "Negative Prompt", + "paragraphs": [ + "The generation process avoids the concepts in the negative prompt. Use this to exclude qualities or objects from the output.", + "Supports Compel syntax and embeddings." + ] + }, + "paramPositiveConditioning": { + "heading": "Positive Prompt", + "paragraphs": [ + "Guides the generation process. You may use any words or phrases.", + "Compel and Dynamic Prompts syntaxes and embeddings." + ] + }, + "paramScheduler": { + "heading": "Scheduler", + "paragraphs": [ + "Scheduler defines how to iteratively add noise to an image or how to update a sample based on a model's output." + ] + }, + "compositingBlur": { + "heading": "Blur", + "paragraphs": ["The blur radius of the mask."] + }, + "compositingBlurMethod": { + "heading": "Blur Method", + "paragraphs": ["The method of blur applied to the masked area."] + }, + "compositingCoherencePass": { + "heading": "Coherence Pass", + "paragraphs": [ + "A second round of denoising helps to composite the Inpainted/Outpainted image." + ] + }, + "compositingCoherenceMode": { + "heading": "Mode", + "paragraphs": ["The mode of the Coherence Pass."] + }, + "compositingCoherenceSteps": { + "heading": "Steps", + "paragraphs": [ + "Number of denoising steps used in the Coherence Pass.", + "Same as the main Steps parameter." + ] + }, + "compositingStrength": { + "heading": "Strength", + "paragraphs": [ + "Denoising strength for the Coherence Pass.", + "Same as the Image to Image Denoising Strength parameter." + ] + }, + "compositingMaskAdjustments": { + "heading": "Mask Adjustments", + "paragraphs": ["Adjust the mask."] + }, + "controlNetBeginEnd": { + "heading": "Begin / End Step Percentage", + "paragraphs": [ + "Which steps of the denoising process will have the ControlNet applied.", + "ControlNets applied at the beginning of the process guide composition, and ControlNets applied at the end guide details." + ] + }, + "controlNetControlMode": { + "heading": "Control Mode", + "paragraphs": [ + "Lends more weight to either the prompt or ControlNet." + ] + }, + "controlNetResizeMode": { + "heading": "Resize Mode", + "paragraphs": [ + "How the ControlNet image will be fit to the image output size." + ] + }, + "controlNet": { + "heading": "ControlNet", + "paragraphs": [ + "ControlNets provide guidance to the generation process, helping create images with controlled composition, structure, or style, depending on the model selected." + ] + }, + "controlNetWeight": { + "heading": "Weight", + "paragraphs": [ + "How strongly the ControlNet will impact the generated image." + ] + }, + "dynamicPrompts": { + "heading": "Dynamic Prompts", + "paragraphs": [ + "Dynamic Prompts parses a single prompt into many.", + "The basic syntax is \"a {red|green|blue} ball\". This will produce three prompts: \"a red ball\", \"a green ball\" and \"a blue ball\".", + "You can use the syntax as many times as you like in a single prompt, but be sure to keep the number of prompts generated in check with the Max Prompts setting." + ] + }, + "dynamicPromptsMaxPrompts": { + "heading": "Max Prompts", + "paragraphs": [ + "Limits the number of prompts that can be generated by Dynamic Prompts." + ] + }, + "dynamicPromptsSeedBehaviour": { + "heading": "Seed Behaviour", + "paragraphs": [ + "Controls how the seed is used when generating prompts.", + "Per Iteration will use a unique seed for each iteration. Use this to explore prompt variations on a single seed.", + "For example, if you have 5 prompts, each image will use the same seed.", + "Per Image will use a unique seed for each image. This provides more variation." + ] + }, + "infillMethod": { + "heading": "Infill Method", + "paragraphs": ["Method to infill the selected area."] + }, + "lora": { + "heading": "LoRA Weight", + "paragraphs": [ + "Higher LoRA weight will lead to larger impacts on the final image." + ] + }, + "noiseUseCPU": { + "heading": "Use CPU Noise", + "paragraphs": [ + "Controls whether noise is generated on the CPU or GPU.", + "With CPU Noise enabled, a particular seed will produce the same image on any machine.", + "There is no performance impact to enabling CPU Noise." + ] + }, + "paramCFGScale": { + "heading": "CFG Scale", + "paragraphs": [ + "Controls how much your prompt influences the generation process." + ] + }, + "paramDenoisingStrength": { + "heading": "Denoising Strength", + "paragraphs": [ + "How much noise is added to the input image.", + "0 will result in an identical image, while 1 will result in a completely new image." + ] + }, + "paramIterations": { + "heading": "Iterations", + "paragraphs": [ + "The number of images to generate.", + "If Dynamic Prompts is enabled, each of the prompts will be generated this many times." + ] + }, + "paramModel": { + "heading": "Model", + "paragraphs": [ + "Model used for the denoising steps.", + "Different models are typically trained to specialize in producing particular aesthetic results and content." + ] + }, + "paramRatio": { + "heading": "Aspect Ratio", + "paragraphs": [ + "The aspect ratio of the dimensions of the image generated.", + "An image size (in number of pixels) equivalent to 512x512 is recommended for SD1.5 models and a size equivalent to 1024x1024 is recommended for SDXL models." + ] + }, + "paramSeed": { + "heading": "Seed", + "paragraphs": [ + "Controls the starting noise used for generation.", + "Disable “Random Seed” to produce identical results with the same generation settings." + ] + }, + "paramSteps": { + "heading": "Steps", + "paragraphs": [ + "Number of steps that will be performed in each generation.", + "Higher step counts will typically create better images but will require more generation time." + ] + }, + "paramVAE": { + "heading": "VAE", + "paragraphs": [ + "Model used for translating AI output into the final image." + ] + }, + "paramVAEPrecision": { + "heading": "VAE Precision", + "paragraphs": [ + "The precision used during VAE encoding and decoding. FP16/half precision is more efficient, at the expense of minor image variations." + ] + }, + "scaleBeforeProcessing": { + "heading": "Scale Before Processing", + "paragraphs": [ + "Scales the selected area to the size best suited for the model before the image generation process." + ] + } + }, + "ui": { + "hideProgressImages": "Hide Progress Images", + "lockRatio": "Lock Ratio", + "showProgressImages": "Show Progress Images", + "swapSizes": "Swap Sizes" + }, "unifiedCanvas": { - "layer": "Layer", - "base": "Base", - "mask": "Mask", - "maskingOptions": "Masking Options", - "enableMask": "Enable Mask", - "preserveMaskedArea": "Preserve Masked Area", - "clearMask": "Clear Mask", - "brush": "Brush", - "eraser": "Eraser", - "fillBoundingBox": "Fill Bounding Box", - "eraseBoundingBox": "Erase Bounding Box", - "colorPicker": "Color Picker", - "brushOptions": "Brush Options", - "brushSize": "Size", - "move": "Move", - "resetView": "Reset View", - "mergeVisible": "Merge Visible", - "saveToGallery": "Save To Gallery", - "copyToClipboard": "Copy to Clipboard", - "downloadAsImage": "Download As Image", - "undo": "Undo", - "redo": "Redo", - "clearCanvas": "Clear Canvas", - "canvasSettings": "Canvas Settings", - "showIntermediates": "Show Intermediates", - "showGrid": "Show Grid", - "snapToGrid": "Snap to Grid", - "darkenOutsideSelection": "Darken Outside Selection", - "autoSaveToGallery": "Auto Save to Gallery", - "saveBoxRegionOnly": "Save Box Region Only", - "limitStrokesToBox": "Limit Strokes to Box", - "showCanvasDebugInfo": "Show Additional Canvas Info", - "clearCanvasHistory": "Clear Canvas History", - "clearHistory": "Clear History", - "clearCanvasHistoryMessage": "Clearing the canvas history leaves your current canvas intact, but irreversibly clears the undo and redo history.", - "clearCanvasHistoryConfirm": "Are you sure you want to clear the canvas history?", - "emptyTempImageFolder": "Empty Temp Image Folder", - "emptyFolder": "Empty Folder", - "emptyTempImagesFolderMessage": "Emptying the temp image folder also fully resets the Unified Canvas. This includes all undo/redo history, images in the staging area, and the canvas base layer.", - "emptyTempImagesFolderConfirm": "Are you sure you want to empty the temp folder?", - "activeLayer": "Active Layer", - "canvasScale": "Canvas Scale", - "boundingBox": "Bounding Box", - "scaledBoundingBox": "Scaled Bounding Box", - "boundingBoxPosition": "Bounding Box Position", - "canvasDimensions": "Canvas Dimensions", - "canvasPosition": "Canvas Position", - "cursorPosition": "Cursor Position", - "previous": "Previous", - "next": "Next", "accept": "Accept", - "showHide": "Show/Hide", - "discardAll": "Discard All", + "activeLayer": "Active Layer", + "antialiasing": "Antialiasing", + "autoSaveToGallery": "Auto Save to Gallery", + "base": "Base", "betaClear": "Clear", "betaDarkenOutside": "Darken Outside", "betaLimitToBox": "Limit To Box", "betaPreserveMasked": "Preserve Masked", - "antialiasing": "Antialiasing" - }, - "ui": { - "showProgressImages": "Show Progress Images", - "hideProgressImages": "Hide Progress Images", - "swapSizes": "Swap Sizes", - "lockRatio": "Lock Ratio" - }, - "nodes": { - "reloadNodeTemplates": "Reload Node Templates", - "downloadWorkflow": "Download Workflow JSON", - "loadWorkflow": "Load Workflow", - "resetWorkflow": "Reset Workflow", - "resetWorkflowDesc": "Are you sure you want to reset this workflow?", - "resetWorkflowDesc2": "Resetting the workflow will clear all nodes, edges and workflow details.", - "zoomInNodes": "Zoom In", - "zoomOutNodes": "Zoom Out", - "fitViewportNodes": "Fit View", - "hideGraphNodes": "Hide Graph Overlay", - "showGraphNodes": "Show Graph Overlay", - "hideLegendNodes": "Hide Field Type Legend", - "showLegendNodes": "Show Field Type Legend", - "hideMinimapnodes": "Hide MiniMap", - "showMinimapnodes": "Show MiniMap" + "boundingBox": "Bounding Box", + "boundingBoxPosition": "Bounding Box Position", + "brush": "Brush", + "brushOptions": "Brush Options", + "brushSize": "Size", + "canvasDimensions": "Canvas Dimensions", + "canvasPosition": "Canvas Position", + "canvasScale": "Canvas Scale", + "canvasSettings": "Canvas Settings", + "clearCanvas": "Clear Canvas", + "clearCanvasHistory": "Clear Canvas History", + "clearCanvasHistoryConfirm": "Are you sure you want to clear the canvas history?", + "clearCanvasHistoryMessage": "Clearing the canvas history leaves your current canvas intact, but irreversibly clears the undo and redo history.", + "clearHistory": "Clear History", + "clearMask": "Clear Mask", + "colorPicker": "Color Picker", + "copyToClipboard": "Copy to Clipboard", + "cursorPosition": "Cursor Position", + "darkenOutsideSelection": "Darken Outside Selection", + "discardAll": "Discard All", + "downloadAsImage": "Download As Image", + "emptyFolder": "Empty Folder", + "emptyTempImageFolder": "Empty Temp Image Folder", + "emptyTempImagesFolderConfirm": "Are you sure you want to empty the temp folder?", + "emptyTempImagesFolderMessage": "Emptying the temp image folder also fully resets the Unified Canvas. This includes all undo/redo history, images in the staging area, and the canvas base layer.", + "enableMask": "Enable Mask", + "eraseBoundingBox": "Erase Bounding Box", + "eraser": "Eraser", + "fillBoundingBox": "Fill Bounding Box", + "layer": "Layer", + "limitStrokesToBox": "Limit Strokes to Box", + "mask": "Mask", + "maskingOptions": "Masking Options", + "mergeVisible": "Merge Visible", + "move": "Move", + "next": "Next", + "preserveMaskedArea": "Preserve Masked Area", + "previous": "Previous", + "redo": "Redo", + "resetView": "Reset View", + "saveBoxRegionOnly": "Save Box Region Only", + "saveToGallery": "Save To Gallery", + "scaledBoundingBox": "Scaled Bounding Box", + "showCanvasDebugInfo": "Show Additional Canvas Info", + "showGrid": "Show Grid", + "showHide": "Show/Hide", + "showIntermediates": "Show Intermediates", + "snapToGrid": "Snap to Grid", + "undo": "Undo" } } diff --git a/invokeai/frontend/web/src/app/components/App.tsx b/invokeai/frontend/web/src/app/components/App.tsx index a70ed03fda..b3ffeee333 100644 --- a/invokeai/frontend/web/src/app/components/App.tsx +++ b/invokeai/frontend/web/src/app/components/App.tsx @@ -12,34 +12,32 @@ import { languageSelector } from 'features/system/store/systemSelectors'; import InvokeTabs from 'features/ui/components/InvokeTabs'; import i18n from 'i18n'; import { size } from 'lodash-es'; -import { ReactNode, memo, useCallback, useEffect } from 'react'; +import { memo, useCallback, useEffect } from 'react'; import { ErrorBoundary } from 'react-error-boundary'; import { usePreselectedImage } from '../../features/parameters/hooks/usePreselectedImage'; import AppErrorBoundaryFallback from './AppErrorBoundaryFallback'; import GlobalHotkeys from './GlobalHotkeys'; import Toaster from './Toaster'; +import { useStore } from '@nanostores/react'; +import { $headerComponent } from 'app/store/nanostores/headerComponent'; const DEFAULT_CONFIG = {}; interface Props { config?: PartialAppConfig; - headerComponent?: ReactNode; selectedImage?: { imageName: string; action: 'sendToImg2Img' | 'sendToCanvas' | 'useAllParameters'; }; } -const App = ({ - config = DEFAULT_CONFIG, - headerComponent, - selectedImage, -}: Props) => { +const App = ({ config = DEFAULT_CONFIG, selectedImage }: Props) => { const language = useAppSelector(languageSelector); const logger = useLogger('system'); const dispatch = useAppDispatch(); - const { handlePreselectedImage } = usePreselectedImage(); + const { handleSendToCanvas, handleSendToImg2Img, handleUseAllMetadata } = + usePreselectedImage(selectedImage?.imageName); const handleReset = useCallback(() => { localStorage.clear(); location.reload(); @@ -62,8 +60,24 @@ const App = ({ }, [dispatch]); useEffect(() => { - handlePreselectedImage(selectedImage); - }, [handlePreselectedImage, selectedImage]); + if (selectedImage && selectedImage.action === 'sendToCanvas') { + handleSendToCanvas(); + } + }, [selectedImage, handleSendToCanvas]); + + useEffect(() => { + if (selectedImage && selectedImage.action === 'sendToImg2Img') { + handleSendToImg2Img(); + } + }, [selectedImage, handleSendToImg2Img]); + + useEffect(() => { + if (selectedImage && selectedImage.action === 'useAllParameters') { + handleUseAllMetadata(); + } + }, [selectedImage, handleUseAllMetadata]); + + const headerComponent = useStore($headerComponent); return ( { - const { isUploading } = system; - - let tooltip = ''; - - if (isUploading) { - tooltip = 'Uploading...'; - } - - return { - tooltip, - shouldShow: isUploading, - }; -}); - -export const AuxiliaryProgressIndicator = () => { - const { shouldShow, tooltip } = useAppSelector(selector); - - if (!shouldShow) { - return null; - } - - return ( - - - - - - ); -}; - -export default memo(AuxiliaryProgressIndicator); diff --git a/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts b/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts index ac48fcc7b1..c77dfd5d86 100644 --- a/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts +++ b/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts @@ -1,6 +1,8 @@ import { createSelector } from '@reduxjs/toolkit'; import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useQueueBack } from 'features/queue/hooks/useQueueBack'; +import { useQueueFront } from 'features/queue/hooks/useQueueFront'; import { ctrlKeyPressed, metaKeyPressed, @@ -33,6 +35,39 @@ const globalHotkeysSelector = createSelector( const GlobalHotkeys: React.FC = () => { const dispatch = useAppDispatch(); const { shift, ctrl, meta } = useAppSelector(globalHotkeysSelector); + const { + queueBack, + isDisabled: isDisabledQueueBack, + isLoading: isLoadingQueueBack, + } = useQueueBack(); + + useHotkeys( + ['ctrl+enter', 'meta+enter'], + queueBack, + { + enabled: () => !isDisabledQueueBack && !isLoadingQueueBack, + preventDefault: true, + enableOnFormTags: ['input', 'textarea', 'select'], + }, + [queueBack, isDisabledQueueBack, isLoadingQueueBack] + ); + + const { + queueFront, + isDisabled: isDisabledQueueFront, + isLoading: isLoadingQueueFront, + } = useQueueFront(); + + useHotkeys( + ['ctrl+shift+enter', 'meta+shift+enter'], + queueFront, + { + enabled: () => !isDisabledQueueFront && !isLoadingQueueFront, + preventDefault: true, + enableOnFormTags: ['input', 'textarea', 'select'], + }, + [queueFront, isDisabledQueueFront, isLoadingQueueFront] + ); useHotkeys( '*', diff --git a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx index 322ee3fd2b..8c8c02ee85 100644 --- a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx +++ b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx @@ -15,6 +15,9 @@ import { socketMiddleware } from 'services/events/middleware'; import Loading from '../../common/components/Loading/Loading'; import '../../i18n'; import AppDndContext from '../../features/dnd/components/AppDndContext'; +import { $customStarUI, CustomStarUi } from 'app/store/nanostores/customStarUI'; +import { $headerComponent } from 'app/store/nanostores/headerComponent'; +import { $queueId, DEFAULT_QUEUE_ID } from 'features/queue/store/nanoStores'; const App = lazy(() => import('./App')); const ThemeLocaleProvider = lazy(() => import('./ThemeLocaleProvider')); @@ -26,10 +29,12 @@ interface Props extends PropsWithChildren { headerComponent?: ReactNode; middleware?: Middleware[]; projectId?: string; + queueId?: string; selectedImage?: { imageName: string; action: 'sendToImg2Img' | 'sendToCanvas' | 'useAllParameters'; }; + customStarUi?: CustomStarUi; } const InvokeAIUI = ({ @@ -39,7 +44,9 @@ const InvokeAIUI = ({ headerComponent, middleware, projectId, + queueId, selectedImage, + customStarUi, }: Props) => { useEffect(() => { // configure API client token @@ -57,6 +64,11 @@ const InvokeAIUI = ({ $projectId.set(projectId); } + // configure API client project header + if (queueId) { + $queueId.set(queueId); + } + // reset dynamically added middlewares resetMiddlewares(); @@ -77,8 +89,29 @@ const InvokeAIUI = ({ $baseUrl.set(undefined); $authToken.set(undefined); $projectId.set(undefined); + $queueId.set(DEFAULT_QUEUE_ID); }; - }, [apiUrl, token, middleware, projectId]); + }, [apiUrl, token, middleware, projectId, queueId]); + + useEffect(() => { + if (customStarUi) { + $customStarUI.set(customStarUi); + } + + return () => { + $customStarUI.set(undefined); + }; + }, [customStarUi]); + + useEffect(() => { + if (headerComponent) { + $headerComponent.set(headerComponent); + } + + return () => { + $headerComponent.set(undefined); + }; + }, [headerComponent]); return ( @@ -86,11 +119,7 @@ const InvokeAIUI = ({ }> - + diff --git a/invokeai/frontend/web/src/app/components/Toaster.ts b/invokeai/frontend/web/src/app/components/Toaster.ts index 9d7149023b..e319bef59c 100644 --- a/invokeai/frontend/web/src/app/components/Toaster.ts +++ b/invokeai/frontend/web/src/app/components/Toaster.ts @@ -1,6 +1,5 @@ import { useToast } from '@chakra-ui/react'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; -import { toastQueueSelector } from 'features/system/store/systemSelectors'; import { addToast, clearToastQueue } from 'features/system/store/systemSlice'; import { MakeToastArg, makeToast } from 'features/system/util/makeToast'; import { memo, useCallback, useEffect } from 'react'; @@ -11,7 +10,7 @@ import { memo, useCallback, useEffect } from 'react'; */ const Toaster = () => { const dispatch = useAppDispatch(); - const toastQueue = useAppSelector(toastQueueSelector); + const toastQueue = useAppSelector((state) => state.system.toastQueue); const toast = useToast(); useEffect(() => { toastQueue.forEach((t) => { diff --git a/invokeai/frontend/web/src/app/logging/logger.ts b/invokeai/frontend/web/src/app/logging/logger.ts index 2d7b8a7744..0e0a1a7324 100644 --- a/invokeai/frontend/web/src/app/logging/logger.ts +++ b/invokeai/frontend/web/src/app/logging/logger.ts @@ -20,6 +20,7 @@ export type LoggerNamespace = | 'system' | 'socketio' | 'session' + | 'queue' | 'dnd'; export const logger = (namespace: LoggerNamespace) => diff --git a/invokeai/frontend/web/src/app/logging/useLogger.ts b/invokeai/frontend/web/src/app/logging/useLogger.ts index d31bcc2660..697c3d3fc8 100644 --- a/invokeai/frontend/web/src/app/logging/useLogger.ts +++ b/invokeai/frontend/web/src/app/logging/useLogger.ts @@ -1,7 +1,7 @@ import { createSelector } from '@reduxjs/toolkit'; import { createLogWriter } from '@roarr/browser-log-writer'; +import { stateSelector } from 'app/store/store'; import { useAppSelector } from 'app/store/storeHooks'; -import { systemSelector } from 'features/system/store/systemSelectors'; import { isEqual } from 'lodash-es'; import { useEffect, useMemo } from 'react'; import { ROARR, Roarr } from 'roarr'; @@ -14,8 +14,8 @@ import { } from './logger'; const selector = createSelector( - systemSelector, - (system) => { + stateSelector, + ({ system }) => { const { consoleLogLevel, shouldLogToConsole } = system; return { diff --git a/invokeai/frontend/web/src/app/store/actions.ts b/invokeai/frontend/web/src/app/store/actions.ts index e07920ce0c..418440a5fb 100644 --- a/invokeai/frontend/web/src/app/store/actions.ts +++ b/invokeai/frontend/web/src/app/store/actions.ts @@ -1,4 +1,10 @@ import { createAction } from '@reduxjs/toolkit'; import { InvokeTabName } from 'features/ui/store/tabMap'; +import { BatchConfig } from 'services/api/types'; -export const userInvoked = createAction('app/userInvoked'); +export const enqueueRequested = createAction<{ + tabName: InvokeTabName; + prepend: boolean; +}>('app/enqueueRequested'); + +export const batchEnqueued = createAction('app/batchEnqueued'); diff --git a/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/serialize.ts b/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/serialize.ts index 1b21770aa0..9de7f739a1 100644 --- a/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/serialize.ts +++ b/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/serialize.ts @@ -1,5 +1,6 @@ import { canvasPersistDenylist } from 'features/canvas/store/canvasPersistDenylist'; import { controlNetDenylist } from 'features/controlNet/store/controlNetDenylist'; +import { dynamicPromptsPersistDenylist } from 'features/dynamicPrompts/store/dynamicPromptsPersistDenylist'; import { galleryPersistDenylist } from 'features/gallery/store/galleryPersistDenylist'; import { nodesPersistDenylist } from 'features/nodes/store/nodesPersistDenylist'; import { generationPersistDenylist } from 'features/parameters/store/generationPersistDenylist'; @@ -20,6 +21,7 @@ const serializationDenylist: { system: systemPersistDenylist, ui: uiPersistDenylist, controlNet: controlNetDenylist, + dynamicPrompts: dynamicPromptsPersistDenylist, }; export const serialize: SerializeFunction = (data, key) => { diff --git a/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/unserialize.ts b/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/unserialize.ts index 159952d654..508ab9f69a 100644 --- a/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/unserialize.ts +++ b/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/unserialize.ts @@ -1,9 +1,11 @@ import { initialCanvasState } from 'features/canvas/store/canvasSlice'; import { initialControlNetState } from 'features/controlNet/store/controlNetSlice'; +import { initialDynamicPromptsState } from 'features/dynamicPrompts/store/dynamicPromptsSlice'; import { initialGalleryState } from 'features/gallery/store/gallerySlice'; import { initialNodesState } from 'features/nodes/store/nodesSlice'; import { initialGenerationState } from 'features/parameters/store/generationSlice'; import { initialPostprocessingState } from 'features/parameters/store/postprocessingSlice'; +import { initialSDXLState } from 'features/sdxl/store/sdxlSlice'; import { initialConfigState } from 'features/system/store/configSlice'; import { initialSystemState } from 'features/system/store/systemSlice'; import { initialHotkeysState } from 'features/ui/store/hotkeysSlice'; @@ -24,6 +26,8 @@ const initialStates: { ui: initialUIState, hotkeys: initialHotkeysState, controlNet: initialControlNetState, + dynamicPrompts: initialDynamicPromptsState, + sdxl: initialSDXLState, }; export const unserialize: UnserializeFunction = (data, key) => { diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts index 261edba0af..ead6e1cd42 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts @@ -9,6 +9,7 @@ import { import type { AppDispatch, RootState } from '../../store'; import { addCommitStagingAreaImageListener } from './listeners/addCommitStagingAreaImageListener'; import { addFirstListImagesListener } from './listeners/addFirstListImagesListener.ts'; +import { addAnyEnqueuedListener } from './listeners/anyEnqueued'; import { addAppConfigReceivedListener } from './listeners/appConfigReceived'; import { addAppStartedListener } from './listeners/appStarted'; import { addDeleteBoardAndImagesFulfilledListener } from './listeners/boardAndImagesDeleted'; @@ -22,6 +23,9 @@ import { addCanvasMergedListener } from './listeners/canvasMerged'; import { addCanvasSavedToGalleryListener } from './listeners/canvasSavedToGallery'; import { addControlNetAutoProcessListener } from './listeners/controlNetAutoProcess'; import { addControlNetImageProcessedListener } from './listeners/controlNetImageProcessed'; +import { addEnqueueRequestedCanvasListener } from './listeners/enqueueRequestedCanvas'; +import { addEnqueueRequestedLinear } from './listeners/enqueueRequestedLinear'; +import { addEnqueueRequestedNodes } from './listeners/enqueueRequestedNodes'; import { addImageAddedToBoardFulfilledListener, addImageAddedToBoardRejectedListener, @@ -48,6 +52,7 @@ import { addImagesUnstarredListener } from './listeners/imagesUnstarred'; import { addInitialImageSelectedListener } from './listeners/initialImageSelected'; import { addModelSelectedListener } from './listeners/modelSelected'; import { addModelsLoadedListener } from './listeners/modelsLoaded'; +import { addDynamicPromptsListener } from './listeners/promptChanged'; import { addReceivedOpenAPISchemaListener } from './listeners/receivedOpenAPISchema'; import { addSessionCanceledFulfilledListener, @@ -64,7 +69,6 @@ import { addSessionInvokedPendingListener, addSessionInvokedRejectedListener, } from './listeners/sessionInvoked'; -import { addSessionReadyToInvokeListener } from './listeners/sessionReadyToInvoke'; import { addSocketConnectedEventListener as addSocketConnectedListener } from './listeners/socketio/socketConnected'; import { addSocketDisconnectedEventListener as addSocketDisconnectedListener } from './listeners/socketio/socketDisconnected'; import { addGeneratorProgressEventListener as addGeneratorProgressListener } from './listeners/socketio/socketGeneratorProgress'; @@ -74,16 +78,13 @@ import { addInvocationErrorEventListener as addInvocationErrorListener } from '. import { addInvocationRetrievalErrorEventListener } from './listeners/socketio/socketInvocationRetrievalError'; import { addInvocationStartedEventListener as addInvocationStartedListener } from './listeners/socketio/socketInvocationStarted'; import { addModelLoadEventListener } from './listeners/socketio/socketModelLoad'; +import { addSocketQueueItemStatusChangedEventListener } from './listeners/socketio/socketQueueItemStatusChanged'; import { addSessionRetrievalErrorEventListener } from './listeners/socketio/socketSessionRetrievalError'; import { addSocketSubscribedEventListener as addSocketSubscribedListener } from './listeners/socketio/socketSubscribed'; import { addSocketUnsubscribedEventListener as addSocketUnsubscribedListener } from './listeners/socketio/socketUnsubscribed'; import { addStagingAreaImageSavedListener } from './listeners/stagingAreaImageSaved'; import { addTabChangedListener } from './listeners/tabChanged'; import { addUpscaleRequestedListener } from './listeners/upscaleRequested'; -import { addUserInvokedCanvasListener } from './listeners/userInvokedCanvas'; -import { addUserInvokedImageToImageListener } from './listeners/userInvokedImageToImage'; -import { addUserInvokedNodesListener } from './listeners/userInvokedNodes'; -import { addUserInvokedTextToImageListener } from './listeners/userInvokedTextToImage'; import { addWorkflowLoadedListener } from './listeners/workflowLoaded'; export const listenerMiddleware = createListenerMiddleware(); @@ -131,11 +132,10 @@ addImagesStarredListener(); addImagesUnstarredListener(); // User Invoked -addUserInvokedCanvasListener(); -addUserInvokedNodesListener(); -addUserInvokedTextToImageListener(); -addUserInvokedImageToImageListener(); -addSessionReadyToInvokeListener(); +addEnqueueRequestedCanvasListener(); +addEnqueueRequestedNodes(); +addEnqueueRequestedLinear(); +addAnyEnqueuedListener(); // Canvas actions addCanvasSavedToGalleryListener(); @@ -173,6 +173,7 @@ addSocketUnsubscribedListener(); addModelLoadEventListener(); addSessionRetrievalErrorEventListener(); addInvocationRetrievalErrorEventListener(); +addSocketQueueItemStatusChangedEventListener(); // Session Created addSessionCreatedPendingListener(); @@ -223,3 +224,6 @@ addUpscaleRequestedListener(); // Tab Change addTabChangedListener(); + +// Dynamic prompts +addDynamicPromptsListener(); diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addCommitStagingAreaImageListener.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addCommitStagingAreaImageListener.ts index d157fae7ed..d302d50255 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addCommitStagingAreaImageListener.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addCommitStagingAreaImageListener.ts @@ -1,39 +1,53 @@ +import { isAnyOf } from '@reduxjs/toolkit'; import { logger } from 'app/logging/logger'; -import { commitStagingAreaImage } from 'features/canvas/store/canvasSlice'; -import { sessionCanceled } from 'services/api/thunks/session'; +import { + canvasBatchIdsReset, + commitStagingAreaImage, + discardStagedImages, +} from 'features/canvas/store/canvasSlice'; +import { addToast } from 'features/system/store/systemSlice'; +import { t } from 'i18next'; +import { queueApi } from 'services/api/endpoints/queue'; import { startAppListening } from '..'; +const matcher = isAnyOf(commitStagingAreaImage, discardStagedImages); + export const addCommitStagingAreaImageListener = () => { startAppListening({ - actionCreator: commitStagingAreaImage, - effect: async (action, { dispatch, getState }) => { + matcher, + effect: async (_, { dispatch, getState }) => { const log = logger('canvas'); const state = getState(); - const { sessionId: session_id, isProcessing } = state.system; - const canvasSessionId = action.payload; + const { batchIds } = state.canvas; - if (!isProcessing) { - // Only need to cancel if we are processing - return; - } - - if (!canvasSessionId) { - log.debug('No canvas session, skipping cancel'); - return; - } - - if (canvasSessionId !== session_id) { - log.debug( - { - canvasSessionId, - session_id, - }, - 'Canvas session does not match global session, skipping cancel' + try { + const req = dispatch( + queueApi.endpoints.cancelByBatchIds.initiate( + { batch_ids: batchIds }, + { fixedCacheKey: 'cancelByBatchIds' } + ) + ); + const { canceled } = await req.unwrap(); + req.reset(); + if (canceled > 0) { + log.debug(`Canceled ${canceled} canvas batches`); + dispatch( + addToast({ + title: t('queue.cancelBatchSucceeded'), + status: 'success', + }) + ); + } + dispatch(canvasBatchIdsReset()); + } catch { + log.error('Failed to cancel canvas batches'); + dispatch( + addToast({ + title: t('queue.cancelBatchFailed'), + status: 'error', + }) ); - return; } - - dispatch(sessionCanceled({ session_id })); }, }); }; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/anyEnqueued.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/anyEnqueued.ts new file mode 100644 index 0000000000..ff11491b53 --- /dev/null +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/anyEnqueued.ts @@ -0,0 +1,27 @@ +import { isAnyOf } from '@reduxjs/toolkit'; +import { queueApi } from 'services/api/endpoints/queue'; +import { startAppListening } from '..'; + +const matcher = isAnyOf( + queueApi.endpoints.enqueueBatch.matchFulfilled, + queueApi.endpoints.enqueueGraph.matchFulfilled +); + +export const addAnyEnqueuedListener = () => { + startAppListening({ + matcher, + effect: async (_, { dispatch, getState }) => { + const { data } = queueApi.endpoints.getQueueStatus.select()(getState()); + + if (!data || data.processor.is_started) { + return; + } + + dispatch( + queueApi.endpoints.resumeProcessor.initiate(undefined, { + fixedCacheKey: 'resumeProcessor', + }) + ); + }, + }); +}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardAndImagesDeleted.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardAndImagesDeleted.ts index d4a36d64dc..69b136ca60 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardAndImagesDeleted.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardAndImagesDeleted.ts @@ -1,5 +1,8 @@ import { resetCanvas } from 'features/canvas/store/canvasSlice'; -import { controlNetReset } from 'features/controlNet/store/controlNetSlice'; +import { + controlNetReset, + ipAdapterStateReset, +} from 'features/controlNet/store/controlNetSlice'; import { getImageUsage } from 'features/deleteImageModal/store/selectors'; import { nodeEditorReset } from 'features/nodes/store/nodesSlice'; import { clearInitialImage } from 'features/parameters/store/generationSlice'; @@ -18,6 +21,7 @@ export const addDeleteBoardAndImagesFulfilledListener = () => { let wasCanvasReset = false; let wasNodeEditorReset = false; let wasControlNetReset = false; + let wasIPAdapterReset = false; const state = getState(); deleted_images.forEach((image_name) => { @@ -42,6 +46,11 @@ export const addDeleteBoardAndImagesFulfilledListener = () => { dispatch(controlNetReset()); wasControlNetReset = true; } + + if (imageUsage.isIPAdapterImage && !wasIPAdapterReset) { + dispatch(ipAdapterStateReset()); + wasIPAdapterReset = true; + } }); }, }); diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasCopiedToClipboard.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasCopiedToClipboard.ts index 9e66d1bdb8..1ac80d219b 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasCopiedToClipboard.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasCopiedToClipboard.ts @@ -3,7 +3,8 @@ import { startAppListening } from '..'; import { $logger } from 'app/logging/logger'; import { getBaseLayerBlob } from 'features/canvas/util/getBaseLayerBlob'; import { addToast } from 'features/system/store/systemSlice'; -import { copyBlobToClipboard } from 'features/canvas/util/copyBlobToClipboard'; +import { copyBlobToClipboard } from 'features/system/util/copyBlobToClipboard'; +import { t } from 'i18next'; export const addCanvasCopiedToClipboardListener = () => { startAppListening({ @@ -14,25 +15,25 @@ export const addCanvasCopiedToClipboardListener = () => { .child({ namespace: 'canvasCopiedToClipboardListener' }); const state = getState(); - const blob = await getBaseLayerBlob(state); + try { + const blob = getBaseLayerBlob(state); - if (!blob) { - moduleLog.error('Problem getting base layer blob'); + copyBlobToClipboard(blob); + } catch (err) { + moduleLog.error(String(err)); dispatch( addToast({ - title: 'Problem Copying Canvas', - description: 'Unable to export base layer', + title: t('toast.problemCopyingCanvas'), + description: t('toast.problemCopyingCanvasDesc'), status: 'error', }) ); return; } - copyBlobToClipboard(blob); - dispatch( addToast({ - title: 'Canvas Copied to Clipboard', + title: t('toast.canvasCopiedClipboard'), status: 'success', }) ); diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasDownloadedAsImage.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasDownloadedAsImage.ts index b101d00541..cfaf20b64c 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasDownloadedAsImage.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasDownloadedAsImage.ts @@ -4,6 +4,7 @@ import { $logger } from 'app/logging/logger'; import { downloadBlob } from 'features/canvas/util/downloadBlob'; import { getBaseLayerBlob } from 'features/canvas/util/getBaseLayerBlob'; import { addToast } from 'features/system/store/systemSlice'; +import { t } from 'i18next'; export const addCanvasDownloadedAsImageListener = () => { startAppListening({ @@ -14,14 +15,15 @@ export const addCanvasDownloadedAsImageListener = () => { .child({ namespace: 'canvasSavedToGalleryListener' }); const state = getState(); - const blob = await getBaseLayerBlob(state); - - if (!blob) { - moduleLog.error('Problem getting base layer blob'); + let blob; + try { + blob = await getBaseLayerBlob(state); + } catch (err) { + moduleLog.error(String(err)); dispatch( addToast({ - title: 'Problem Downloading Canvas', - description: 'Unable to export base layer', + title: t('toast.problemDownloadingCanvas'), + description: t('toast.problemDownloadingCanvasDesc'), status: 'error', }) ); @@ -29,7 +31,9 @@ export const addCanvasDownloadedAsImageListener = () => { } downloadBlob(blob, 'canvas.png'); - dispatch(addToast({ title: 'Canvas Downloaded', status: 'success' })); + dispatch( + addToast({ title: t('toast.canvasDownloaded'), status: 'success' }) + ); }, }); }; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasImageToControlNet.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasImageToControlNet.ts index fb411a6e25..835b8246f1 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasImageToControlNet.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasImageToControlNet.ts @@ -5,6 +5,7 @@ import { controlNetImageChanged } from 'features/controlNet/store/controlNetSlic import { addToast } from 'features/system/store/systemSlice'; import { imagesApi } from 'services/api/endpoints/images'; import { startAppListening } from '..'; +import { t } from 'i18next'; export const addCanvasImageToControlNetListener = () => { startAppListening({ @@ -13,14 +14,15 @@ export const addCanvasImageToControlNetListener = () => { const log = logger('canvas'); const state = getState(); - const blob = await getBaseLayerBlob(state); - - if (!blob) { - log.error('Problem getting base layer blob'); + let blob; + try { + blob = await getBaseLayerBlob(state); + } catch (err) { + log.error(String(err)); dispatch( addToast({ - title: 'Problem Saving Canvas', - description: 'Unable to export base layer', + title: t('toast.problemSavingCanvas'), + description: t('toast.problemSavingCanvasDesc'), status: 'error', }) ); @@ -40,7 +42,7 @@ export const addCanvasImageToControlNetListener = () => { crop_visible: true, postUploadAction: { type: 'TOAST', - toastOptions: { title: 'Canvas Sent to ControlNet & Assets' }, + toastOptions: { title: t('toast.canvasSentControlnetAssets') }, }, }) ).unwrap(); diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskSavedToGallery.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskSavedToGallery.ts index e701b93352..f814d94f3a 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskSavedToGallery.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskSavedToGallery.ts @@ -4,6 +4,7 @@ import { getCanvasData } from 'features/canvas/util/getCanvasData'; import { addToast } from 'features/system/store/systemSlice'; import { imagesApi } from 'services/api/endpoints/images'; import { startAppListening } from '..'; +import { t } from 'i18next'; export const addCanvasMaskSavedToGalleryListener = () => { startAppListening({ @@ -30,8 +31,8 @@ export const addCanvasMaskSavedToGalleryListener = () => { log.error('Problem getting mask layer blob'); dispatch( addToast({ - title: 'Problem Saving Mask', - description: 'Unable to export mask', + title: t('toast.problemSavingMask'), + description: t('toast.problemSavingMaskDesc'), status: 'error', }) ); @@ -51,7 +52,7 @@ export const addCanvasMaskSavedToGalleryListener = () => { crop_visible: true, postUploadAction: { type: 'TOAST', - toastOptions: { title: 'Mask Saved to Assets' }, + toastOptions: { title: t('toast.maskSavedAssets') }, }, }) ); diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskToControlNet.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskToControlNet.ts index 6c97259f02..671c7f63e4 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskToControlNet.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskToControlNet.ts @@ -5,6 +5,7 @@ import { controlNetImageChanged } from 'features/controlNet/store/controlNetSlic import { addToast } from 'features/system/store/systemSlice'; import { imagesApi } from 'services/api/endpoints/images'; import { startAppListening } from '..'; +import { t } from 'i18next'; export const addCanvasMaskToControlNetListener = () => { startAppListening({ @@ -31,8 +32,8 @@ export const addCanvasMaskToControlNetListener = () => { log.error('Problem getting mask layer blob'); dispatch( addToast({ - title: 'Problem Importing Mask', - description: 'Unable to export mask', + title: t('toast.problemImportingMask'), + description: t('toast.problemImportingMaskDesc'), status: 'error', }) ); @@ -52,7 +53,7 @@ export const addCanvasMaskToControlNetListener = () => { crop_visible: true, postUploadAction: { type: 'TOAST', - toastOptions: { title: 'Mask Sent to ControlNet & Assets' }, + toastOptions: { title: t('toast.maskSentControlnetAssets') }, }, }) ).unwrap(); diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMerged.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMerged.ts index 21c506242d..62f7b60036 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMerged.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMerged.ts @@ -6,6 +6,7 @@ import { getCanvasBaseLayer } from 'features/canvas/util/konvaInstanceProvider'; import { addToast } from 'features/system/store/systemSlice'; import { imagesApi } from 'services/api/endpoints/images'; import { startAppListening } from '..'; +import { t } from 'i18next'; export const addCanvasMergedListener = () => { startAppListening({ @@ -20,8 +21,8 @@ export const addCanvasMergedListener = () => { moduleLog.error('Problem getting base layer blob'); dispatch( addToast({ - title: 'Problem Merging Canvas', - description: 'Unable to export base layer', + title: t('toast.problemMergingCanvas'), + description: t('toast.problemMergingCanvasDesc'), status: 'error', }) ); @@ -34,8 +35,8 @@ export const addCanvasMergedListener = () => { moduleLog.error('Problem getting canvas base layer'); dispatch( addToast({ - title: 'Problem Merging Canvas', - description: 'Unable to export base layer', + title: t('toast.problemMergingCanvas'), + description: t('toast.problemMergingCanvasDesc'), status: 'error', }) ); @@ -55,7 +56,7 @@ export const addCanvasMergedListener = () => { is_intermediate: true, postUploadAction: { type: 'TOAST', - toastOptions: { title: 'Canvas Merged' }, + toastOptions: { title: t('toast.canvasMerged') }, }, }) ).unwrap(); diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasSavedToGallery.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasSavedToGallery.ts index dbadb72a52..23e2cebe53 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasSavedToGallery.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasSavedToGallery.ts @@ -4,6 +4,7 @@ import { getBaseLayerBlob } from 'features/canvas/util/getBaseLayerBlob'; import { addToast } from 'features/system/store/systemSlice'; import { imagesApi } from 'services/api/endpoints/images'; import { startAppListening } from '..'; +import { t } from 'i18next'; export const addCanvasSavedToGalleryListener = () => { startAppListening({ @@ -12,14 +13,15 @@ export const addCanvasSavedToGalleryListener = () => { const log = logger('canvas'); const state = getState(); - const blob = await getBaseLayerBlob(state); - - if (!blob) { - log.error('Problem getting base layer blob'); + let blob; + try { + blob = await getBaseLayerBlob(state); + } catch (err) { + log.error(String(err)); dispatch( addToast({ - title: 'Problem Saving Canvas', - description: 'Unable to export base layer', + title: t('toast.problemSavingCanvas'), + description: t('toast.problemSavingCanvasDesc'), status: 'error', }) ); @@ -39,7 +41,7 @@ export const addCanvasSavedToGalleryListener = () => { crop_visible: true, postUploadAction: { type: 'TOAST', - toastOptions: { title: 'Canvas Saved to Gallery' }, + toastOptions: { title: t('toast.canvasSavedGallery') }, }, }) ); diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetAutoProcess.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetAutoProcess.ts index 61bcf28833..ffb1c9565f 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetAutoProcess.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetAutoProcess.ts @@ -52,11 +52,9 @@ const predicate: AnyListenerPredicate = ( const isProcessorSelected = processorType !== 'none'; - const isBusy = state.system.isProcessing; - const hasControlImage = Boolean(controlImage); - return isProcessorSelected && !isBusy && hasControlImage; + return isProcessorSelected && hasControlImage; }; /** diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts index fa915ef21b..814614da10 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts @@ -1,10 +1,13 @@ import { logger } from 'app/logging/logger'; +import { parseify } from 'common/util/serialize'; import { controlNetImageProcessed } from 'features/controlNet/store/actions'; import { controlNetProcessedImageChanged } from 'features/controlNet/store/controlNetSlice'; -import { sessionReadyToInvoke } from 'features/system/store/actions'; +import { SAVE_IMAGE } from 'features/nodes/util/graphBuilders/constants'; +import { addToast } from 'features/system/store/systemSlice'; +import { t } from 'i18next'; import { imagesApi } from 'services/api/endpoints/images'; +import { queueApi } from 'services/api/endpoints/queue'; import { isImageOutput } from 'services/api/guards'; -import { sessionCreated } from 'services/api/thunks/session'; import { Graph, ImageDTO } from 'services/api/types'; import { socketInvocationComplete } from 'services/events/actions'; import { startAppListening } from '..'; @@ -31,51 +34,83 @@ export const addControlNetImageProcessedListener = () => { is_intermediate: true, image: { image_name: controlNet.controlImage }, }, + [SAVE_IMAGE]: { + id: SAVE_IMAGE, + type: 'save_image', + is_intermediate: true, + use_cache: false, + }, }, + edges: [ + { + source: { + node_id: controlNet.processorNode.id, + field: 'image', + }, + destination: { + node_id: SAVE_IMAGE, + field: 'image', + }, + }, + ], }; - - // Create a session to run the graph & wait til it's ready to invoke - const sessionCreatedAction = dispatch(sessionCreated({ graph })); - const [sessionCreatedFulfilledAction] = await take( - (action): action is ReturnType => - sessionCreated.fulfilled.match(action) && - action.meta.requestId === sessionCreatedAction.requestId - ); - - const sessionId = sessionCreatedFulfilledAction.payload.id; - - // Invoke the session & wait til it's complete - dispatch(sessionReadyToInvoke()); - const [invocationCompleteAction] = await take( - (action): action is ReturnType => - socketInvocationComplete.match(action) && - action.payload.data.graph_execution_state_id === sessionId - ); - - // We still have to check the output type - if (isImageOutput(invocationCompleteAction.payload.data.result)) { - const { image_name } = - invocationCompleteAction.payload.data.result.image; - - // Wait for the ImageDTO to be received - const [{ payload }] = await take( - (action) => - imagesApi.endpoints.getImageDTO.matchFulfilled(action) && - action.payload.image_name === image_name + try { + const req = dispatch( + queueApi.endpoints.enqueueGraph.initiate( + { graph, prepend: true }, + { + fixedCacheKey: 'enqueueGraph', + } + ) ); - - const processedControlImage = payload as ImageDTO; - + const enqueueResult = await req.unwrap(); + req.reset(); log.debug( - { controlNetId: action.payload, processedControlImage }, - 'ControlNet image processed' + { enqueueResult: parseify(enqueueResult) }, + t('queue.graphQueued') ); - // Update the processed image in the store + const [invocationCompleteAction] = await take( + (action): action is ReturnType => + socketInvocationComplete.match(action) && + action.payload.data.graph_execution_state_id === + enqueueResult.queue_item.session_id && + action.payload.data.source_node_id === SAVE_IMAGE + ); + + // We still have to check the output type + if (isImageOutput(invocationCompleteAction.payload.data.result)) { + const { image_name } = + invocationCompleteAction.payload.data.result.image; + + // Wait for the ImageDTO to be received + const [{ payload }] = await take( + (action) => + imagesApi.endpoints.getImageDTO.matchFulfilled(action) && + action.payload.image_name === image_name + ); + + const processedControlImage = payload as ImageDTO; + + log.debug( + { controlNetId: action.payload, processedControlImage }, + 'ControlNet image processed' + ); + + // Update the processed image in the store + dispatch( + controlNetProcessedImageChanged({ + controlNetId, + processedControlImage: processedControlImage.image_name, + }) + ); + } + } catch { + log.error({ graph: parseify(graph) }, t('queue.graphFailedToQueue')); dispatch( - controlNetProcessedImageChanged({ - controlNetId, - processedControlImage: processedControlImage.image_name, + addToast({ + title: t('queue.graphFailedToQueue'), + status: 'error', }) ); } diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedCanvas.ts similarity index 65% rename from invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts rename to invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedCanvas.ts index cd6791cc0b..c1511bd0e8 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedCanvas.ts @@ -1,9 +1,9 @@ import { logger } from 'app/logging/logger'; -import { userInvoked } from 'app/store/actions'; +import { enqueueRequested } from 'app/store/actions'; import openBase64ImageInTab from 'common/util/openBase64ImageInTab'; import { parseify } from 'common/util/serialize'; import { - canvasSessionIdChanged, + canvasBatchIdAdded, stagingAreaInitialized, } from 'features/canvas/store/canvasSlice'; import { blobToDataURL } from 'features/canvas/util/blobToDataURL'; @@ -11,9 +11,11 @@ import { getCanvasData } from 'features/canvas/util/getCanvasData'; import { getCanvasGenerationMode } from 'features/canvas/util/getCanvasGenerationMode'; import { canvasGraphBuilt } from 'features/nodes/store/actions'; import { buildCanvasGraph } from 'features/nodes/util/graphBuilders/buildCanvasGraph'; -import { sessionReadyToInvoke } from 'features/system/store/actions'; +import { prepareLinearUIBatch } from 'features/nodes/util/graphBuilders/buildLinearBatchConfig'; +import { addToast } from 'features/system/store/systemSlice'; +import { t } from 'i18next'; import { imagesApi } from 'services/api/endpoints/images'; -import { sessionCreated } from 'services/api/thunks/session'; +import { queueApi } from 'services/api/endpoints/queue'; import { ImageDTO } from 'services/api/types'; import { startAppListening } from '..'; @@ -30,13 +32,14 @@ import { startAppListening } from '..'; * 8. Initialize the staging area if not yet initialized * 9. Dispatch the sessionReadyToInvoke action to invoke the session */ -export const addUserInvokedCanvasListener = () => { +export const addEnqueueRequestedCanvasListener = () => { startAppListening({ - predicate: (action): action is ReturnType => - userInvoked.match(action) && action.payload === 'unifiedCanvas', - effect: async (action, { getState, dispatch, take }) => { - const log = logger('session'); - + predicate: (action): action is ReturnType => + enqueueRequested.match(action) && + action.payload.tabName === 'unifiedCanvas', + effect: async (action, { getState, dispatch }) => { + const log = logger('queue'); + const { prepend } = action.payload; const state = getState(); const { @@ -125,57 +128,59 @@ export const addUserInvokedCanvasListener = () => { // currently this action is just listened to for logging dispatch(canvasGraphBuilt(graph)); - // Create the session, store the request id - const { requestId: sessionCreatedRequestId } = dispatch( - sessionCreated({ graph }) - ); + const batchConfig = prepareLinearUIBatch(state, graph, prepend); - // Take the session created action, matching by its request id - const [sessionCreatedAction] = await take( - (action): action is ReturnType => - sessionCreated.fulfilled.match(action) && - action.meta.requestId === sessionCreatedRequestId - ); - const session_id = sessionCreatedAction.payload.id; + try { + const req = dispatch( + queueApi.endpoints.enqueueBatch.initiate(batchConfig, { + fixedCacheKey: 'enqueueBatch', + }) + ); + + const enqueueResult = await req.unwrap(); + req.reset(); + + log.debug({ enqueueResult: parseify(enqueueResult) }, 'Batch enqueued'); + + const batchId = enqueueResult.batch.batch_id as string; // we know the is a string, backend provides it + + // Prep the canvas staging area if it is not yet initialized + if (!state.canvas.layerState.stagingArea.boundingBox) { + dispatch( + stagingAreaInitialized({ + boundingBox: { + ...state.canvas.boundingBoxCoordinates, + ...state.canvas.boundingBoxDimensions, + }, + }) + ); + } + + // Associate the session with the canvas session ID + dispatch(canvasBatchIdAdded(batchId)); - // Associate the init image with the session, now that we have the session ID - if (['img2img', 'inpaint'].includes(generationMode) && canvasInitImage) { dispatch( - imagesApi.endpoints.changeImageSessionId.initiate({ - imageDTO: canvasInitImage, - session_id, + addToast({ + title: t('queue.batchQueued'), + description: t('queue.batchQueuedDesc', { + item_count: enqueueResult.enqueued, + direction: prepend ? t('queue.front') : t('queue.back'), + }), + status: 'success', + }) + ); + } catch { + log.error( + { batchConfig: parseify(batchConfig) }, + t('queue.batchFailedToQueue') + ); + dispatch( + addToast({ + title: t('queue.batchFailedToQueue'), + status: 'error', }) ); } - - // Associate the mask image with the session, now that we have the session ID - if (['inpaint'].includes(generationMode) && canvasMaskImage) { - dispatch( - imagesApi.endpoints.changeImageSessionId.initiate({ - imageDTO: canvasMaskImage, - session_id, - }) - ); - } - - // Prep the canvas staging area if it is not yet initialized - if (!state.canvas.layerState.stagingArea.boundingBox) { - dispatch( - stagingAreaInitialized({ - sessionId: session_id, - boundingBox: { - ...state.canvas.boundingBoxCoordinates, - ...state.canvas.boundingBoxDimensions, - }, - }) - ); - } - - // Flag the session with the canvas session ID - dispatch(canvasSessionIdChanged(session_id)); - - // We are ready to invoke the session! - dispatch(sessionReadyToInvoke()); }, }); }; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedLinear.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedLinear.ts new file mode 100644 index 0000000000..e36c6f2ebe --- /dev/null +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedLinear.ts @@ -0,0 +1,78 @@ +import { logger } from 'app/logging/logger'; +import { enqueueRequested } from 'app/store/actions'; +import { parseify } from 'common/util/serialize'; +import { prepareLinearUIBatch } from 'features/nodes/util/graphBuilders/buildLinearBatchConfig'; +import { buildLinearImageToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearImageToImageGraph'; +import { buildLinearSDXLImageToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph'; +import { buildLinearSDXLTextToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph'; +import { buildLinearTextToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearTextToImageGraph'; +import { addToast } from 'features/system/store/systemSlice'; +import { t } from 'i18next'; +import { queueApi } from 'services/api/endpoints/queue'; +import { startAppListening } from '..'; + +export const addEnqueueRequestedLinear = () => { + startAppListening({ + predicate: (action): action is ReturnType => + enqueueRequested.match(action) && + (action.payload.tabName === 'txt2img' || + action.payload.tabName === 'img2img'), + effect: async (action, { getState, dispatch }) => { + const log = logger('queue'); + const state = getState(); + const model = state.generation.model; + const { prepend } = action.payload; + + let graph; + + if (model && model.base_model === 'sdxl') { + if (action.payload.tabName === 'txt2img') { + graph = buildLinearSDXLTextToImageGraph(state); + } else { + graph = buildLinearSDXLImageToImageGraph(state); + } + } else { + if (action.payload.tabName === 'txt2img') { + graph = buildLinearTextToImageGraph(state); + } else { + graph = buildLinearImageToImageGraph(state); + } + } + + const batchConfig = prepareLinearUIBatch(state, graph, prepend); + + try { + const req = dispatch( + queueApi.endpoints.enqueueBatch.initiate(batchConfig, { + fixedCacheKey: 'enqueueBatch', + }) + ); + const enqueueResult = await req.unwrap(); + req.reset(); + + log.debug({ enqueueResult: parseify(enqueueResult) }, 'Batch enqueued'); + dispatch( + addToast({ + title: t('queue.batchQueued'), + description: t('queue.batchQueuedDesc', { + item_count: enqueueResult.enqueued, + direction: prepend ? t('queue.front') : t('queue.back'), + }), + status: 'success', + }) + ); + } catch { + log.error( + { batchConfig: parseify(batchConfig) }, + t('queue.batchFailedToQueue') + ); + dispatch( + addToast({ + title: t('queue.batchFailedToQueue'), + status: 'error', + }) + ); + } + }, + }); +}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedNodes.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedNodes.ts new file mode 100644 index 0000000000..31281678d4 --- /dev/null +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedNodes.ts @@ -0,0 +1,62 @@ +import { logger } from 'app/logging/logger'; +import { enqueueRequested } from 'app/store/actions'; +import { parseify } from 'common/util/serialize'; +import { buildNodesGraph } from 'features/nodes/util/graphBuilders/buildNodesGraph'; +import { addToast } from 'features/system/store/systemSlice'; +import { t } from 'i18next'; +import { queueApi } from 'services/api/endpoints/queue'; +import { BatchConfig } from 'services/api/types'; +import { startAppListening } from '..'; + +export const addEnqueueRequestedNodes = () => { + startAppListening({ + predicate: (action): action is ReturnType => + enqueueRequested.match(action) && action.payload.tabName === 'nodes', + effect: async (action, { getState, dispatch }) => { + const log = logger('queue'); + const state = getState(); + const { prepend } = action.payload; + const graph = buildNodesGraph(state.nodes); + const batchConfig: BatchConfig = { + batch: { + graph, + runs: state.generation.iterations, + }, + prepend: action.payload.prepend, + }; + + try { + const req = dispatch( + queueApi.endpoints.enqueueBatch.initiate(batchConfig, { + fixedCacheKey: 'enqueueBatch', + }) + ); + const enqueueResult = await req.unwrap(); + req.reset(); + + log.debug({ enqueueResult: parseify(enqueueResult) }, 'Batch enqueued'); + dispatch( + addToast({ + title: t('queue.batchQueued'), + description: t('queue.batchQueuedDesc', { + item_count: enqueueResult.enqueued, + direction: prepend ? t('queue.front') : t('queue.back'), + }), + status: 'success', + }) + ); + } catch { + log.error( + { batchConfig: parseify(batchConfig) }, + 'Failed to enqueue batch' + ); + dispatch( + addToast({ + title: t('queue.batchFailedToQueue'), + status: 'error', + }) + ); + } + }, + }); +}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts index 770c9fc11b..7c51b44aa2 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts @@ -3,6 +3,7 @@ import { resetCanvas } from 'features/canvas/store/canvasSlice'; import { controlNetImageChanged, controlNetProcessedImageChanged, + ipAdapterImageChanged, } from 'features/controlNet/store/controlNetSlice'; import { imageDeletionConfirmed } from 'features/deleteImageModal/store/actions'; import { isModalOpenChanged } from 'features/deleteImageModal/store/slice'; @@ -110,6 +111,14 @@ export const addRequestedSingleImageDeletionListener = () => { } }); + // Remove IP Adapter Set Image if image is deleted. + if ( + getState().controlNet.ipAdapterInfo.adapterImage?.image_name === + imageDTO.image_name + ) { + dispatch(ipAdapterImageChanged(null)); + } + // reset nodes that use the deleted images getState().nodes.nodes.forEach((node) => { if (!isInvocationNode(node)) { @@ -227,6 +236,14 @@ export const addRequestedMultipleImageDeletionListener = () => { } }); + // Remove IP Adapter Set Image if image is deleted. + if ( + getState().controlNet.ipAdapterInfo.adapterImage?.image_name === + imageDTO.image_name + ) { + dispatch(ipAdapterImageChanged(null)); + } + // reset nodes that use the deleted images getState().nodes.nodes.forEach((node) => { if (!isInvocationNode(node)) { diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts index fc0b44653d..d38a20a917 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts @@ -1,7 +1,13 @@ import { createAction } from '@reduxjs/toolkit'; import { logger } from 'app/logging/logger'; +import { parseify } from 'common/util/serialize'; import { setInitialCanvasImage } from 'features/canvas/store/canvasSlice'; -import { controlNetImageChanged } from 'features/controlNet/store/controlNetSlice'; +import { + controlNetImageChanged, + controlNetIsEnabledChanged, + ipAdapterImageChanged, + isIPAdapterEnabledChanged, +} from 'features/controlNet/store/controlNetSlice'; import { TypesafeDraggableData, TypesafeDroppableData, @@ -14,7 +20,6 @@ import { import { initialImageChanged } from 'features/parameters/store/generationSlice'; import { imagesApi } from 'services/api/endpoints/images'; import { startAppListening } from '../'; -import { parseify } from 'common/util/serialize'; export const dndDropped = createAction<{ overData: TypesafeDroppableData; @@ -96,6 +101,25 @@ export const addImageDroppedListener = () => { controlNetId, }) ); + dispatch( + controlNetIsEnabledChanged({ + controlNetId, + isEnabled: true, + }) + ); + return; + } + + /** + * Image dropped on IP Adapter image + */ + if ( + overData.actionType === 'SET_IP_ADAPTER_IMAGE' && + activeData.payloadType === 'IMAGE_DTO' && + activeData.payload.imageDTO + ) { + dispatch(ipAdapterImageChanged(activeData.payload.imageDTO)); + dispatch(isIPAdapterEnabledChanged(true)); return; } diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageToDeleteSelected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageToDeleteSelected.ts index 88a4e773d5..61b4379d5d 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageToDeleteSelected.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageToDeleteSelected.ts @@ -19,6 +19,7 @@ export const addImageToDeleteSelectedListener = () => { imagesUsage.some((i) => i.isCanvasImage) || imagesUsage.some((i) => i.isInitialImage) || imagesUsage.some((i) => i.isControlNetImage) || + imagesUsage.some((i) => i.isIPAdapterImage) || imagesUsage.some((i) => i.isNodesImage); if (shouldConfirmOnDelete || isImageInUse) { diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts index 0c55908748..b27c922342 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts @@ -1,17 +1,23 @@ import { UseToastOptions } from '@chakra-ui/react'; import { logger } from 'app/logging/logger'; import { setInitialCanvasImage } from 'features/canvas/store/canvasSlice'; -import { controlNetImageChanged } from 'features/controlNet/store/controlNetSlice'; +import { + controlNetImageChanged, + controlNetIsEnabledChanged, + ipAdapterImageChanged, + isIPAdapterEnabledChanged, +} from 'features/controlNet/store/controlNetSlice'; import { fieldImageValueChanged } from 'features/nodes/store/nodesSlice'; import { initialImageChanged } from 'features/parameters/store/generationSlice'; import { addToast } from 'features/system/store/systemSlice'; +import { t } from 'i18next'; import { omit } from 'lodash-es'; import { boardsApi } from 'services/api/endpoints/boards'; import { startAppListening } from '..'; import { imagesApi } from '../../../../../services/api/endpoints/images'; const DEFAULT_UPLOADED_TOAST: UseToastOptions = { - title: 'Image Uploaded', + title: t('toast.imageUploaded'), status: 'success', }; @@ -57,8 +63,8 @@ export const addImageUploadedFulfilledListener = () => { // Fall back to just the board id if we can't find the board for some reason const board = data?.find((b) => b.board_id === autoAddBoardId); const description = board - ? `Added to board ${board.board_name}` - : `Added to board ${autoAddBoardId}`; + ? `${t('toast.addedToBoard')} ${board.board_name}` + : `${t('toast.addedToBoard')} ${autoAddBoardId}`; dispatch( addToast({ @@ -75,7 +81,7 @@ export const addImageUploadedFulfilledListener = () => { dispatch( addToast({ ...DEFAULT_UPLOADED_TOAST, - description: 'Set as canvas initial image', + description: t('toast.setCanvasInitialImage'), }) ); return; @@ -83,6 +89,12 @@ export const addImageUploadedFulfilledListener = () => { if (postUploadAction?.type === 'SET_CONTROLNET_IMAGE') { const { controlNetId } = postUploadAction; + dispatch( + controlNetIsEnabledChanged({ + controlNetId, + isEnabled: true, + }) + ); dispatch( controlNetImageChanged({ controlNetId, @@ -92,7 +104,19 @@ export const addImageUploadedFulfilledListener = () => { dispatch( addToast({ ...DEFAULT_UPLOADED_TOAST, - description: 'Set as control image', + description: t('toast.setControlImage'), + }) + ); + return; + } + + if (postUploadAction?.type === 'SET_IP_ADAPTER_IMAGE') { + dispatch(ipAdapterImageChanged(imageDTO)); + dispatch(isIPAdapterEnabledChanged(true)); + dispatch( + addToast({ + ...DEFAULT_UPLOADED_TOAST, + description: t('toast.setIPAdapterImage'), }) ); return; @@ -103,7 +127,7 @@ export const addImageUploadedFulfilledListener = () => { dispatch( addToast({ ...DEFAULT_UPLOADED_TOAST, - description: 'Set as initial image', + description: t('toast.setInitialImage'), }) ); return; @@ -117,7 +141,7 @@ export const addImageUploadedFulfilledListener = () => { dispatch( addToast({ ...DEFAULT_UPLOADED_TOAST, - description: `Set as node field ${fieldName}`, + description: `${t('toast.setNodeField')} ${fieldName}`, }) ); return; @@ -140,7 +164,7 @@ export const addImageUploadedRejectedListener = () => { log.error({ ...sanitizedData }, 'Image upload failed'); dispatch( addToast({ - title: 'Image Upload Failed', + title: t('toast.imageUploadFailed'), description: action.error.message, status: 'error', }) diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts index 240890f043..ba42fce950 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts @@ -1,6 +1,9 @@ import { logger } from 'app/logging/logger'; import { setBoundingBoxDimensions } from 'features/canvas/store/canvasSlice'; -import { controlNetRemoved } from 'features/controlNet/store/controlNetSlice'; +import { + controlNetRemoved, + ipAdapterStateReset, +} from 'features/controlNet/store/controlNetSlice'; import { loraRemoved } from 'features/lora/store/loraSlice'; import { modelSelected } from 'features/parameters/store/actions'; import { @@ -14,6 +17,7 @@ import { addToast } from 'features/system/store/systemSlice'; import { makeToast } from 'features/system/util/makeToast'; import { forEach } from 'lodash-es'; import { startAppListening } from '..'; +import { t } from 'i18next'; export const addModelSelectedListener = () => { startAppListening({ @@ -55,6 +59,7 @@ export const addModelSelectedListener = () => { modelsCleared += 1; } + // handle incompatible controlnets const { controlNets } = state.controlNet; forEach(controlNets, (controlNet, controlNetId) => { if (controlNet.model?.base_model !== base_model) { @@ -63,11 +68,23 @@ export const addModelSelectedListener = () => { } }); + // handle incompatible IP-Adapter + const { ipAdapterInfo } = state.controlNet; + if ( + ipAdapterInfo.model && + ipAdapterInfo.model.base_model !== base_model + ) { + dispatch(ipAdapterStateReset()); + modelsCleared += 1; + } + if (modelsCleared > 0) { dispatch( addToast( makeToast({ - title: `Base model changed, cleared ${modelsCleared} incompatible submodel${ + title: `${t( + 'toast.baseModelChangedCleared' + )} ${modelsCleared} ${t('toast.incompatibleSubmodel')}${ modelsCleared === 1 ? '' : 's' }`, status: 'warning', diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/promptChanged.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/promptChanged.ts new file mode 100644 index 0000000000..a48a84a30f --- /dev/null +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/promptChanged.ts @@ -0,0 +1,67 @@ +import { isAnyOf } from '@reduxjs/toolkit'; +import { + combinatorialToggled, + isErrorChanged, + isLoadingChanged, + maxPromptsChanged, + maxPromptsReset, + parsingErrorChanged, + promptsChanged, +} from 'features/dynamicPrompts/store/dynamicPromptsSlice'; +import { setPositivePrompt } from 'features/parameters/store/generationSlice'; +import { utilitiesApi } from 'services/api/endpoints/utilities'; +import { appSocketConnected } from 'services/events/actions'; +import { startAppListening } from '..'; + +const matcher = isAnyOf( + setPositivePrompt, + combinatorialToggled, + maxPromptsChanged, + maxPromptsReset, + appSocketConnected +); + +export const addDynamicPromptsListener = () => { + startAppListening({ + matcher, + effect: async ( + action, + { dispatch, getState, cancelActiveListeners, delay } + ) => { + // debounce request + cancelActiveListeners(); + await delay(1000); + + const state = getState(); + + if (state.config.disabledFeatures.includes('dynamicPrompting')) { + return; + } + + const { positivePrompt } = state.generation; + const { maxPrompts } = state.dynamicPrompts; + + dispatch(isLoadingChanged(true)); + + try { + const req = dispatch( + utilitiesApi.endpoints.dynamicPrompts.initiate({ + prompt: positivePrompt, + max_prompts: maxPrompts, + }) + ); + + const res = await req.unwrap(); + req.unsubscribe(); + + dispatch(promptsChanged(res.prompts)); + dispatch(parsingErrorChanged(res.error)); + dispatch(isErrorChanged(false)); + dispatch(isLoadingChanged(false)); + } catch { + dispatch(isErrorChanged(true)); + dispatch(isLoadingChanged(false)); + } + }, + }); +}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/receivedOpenAPISchema.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/receivedOpenAPISchema.ts index dd86c77735..5599913a18 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/receivedOpenAPISchema.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/receivedOpenAPISchema.ts @@ -9,13 +9,17 @@ import { startAppListening } from '..'; export const addReceivedOpenAPISchemaListener = () => { startAppListening({ actionCreator: receivedOpenAPISchema.fulfilled, - effect: (action, { dispatch }) => { + effect: (action, { dispatch, getState }) => { const log = logger('system'); const schemaJSON = action.payload; log.debug({ schemaJSON }, 'Received OpenAPI schema'); - - const nodeTemplates = parseSchema(schemaJSON); + const { nodesAllowlist, nodesDenylist } = getState().config; + const nodeTemplates = parseSchema( + schemaJSON, + nodesAllowlist, + nodesDenylist + ); log.debug( { nodeTemplates: parseify(nodeTemplates) }, diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/sessionReadyToInvoke.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/sessionReadyToInvoke.ts deleted file mode 100644 index 0267eb629b..0000000000 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/sessionReadyToInvoke.ts +++ /dev/null @@ -1,18 +0,0 @@ -import { logger } from 'app/logging/logger'; -import { sessionReadyToInvoke } from 'features/system/store/actions'; -import { sessionInvoked } from 'services/api/thunks/session'; -import { startAppListening } from '..'; - -export const addSessionReadyToInvokeListener = () => { - startAppListening({ - actionCreator: sessionReadyToInvoke, - effect: (action, { getState, dispatch }) => { - const log = logger('session'); - const { sessionId: session_id } = getState().system; - if (session_id) { - log.debug({ session_id }, `Session ready to invoke (${session_id})})`); - dispatch(sessionInvoked({ session_id })); - } - }, - }); -}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts index 739bbd7110..9957b7f117 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts @@ -1,11 +1,10 @@ import { logger } from 'app/logging/logger'; -import { LIST_TAG } from 'services/api'; -import { appInfoApi } from 'services/api/endpoints/appInfo'; -import { modelsApi } from 'services/api/endpoints/models'; +import { size } from 'lodash-es'; +import { api } from 'services/api'; import { receivedOpenAPISchema } from 'services/api/thunks/schema'; import { appSocketConnected, socketConnected } from 'services/events/actions'; import { startAppListening } from '../..'; -import { size } from 'lodash-es'; +import { isInitializedChanged } from 'features/system/store/systemSlice'; export const addSocketConnectedEventListener = () => { startAppListening({ @@ -15,7 +14,7 @@ export const addSocketConnectedEventListener = () => { log.debug('Connected'); - const { nodes, config } = getState(); + const { nodes, config, system } = getState(); const { disabledTabs } = config; @@ -23,22 +22,15 @@ export const addSocketConnectedEventListener = () => { dispatch(receivedOpenAPISchema()); } + if (system.isInitialized) { + // only reset the query caches if this connect event is a *reconnect* event + dispatch(api.util.resetApiState()); + } else { + dispatch(isInitializedChanged(true)); + } + // pass along the socket event as an application action dispatch(appSocketConnected(action.payload)); - - // update all server state - dispatch( - modelsApi.util.invalidateTags([ - { type: 'MainModel', id: LIST_TAG }, - { type: 'SDXLRefinerModel', id: LIST_TAG }, - { type: 'LoRAModel', id: LIST_TAG }, - { type: 'ControlNetModel', id: LIST_TAG }, - { type: 'VaeModel', id: LIST_TAG }, - { type: 'TextualInversionModel', id: LIST_TAG }, - { type: 'ScannedModels', id: LIST_TAG }, - ]) - ); - dispatch(appInfoApi.util.invalidateTags(['AppConfig', 'AppVersion'])); }, }); }; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketDisconnected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketDisconnected.ts index dfbdd25595..80e6fb0813 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketDisconnected.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketDisconnected.ts @@ -11,6 +11,7 @@ export const addSocketDisconnectedEventListener = () => { effect: (action, { dispatch }) => { const log = logger('socketio'); log.debug('Disconnected'); + // pass along the socket event as an application action dispatch(appSocketDisconnected(action.payload)); }, diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketGeneratorProgress.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketGeneratorProgress.ts index 72fa317037..44d6ceed63 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketGeneratorProgress.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketGeneratorProgress.ts @@ -8,25 +8,11 @@ import { startAppListening } from '../..'; export const addGeneratorProgressEventListener = () => { startAppListening({ actionCreator: socketGeneratorProgress, - effect: (action, { dispatch, getState }) => { + effect: (action, { dispatch }) => { const log = logger('socketio'); - if ( - getState().system.canceledSession === - action.payload.data.graph_execution_state_id - ) { - log.trace( - action.payload, - 'Ignored generator progress for canceled session' - ); - return; - } - log.trace( - action.payload, - `Generator progress (${action.payload.data.node.type})` - ); + log.trace(action.payload, `Generator progress`); - // pass along the socket event as an application action dispatch(appSocketGeneratorProgress(action.payload)); }, }); diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts index 5501f208fd..7e918410a7 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts @@ -8,10 +8,8 @@ import { } from 'features/gallery/store/gallerySlice'; import { IMAGE_CATEGORIES } from 'features/gallery/store/types'; import { CANVAS_OUTPUT } from 'features/nodes/util/graphBuilders/constants'; -import { progressImageSet } from 'features/system/store/systemSlice'; import { imagesApi } from 'services/api/endpoints/images'; import { isImageOutput } from 'services/api/guards'; -import { sessionCanceled } from 'services/api/thunks/session'; import { imagesAdapter } from 'services/api/util'; import { appSocketInvocationComplete, @@ -19,7 +17,8 @@ import { } from 'services/events/actions'; import { startAppListening } from '../..'; -const nodeDenylist = ['load_image']; +// These nodes output an image, but do not actually *save* an image, so we don't want to handle the gallery logic on them +const nodeDenylist = ['load_image', 'image']; export const addInvocationCompleteEventListener = () => { startAppListening({ @@ -31,30 +30,22 @@ export const addInvocationCompleteEventListener = () => { { data: parseify(data) }, `Invocation complete (${action.payload.data.node.type})` ); - const session_id = action.payload.data.graph_execution_state_id; - const { cancelType, isCancelScheduled } = getState().system; - - // Handle scheduled cancelation - if (cancelType === 'scheduled' && isCancelScheduled) { - dispatch(sessionCanceled({ session_id })); - } - - const { result, node, graph_execution_state_id } = data; + const { result, node, queue_batch_id } = data; // This complete event has an associated image output if (isImageOutput(result) && !nodeDenylist.includes(node.type)) { const { image_name } = result.image; const { canvas, gallery } = getState(); + // This populates the `getImageDTO` cache const imageDTO = await dispatch( imagesApi.endpoints.getImageDTO.initiate(image_name) ).unwrap(); // Add canvas images to the staging area if ( - graph_execution_state_id === - canvas.layerState.stagingArea.sessionId && + canvas.batchIds.includes(queue_batch_id) && [CANVAS_OUTPUT].includes(data.source_node_id) ) { dispatch(addImageToStagingArea(imageDTO)); @@ -63,59 +54,39 @@ export const addInvocationCompleteEventListener = () => { if (!imageDTO.is_intermediate) { /** * Cache updates for when an image result is received - * - *add* to getImageDTO - * - IF `autoAddBoardId` is set: - * - THEN add it to the board_id/images - * - ELSE (`autoAddBoardId` is not set): - * - THEN add it to the no_board/images + * - add it to the no_board/images */ - const { autoAddBoardId } = gallery; - if (autoAddBoardId && autoAddBoardId !== 'none') { - dispatch( - imagesApi.endpoints.addImageToBoard.initiate({ - board_id: autoAddBoardId, - imageDTO, - }) - ); - } else { - dispatch( - imagesApi.util.updateQueryData( - 'listImages', - { - board_id: 'none', - categories: IMAGE_CATEGORIES, - }, - (draft) => { - imagesAdapter.addOne(draft, imageDTO); - } - ) - ); - } + dispatch( + imagesApi.util.updateQueryData( + 'listImages', + { + board_id: imageDTO.board_id ?? 'none', + categories: IMAGE_CATEGORIES, + }, + (draft) => { + imagesAdapter.addOne(draft, imageDTO); + } + ) + ); dispatch( imagesApi.util.invalidateTags([ - { type: 'BoardImagesTotal', id: autoAddBoardId }, - { type: 'BoardAssetsTotal', id: autoAddBoardId }, + { type: 'BoardImagesTotal', id: imageDTO.board_id }, + { type: 'BoardAssetsTotal', id: imageDTO.board_id }, ]) ); - const { selectedBoardId, shouldAutoSwitch } = gallery; + const { shouldAutoSwitch } = gallery; // If auto-switch is enabled, select the new image if (shouldAutoSwitch) { // if auto-add is enabled, switch the board as the image comes in - if (autoAddBoardId && autoAddBoardId !== selectedBoardId) { - dispatch(boardIdSelected(autoAddBoardId)); - dispatch(galleryViewChanged('images')); - } else if (!autoAddBoardId) { - dispatch(galleryViewChanged('images')); - } + dispatch(galleryViewChanged('images')); + dispatch(boardIdSelected(imageDTO.board_id ?? 'none')); dispatch(imageSelected(imageDTO)); } } - - dispatch(progressImageSet(null)); } // pass along the socket event as an application action dispatch(appSocketInvocationComplete(action.payload)); diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationStarted.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationStarted.ts index 4e77811762..50f52e2851 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationStarted.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationStarted.ts @@ -8,23 +8,14 @@ import { startAppListening } from '../..'; export const addInvocationStartedEventListener = () => { startAppListening({ actionCreator: socketInvocationStarted, - effect: (action, { dispatch, getState }) => { + effect: (action, { dispatch }) => { const log = logger('socketio'); - if ( - getState().system.canceledSession === - action.payload.data.graph_execution_state_id - ) { - log.trace( - action.payload, - 'Ignored invocation started for canceled session' - ); - return; - } log.debug( action.payload, `Invocation started (${action.payload.data.node.type})` ); + dispatch(appSocketInvocationStarted(action.payload)); }, }); diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketQueueItemStatusChanged.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketQueueItemStatusChanged.ts new file mode 100644 index 0000000000..b0377e950b --- /dev/null +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketQueueItemStatusChanged.ts @@ -0,0 +1,53 @@ +import { logger } from 'app/logging/logger'; +import { queueApi, queueItemsAdapter } from 'services/api/endpoints/queue'; +import { + appSocketQueueItemStatusChanged, + socketQueueItemStatusChanged, +} from 'services/events/actions'; +import { startAppListening } from '../..'; + +export const addSocketQueueItemStatusChangedEventListener = () => { + startAppListening({ + actionCreator: socketQueueItemStatusChanged, + effect: async (action, { dispatch }) => { + const log = logger('socketio'); + const { + queue_item_id: item_id, + queue_batch_id, + status, + } = action.payload.data; + log.debug( + action.payload, + `Queue item ${item_id} status updated: ${status}` + ); + dispatch(appSocketQueueItemStatusChanged(action.payload)); + + dispatch( + queueApi.util.updateQueryData('listQueueItems', undefined, (draft) => { + queueItemsAdapter.updateOne(draft, { + id: item_id, + changes: action.payload.data, + }); + }) + ); + + dispatch( + queueApi.util.invalidateTags([ + 'CurrentSessionQueueItem', + 'NextSessionQueueItem', + { type: 'SessionQueueItem', id: item_id }, + { type: 'SessionQueueItemDTO', id: item_id }, + { type: 'BatchStatus', id: queue_batch_id }, + ]) + ); + + const req = dispatch( + queueApi.endpoints.getQueueStatus.initiate(undefined, { + forceRefetch: true, + }) + ); + await req.unwrap(); + req.unsubscribe(); + }, + }); +}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketSubscribed.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketSubscribed.ts index a05527790e..1f9354ee67 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketSubscribed.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketSubscribed.ts @@ -1,14 +1,17 @@ import { logger } from 'app/logging/logger'; -import { appSocketSubscribed, socketSubscribed } from 'services/events/actions'; +import { + appSocketSubscribedSession, + socketSubscribedSession, +} from 'services/events/actions'; import { startAppListening } from '../..'; export const addSocketSubscribedEventListener = () => { startAppListening({ - actionCreator: socketSubscribed, + actionCreator: socketSubscribedSession, effect: (action, { dispatch }) => { const log = logger('socketio'); log.debug(action.payload, 'Subscribed'); - dispatch(appSocketSubscribed(action.payload)); + dispatch(appSocketSubscribedSession(action.payload)); }, }); }; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketUnsubscribed.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketUnsubscribed.ts index a8076ee1b7..2f4f65edc6 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketUnsubscribed.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketUnsubscribed.ts @@ -1,17 +1,17 @@ import { logger } from 'app/logging/logger'; import { - appSocketUnsubscribed, - socketUnsubscribed, + appSocketUnsubscribedSession, + socketUnsubscribedSession, } from 'services/events/actions'; import { startAppListening } from '../..'; export const addSocketUnsubscribedEventListener = () => { startAppListening({ - actionCreator: socketUnsubscribed, + actionCreator: socketUnsubscribedSession, effect: (action, { dispatch }) => { const log = logger('socketio'); log.debug(action.payload, 'Unsubscribed'); - dispatch(appSocketUnsubscribed(action.payload)); + dispatch(appSocketUnsubscribedSession(action.payload)); }, }); }; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/stagingAreaImageSaved.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/stagingAreaImageSaved.ts index b14e18ea63..c00cf78beb 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/stagingAreaImageSaved.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/stagingAreaImageSaved.ts @@ -2,6 +2,7 @@ import { stagingAreaImageSaved } from 'features/canvas/store/actions'; import { addToast } from 'features/system/store/systemSlice'; import { imagesApi } from 'services/api/endpoints/images'; import { startAppListening } from '..'; +import { t } from 'i18next'; export const addStagingAreaImageSavedListener = () => { startAppListening({ @@ -28,11 +29,11 @@ export const addStagingAreaImageSavedListener = () => { }) ); } - dispatch(addToast({ title: 'Image Saved', status: 'success' })); + dispatch(addToast({ title: t('toast.imageSaved'), status: 'success' })); } catch (error) { dispatch( addToast({ - title: 'Image Saving Failed', + title: t('toast.imageSavingFailed'), description: (error as Error)?.message, status: 'error', }) diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/upscaleRequested.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/upscaleRequested.ts index 75980a65e4..b54d8b553c 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/upscaleRequested.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/upscaleRequested.ts @@ -1,7 +1,10 @@ import { createAction } from '@reduxjs/toolkit'; +import { logger } from 'app/logging/logger'; +import { parseify } from 'common/util/serialize'; import { buildAdHocUpscaleGraph } from 'features/nodes/util/graphBuilders/buildAdHocUpscaleGraph'; -import { sessionReadyToInvoke } from 'features/system/store/actions'; -import { sessionCreated } from 'services/api/thunks/session'; +import { addToast } from 'features/system/store/systemSlice'; +import { t } from 'i18next'; +import { queueApi } from 'services/api/endpoints/queue'; import { startAppListening } from '..'; export const upscaleRequested = createAction<{ image_name: string }>( @@ -11,21 +14,45 @@ export const upscaleRequested = createAction<{ image_name: string }>( export const addUpscaleRequestedListener = () => { startAppListening({ actionCreator: upscaleRequested, - effect: async (action, { dispatch, getState, take }) => { + effect: async (action, { dispatch, getState }) => { + const log = logger('session'); + const { image_name } = action.payload; - const { esrganModelName } = getState().postprocessing; + const state = getState(); + const { esrganModelName } = state.postprocessing; + const { autoAddBoardId } = state.gallery; const graph = buildAdHocUpscaleGraph({ image_name, esrganModelName, + autoAddBoardId, }); - // Create a session to run the graph & wait til it's ready to invoke - dispatch(sessionCreated({ graph })); + try { + const req = dispatch( + queueApi.endpoints.enqueueGraph.initiate( + { graph, prepend: true }, + { + fixedCacheKey: 'enqueueGraph', + } + ) + ); - await take(sessionCreated.fulfilled.match); - - dispatch(sessionReadyToInvoke()); + const enqueueResult = await req.unwrap(); + req.reset(); + log.debug( + { enqueueResult: parseify(enqueueResult) }, + t('queue.graphQueued') + ); + } catch { + log.error({ graph: parseify(graph) }, t('queue.graphFailedToQueue')); + dispatch( + addToast({ + title: t('queue.graphFailedToQueue'), + status: 'error', + }) + ); + } }, }); }; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedImageToImage.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedImageToImage.ts deleted file mode 100644 index b0172e693b..0000000000 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedImageToImage.ts +++ /dev/null @@ -1,38 +0,0 @@ -import { logger } from 'app/logging/logger'; -import { userInvoked } from 'app/store/actions'; -import { parseify } from 'common/util/serialize'; -import { imageToImageGraphBuilt } from 'features/nodes/store/actions'; -import { buildLinearImageToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearImageToImageGraph'; -import { buildLinearSDXLImageToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph'; -import { sessionReadyToInvoke } from 'features/system/store/actions'; -import { sessionCreated } from 'services/api/thunks/session'; -import { startAppListening } from '..'; - -export const addUserInvokedImageToImageListener = () => { - startAppListening({ - predicate: (action): action is ReturnType => - userInvoked.match(action) && action.payload === 'img2img', - effect: async (action, { getState, dispatch, take }) => { - const log = logger('session'); - const state = getState(); - const model = state.generation.model; - - let graph; - - if (model && model.base_model === 'sdxl') { - graph = buildLinearSDXLImageToImageGraph(state); - } else { - graph = buildLinearImageToImageGraph(state); - } - - dispatch(imageToImageGraphBuilt(graph)); - log.debug({ graph: parseify(graph) }, 'Image to Image graph built'); - - dispatch(sessionCreated({ graph })); - - await take(sessionCreated.fulfilled.match); - - dispatch(sessionReadyToInvoke()); - }, - }); -}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedNodes.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedNodes.ts deleted file mode 100644 index 5894bba5df..0000000000 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedNodes.ts +++ /dev/null @@ -1,29 +0,0 @@ -import { logger } from 'app/logging/logger'; -import { userInvoked } from 'app/store/actions'; -import { parseify } from 'common/util/serialize'; -import { nodesGraphBuilt } from 'features/nodes/store/actions'; -import { buildNodesGraph } from 'features/nodes/util/graphBuilders/buildNodesGraph'; -import { sessionReadyToInvoke } from 'features/system/store/actions'; -import { sessionCreated } from 'services/api/thunks/session'; -import { startAppListening } from '..'; - -export const addUserInvokedNodesListener = () => { - startAppListening({ - predicate: (action): action is ReturnType => - userInvoked.match(action) && action.payload === 'nodes', - effect: async (action, { getState, dispatch, take }) => { - const log = logger('session'); - const state = getState(); - - const graph = buildNodesGraph(state.nodes); - dispatch(nodesGraphBuilt(graph)); - log.debug({ graph: parseify(graph) }, 'Nodes graph built'); - - dispatch(sessionCreated({ graph })); - - await take(sessionCreated.fulfilled.match); - - dispatch(sessionReadyToInvoke()); - }, - }); -}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedTextToImage.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedTextToImage.ts deleted file mode 100644 index f1cdabcabd..0000000000 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedTextToImage.ts +++ /dev/null @@ -1,39 +0,0 @@ -import { logger } from 'app/logging/logger'; -import { userInvoked } from 'app/store/actions'; -import { parseify } from 'common/util/serialize'; -import { textToImageGraphBuilt } from 'features/nodes/store/actions'; -import { buildLinearSDXLTextToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph'; -import { buildLinearTextToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearTextToImageGraph'; -import { sessionReadyToInvoke } from 'features/system/store/actions'; -import { sessionCreated } from 'services/api/thunks/session'; -import { startAppListening } from '..'; - -export const addUserInvokedTextToImageListener = () => { - startAppListening({ - predicate: (action): action is ReturnType => - userInvoked.match(action) && action.payload === 'txt2img', - effect: async (action, { getState, dispatch, take }) => { - const log = logger('session'); - const state = getState(); - const model = state.generation.model; - - let graph; - - if (model && model.base_model === 'sdxl') { - graph = buildLinearSDXLTextToImageGraph(state); - } else { - graph = buildLinearTextToImageGraph(state); - } - - dispatch(textToImageGraphBuilt(graph)); - - log.debug({ graph: parseify(graph) }, 'Text to Image graph built'); - - dispatch(sessionCreated({ graph })); - - await take(sessionCreated.fulfilled.match); - - dispatch(sessionReadyToInvoke()); - }, - }); -}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/util/enqueueBatch.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/util/enqueueBatch.ts new file mode 100644 index 0000000000..1d5a1232c8 --- /dev/null +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/util/enqueueBatch.ts @@ -0,0 +1,54 @@ +import { logger } from 'app/logging/logger'; +import { AppThunkDispatch } from 'app/store/store'; +import { parseify } from 'common/util/serialize'; +import { addToast } from 'features/system/store/systemSlice'; +import { t } from 'i18next'; +import { queueApi } from 'services/api/endpoints/queue'; +import { BatchConfig } from 'services/api/types'; + +export const enqueueBatch = async ( + batchConfig: BatchConfig, + dispatch: AppThunkDispatch +) => { + const log = logger('session'); + const { prepend } = batchConfig; + + try { + const req = dispatch( + queueApi.endpoints.enqueueBatch.initiate(batchConfig, { + fixedCacheKey: 'enqueueBatch', + }) + ); + const enqueueResult = await req.unwrap(); + req.reset(); + + dispatch( + queueApi.endpoints.resumeProcessor.initiate(undefined, { + fixedCacheKey: 'resumeProcessor', + }) + ); + + log.debug({ enqueueResult: parseify(enqueueResult) }, 'Batch enqueued'); + dispatch( + addToast({ + title: t('queue.batchQueued'), + description: t('queue.batchQueuedDesc', { + item_count: enqueueResult.enqueued, + direction: prepend ? t('queue.front') : t('queue.back'), + }), + status: 'success', + }) + ); + } catch { + log.error( + { batchConfig: parseify(batchConfig) }, + t('queue.batchFailedToQueue') + ); + dispatch( + addToast({ + title: t('queue.batchFailedToQueue'), + status: 'error', + }) + ); + } +}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/workflowLoaded.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/workflowLoaded.ts index c447720941..de697a70e5 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/workflowLoaded.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/workflowLoaded.ts @@ -7,6 +7,7 @@ import { addToast } from 'features/system/store/systemSlice'; import { makeToast } from 'features/system/util/makeToast'; import { setActiveTab } from 'features/ui/store/uiSlice'; import { startAppListening } from '..'; +import { t } from 'i18next'; export const addWorkflowLoadedListener = () => { startAppListening({ @@ -27,7 +28,7 @@ export const addWorkflowLoadedListener = () => { dispatch( addToast( makeToast({ - title: 'Workflow Loaded', + title: t('toast.workflowLoaded'), status: 'success', }) ) @@ -36,7 +37,7 @@ export const addWorkflowLoadedListener = () => { dispatch( addToast( makeToast({ - title: 'Workflow Loaded with Warnings', + title: t('toast.loadedWithWarnings'), status: 'warning', }) ) diff --git a/invokeai/frontend/web/src/app/store/nanostores/customStarUI.ts b/invokeai/frontend/web/src/app/store/nanostores/customStarUI.ts new file mode 100644 index 0000000000..0459c2f31f --- /dev/null +++ b/invokeai/frontend/web/src/app/store/nanostores/customStarUI.ts @@ -0,0 +1,14 @@ +import { MenuItemProps } from '@chakra-ui/react'; +import { atom } from 'nanostores'; + +export type CustomStarUi = { + on: { + icon: MenuItemProps['icon']; + text: string; + }; + off: { + icon: MenuItemProps['icon']; + text: string; + }; +}; +export const $customStarUI = atom(undefined); diff --git a/invokeai/frontend/web/src/app/store/nanostores/headerComponent.ts b/invokeai/frontend/web/src/app/store/nanostores/headerComponent.ts new file mode 100644 index 0000000000..90a4775ff9 --- /dev/null +++ b/invokeai/frontend/web/src/app/store/nanostores/headerComponent.ts @@ -0,0 +1,4 @@ +import { atom } from 'nanostores'; +import { ReactNode } from 'react'; + +export const $headerComponent = atom(undefined); diff --git a/invokeai/frontend/web/src/app/store/nanostores/index.ts b/invokeai/frontend/web/src/app/store/nanostores/index.ts new file mode 100644 index 0000000000..ae43ed3035 --- /dev/null +++ b/invokeai/frontend/web/src/app/store/nanostores/index.ts @@ -0,0 +1,3 @@ +/** + * For non-serializable data that needs to be available throughout the app, or when redux is not appropriate, use nanostores. + */ diff --git a/invokeai/frontend/web/src/app/store/nanostores/store.ts b/invokeai/frontend/web/src/app/store/nanostores/store.ts new file mode 100644 index 0000000000..c9f041fa5d --- /dev/null +++ b/invokeai/frontend/web/src/app/store/nanostores/store.ts @@ -0,0 +1,5 @@ +import { Store } from '@reduxjs/toolkit'; +import { atom } from 'nanostores'; + +// eslint-disable-next-line @typescript-eslint/no-explicit-any +export const $store = atom | undefined>(); diff --git a/invokeai/frontend/web/src/app/store/store.ts b/invokeai/frontend/web/src/app/store/store.ts index ce2a21c6e7..b9bbe4f06b 100644 --- a/invokeai/frontend/web/src/app/store/store.ts +++ b/invokeai/frontend/web/src/app/store/store.ts @@ -18,6 +18,7 @@ import postprocessingReducer from 'features/parameters/store/postprocessingSlice import sdxlReducer from 'features/sdxl/store/sdxlSlice'; import configReducer from 'features/system/store/configSlice'; import systemReducer from 'features/system/store/systemSlice'; +import queueReducer from 'features/queue/store/queueSlice'; import modelmanagerReducer from 'features/ui/components/tabs/ModelManager/store/modelManagerSlice'; import hotkeysReducer from 'features/ui/store/hotkeysSlice'; import uiReducer from 'features/ui/store/uiSlice'; @@ -31,6 +32,7 @@ import { actionSanitizer } from './middleware/devtools/actionSanitizer'; import { actionsDenylist } from './middleware/devtools/actionsDenylist'; import { stateSanitizer } from './middleware/devtools/stateSanitizer'; import { listenerMiddleware } from './middleware/listenerMiddleware'; +import { $store } from './nanostores/store'; const allReducers = { canvas: canvasReducer, @@ -49,6 +51,7 @@ const allReducers = { lora: loraReducer, modelmanager: modelmanagerReducer, sdxl: sdxlReducer, + queue: queueReducer, [api.reducerPath]: api.reducer, }; @@ -87,8 +90,8 @@ export const store = configureStore({ }, middleware: (getDefaultMiddleware) => getDefaultMiddleware({ - immutableCheck: false, serializableCheck: false, + immutableCheck: false, }) .concat(api.middleware) .concat(dynamicMiddlewares) @@ -124,3 +127,4 @@ export type RootState = ReturnType; export type AppThunkDispatch = ThunkDispatch; export type AppDispatch = typeof store.dispatch; export const stateSelector = (state: RootState) => state; +$store.set(store); diff --git a/invokeai/frontend/web/src/app/types/invokeai.ts b/invokeai/frontend/web/src/app/types/invokeai.ts index a39ed2ca7b..2cb2173b19 100644 --- a/invokeai/frontend/web/src/app/types/invokeai.ts +++ b/invokeai/frontend/web/src/app/types/invokeai.ts @@ -18,7 +18,11 @@ export type AppFeature = | 'dynamicPrompting' | 'batches' | 'syncModels' - | 'multiselect'; + | 'multiselect' + | 'pauseQueue' + | 'resumeQueue' + | 'prependQueue' + | 'invocationCache'; /** * A disable-able Stable Diffusion feature @@ -45,10 +49,13 @@ export type AppConfig = { * Whether or not we should update image urls when image loading errors */ shouldUpdateImagesOnConnect: boolean; + shouldFetchMetadataFromApi: boolean; disabledTabs: InvokeTabName[]; disabledFeatures: AppFeature[]; disabledSDFeatures: SDFeature[]; canRestoreDeletedImagesFromBin: boolean; + nodesAllowlist: string[] | undefined; + nodesDenylist: string[] | undefined; sd: { defaultModel?: string; disabledControlNetModels: string[]; diff --git a/invokeai/frontend/web/src/common/components/GreyscaleInvokeAIIcon.tsx b/invokeai/frontend/web/src/common/components/GreyscaleInvokeAIIcon.tsx new file mode 100644 index 0000000000..a6c6cdca18 --- /dev/null +++ b/invokeai/frontend/web/src/common/components/GreyscaleInvokeAIIcon.tsx @@ -0,0 +1,22 @@ +import { Box, Image } from '@chakra-ui/react'; +import InvokeAILogoImage from 'assets/images/logo.png'; +import { memo } from 'react'; + +const GreyscaleInvokeAIIcon = () => ( + + invoke-ai-logo + +); + +export default memo(GreyscaleInvokeAIIcon); diff --git a/invokeai/frontend/web/src/common/components/IAIDroppable.tsx b/invokeai/frontend/web/src/common/components/IAIDroppable.tsx index e4fb121c78..bf98961c21 100644 --- a/invokeai/frontend/web/src/common/components/IAIDroppable.tsx +++ b/invokeai/frontend/web/src/common/components/IAIDroppable.tsx @@ -31,7 +31,7 @@ const IAIDroppable = (props: IAIDroppableProps) => { insetInlineStart={0} w="full" h="full" - pointerEvents="none" + pointerEvents={active ? 'auto' : 'none'} > {isValidDrop(data, active) && ( diff --git a/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx b/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx index a150e4ed0c..ca61ea847f 100644 --- a/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx +++ b/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx @@ -1,7 +1,7 @@ import { As, - ChakraProps, Flex, + FlexProps, Icon, Skeleton, Spinner, @@ -47,15 +47,14 @@ export const IAILoadingImageFallback = (props: Props) => { ); }; -type IAINoImageFallbackProps = { +type IAINoImageFallbackProps = FlexProps & { label?: string; icon?: As | null; boxSize?: StyleProps['boxSize']; - sx?: ChakraProps['sx']; }; export const IAINoContentFallback = (props: IAINoImageFallbackProps) => { - const { icon = FaImage, boxSize = 16 } = props; + const { icon = FaImage, boxSize = 16, sx, ...rest } = props; return ( { _dark: { color: 'base.500', }, - ...props.sx, + ...sx, }} + {...rest} > {icon && } {props.label && {props.label}} diff --git a/invokeai/frontend/web/src/common/components/IAIInformationalPopover/IAIInformationalPopover.tsx b/invokeai/frontend/web/src/common/components/IAIInformationalPopover/IAIInformationalPopover.tsx new file mode 100644 index 0000000000..b58f8fc565 --- /dev/null +++ b/invokeai/frontend/web/src/common/components/IAIInformationalPopover/IAIInformationalPopover.tsx @@ -0,0 +1,155 @@ +import { + Box, + BoxProps, + Button, + Divider, + Flex, + Heading, + Image, + Popover, + PopoverBody, + PopoverCloseButton, + PopoverContent, + PopoverProps, + PopoverTrigger, + Portal, + Text, + forwardRef, +} from '@chakra-ui/react'; +import { merge, omit } from 'lodash-es'; +import { PropsWithChildren, memo, useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { FaExternalLinkAlt } from 'react-icons/fa'; +import { useAppSelector } from '../../../app/store/storeHooks'; +import { + Feature, + OPEN_DELAY, + POPOVER_DATA, + POPPER_MODIFIERS, +} from './constants'; + +type Props = PropsWithChildren & { + feature: Feature; + wrapperProps?: BoxProps; + popoverProps?: PopoverProps; +}; + +const IAIInformationalPopover = forwardRef( + ({ feature, children, wrapperProps, ...rest }: Props, ref) => { + const { t } = useTranslation(); + const shouldEnableInformationalPopovers = useAppSelector( + (state) => state.system.shouldEnableInformationalPopovers + ); + + const data = useMemo(() => POPOVER_DATA[feature], [feature]); + + const popoverProps = useMemo( + () => merge(omit(data, ['image', 'href', 'buttonLabel']), rest), + [data, rest] + ); + + const heading = useMemo( + () => t(`popovers.${feature}.heading`), + [feature, t] + ); + + const paragraphs = useMemo( + () => + t(`popovers.${feature}.paragraphs`, { + returnObjects: true, + }) ?? [], + [feature, t] + ); + + const handleClick = useCallback(() => { + if (!data?.href) { + return; + } + window.open(data.href); + }, [data?.href]); + + if (!shouldEnableInformationalPopovers) { + return ( + + {children} + + ); + } + + return ( + + + + {children} + + + + + + + + {heading && ( + <> + {heading} + + + )} + {data?.image && ( + <> + Optional Image + + + )} + {paragraphs.map((p) => ( + {p} + ))} + {data?.href && ( + <> + + + + )} + + + + + + ); + } +); + +IAIInformationalPopover.displayName = 'IAIInformationalPopover'; + +export default memo(IAIInformationalPopover); diff --git a/invokeai/frontend/web/src/common/components/IAIInformationalPopover/constants.ts b/invokeai/frontend/web/src/common/components/IAIInformationalPopover/constants.ts new file mode 100644 index 0000000000..f2398483bf --- /dev/null +++ b/invokeai/frontend/web/src/common/components/IAIInformationalPopover/constants.ts @@ -0,0 +1,98 @@ +import { PopoverProps } from '@chakra-ui/react'; + +export type Feature = + | 'clipSkip' + | 'paramNegativeConditioning' + | 'paramPositiveConditioning' + | 'paramScheduler' + | 'compositingBlur' + | 'compositingBlurMethod' + | 'compositingCoherencePass' + | 'compositingCoherenceMode' + | 'compositingCoherenceSteps' + | 'compositingStrength' + | 'compositingMaskAdjustments' + | 'controlNetBeginEnd' + | 'controlNetControlMode' + | 'controlNetResizeMode' + | 'controlNet' + | 'controlNetWeight' + | 'dynamicPrompts' + | 'dynamicPromptsMaxPrompts' + | 'dynamicPromptsSeedBehaviour' + | 'infillMethod' + | 'lora' + | 'noiseUseCPU' + | 'paramCFGScale' + | 'paramDenoisingStrength' + | 'paramIterations' + | 'paramModel' + | 'paramRatio' + | 'paramSeed' + | 'paramSteps' + | 'paramVAE' + | 'paramVAEPrecision' + | 'scaleBeforeProcessing'; + +export type PopoverData = PopoverProps & { + image?: string; + href?: string; + buttonLabel?: string; +}; + +export const POPOVER_DATA: { [key in Feature]?: PopoverData } = { + paramNegativeConditioning: { + placement: 'right', + }, + controlNet: { + href: 'https://support.invoke.ai/support/solutions/articles/151000105880', + }, + lora: { + href: 'https://support.invoke.ai/support/solutions/articles/151000159072', + }, + compositingCoherenceMode: { + href: 'https://support.invoke.ai/support/solutions/articles/151000158838', + }, + infillMethod: { + href: 'https://support.invoke.ai/support/solutions/articles/151000158841', + }, + scaleBeforeProcessing: { + href: 'https://support.invoke.ai/support/solutions/articles/151000158841', + }, + paramIterations: { + href: 'https://support.invoke.ai/support/solutions/articles/151000159073', + }, + paramPositiveConditioning: { + href: 'https://support.invoke.ai/support/solutions/articles/151000096606-tips-on-crafting-prompts', + placement: 'right', + }, + paramScheduler: { + placement: 'right', + href: 'https://support.invoke.ai/support/solutions/articles/151000159073', + }, + paramModel: { + placement: 'right', + href: 'https://support.invoke.ai/support/solutions/articles/151000096601-what-is-a-model-which-should-i-use-', + }, + paramRatio: { + gutter: 16, + }, + controlNetControlMode: { + placement: 'right', + }, + controlNetResizeMode: { + placement: 'right', + }, + paramVAE: { + placement: 'right', + }, + paramVAEPrecision: { + placement: 'right', + }, +} as const; + +export const OPEN_DELAY = 1000; // in milliseconds + +export const POPPER_MODIFIERS: PopoverProps['modifiers'] = [ + { name: 'preventOverflow', options: { padding: 10 } }, +]; diff --git a/invokeai/frontend/web/src/common/components/IAIMantineMultiSelect.tsx b/invokeai/frontend/web/src/common/components/IAIMantineMultiSelect.tsx index 28c680b824..669fdb5788 100644 --- a/invokeai/frontend/web/src/common/components/IAIMantineMultiSelect.tsx +++ b/invokeai/frontend/web/src/common/components/IAIMantineMultiSelect.tsx @@ -1,4 +1,4 @@ -import { FormControl, FormLabel, Tooltip } from '@chakra-ui/react'; +import { FormControl, FormLabel, Tooltip, forwardRef } from '@chakra-ui/react'; import { MultiSelect, MultiSelectProps } from '@mantine/core'; import { useAppDispatch } from 'app/store/storeHooks'; import { shiftKeyPressed } from 'features/ui/store/hotkeysSlice'; @@ -11,7 +11,7 @@ type IAIMultiSelectProps = Omit & { label?: string; }; -const IAIMantineMultiSelect = (props: IAIMultiSelectProps) => { +const IAIMantineMultiSelect = forwardRef((props: IAIMultiSelectProps, ref) => { const { searchable = true, tooltip, @@ -44,25 +44,23 @@ const IAIMantineMultiSelect = (props: IAIMultiSelectProps) => { return ( - - {label} - - ) : undefined - } - ref={inputRef} - disabled={disabled} - onKeyDown={handleKeyDown} - onKeyUp={handleKeyUp} - searchable={searchable} - maxDropdownHeight={300} - styles={styles} - {...rest} - /> + + {label && {label}} + + ); -}; +}); + +IAIMantineMultiSelect.displayName = 'IAIMantineMultiSelect'; export default memo(IAIMantineMultiSelect); diff --git a/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx b/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx index 079421d4e5..f0bc52ab63 100644 --- a/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx +++ b/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx @@ -1,4 +1,4 @@ -import { FormControl, FormLabel, Tooltip } from '@chakra-ui/react'; +import { FormControl, FormLabel, Tooltip, forwardRef } from '@chakra-ui/react'; import { Select, SelectProps } from '@mantine/core'; import { useAppDispatch } from 'app/store/storeHooks'; import { shiftKeyPressed } from 'features/ui/store/hotkeysSlice'; @@ -17,7 +17,7 @@ type IAISelectProps = Omit & { inputRef?: RefObject; }; -const IAIMantineSearchableSelect = (props: IAISelectProps) => { +const IAIMantineSearchableSelect = forwardRef((props: IAISelectProps, ref) => { const { searchable = true, tooltip, @@ -70,28 +70,27 @@ const IAIMantineSearchableSelect = (props: IAISelectProps) => { return ( - + ); -}; +}); + +IAIMantineSearchableSelect.displayName = 'IAIMantineSearchableSelect'; export default memo(IAIMantineSearchableSelect); diff --git a/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx b/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx index 46b5fc95f6..f0d64f43c9 100644 --- a/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx +++ b/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx @@ -1,4 +1,4 @@ -import { FormControl, FormLabel, Tooltip } from '@chakra-ui/react'; +import { FormControl, FormLabel, Tooltip, forwardRef } from '@chakra-ui/react'; import { Select, SelectProps } from '@mantine/core'; import { useMantineSelectStyles } from 'mantine-theme/hooks/useMantineSelectStyles'; import { RefObject, memo } from 'react'; @@ -15,28 +15,21 @@ export type IAISelectProps = Omit & { label?: string; }; -const IAIMantineSelect = (props: IAISelectProps) => { +const IAIMantineSelect = forwardRef((props: IAISelectProps, ref) => { const { tooltip, inputRef, label, disabled, required, ...rest } = props; const styles = useMantineSelectStyles(); return ( - + ); -}; +}); + +IAIMantineSelect.displayName = 'IAIMantineSelect'; export default memo(IAIMantineSelect); diff --git a/invokeai/frontend/web/src/common/components/IAIMantineSelectItemWithDescription.tsx b/invokeai/frontend/web/src/common/components/IAIMantineSelectItemWithDescription.tsx new file mode 100644 index 0000000000..a61268c99e --- /dev/null +++ b/invokeai/frontend/web/src/common/components/IAIMantineSelectItemWithDescription.tsx @@ -0,0 +1,29 @@ +import { Box, Text } from '@chakra-ui/react'; +import { forwardRef, memo } from 'react'; + +interface ItemProps extends React.ComponentPropsWithoutRef<'div'> { + label: string; + value: string; + description?: string; +} + +const IAIMantineSelectItemWithDescription = forwardRef< + HTMLDivElement, + ItemProps +>(({ label, description, ...rest }: ItemProps, ref) => ( + + + {label} + {description && ( + + {description} + + )} + + +)); + +IAIMantineSelectItemWithDescription.displayName = + 'IAIMantineSelectItemWithDescription'; + +export default memo(IAIMantineSelectItemWithDescription); diff --git a/invokeai/frontend/web/src/common/components/IAINumberInput.tsx b/invokeai/frontend/web/src/common/components/IAINumberInput.tsx index de3b44564a..243dac9d63 100644 --- a/invokeai/frontend/web/src/common/components/IAINumberInput.tsx +++ b/invokeai/frontend/web/src/common/components/IAINumberInput.tsx @@ -13,6 +13,7 @@ import { NumberInputStepperProps, Tooltip, TooltipProps, + forwardRef, } from '@chakra-ui/react'; import { useAppDispatch } from 'app/store/storeHooks'; import { stopPastePropagation } from 'common/util/stopPastePropagation'; @@ -50,7 +51,7 @@ interface Props extends Omit { /** * Customized Chakra FormControl + NumberInput multi-part component. */ -const IAINumberInput = (props: Props) => { +const IAINumberInput = forwardRef((props: Props, ref) => { const { label, isDisabled = false, @@ -141,6 +142,7 @@ const IAINumberInput = (props: Props) => { return ( { ); -}; +}); + +IAINumberInput.displayName = 'IAINumberInput'; export default memo(IAINumberInput); diff --git a/invokeai/frontend/web/src/common/components/IAISlider.tsx b/invokeai/frontend/web/src/common/components/IAISlider.tsx index fd3eed754f..e879c00977 100644 --- a/invokeai/frontend/web/src/common/components/IAISlider.tsx +++ b/invokeai/frontend/web/src/common/components/IAISlider.tsx @@ -22,6 +22,7 @@ import { SliderTrackProps, Tooltip, TooltipProps, + forwardRef, } from '@chakra-ui/react'; import { useAppDispatch } from 'app/store/storeHooks'; import { roundDownToMultiple } from 'common/util/roundDownToMultiple'; @@ -71,7 +72,7 @@ export type IAIFullSliderProps = { sliderIAIIconButtonProps?: IAIIconButtonProps; }; -const IAISlider = (props: IAIFullSliderProps) => { +const IAISlider = forwardRef((props: IAIFullSliderProps, ref) => { const [showTooltip, setShowTooltip] = useState(false); const { label, @@ -187,6 +188,7 @@ const IAISlider = (props: IAIFullSliderProps) => { return ( { ); -}; +}); + +IAISlider.displayName = 'IAISlider'; export default memo(IAISlider); diff --git a/invokeai/frontend/web/src/common/components/IAISwitch.tsx b/invokeai/frontend/web/src/common/components/IAISwitch.tsx index da0883d77e..8773be49e5 100644 --- a/invokeai/frontend/web/src/common/components/IAISwitch.tsx +++ b/invokeai/frontend/web/src/common/components/IAISwitch.tsx @@ -72,4 +72,6 @@ const IAISwitch = (props: IAISwitchProps) => { ); }; +IAISwitch.displayName = 'IAISwitch'; + export default memo(IAISwitch); diff --git a/invokeai/frontend/web/src/common/components/ImageUploader.tsx b/invokeai/frontend/web/src/common/components/ImageUploader.tsx index bb341a63f6..59349e615d 100644 --- a/invokeai/frontend/web/src/common/components/ImageUploader.tsx +++ b/invokeai/frontend/web/src/common/components/ImageUploader.tsx @@ -4,7 +4,6 @@ import { useAppToaster } from 'app/components/Toaster'; import { stateSelector } from 'app/store/store'; import { useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; import { AnimatePresence, motion } from 'framer-motion'; import { @@ -51,7 +50,6 @@ type ImageUploaderProps = { const ImageUploader = (props: ImageUploaderProps) => { const { children } = props; const { autoAddBoardId, postUploadAction } = useAppSelector(selector); - const isBusy = useAppSelector(selectIsBusy); const toaster = useAppToaster(); const { t } = useTranslation(); const [isHandlingUpload, setIsHandlingUpload] = useState(false); @@ -106,6 +104,10 @@ const ImageUploader = (props: ImageUploaderProps) => { [t, toaster, fileAcceptedCallback, fileRejectionCallback] ); + const onDragOver = useCallback(() => { + setIsHandlingUpload(true); + }, []); + const { getRootProps, getInputProps, @@ -117,8 +119,7 @@ const ImageUploader = (props: ImageUploaderProps) => { accept: { 'image/png': ['.png'], 'image/jpeg': ['.jpg', '.jpeg', '.png'] }, noClick: true, onDrop, - onDragOver: () => setIsHandlingUpload(true), - disabled: isBusy, + onDragOver, multiple: false, }); diff --git a/invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts b/invokeai/frontend/web/src/common/hooks/useIsReadyToEnqueue.ts similarity index 60% rename from invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts rename to invokeai/frontend/web/src/common/hooks/useIsReadyToEnqueue.ts index 8eaabeeedf..77afeb4161 100644 --- a/invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts +++ b/invokeai/frontend/web/src/common/hooks/useIsReadyToEnqueue.ts @@ -4,37 +4,35 @@ import { useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import { isInvocationNode } from 'features/nodes/types/types'; import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; +import i18n from 'i18next'; import { forEach, map } from 'lodash-es'; import { getConnectedEdges } from 'reactflow'; const selector = createSelector( [stateSelector, activeTabNameSelector], - (state, activeTabName) => { - const { generation, system, nodes } = state; + ( + { controlNet, generation, system, nodes, dynamicPrompts }, + activeTabName + ) => { const { initialImage, model } = generation; - const { isProcessing, isConnected } = system; + const { isConnected } = system; const reasons: string[] = []; - // Cannot generate if already processing an image - if (isProcessing) { - reasons.push('System busy'); - } - // Cannot generate if not connected if (!isConnected) { - reasons.push('System disconnected'); + reasons.push(i18n.t('parameters.invoke.systemDisconnected')); } if (activeTabName === 'img2img' && !initialImage) { - reasons.push('No initial image selected'); + reasons.push(i18n.t('parameters.invoke.noInitialImageSelected')); } if (activeTabName === 'nodes') { if (nodes.shouldValidateGraph) { if (!nodes.nodes.length) { - reasons.push('No nodes in graph'); + reasons.push(i18n.t('parameters.invoke.noNodesInGraph')); } nodes.nodes.forEach((node) => { @@ -46,7 +44,7 @@ const selector = createSelector( if (!nodeTemplate) { // Node type not found - reasons.push('Missing node template'); + reasons.push(i18n.t('parameters.invoke.missingNodeTemplate')); return; } @@ -60,7 +58,7 @@ const selector = createSelector( ); if (!fieldTemplate) { - reasons.push('Missing field template'); + reasons.push(i18n.t('parameters.invoke.missingFieldTemplate')); return; } @@ -70,9 +68,10 @@ const selector = createSelector( !hasConnection ) { reasons.push( - `${node.data.label || nodeTemplate.title} -> ${ - field.label || fieldTemplate.title - } missing input` + i18n.t('parameters.invoke.missingInputForField', { + nodeLabel: node.data.label || nodeTemplate.title, + fieldLabel: field.label || fieldTemplate.title, + }) ); return; } @@ -80,17 +79,23 @@ const selector = createSelector( }); } } else { - if (!model) { - reasons.push('No model selected'); + if (dynamicPrompts.prompts.length === 0) { + reasons.push(i18n.t('parameters.invoke.noPrompts')); } - if (state.controlNet.isEnabled) { - map(state.controlNet.controlNets).forEach((controlNet, i) => { + if (!model) { + reasons.push(i18n.t('parameters.invoke.noModelSelected')); + } + + if (controlNet.isEnabled) { + map(controlNet.controlNets).forEach((controlNet, i) => { if (!controlNet.isEnabled) { return; } if (!controlNet.model) { - reasons.push(`ControlNet ${i + 1} has no model selected.`); + reasons.push( + i18n.t('parameters.invoke.noModelForControlNet', { index: i + 1 }) + ); } if ( @@ -98,18 +103,22 @@ const selector = createSelector( (!controlNet.processedControlImage && controlNet.processorType !== 'none') ) { - reasons.push(`ControlNet ${i + 1} has no control image`); + reasons.push( + i18n.t('parameters.invoke.noControlImageForControlNet', { + index: i + 1, + }) + ); } }); } } - return { isReady: !reasons.length, isProcessing, reasons }; + return { isReady: !reasons.length, reasons }; }, defaultSelectorOptions ); -export const useIsReadyToInvoke = () => { - const { isReady, isProcessing, reasons } = useAppSelector(selector); - return { isReady, isProcessing, reasons }; +export const useIsReadyToEnqueue = () => { + const { isReady, reasons } = useAppSelector(selector); + return { isReady, reasons }; }; diff --git a/invokeai/frontend/web/src/common/util/generateSeeds.ts b/invokeai/frontend/web/src/common/util/generateSeeds.ts new file mode 100644 index 0000000000..ae74f80810 --- /dev/null +++ b/invokeai/frontend/web/src/common/util/generateSeeds.ts @@ -0,0 +1,28 @@ +import { NUMPY_RAND_MAX, NUMPY_RAND_MIN } from 'app/constants'; +import { random } from 'lodash-es'; + +export type GenerateSeedsArg = { + count: number; + start?: number; + min?: number; + max?: number; +}; + +export const generateSeeds = ({ + count, + start, + min = NUMPY_RAND_MIN, + max = NUMPY_RAND_MAX, +}: GenerateSeedsArg) => { + const first = start ?? random(min, max); + const seeds: number[] = []; + for (let i = first; i < first + count; i++) { + seeds.push(i % max); + } + return seeds; +}; + +export const generateOneSeed = ( + min: number = NUMPY_RAND_MIN, + max: number = NUMPY_RAND_MAX +) => random(min, max); diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvas.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvas.tsx index 4f9e47282d..e2f20f99a2 100644 --- a/invokeai/frontend/web/src/features/canvas/components/IAICanvas.tsx +++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvas.tsx @@ -153,6 +153,8 @@ const IAICanvas = () => { }); resizeObserver.observe(containerRef.current); + const { width, height } = containerRef.current.getBoundingClientRect(); + dispatch(canvasResized({ width, height })); return () => { resizeObserver.disconnect(); diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasIntermediateImage.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasIntermediateImage.tsx index b636ef9528..0febf7fb21 100644 --- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasIntermediateImage.tsx +++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasIntermediateImage.tsx @@ -1,23 +1,24 @@ import { createSelector } from '@reduxjs/toolkit'; +import { stateSelector } from 'app/store/store'; import { useAppSelector } from 'app/store/storeHooks'; -import { systemSelector } from 'features/system/store/systemSelectors'; import { ImageConfig } from 'konva/lib/shapes/Image'; import { isEqual } from 'lodash-es'; - import { memo, useEffect, useState } from 'react'; import { Image as KonvaImage } from 'react-konva'; -import { canvasSelector } from '../store/canvasSelectors'; const selector = createSelector( - [systemSelector, canvasSelector], - (system, canvas) => { - const { progressImage, sessionId } = system; - const { sessionId: canvasSessionId, boundingBox } = - canvas.layerState.stagingArea; + [stateSelector], + ({ system, canvas }) => { + const { denoiseProgress } = system; + const { boundingBox } = canvas.layerState.stagingArea; + const { batchIds } = canvas; return { boundingBox, - progressImage: sessionId === canvasSessionId ? progressImage : undefined, + progressImage: + denoiseProgress && batchIds.includes(denoiseProgress.batch_id) + ? denoiseProgress.progress_image + : undefined, }; }, { diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasStagingAreaToolbar.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasStagingAreaToolbar.tsx index cc15141d38..3e617f8767 100644 --- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasStagingAreaToolbar.tsx +++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasStagingAreaToolbar.tsx @@ -11,8 +11,9 @@ import { setShouldShowStagingImage, setShouldShowStagingOutline, } from 'features/canvas/store/canvasSlice'; -import { isEqual } from 'lodash-es'; +import { skipToken } from '@reduxjs/toolkit/dist/query'; +import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import { memo, useCallback } from 'react'; import { useHotkeys } from 'react-hotkeys-hook'; import { useTranslation } from 'react-i18next'; @@ -25,16 +26,15 @@ import { FaPlus, FaSave, } from 'react-icons/fa'; -import { stagingAreaImageSaved } from '../store/actions'; import { useGetImageDTOQuery } from 'services/api/endpoints/images'; -import { skipToken } from '@reduxjs/toolkit/dist/query'; +import { stagingAreaImageSaved } from '../store/actions'; const selector = createSelector( [canvasSelector], (canvas) => { const { layerState: { - stagingArea: { images, selectedImageIndex, sessionId }, + stagingArea: { images, selectedImageIndex }, }, shouldShowStagingOutline, shouldShowStagingImage, @@ -47,14 +47,9 @@ const selector = createSelector( isOnLastImage: selectedImageIndex === images.length - 1, shouldShowStagingImage, shouldShowStagingOutline, - sessionId, }; }, - { - memoizeOptions: { - resultEqualityCheck: isEqual, - }, - } + defaultSelectorOptions ); const IAICanvasStagingAreaToolbar = () => { @@ -64,7 +59,6 @@ const IAICanvasStagingAreaToolbar = () => { isOnLastImage, currentStagingAreaImage, shouldShowStagingImage, - sessionId, } = useAppSelector(selector); const { t } = useTranslation(); @@ -121,8 +115,8 @@ const IAICanvasStagingAreaToolbar = () => { ); const handleAccept = useCallback( - () => dispatch(commitStagingAreaImage(sessionId)), - [dispatch, sessionId] + () => dispatch(commitStagingAreaImage()), + [dispatch] ); const { data: imageDTO } = useGetImageDTOQuery( diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasRedoButton.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasRedoButton.tsx index 72f4a19479..18ded1c9c7 100644 --- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasRedoButton.tsx +++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasRedoButton.tsx @@ -1,24 +1,23 @@ import { createSelector } from '@reduxjs/toolkit'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIIconButton from 'common/components/IAIIconButton'; -import { canvasSelector } from 'features/canvas/store/canvasSelectors'; import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; import { useHotkeys } from 'react-hotkeys-hook'; import { FaRedo } from 'react-icons/fa'; import { redo } from 'features/canvas/store/canvasSlice'; -import { systemSelector } from 'features/system/store/systemSelectors'; +import { stateSelector } from 'app/store/store'; import { isEqual } from 'lodash-es'; import { useTranslation } from 'react-i18next'; const canvasRedoSelector = createSelector( - [canvasSelector, activeTabNameSelector, systemSelector], - (canvas, activeTabName, system) => { + [stateSelector, activeTabNameSelector], + ({ canvas }, activeTabName) => { const { futureLayerStates } = canvas; return { - canRedo: futureLayerStates.length > 0 && !system.isProcessing, + canRedo: futureLayerStates.length > 0, activeTabName, }; }, diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolChooserOptions.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolChooserOptions.tsx index 10e01ccac4..6a7db0e5f2 100644 --- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolChooserOptions.tsx +++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolChooserOptions.tsx @@ -1,14 +1,12 @@ import { ButtonGroup, Flex } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; +import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIColorPicker from 'common/components/IAIColorPicker'; import IAIIconButton from 'common/components/IAIIconButton'; import IAIPopover from 'common/components/IAIPopover'; import IAISlider from 'common/components/IAISlider'; -import { - canvasSelector, - isStagingSelector, -} from 'features/canvas/store/canvasSelectors'; +import { isStagingSelector } from 'features/canvas/store/canvasSelectors'; import { addEraseRect, addFillRect, @@ -16,7 +14,6 @@ import { setBrushSize, setTool, } from 'features/canvas/store/canvasSlice'; -import { systemSelector } from 'features/system/store/systemSelectors'; import { clamp, isEqual } from 'lodash-es'; import { memo } from 'react'; @@ -32,15 +29,13 @@ import { } from 'react-icons/fa'; export const selector = createSelector( - [canvasSelector, isStagingSelector, systemSelector], - (canvas, isStaging, system) => { - const { isProcessing } = system; + [stateSelector, isStagingSelector], + ({ canvas }, isStaging) => { const { tool, brushColor, brushSize } = canvas; return { tool, isStaging, - isProcessing, brushColor, brushSize, }; diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx index 49ce63d25f..617fedf0f0 100644 --- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx +++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx @@ -1,5 +1,6 @@ import { Box, ButtonGroup, Flex } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; +import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIIconButton from 'common/components/IAIIconButton'; import IAIMantineSelect from 'common/components/IAIMantineSelect'; @@ -11,10 +12,7 @@ import { canvasMerged, canvasSavedToGallery, } from 'features/canvas/store/actions'; -import { - canvasSelector, - isStagingSelector, -} from 'features/canvas/store/canvasSelectors'; +import { isStagingSelector } from 'features/canvas/store/canvasSelectors'; import { resetCanvas, resetCanvasView, @@ -27,9 +25,9 @@ import { LAYER_NAMES_DICT, } from 'features/canvas/store/canvasTypes'; import { getCanvasBaseLayer } from 'features/canvas/util/konvaInstanceProvider'; -import { systemSelector } from 'features/system/store/systemSelectors'; import { useCopyImageToClipboard } from 'features/ui/hooks/useCopyImageToClipboard'; import { isEqual } from 'lodash-es'; +import { memo } from 'react'; import { useHotkeys } from 'react-hotkeys-hook'; import { useTranslation } from 'react-i18next'; import { @@ -47,17 +45,14 @@ import IAICanvasRedoButton from './IAICanvasRedoButton'; import IAICanvasSettingsButtonPopover from './IAICanvasSettingsButtonPopover'; import IAICanvasToolChooserOptions from './IAICanvasToolChooserOptions'; import IAICanvasUndoButton from './IAICanvasUndoButton'; -import { memo } from 'react'; export const selector = createSelector( - [systemSelector, canvasSelector, isStagingSelector], - (system, canvas, isStaging) => { - const { isProcessing } = system; + [stateSelector, isStagingSelector], + ({ canvas }, isStaging) => { const { tool, shouldCropToBoundingBoxOnSave, layer, isMaskEnabled } = canvas; return { - isProcessing, isStaging, isMaskEnabled, tool, @@ -74,8 +69,7 @@ export const selector = createSelector( const IAICanvasToolbar = () => { const dispatch = useAppDispatch(); - const { isProcessing, isStaging, isMaskEnabled, layer, tool } = - useAppSelector(selector); + const { isStaging, isMaskEnabled, layer, tool } = useAppSelector(selector); const canvasBaseLayer = getCanvasBaseLayer(); const { t } = useTranslation(); @@ -118,7 +112,7 @@ const IAICanvasToolbar = () => { enabled: () => !isStaging, preventDefault: true, }, - [canvasBaseLayer, isProcessing] + [canvasBaseLayer] ); useHotkeys( @@ -130,7 +124,7 @@ const IAICanvasToolbar = () => { enabled: () => !isStaging, preventDefault: true, }, - [canvasBaseLayer, isProcessing] + [canvasBaseLayer] ); useHotkeys( @@ -142,7 +136,7 @@ const IAICanvasToolbar = () => { enabled: () => !isStaging && isClipboardAPIAvailable, preventDefault: true, }, - [canvasBaseLayer, isProcessing, isClipboardAPIAvailable] + [canvasBaseLayer, isClipboardAPIAvailable] ); useHotkeys( @@ -154,7 +148,7 @@ const IAICanvasToolbar = () => { enabled: () => !isStaging, preventDefault: true, }, - [canvasBaseLayer, isProcessing] + [canvasBaseLayer] ); const handleSelectMoveTool = () => dispatch(setTool('move')); diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasUndoButton.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasUndoButton.tsx index 9feb2dfcb5..126470a9e8 100644 --- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasUndoButton.tsx +++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasUndoButton.tsx @@ -1,24 +1,23 @@ import { createSelector } from '@reduxjs/toolkit'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIIconButton from 'common/components/IAIIconButton'; -import { canvasSelector } from 'features/canvas/store/canvasSelectors'; import { useHotkeys } from 'react-hotkeys-hook'; import { FaUndo } from 'react-icons/fa'; import { undo } from 'features/canvas/store/canvasSlice'; -import { systemSelector } from 'features/system/store/systemSelectors'; import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; import { isEqual } from 'lodash-es'; import { useTranslation } from 'react-i18next'; +import { stateSelector } from 'app/store/store'; const canvasUndoSelector = createSelector( - [canvasSelector, activeTabNameSelector, systemSelector], - (canvas, activeTabName, system) => { + [stateSelector, activeTabNameSelector], + ({ canvas }, activeTabName) => { const { pastLayerStates } = canvas; return { - canUndo: pastLayerStates.length > 0 && !system.isProcessing, + canUndo: pastLayerStates.length > 0, activeTabName, }; }, diff --git a/invokeai/frontend/web/src/features/canvas/store/canvasSelectors.ts b/invokeai/frontend/web/src/features/canvas/store/canvasSelectors.ts index dbcdde00d5..46bf7db3d0 100644 --- a/invokeai/frontend/web/src/features/canvas/store/canvasSelectors.ts +++ b/invokeai/frontend/web/src/features/canvas/store/canvasSelectors.ts @@ -1,16 +1,12 @@ import { createSelector } from '@reduxjs/toolkit'; -import { RootState } from 'app/store/store'; -import { systemSelector } from 'features/system/store/systemSelectors'; -import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; +import { RootState, stateSelector } from 'app/store/store'; import { CanvasImage, CanvasState, isCanvasBaseImage } from './canvasTypes'; export const canvasSelector = (state: RootState): CanvasState => state.canvas; export const isStagingSelector = createSelector( - [canvasSelector, activeTabNameSelector, systemSelector], - (canvas, activeTabName, system) => - canvas.layerState.stagingArea.images.length > 0 || - (activeTabName === 'unifiedCanvas' && system.isProcessing) + [stateSelector], + ({ canvas }) => canvas.layerState.stagingArea.images.length > 0 ); export const initialCanvasImageSelector = ( diff --git a/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts b/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts index fb908fa601..b726e757f6 100644 --- a/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts +++ b/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts @@ -85,6 +85,7 @@ export const initialCanvasState: CanvasState = { stageDimensions: { width: 0, height: 0 }, stageScale: 1, tool: 'brush', + batchIds: [], }; export const canvasSlice = createSlice({ @@ -297,18 +298,22 @@ export const canvasSlice = createSlice({ setIsMoveStageKeyHeld: (state, action: PayloadAction) => { state.isMoveStageKeyHeld = action.payload; }, - canvasSessionIdChanged: (state, action: PayloadAction) => { - state.layerState.stagingArea.sessionId = action.payload; + canvasBatchIdAdded: (state, action: PayloadAction) => { + state.batchIds.push(action.payload); + }, + canvasBatchIdsReset: (state) => { + state.batchIds = []; }, stagingAreaInitialized: ( state, - action: PayloadAction<{ sessionId: string; boundingBox: IRect }> + action: PayloadAction<{ + boundingBox: IRect; + }> ) => { - const { sessionId, boundingBox } = action.payload; + const { boundingBox } = action.payload; state.layerState.stagingArea = { boundingBox, - sessionId, images: [], selectedImageIndex: -1, }; @@ -632,10 +637,7 @@ export const canvasSlice = createSlice({ 0 ); }, - commitStagingAreaImage: ( - state, - _action: PayloadAction - ) => { + commitStagingAreaImage: (state) => { if (!state.layerState.stagingArea.images.length) { return; } @@ -869,9 +871,10 @@ export const { setScaledBoundingBoxDimensions, setShouldRestrictStrokesToBox, stagingAreaInitialized, - canvasSessionIdChanged, setShouldAntialias, canvasResized, + canvasBatchIdAdded, + canvasBatchIdsReset, } = canvasSlice.actions; export default canvasSlice.reducer; diff --git a/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts b/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts index 1b4eca329d..875157d36a 100644 --- a/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts +++ b/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts @@ -89,7 +89,6 @@ export type CanvasLayerState = { stagingArea: { images: CanvasImage[]; selectedImageIndex: number; - sessionId?: string; boundingBox?: IRect; }; }; @@ -166,6 +165,7 @@ export interface CanvasState { stageScale: number; tool: CanvasTool; generationMode?: GenerationMode; + batchIds: string[]; } export type GenerationMode = 'txt2img' | 'img2img' | 'inpaint' | 'outpaint'; diff --git a/invokeai/frontend/web/src/features/canvas/util/calculateScale.ts b/invokeai/frontend/web/src/features/canvas/util/calculateScale.ts index 954c36869c..255cb2850b 100644 --- a/invokeai/frontend/web/src/features/canvas/util/calculateScale.ts +++ b/invokeai/frontend/web/src/features/canvas/util/calculateScale.ts @@ -8,7 +8,7 @@ const calculateScale = ( const scaleX = (containerWidth * padding) / contentWidth; const scaleY = (containerHeight * padding) / contentHeight; const scaleFit = Math.min(1, Math.min(scaleX, scaleY)); - return scaleFit; + return scaleFit ? scaleFit : 1; }; export default calculateScale; diff --git a/invokeai/frontend/web/src/features/canvas/util/getBaseLayerBlob.ts b/invokeai/frontend/web/src/features/canvas/util/getBaseLayerBlob.ts index 20ac482710..3667acc79b 100644 --- a/invokeai/frontend/web/src/features/canvas/util/getBaseLayerBlob.ts +++ b/invokeai/frontend/web/src/features/canvas/util/getBaseLayerBlob.ts @@ -9,7 +9,7 @@ export const getBaseLayerBlob = async (state: RootState) => { const canvasBaseLayer = getCanvasBaseLayer(); if (!canvasBaseLayer) { - return; + throw new Error('Problem getting base layer blob'); } const { diff --git a/invokeai/frontend/web/src/features/changeBoardModal/components/ChangeBoardModal.tsx b/invokeai/frontend/web/src/features/changeBoardModal/components/ChangeBoardModal.tsx index 2443fa6081..6bdf434d52 100644 --- a/invokeai/frontend/web/src/features/changeBoardModal/components/ChangeBoardModal.tsx +++ b/invokeai/frontend/web/src/features/changeBoardModal/components/ChangeBoardModal.tsx @@ -21,6 +21,7 @@ import { useRemoveImagesFromBoardMutation, } from 'services/api/endpoints/images'; import { changeBoardReset, isModalOpenChanged } from '../store/slice'; +import { useTranslation } from 'react-i18next'; const selector = createSelector( [stateSelector], @@ -42,10 +43,11 @@ const ChangeBoardModal = () => { const { imagesToChange, isModalOpen } = useAppSelector(selector); const [addImagesToBoard] = useAddImagesToBoardMutation(); const [removeImagesFromBoard] = useRemoveImagesFromBoardMutation(); + const { t } = useTranslation(); const data = useMemo(() => { const data: { label: string; value: string }[] = [ - { label: 'Uncategorized', value: 'none' }, + { label: t('boards.uncategorized'), value: 'none' }, ]; (boards ?? []).forEach((board) => data.push({ @@ -55,7 +57,7 @@ const ChangeBoardModal = () => { ); return data; - }, [boards]); + }, [boards, t]); const handleClose = useCallback(() => { dispatch(changeBoardReset()); @@ -97,7 +99,7 @@ const ChangeBoardModal = () => { - Change Board + {t('boards.changeBoard')} @@ -107,7 +109,9 @@ const ChangeBoardModal = () => { {`${imagesToChange.length > 1 ? 's' : ''}`} to board: setSelectedBoard(v)} value={selectedBoard} @@ -117,10 +121,10 @@ const ChangeBoardModal = () => { - Cancel + {t('boards.cancel')} - Move + {t('boards.move')} diff --git a/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx b/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx index 1f70542494..3d00359d18 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx @@ -1,12 +1,12 @@ import { Box, Flex } from '@chakra-ui/react'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; -import { memo, useCallback } from 'react'; +import { ChangeEvent, memo, useCallback } from 'react'; import { FaCopy, FaTrash } from 'react-icons/fa'; import { ControlNetConfig, controlNetDuplicated, controlNetRemoved, - controlNetToggled, + controlNetIsEnabledChanged, } from '../store/controlNetSlice'; import ParamControlNetModel from './parameters/ParamControlNetModel'; import ParamControlNetWeight from './parameters/ParamControlNetWeight'; @@ -18,6 +18,7 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import IAIIconButton from 'common/components/IAIIconButton'; import IAISwitch from 'common/components/IAISwitch'; import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; +import { useTranslation } from 'react-i18next'; import { useToggle } from 'react-use'; import { v4 as uuidv4 } from 'uuid'; import ControlNetImagePreview from './ControlNetImagePreview'; @@ -37,6 +38,7 @@ const ControlNet = (props: ControlNetProps) => { const { controlNet } = props; const { controlNetId } = controlNet; const dispatch = useAppDispatch(); + const { t } = useTranslation(); const activeTabName = useAppSelector(activeTabNameSelector); @@ -75,9 +77,17 @@ const ControlNet = (props: ControlNetProps) => { ); }, [controlNetId, dispatch]); - const handleToggleIsEnabled = useCallback(() => { - dispatch(controlNetToggled({ controlNetId })); - }, [controlNetId, dispatch]); + const handleToggleIsEnabled = useCallback( + (e: ChangeEvent) => { + dispatch( + controlNetIsEnabledChanged({ + controlNetId, + isEnabled: e.target.checked, + }) + ); + }, + [controlNetId, dispatch] + ); return ( { > @@ -104,8 +114,8 @@ const ControlNet = (props: ControlNetProps) => { sx={{ w: 'full', minW: 0, - opacity: isEnabled ? 1 : 0.5, - pointerEvents: isEnabled ? 'auto' : 'none', + // opacity: isEnabled ? 1 : 0.5, + // pointerEvents: isEnabled ? 'auto' : 'none', transitionProperty: 'common', transitionDuration: '0.1s', }} @@ -117,23 +127,31 @@ const ControlNet = (props: ControlNetProps) => { )} } /> } /> { controlImage: controlImageName, processedControlImage: processedControlImageName, processorType, - isEnabled, controlNetId, } = controlNet; const dispatch = useAppDispatch(); + const { t } = useTranslation(); const { pendingControlImages, autoAddBoardId } = useAppSelector(selector); const activeTabName = useAppSelector(activeTabNameSelector); @@ -170,15 +171,13 @@ const ControlNetImagePreview = ({ isSmall, controlNet }: Props) => { h: isSmall ? 28 : 366, // magic no touch alignItems: 'center', justifyContent: 'center', - pointerEvents: isEnabled ? 'auto' : 'none', - opacity: isEnabled ? 1 : 0.5, }} > @@ -200,7 +199,6 @@ const ControlNetImagePreview = ({ isSmall, controlNet }: Props) => { droppableData={droppableData} imageDTO={processedControlImage} isUploadDisabled={true} - isDropDisabled={!isEnabled} /> @@ -208,18 +206,18 @@ const ControlNetImagePreview = ({ isSmall, controlNet }: Props) => { : undefined} - tooltip="Reset Control Image" + tooltip={t('controlnet.resetControlImage')} /> : undefined} - tooltip="Save Control Image" + tooltip={t('controlnet.saveControlImage')} styleOverrides={{ marginTop: 6 }} /> : undefined} - tooltip="Set Control Image Dimensions To W/H" + tooltip={t('controlnet.setControlImageDimensions')} styleOverrides={{ marginTop: 12 }} /> diff --git a/invokeai/frontend/web/src/features/controlNet/components/ControlNetPreprocessButton.tsx b/invokeai/frontend/web/src/features/controlNet/components/ControlNetPreprocessButton.tsx index 95a4f968e5..7a9d2f8b10 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/ControlNetPreprocessButton.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/ControlNetPreprocessButton.tsx @@ -3,7 +3,7 @@ import { memo, useCallback } from 'react'; import { ControlNetConfig } from '../store/controlNetSlice'; import { useAppDispatch } from 'app/store/storeHooks'; import { controlNetImageProcessed } from '../store/actions'; -import { useIsReadyToInvoke } from 'common/hooks/useIsReadyToInvoke'; +import { useIsReadyToEnqueue } from 'common/hooks/useIsReadyToEnqueue'; type Props = { controlNet: ControlNetConfig; @@ -12,7 +12,7 @@ type Props = { const ControlNetPreprocessButton = (props: Props) => { const { controlNetId, controlImage } = props.controlNet; const dispatch = useAppDispatch(); - const isReady = useIsReadyToInvoke(); + const isReady = useIsReadyToEnqueue(); const handleProcess = useCallback(() => { dispatch( diff --git a/invokeai/frontend/web/src/features/controlNet/components/ControlNetProcessorComponent.tsx b/invokeai/frontend/web/src/features/controlNet/components/ControlNetProcessorComponent.tsx index 681838ef27..29aaae4e70 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/ControlNetProcessorComponent.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/ControlNetProcessorComponent.tsx @@ -1,6 +1,7 @@ import { memo } from 'react'; import { ControlNetConfig } from '../store/controlNetSlice'; import CannyProcessor from './processors/CannyProcessor'; +import ColorMapProcessor from './processors/ColorMapProcessor'; import ContentShuffleProcessor from './processors/ContentShuffleProcessor'; import HedProcessor from './processors/HedProcessor'; import LineartAnimeProcessor from './processors/LineartAnimeProcessor'; @@ -30,6 +31,16 @@ const ControlNetProcessorComponent = (props: ControlNetProcessorProps) => { ); } + if (processorNode.type === 'color_map_image_processor') { + return ( + + ); + } + if (processorNode.type === 'hed_image_processor') { return ( { const { controlNetId, isEnabled, shouldAutoConfig } = props.controlNet; const dispatch = useAppDispatch(); - const isBusy = useAppSelector(selectIsBusy); + const { t } = useTranslation(); const handleShouldAutoConfigChanged = useCallback(() => { dispatch(controlNetAutoConfigToggled({ controlNetId })); @@ -22,11 +22,11 @@ const ParamControlNetShouldAutoConfig = (props: Props) => { return ( ); }; diff --git a/invokeai/frontend/web/src/features/controlNet/components/imports/ControlNetCanvasImageImports.tsx b/invokeai/frontend/web/src/features/controlNet/components/imports/ControlNetCanvasImageImports.tsx index d62af1d3d3..c89bf747fc 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/imports/ControlNetCanvasImageImports.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/imports/ControlNetCanvasImageImports.tsx @@ -8,6 +8,7 @@ import { import { ControlNetConfig } from 'features/controlNet/store/controlNetSlice'; import { memo, useCallback } from 'react'; import { FaImage, FaMask } from 'react-icons/fa'; +import { useTranslation } from 'react-i18next'; type ControlNetCanvasImageImportsProps = { controlNet: ControlNetConfig; @@ -18,6 +19,7 @@ const ControlNetCanvasImageImports = ( ) => { const { controlNet } = props; const dispatch = useAppDispatch(); + const { t } = useTranslation(); const handleImportImageFromCanvas = useCallback(() => { dispatch(canvasImageToControlNet({ controlNet })); @@ -36,15 +38,15 @@ const ControlNetCanvasImageImports = ( } - tooltip="Import Image From Canvas" - aria-label="Import Image From Canvas" + tooltip={t('controlnet.importImageFromCanvas')} + aria-label={t('controlnet.importImageFromCanvas')} onClick={handleImportImageFromCanvas} /> } - tooltip="Import Mask From Canvas" - aria-label="Import Mask From Canvas" + tooltip={t('controlnet.importMaskFromCanvas')} + aria-label={t('controlnet.importMaskFromCanvas')} onClick={handleImportMaskFromCanvas} /> diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/IPAdapterPanel.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/IPAdapterPanel.tsx new file mode 100644 index 0000000000..b0a1fcc731 --- /dev/null +++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/IPAdapterPanel.tsx @@ -0,0 +1,35 @@ +import { Flex } from '@chakra-ui/react'; +import { memo } from 'react'; +import ParamIPAdapterBeginEnd from './ParamIPAdapterBeginEnd'; +import ParamIPAdapterFeatureToggle from './ParamIPAdapterFeatureToggle'; +import ParamIPAdapterImage from './ParamIPAdapterImage'; +import ParamIPAdapterModelSelect from './ParamIPAdapterModelSelect'; +import ParamIPAdapterWeight from './ParamIPAdapterWeight'; + +const IPAdapterPanel = () => { + return ( + + + + + + + + ); +}; + +export default memo(IPAdapterPanel); diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterBeginEnd.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterBeginEnd.tsx new file mode 100644 index 0000000000..5bef23b66c --- /dev/null +++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterBeginEnd.tsx @@ -0,0 +1,100 @@ +import { + FormControl, + FormLabel, + HStack, + RangeSlider, + RangeSliderFilledTrack, + RangeSliderMark, + RangeSliderThumb, + RangeSliderTrack, + Tooltip, +} from '@chakra-ui/react'; +import { RootState } from 'app/store/store'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { + ipAdapterBeginStepPctChanged, + ipAdapterEndStepPctChanged, +} from 'features/controlNet/store/controlNetSlice'; +import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; + +const formatPct = (v: number) => `${Math.round(v * 100)}%`; + +const ParamIPAdapterBeginEnd = () => { + const isEnabled = useAppSelector( + (state: RootState) => state.controlNet.isIPAdapterEnabled + ); + const beginStepPct = useAppSelector( + (state: RootState) => state.controlNet.ipAdapterInfo.beginStepPct + ); + const endStepPct = useAppSelector( + (state: RootState) => state.controlNet.ipAdapterInfo.endStepPct + ); + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + + const handleStepPctChanged = useCallback( + (v: number[]) => { + dispatch(ipAdapterBeginStepPctChanged(v[0] as number)); + dispatch(ipAdapterEndStepPctChanged(v[1] as number)); + }, + [dispatch] + ); + + return ( + + {t('controlnet.beginEndStepPercent')} + + + + + + + + + + + + + 0% + + + 50% + + + 100% + + + + + ); +}; + +export default memo(ParamIPAdapterBeginEnd); diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterFeatureToggle.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterFeatureToggle.tsx new file mode 100644 index 0000000000..7fae538cf0 --- /dev/null +++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterFeatureToggle.tsx @@ -0,0 +1,44 @@ +import { createSelector } from '@reduxjs/toolkit'; +import { stateSelector } from 'app/store/store'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; +import IAISwitch from 'common/components/IAISwitch'; +import { isIPAdapterEnabledChanged } from 'features/controlNet/store/controlNetSlice'; +import { ChangeEvent, memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; + +const selector = createSelector( + stateSelector, + (state) => { + const { isIPAdapterEnabled } = state.controlNet; + + return { isIPAdapterEnabled }; + }, + defaultSelectorOptions +); + +const ParamIPAdapterFeatureToggle = () => { + const { isIPAdapterEnabled } = useAppSelector(selector); + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + + const handleChange = useCallback( + (e: ChangeEvent) => { + dispatch(isIPAdapterEnabledChanged(e.target.checked)); + }, + [dispatch] + ); + + return ( + + ); +}; + +export default memo(ParamIPAdapterFeatureToggle); diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx new file mode 100644 index 0000000000..21229a81a5 --- /dev/null +++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx @@ -0,0 +1,95 @@ +import { Flex } from '@chakra-ui/react'; +import { createSelector } from '@reduxjs/toolkit'; +import { skipToken } from '@reduxjs/toolkit/dist/query'; +import { stateSelector } from 'app/store/store'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; +import IAIDndImage from 'common/components/IAIDndImage'; +import IAIDndImageIcon from 'common/components/IAIDndImageIcon'; +import { IAINoContentFallback } from 'common/components/IAIImageFallback'; +import { ipAdapterImageChanged } from 'features/controlNet/store/controlNetSlice'; +import { + TypesafeDraggableData, + TypesafeDroppableData, +} from 'features/dnd/types'; +import { memo, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { FaUndo } from 'react-icons/fa'; +import { useGetImageDTOQuery } from 'services/api/endpoints/images'; +import { PostUploadAction } from 'services/api/types'; + +const selector = createSelector( + stateSelector, + ({ controlNet }) => { + const { ipAdapterInfo } = controlNet; + return { ipAdapterInfo }; + }, + defaultSelectorOptions +); + +const ParamIPAdapterImage = () => { + const { ipAdapterInfo } = useAppSelector(selector); + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + + const { currentData: imageDTO } = useGetImageDTOQuery( + ipAdapterInfo.adapterImage?.image_name ?? skipToken + ); + + const draggableData = useMemo(() => { + if (imageDTO) { + return { + id: 'ip-adapter-image', + payloadType: 'IMAGE_DTO', + payload: { imageDTO }, + }; + } + }, [imageDTO]); + + const droppableData = useMemo( + () => ({ + id: 'ip-adapter-image', + actionType: 'SET_IP_ADAPTER_IMAGE', + }), + [] + ); + + const postUploadAction = useMemo( + () => ({ + type: 'SET_IP_ADAPTER_IMAGE', + }), + [] + ); + + return ( + + + } + /> + + dispatch(ipAdapterImageChanged(null))} + icon={ipAdapterInfo.adapterImage ? : undefined} + tooltip={t('controlnet.resetIPAdapterImage')} + /> + + ); +}; + +export default memo(ParamIPAdapterImage); diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterModelSelect.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterModelSelect.tsx new file mode 100644 index 0000000000..8fb738d025 --- /dev/null +++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterModelSelect.tsx @@ -0,0 +1,101 @@ +import { SelectItem } from '@mantine/core'; +import { RootState } from 'app/store/store'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIMantineSelect from 'common/components/IAIMantineSelect'; +import { ipAdapterModelChanged } from 'features/controlNet/store/controlNetSlice'; +import { MODEL_TYPE_MAP } from 'features/parameters/types/constants'; +import { modelIdToIPAdapterModelParam } from 'features/parameters/util/modelIdToIPAdapterModelParams'; +import { forEach } from 'lodash-es'; +import { memo, useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useGetIPAdapterModelsQuery } from 'services/api/endpoints/models'; + +const ParamIPAdapterModelSelect = () => { + const isEnabled = useAppSelector( + (state: RootState) => state.controlNet.isIPAdapterEnabled + ); + const ipAdapterModel = useAppSelector( + (state: RootState) => state.controlNet.ipAdapterInfo.model + ); + const model = useAppSelector((state: RootState) => state.generation.model); + + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + + const { data: ipAdapterModels } = useGetIPAdapterModelsQuery(); + + // grab the full model entity from the RTK Query cache + const selectedModel = useMemo( + () => + ipAdapterModels?.entities[ + `${ipAdapterModel?.base_model}/ip_adapter/${ipAdapterModel?.model_name}` + ] ?? null, + [ + ipAdapterModel?.base_model, + ipAdapterModel?.model_name, + ipAdapterModels?.entities, + ] + ); + + const data = useMemo(() => { + if (!ipAdapterModels) { + return []; + } + + const data: SelectItem[] = []; + + forEach(ipAdapterModels.entities, (ipAdapterModel, id) => { + if (!ipAdapterModel) { + return; + } + + const disabled = model?.base_model !== ipAdapterModel.base_model; + + data.push({ + value: id, + label: ipAdapterModel.model_name, + group: MODEL_TYPE_MAP[ipAdapterModel.base_model], + disabled, + tooltip: disabled + ? `Incompatible base model: ${ipAdapterModel.base_model}` + : undefined, + }); + }); + + return data.sort((a, b) => (a.disabled && !b.disabled ? 1 : -1)); + }, [ipAdapterModels, model?.base_model]); + + const handleValueChanged = useCallback( + (v: string | null) => { + if (!v) { + return; + } + + const newIPAdapterModel = modelIdToIPAdapterModelParam(v); + + if (!newIPAdapterModel) { + return; + } + + dispatch(ipAdapterModelChanged(newIPAdapterModel)); + }, + [dispatch] + ); + + return ( + + ); +}; + +export default memo(ParamIPAdapterModelSelect); diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterWeight.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterWeight.tsx new file mode 100644 index 0000000000..df5a9a36a3 --- /dev/null +++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterWeight.tsx @@ -0,0 +1,46 @@ +import { RootState } from 'app/store/store'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAISlider from 'common/components/IAISlider'; +import { ipAdapterWeightChanged } from 'features/controlNet/store/controlNetSlice'; +import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; + +const ParamIPAdapterWeight = () => { + const isIpAdapterEnabled = useAppSelector( + (state: RootState) => state.controlNet.isIPAdapterEnabled + ); + const ipAdapterWeight = useAppSelector( + (state: RootState) => state.controlNet.ipAdapterInfo.weight + ); + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + + const handleWeightChanged = useCallback( + (weight: number) => { + dispatch(ipAdapterWeightChanged(weight)); + }, + [dispatch] + ); + + const handleWeightReset = useCallback(() => { + dispatch(ipAdapterWeightChanged(1)); + }, [dispatch]); + + return ( + + ); +}; + +export default memo(ParamIPAdapterWeight); diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx index 1219239e5d..4a303a1801 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx @@ -10,12 +10,14 @@ import { Tooltip, } from '@chakra-ui/react'; import { useAppDispatch } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import { ControlNetConfig, controlNetBeginStepPctChanged, controlNetEndStepPctChanged, } from 'features/controlNet/store/controlNetSlice'; import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; type Props = { controlNet: ControlNetConfig; @@ -27,6 +29,7 @@ const ParamControlNetBeginEnd = (props: Props) => { const { beginStepPct, endStepPct, isEnabled, controlNetId } = props.controlNet; const dispatch = useAppDispatch(); + const { t } = useTranslation(); const handleStepPctChanged = useCallback( (v: number[]) => { @@ -47,58 +50,60 @@ const ParamControlNetBeginEnd = (props: Props) => { ); return ( - - Begin / End Step Percentage - - - - - - - - - - - - + + {t('controlnet.beginEndStepPercent')} + + - 0% - - - 50% - - - 100% - - - - + + + + + + + + + + + 0% + + + 50% + + + 100% + + + + + ); }; diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx index 761edde42b..19da346fc3 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx @@ -1,4 +1,5 @@ import { useAppDispatch } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import IAIMantineSelect from 'common/components/IAIMantineSelect'; import { ControlModes, @@ -6,23 +7,25 @@ import { controlNetControlModeChanged, } from 'features/controlNet/store/controlNetSlice'; import { useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; type ParamControlNetControlModeProps = { controlNet: ControlNetConfig; }; -const CONTROL_MODE_DATA = [ - { label: 'Balanced', value: 'balanced' }, - { label: 'Prompt', value: 'more_prompt' }, - { label: 'Control', value: 'more_control' }, - { label: 'Mega Control', value: 'unbalanced' }, -]; - export default function ParamControlNetControlMode( props: ParamControlNetControlModeProps ) { const { controlMode, isEnabled, controlNetId } = props.controlNet; const dispatch = useAppDispatch(); + const { t } = useTranslation(); + + const CONTROL_MODE_DATA = [ + { label: t('controlnet.balanced'), value: 'balanced' }, + { label: t('controlnet.prompt'), value: 'more_prompt' }, + { label: t('controlnet.control'), value: 'more_control' }, + { label: t('controlnet.megaControl'), value: 'unbalanced' }, + ]; const handleControlModeChange = useCallback( (controlMode: ControlModes) => { @@ -32,12 +35,14 @@ export default function ParamControlNetControlMode( ); return ( - + + + ); } diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx index 97a54dc7d1..d13c29f500 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx @@ -1,7 +1,9 @@ +import { Box } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import IAISwitch from 'common/components/IAISwitch'; import { isControlNetEnabledToggled } from 'features/controlNet/store/controlNetSlice'; import { memo, useCallback } from 'react'; @@ -25,14 +27,15 @@ const ParamControlNetFeatureToggle = () => { }, [dispatch]); return ( - + + + + + ); }; diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx index 5d7db854d8..5ed82ac501 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx @@ -11,9 +11,9 @@ import { } from 'features/controlNet/store/controlNetSlice'; import { MODEL_TYPE_MAP } from 'features/parameters/types/constants'; import { modelIdToControlNetModelParam } from 'features/parameters/util/modelIdToControlNetModelParam'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { forEach } from 'lodash-es'; import { memo, useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; import { useGetControlNetModelsQuery } from 'services/api/endpoints/models'; type ParamControlNetModelProps = { @@ -32,9 +32,9 @@ const selector = createSelector( const ParamControlNetModel = (props: ParamControlNetModelProps) => { const { controlNetId, model: controlNetModel, isEnabled } = props.controlNet; const dispatch = useAppDispatch(); - const isBusy = useAppSelector(selectIsBusy); const { mainModel } = useAppSelector(selector); + const { t } = useTranslation(); const { data: controlNetModels } = useGetControlNetModelsQuery(); @@ -58,13 +58,13 @@ const ParamControlNetModel = (props: ParamControlNetModelProps) => { group: MODEL_TYPE_MAP[model.base_model], disabled, tooltip: disabled - ? `Incompatible base model: ${model.base_model}` + ? `${t('controlnet.incompatibleBaseModel')} ${model.base_model}` : undefined, }); }); return data; - }, [controlNetModels, mainModel?.base_model]); + }, [controlNetModels, mainModel?.base_model, t]); // grab the full model entity from the RTK Query cache const selectedModel = useMemo( @@ -105,10 +105,10 @@ const ParamControlNetModel = (props: ParamControlNetModelProps) => { error={ !selectedModel || mainModel?.base_model !== selectedModel.base_model } - placeholder="Select a model" + placeholder={t('controlnet.selectModel')} value={selectedModel?.id ?? null} onChange={handleModelChanged} - disabled={isBusy || !isEnabled} + disabled={!isEnabled} tooltip={selectedModel?.description} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx index 190b1bc012..9ab2422fa8 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx @@ -6,7 +6,6 @@ import IAIMantineSearchableSelect, { IAISelectDataType, } from 'common/components/IAIMantineSearchableSelect'; import { configSelector } from 'features/system/store/configSelectors'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { map } from 'lodash-es'; import { memo, useCallback } from 'react'; import { CONTROLNET_PROCESSORS } from '../../store/constants'; @@ -15,6 +14,7 @@ import { controlNetProcessorTypeChanged, } from '../../store/controlNetSlice'; import { ControlNetProcessorType } from '../../store/types'; +import { useTranslation } from 'react-i18next'; type ParamControlNetProcessorSelectProps = { controlNet: ControlNetConfig; @@ -55,8 +55,8 @@ const ParamControlNetProcessorSelect = ( ) => { const dispatch = useAppDispatch(); const { controlNetId, isEnabled, processorNode } = props.controlNet; - const isBusy = useAppSelector(selectIsBusy); const controlNetProcessors = useAppSelector(selector); + const { t } = useTranslation(); const handleProcessorTypeChanged = useCallback( (v: string | null) => { @@ -72,11 +72,11 @@ const ParamControlNetProcessorSelect = ( return ( ); }; diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx index 72f15fb178..e9556d3364 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx @@ -1,4 +1,5 @@ import { useAppDispatch } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import IAIMantineSelect from 'common/components/IAIMantineSelect'; import { ControlNetConfig, @@ -6,22 +7,24 @@ import { controlNetResizeModeChanged, } from 'features/controlNet/store/controlNetSlice'; import { useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; type ParamControlNetResizeModeProps = { controlNet: ControlNetConfig; }; -const RESIZE_MODE_DATA = [ - { label: 'Resize', value: 'just_resize' }, - { label: 'Crop', value: 'crop_resize' }, - { label: 'Fill', value: 'fill_resize' }, -]; - export default function ParamControlNetResizeMode( props: ParamControlNetResizeModeProps ) { const { resizeMode, isEnabled, controlNetId } = props.controlNet; const dispatch = useAppDispatch(); + const { t } = useTranslation(); + + const RESIZE_MODE_DATA = [ + { label: t('controlnet.resize'), value: 'just_resize' }, + { label: t('controlnet.crop'), value: 'crop_resize' }, + { label: t('controlnet.fill'), value: 'fill_resize' }, + ]; const handleResizeModeChange = useCallback( (resizeMode: ResizeModes) => { @@ -31,12 +34,14 @@ export default function ParamControlNetResizeMode( ); return ( - + + + ); } diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx index 6725c47bb8..97752988e3 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx @@ -1,10 +1,12 @@ import { useAppDispatch } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import IAISlider from 'common/components/IAISlider'; import { ControlNetConfig, controlNetWeightChanged, } from 'features/controlNet/store/controlNetSlice'; import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; type ParamControlNetWeightProps = { controlNet: ControlNetConfig; @@ -13,6 +15,7 @@ type ParamControlNetWeightProps = { const ParamControlNetWeight = (props: ParamControlNetWeightProps) => { const { weight, isEnabled, controlNetId } = props.controlNet; const dispatch = useAppDispatch(); + const { t } = useTranslation(); const handleWeightChanged = useCallback( (weight: number) => { dispatch(controlNetWeightChanged({ controlNetId, weight })); @@ -21,17 +24,19 @@ const ParamControlNetWeight = (props: ParamControlNetWeightProps) => { ); return ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/CannyProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/CannyProcessor.tsx index e226e2a55c..f4813c0957 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/CannyProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/CannyProcessor.tsx @@ -1,9 +1,8 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredCannyImageProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; @@ -19,8 +18,8 @@ type CannyProcessorProps = { const CannyProcessor = (props: CannyProcessorProps) => { const { controlNetId, processorNode, isEnabled } = props; const { low_threshold, high_threshold } = processorNode; - const isBusy = useAppSelector(selectIsBusy); const processorChanged = useProcessorNodeChanged(); + const { t } = useTranslation(); const handleLowThresholdChanged = useCallback( (v: number) => { @@ -51,8 +50,8 @@ const CannyProcessor = (props: CannyProcessorProps) => { return ( { withSliderMarks /> { + const { controlNetId, processorNode, isEnabled } = props; + const { color_map_tile_size } = processorNode; + const processorChanged = useProcessorNodeChanged(); + const { t } = useTranslation(); + + const handleColorMapTileSizeChanged = useCallback( + (v: number) => { + processorChanged(controlNetId, { color_map_tile_size: v }); + }, + [controlNetId, processorChanged] + ); + + const handleColorMapTileSizeReset = useCallback(() => { + processorChanged(controlNetId, { + color_map_tile_size: DEFAULTS.color_map_tile_size, + }); + }, [controlNetId, processorChanged]); + + return ( + + + + ); +}; + +export default memo(ColorMapProcessor); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/ContentShuffleProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/ContentShuffleProcessor.tsx index d66f0a0aa8..efc943e800 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/ContentShuffleProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/ContentShuffleProcessor.tsx @@ -2,10 +2,9 @@ import IAISlider from 'common/components/IAISlider'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredContentShuffleImageProcessorInvocation } from 'features/controlNet/store/types'; import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; -import { useAppSelector } from 'app/store/storeHooks'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; const DEFAULTS = CONTROLNET_PROCESSORS.content_shuffle_image_processor .default as RequiredContentShuffleImageProcessorInvocation; @@ -20,7 +19,7 @@ const ContentShuffleProcessor = (props: Props) => { const { controlNetId, processorNode, isEnabled } = props; const { image_resolution, detect_resolution, w, h, f } = processorNode; const processorChanged = useProcessorNodeChanged(); - const isBusy = useAppSelector(selectIsBusy); + const { t } = useTranslation(); const handleDetectResolutionChanged = useCallback( (v: number) => { @@ -90,7 +89,7 @@ const ContentShuffleProcessor = (props: Props) => { return ( { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/HedProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/HedProcessor.tsx index 04d6027ff9..ab8de7b2e0 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/HedProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/HedProcessor.tsx @@ -1,10 +1,9 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import IAISwitch from 'common/components/IAISwitch'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredHedImageProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { ChangeEvent, memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; @@ -23,8 +22,8 @@ const HedPreprocessor = (props: HedProcessorProps) => { processorNode: { detect_resolution, image_resolution, scribble }, isEnabled, } = props; - const isBusy = useAppSelector(selectIsBusy); const processorChanged = useProcessorNodeChanged(); + const { t } = useTranslation(); const handleDetectResolutionChanged = useCallback( (v: number) => { @@ -62,7 +61,7 @@ const HedPreprocessor = (props: HedProcessorProps) => { return ( { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/LineartAnimeProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/LineartAnimeProcessor.tsx index 90177e7ceb..f7970fda75 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/LineartAnimeProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/LineartAnimeProcessor.tsx @@ -1,9 +1,8 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredLineartAnimeImageProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; @@ -20,7 +19,7 @@ const LineartAnimeProcessor = (props: Props) => { const { controlNetId, processorNode, isEnabled } = props; const { image_resolution, detect_resolution } = processorNode; const processorChanged = useProcessorNodeChanged(); - const isBusy = useAppSelector(selectIsBusy); + const { t } = useTranslation(); const handleDetectResolutionChanged = useCallback( (v: number) => { @@ -51,7 +50,7 @@ const LineartAnimeProcessor = (props: Props) => { return ( { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/LineartProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/LineartProcessor.tsx index 7f661b1cb9..4879857a64 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/LineartProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/LineartProcessor.tsx @@ -1,10 +1,9 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import IAISwitch from 'common/components/IAISwitch'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredLineartImageProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { ChangeEvent, memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; @@ -21,7 +20,7 @@ const LineartProcessor = (props: LineartProcessorProps) => { const { controlNetId, processorNode, isEnabled } = props; const { image_resolution, detect_resolution, coarse } = processorNode; const processorChanged = useProcessorNodeChanged(); - const isBusy = useAppSelector(selectIsBusy); + const { t } = useTranslation(); const handleDetectResolutionChanged = useCallback( (v: number) => { @@ -59,7 +58,7 @@ const LineartProcessor = (props: LineartProcessorProps) => { return ( { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/MediapipeFaceProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/MediapipeFaceProcessor.tsx index b8b24ce877..d1b92a3b4f 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/MediapipeFaceProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/MediapipeFaceProcessor.tsx @@ -1,9 +1,8 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredMediapipeFaceProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; @@ -20,7 +19,7 @@ const MediapipeFaceProcessor = (props: Props) => { const { controlNetId, processorNode, isEnabled } = props; const { max_faces, min_confidence } = processorNode; const processorChanged = useProcessorNodeChanged(); - const isBusy = useAppSelector(selectIsBusy); + const { t } = useTranslation(); const handleMaxFacesChanged = useCallback( (v: number) => { @@ -47,7 +46,7 @@ const MediapipeFaceProcessor = (props: Props) => { return ( { max={20} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { step={0.01} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/MidasDepthProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/MidasDepthProcessor.tsx index 54b174b5df..893e459875 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/MidasDepthProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/MidasDepthProcessor.tsx @@ -1,9 +1,8 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredMidasDepthImageProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; @@ -20,7 +19,7 @@ const MidasDepthProcessor = (props: Props) => { const { controlNetId, processorNode, isEnabled } = props; const { a_mult, bg_th } = processorNode; const processorChanged = useProcessorNodeChanged(); - const isBusy = useAppSelector(selectIsBusy); + const { t } = useTranslation(); const handleAMultChanged = useCallback( (v: number) => { @@ -47,7 +46,7 @@ const MidasDepthProcessor = (props: Props) => { return ( { step={0.01} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { step={0.01} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/MlsdImageProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/MlsdImageProcessor.tsx index 9a86cd2cb5..c97c803021 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/MlsdImageProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/MlsdImageProcessor.tsx @@ -1,9 +1,8 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredMlsdImageProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; @@ -20,7 +19,7 @@ const MlsdImageProcessor = (props: Props) => { const { controlNetId, processorNode, isEnabled } = props; const { image_resolution, detect_resolution, thr_d, thr_v } = processorNode; const processorChanged = useProcessorNodeChanged(); - const isBusy = useAppSelector(selectIsBusy); + const { t } = useTranslation(); const handleDetectResolutionChanged = useCallback( (v: number) => { @@ -73,7 +72,7 @@ const MlsdImageProcessor = (props: Props) => { return ( { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { step={0.01} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { step={0.01} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/NormalBaeProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/NormalBaeProcessor.tsx index a0a8ad72cf..a0c15374a8 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/NormalBaeProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/NormalBaeProcessor.tsx @@ -1,9 +1,8 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredNormalbaeImageProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; @@ -20,7 +19,7 @@ const NormalBaeProcessor = (props: Props) => { const { controlNetId, processorNode, isEnabled } = props; const { image_resolution, detect_resolution } = processorNode; const processorChanged = useProcessorNodeChanged(); - const isBusy = useAppSelector(selectIsBusy); + const { t } = useTranslation(); const handleDetectResolutionChanged = useCallback( (v: number) => { @@ -51,7 +50,7 @@ const NormalBaeProcessor = (props: Props) => { return ( { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/OpenposeProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/OpenposeProcessor.tsx index 8335a5f75d..904078ff6d 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/OpenposeProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/OpenposeProcessor.tsx @@ -1,10 +1,9 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import IAISwitch from 'common/components/IAISwitch'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredOpenposeImageProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { ChangeEvent, memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; @@ -21,7 +20,7 @@ const OpenposeProcessor = (props: Props) => { const { controlNetId, processorNode, isEnabled } = props; const { image_resolution, detect_resolution, hand_and_face } = processorNode; const processorChanged = useProcessorNodeChanged(); - const isBusy = useAppSelector(selectIsBusy); + const { t } = useTranslation(); const handleDetectResolutionChanged = useCallback( (v: number) => { @@ -59,7 +58,7 @@ const OpenposeProcessor = (props: Props) => { return ( { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/PidiProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/PidiProcessor.tsx index 4eab83136d..50065d66d0 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/PidiProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/PidiProcessor.tsx @@ -1,10 +1,9 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import IAISwitch from 'common/components/IAISwitch'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredPidiImageProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { ChangeEvent, memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; @@ -21,7 +20,7 @@ const PidiProcessor = (props: Props) => { const { controlNetId, processorNode, isEnabled } = props; const { image_resolution, detect_resolution, scribble, safe } = processorNode; const processorChanged = useProcessorNodeChanged(); - const isBusy = useAppSelector(selectIsBusy); + const { t } = useTranslation(); const handleDetectResolutionChanged = useCallback( (v: number) => { @@ -66,7 +65,7 @@ const PidiProcessor = (props: Props) => { return ( { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/common/ProcessorWrapper.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/common/ProcessorWrapper.tsx index 5dc0a909d5..c3e5b2258e 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/common/ProcessorWrapper.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/common/ProcessorWrapper.tsx @@ -4,5 +4,9 @@ import { PropsWithChildren } from 'react'; type Props = PropsWithChildren; export default function ProcessorWrapper(props: Props) { - return {props.children}; + return ( + + {props.children} + + ); } diff --git a/invokeai/frontend/web/src/features/controlNet/store/constants.ts b/invokeai/frontend/web/src/features/controlNet/store/constants.ts index f8f9c38619..1c6437a87d 100644 --- a/invokeai/frontend/web/src/features/controlNet/store/constants.ts +++ b/invokeai/frontend/web/src/features/controlNet/store/constants.ts @@ -1,3 +1,4 @@ +import i18n from 'i18next'; import { ControlNetProcessorType, RequiredControlNetProcessorNode, @@ -12,7 +13,6 @@ type ControlNetProcessorsDict = Record< default: RequiredControlNetProcessorNode | { type: 'none' }; } >; - /** * A dict of ControlNet processors, including: * - type @@ -25,16 +25,24 @@ type ControlNetProcessorsDict = Record< export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = { none: { type: 'none', - label: 'none', - description: '', + get label() { + return i18n.t('controlnet.none'); + }, + get description() { + return i18n.t('controlnet.noneDescription'); + }, default: { type: 'none', }, }, canny_image_processor: { type: 'canny_image_processor', - label: 'Canny', - description: '', + get label() { + return i18n.t('controlnet.canny'); + }, + get description() { + return i18n.t('controlnet.cannyDescription'); + }, default: { id: 'canny_image_processor', type: 'canny_image_processor', @@ -42,10 +50,28 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = { high_threshold: 200, }, }, + color_map_image_processor: { + type: 'color_map_image_processor', + get label() { + return i18n.t('controlnet.colorMap'); + }, + get description() { + return i18n.t('controlnet.colorMapDescription'); + }, + default: { + id: 'color_map_image_processor', + type: 'color_map_image_processor', + color_map_tile_size: 64, + }, + }, content_shuffle_image_processor: { type: 'content_shuffle_image_processor', - label: 'Content Shuffle', - description: '', + get label() { + return i18n.t('controlnet.contentShuffle'); + }, + get description() { + return i18n.t('controlnet.contentShuffleDescription'); + }, default: { id: 'content_shuffle_image_processor', type: 'content_shuffle_image_processor', @@ -58,8 +84,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = { }, hed_image_processor: { type: 'hed_image_processor', - label: 'HED', - description: '', + get label() { + return i18n.t('controlnet.hed'); + }, + get description() { + return i18n.t('controlnet.hedDescription'); + }, default: { id: 'hed_image_processor', type: 'hed_image_processor', @@ -70,8 +100,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = { }, lineart_anime_image_processor: { type: 'lineart_anime_image_processor', - label: 'Lineart Anime', - description: '', + get label() { + return i18n.t('controlnet.lineartAnime'); + }, + get description() { + return i18n.t('controlnet.lineartAnimeDescription'); + }, default: { id: 'lineart_anime_image_processor', type: 'lineart_anime_image_processor', @@ -81,8 +115,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = { }, lineart_image_processor: { type: 'lineart_image_processor', - label: 'Lineart', - description: '', + get label() { + return i18n.t('controlnet.lineart'); + }, + get description() { + return i18n.t('controlnet.lineartDescription'); + }, default: { id: 'lineart_image_processor', type: 'lineart_image_processor', @@ -93,8 +131,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = { }, mediapipe_face_processor: { type: 'mediapipe_face_processor', - label: 'Mediapipe Face', - description: '', + get label() { + return i18n.t('controlnet.mediapipeFace'); + }, + get description() { + return i18n.t('controlnet.mediapipeFaceDescription'); + }, default: { id: 'mediapipe_face_processor', type: 'mediapipe_face_processor', @@ -104,8 +146,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = { }, midas_depth_image_processor: { type: 'midas_depth_image_processor', - label: 'Depth (Midas)', - description: '', + get label() { + return i18n.t('controlnet.depthMidas'); + }, + get description() { + return i18n.t('controlnet.depthMidasDescription'); + }, default: { id: 'midas_depth_image_processor', type: 'midas_depth_image_processor', @@ -115,8 +161,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = { }, mlsd_image_processor: { type: 'mlsd_image_processor', - label: 'M-LSD', - description: '', + get label() { + return i18n.t('controlnet.mlsd'); + }, + get description() { + return i18n.t('controlnet.mlsdDescription'); + }, default: { id: 'mlsd_image_processor', type: 'mlsd_image_processor', @@ -128,8 +178,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = { }, normalbae_image_processor: { type: 'normalbae_image_processor', - label: 'Normal BAE', - description: '', + get label() { + return i18n.t('controlnet.normalBae'); + }, + get description() { + return i18n.t('controlnet.normalBaeDescription'); + }, default: { id: 'normalbae_image_processor', type: 'normalbae_image_processor', @@ -139,8 +193,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = { }, openpose_image_processor: { type: 'openpose_image_processor', - label: 'Openpose', - description: '', + get label() { + return i18n.t('controlnet.openPose'); + }, + get description() { + return i18n.t('controlnet.openPoseDescription'); + }, default: { id: 'openpose_image_processor', type: 'openpose_image_processor', @@ -151,8 +209,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = { }, pidi_image_processor: { type: 'pidi_image_processor', - label: 'PIDI', - description: '', + get label() { + return i18n.t('controlnet.pidi'); + }, + get description() { + return i18n.t('controlnet.pidiDescription'); + }, default: { id: 'pidi_image_processor', type: 'pidi_image_processor', @@ -164,8 +226,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = { }, zoe_depth_image_processor: { type: 'zoe_depth_image_processor', - label: 'Depth (Zoe)', - description: '', + get label() { + return i18n.t('controlnet.depthZoe'); + }, + get description() { + return i18n.t('controlnet.depthZoeDescription'); + }, default: { id: 'zoe_depth_image_processor', type: 'zoe_depth_image_processor', @@ -186,4 +252,6 @@ export const CONTROLNET_MODEL_DEFAULT_PROCESSORS: { shuffle: 'content_shuffle_image_processor', openpose: 'openpose_image_processor', mediapipe: 'mediapipe_face_processor', + pidi: 'pidi_image_processor', + zoe: 'zoe_depth_image_processor', }; diff --git a/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts b/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts index 8f391521d6..70c459f0a4 100644 --- a/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts +++ b/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts @@ -1,9 +1,13 @@ import { PayloadAction, createSlice } from '@reduxjs/toolkit'; -import { ControlNetModelParam } from 'features/parameters/types/parameterSchemas'; +import { + ControlNetModelParam, + IPAdapterModelParam, +} from 'features/parameters/types/parameterSchemas'; import { cloneDeep, forEach } from 'lodash-es'; import { imagesApi } from 'services/api/endpoints/images'; import { components } from 'services/api/schema'; import { isAnySessionRejected } from 'services/api/thunks/session'; +import { ImageDTO } from 'services/api/types'; import { appSocketInvocationError } from 'services/events/actions'; import { controlNetImageProcessed } from './actions'; import { @@ -56,16 +60,36 @@ export type ControlNetConfig = { shouldAutoConfig: boolean; }; +export type IPAdapterConfig = { + adapterImage: ImageDTO | null; + model: IPAdapterModelParam | null; + weight: number; + beginStepPct: number; + endStepPct: number; +}; + export type ControlNetState = { controlNets: Record; isEnabled: boolean; pendingControlImages: string[]; + isIPAdapterEnabled: boolean; + ipAdapterInfo: IPAdapterConfig; +}; + +export const initialIPAdapterState: IPAdapterConfig = { + adapterImage: null, + model: null, + weight: 1, + beginStepPct: 0, + endStepPct: 1, }; export const initialControlNetState: ControlNetState = { controlNets: {}, isEnabled: false, pendingControlImages: [], + isIPAdapterEnabled: false, + ipAdapterInfo: { ...initialIPAdapterState }, }; export const controlNetSlice = createSlice({ @@ -122,16 +146,16 @@ export const controlNetSlice = createSlice({ const { controlNetId } = action.payload; delete state.controlNets[controlNetId]; }, - controlNetToggled: ( + controlNetIsEnabledChanged: ( state, - action: PayloadAction<{ controlNetId: string }> + action: PayloadAction<{ controlNetId: string; isEnabled: boolean }> ) => { - const { controlNetId } = action.payload; + const { controlNetId, isEnabled } = action.payload; const cn = state.controlNets[controlNetId]; if (!cn) { return; } - cn.isEnabled = !cn.isEnabled; + cn.isEnabled = isEnabled; }, controlNetImageChanged: ( state, @@ -353,6 +377,31 @@ export const controlNetSlice = createSlice({ controlNetReset: () => { return { ...initialControlNetState }; }, + isIPAdapterEnabledChanged: (state, action: PayloadAction) => { + state.isIPAdapterEnabled = action.payload; + }, + ipAdapterImageChanged: (state, action: PayloadAction) => { + state.ipAdapterInfo.adapterImage = action.payload; + }, + ipAdapterWeightChanged: (state, action: PayloadAction) => { + state.ipAdapterInfo.weight = action.payload; + }, + ipAdapterModelChanged: ( + state, + action: PayloadAction + ) => { + state.ipAdapterInfo.model = action.payload; + }, + ipAdapterBeginStepPctChanged: (state, action: PayloadAction) => { + state.ipAdapterInfo.beginStepPct = action.payload; + }, + ipAdapterEndStepPctChanged: (state, action: PayloadAction) => { + state.ipAdapterInfo.endStepPct = action.payload; + }, + ipAdapterStateReset: (state) => { + state.isIPAdapterEnabled = false; + state.ipAdapterInfo = { ...initialIPAdapterState }; + }, }, extraReducers: (builder) => { builder.addCase(controlNetImageProcessed, (state, action) => { @@ -401,7 +450,7 @@ export const { controlNetRemoved, controlNetImageChanged, controlNetProcessedImageChanged, - controlNetToggled, + controlNetIsEnabledChanged, controlNetModelChanged, controlNetWeightChanged, controlNetBeginStepPctChanged, @@ -412,6 +461,13 @@ export const { controlNetProcessorTypeChanged, controlNetReset, controlNetAutoConfigToggled, + isIPAdapterEnabledChanged, + ipAdapterImageChanged, + ipAdapterWeightChanged, + ipAdapterModelChanged, + ipAdapterBeginStepPctChanged, + ipAdapterEndStepPctChanged, + ipAdapterStateReset, } = controlNetSlice.actions; export default controlNetSlice.reducer; diff --git a/invokeai/frontend/web/src/features/controlNet/store/types.ts b/invokeai/frontend/web/src/features/controlNet/store/types.ts index 80edb41699..871ca91377 100644 --- a/invokeai/frontend/web/src/features/controlNet/store/types.ts +++ b/invokeai/frontend/web/src/features/controlNet/store/types.ts @@ -1,6 +1,7 @@ import { isObject } from 'lodash-es'; import { CannyImageProcessorInvocation, + ColorMapImageProcessorInvocation, ContentShuffleImageProcessorInvocation, HedImageProcessorInvocation, LineartAnimeImageProcessorInvocation, @@ -20,6 +21,7 @@ import { O } from 'ts-toolbelt'; */ export type ControlNetProcessorNode = | CannyImageProcessorInvocation + | ColorMapImageProcessorInvocation | ContentShuffleImageProcessorInvocation | HedImageProcessorInvocation | LineartAnimeImageProcessorInvocation @@ -47,6 +49,14 @@ export type RequiredCannyImageProcessorInvocation = O.Required< 'type' | 'low_threshold' | 'high_threshold' >; +/** + * The Color Map processor node, with parameters flagged as required + */ +export type RequiredColorMapImageProcessorInvocation = O.Required< + ColorMapImageProcessorInvocation, + 'type' | 'color_map_tile_size' +>; + /** * The ContentShuffle processor node, with parameters flagged as required */ @@ -140,6 +150,7 @@ export type RequiredZoeDepthImageProcessorInvocation = O.Required< */ export type RequiredControlNetProcessorNode = O.Required< | RequiredCannyImageProcessorInvocation + | RequiredColorMapImageProcessorInvocation | RequiredContentShuffleImageProcessorInvocation | RequiredHedImageProcessorInvocation | RequiredLineartAnimeImageProcessorInvocation @@ -166,6 +177,22 @@ export const isCannyImageProcessorInvocation = ( return false; }; +/** + * Type guard for ColorMapImageProcessorInvocation + */ +export const isColorMapImageProcessorInvocation = ( + obj: unknown +): obj is ColorMapImageProcessorInvocation => { + if ( + isObject(obj) && + 'type' in obj && + obj.type === 'color_map_image_processor' + ) { + return true; + } + return false; +}; + /** * Type guard for ContentShuffleImageProcessorInvocation */ diff --git a/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageButton.tsx b/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageButton.tsx index dde6d1a517..5a98581403 100644 --- a/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageButton.tsx +++ b/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageButton.tsx @@ -1,20 +1,9 @@ import { IconButtonProps } from '@chakra-ui/react'; -import { createSelector } from '@reduxjs/toolkit'; -import { stateSelector } from 'app/store/store'; import { useAppSelector } from 'app/store/storeHooks'; import IAIIconButton from 'common/components/IAIIconButton'; import { useTranslation } from 'react-i18next'; import { FaTrash } from 'react-icons/fa'; -const deleteImageButtonsSelector = createSelector( - [stateSelector], - ({ system }) => { - const { isProcessing, isConnected } = system; - - return isConnected && !isProcessing; - } -); - type DeleteImageButtonProps = Omit & { onClick: () => void; }; @@ -22,7 +11,7 @@ type DeleteImageButtonProps = Omit & { export const DeleteImageButton = (props: DeleteImageButtonProps) => { const { onClick, isDisabled } = props; const { t } = useTranslation(); - const canDeleteImage = useAppSelector(deleteImageButtonsSelector); + const isConnected = useAppSelector((state) => state.system.isConnected); return ( { icon={} tooltip={`${t('gallery.deleteImage')} (Del)`} aria-label={`${t('gallery.deleteImage')} (Del)`} - isDisabled={isDisabled || !canDeleteImage} + isDisabled={isDisabled || !isConnected} colorScheme="error" /> ); diff --git a/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageModal.tsx b/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageModal.tsx index 0d8ecfbae6..78bd71e802 100644 --- a/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageModal.tsx +++ b/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageModal.tsx @@ -10,20 +10,20 @@ import { Text, } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; +import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import IAIButton from 'common/components/IAIButton'; import IAISwitch from 'common/components/IAISwitch'; import { setShouldConfirmOnDelete } from 'features/system/store/systemSlice'; -import { stateSelector } from 'app/store/store'; import { some } from 'lodash-es'; import { ChangeEvent, memo, useCallback, useRef } from 'react'; import { useTranslation } from 'react-i18next'; import { imageDeletionConfirmed } from '../store/actions'; import { getImageUsage, selectImageUsage } from '../store/selectors'; import { imageDeletionCanceled, isModalOpenChanged } from '../store/slice'; -import ImageUsageMessage from './ImageUsageMessage'; import { ImageUsage } from '../store/types'; +import ImageUsageMessage from './ImageUsageMessage'; const selector = createSelector( [stateSelector, selectImageUsage], @@ -42,6 +42,7 @@ const selector = createSelector( isCanvasImage: some(allImageUsage, (i) => i.isCanvasImage), isNodesImage: some(allImageUsage, (i) => i.isNodesImage), isControlNetImage: some(allImageUsage, (i) => i.isControlNetImage), + isIPAdapterImage: some(allImageUsage, (i) => i.isIPAdapterImage), }; return { diff --git a/invokeai/frontend/web/src/features/deleteImageModal/components/ImageUsageMessage.tsx b/invokeai/frontend/web/src/features/deleteImageModal/components/ImageUsageMessage.tsx index 3ed7f3f05f..6844e13a32 100644 --- a/invokeai/frontend/web/src/features/deleteImageModal/components/ImageUsageMessage.tsx +++ b/invokeai/frontend/web/src/features/deleteImageModal/components/ImageUsageMessage.tsx @@ -1,17 +1,20 @@ import { ListItem, Text, UnorderedList } from '@chakra-ui/react'; import { some } from 'lodash-es'; import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; import { ImageUsage } from '../store/types'; + type Props = { imageUsage?: ImageUsage; topMessage?: string; bottomMessage?: string; }; const ImageUsageMessage = (props: Props) => { + const { t } = useTranslation(); const { imageUsage, - topMessage = 'This image is currently in use in the following features:', - bottomMessage = 'If you delete this image, those features will immediately be reset.', + topMessage = t('gallery.currentlyInUse'), + bottomMessage = t('gallery.featuresWillReset'), } = props; if (!imageUsage) { @@ -26,10 +29,21 @@ const ImageUsageMessage = (props: Props) => { <> {topMessage} - {imageUsage.isInitialImage && Image to Image} - {imageUsage.isCanvasImage && Unified Canvas} - {imageUsage.isControlNetImage && ControlNet} - {imageUsage.isNodesImage && Node Editor} + {imageUsage.isInitialImage && ( + {t('common.img2img')} + )} + {imageUsage.isCanvasImage && ( + {t('common.unifiedCanvas')} + )} + {imageUsage.isControlNetImage && ( + {t('common.controlNet')} + )} + {imageUsage.isIPAdapterImage && ( + {t('common.ipAdapter')} + )} + {imageUsage.isNodesImage && ( + {t('common.nodeEditor')} + )} {bottomMessage} diff --git a/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts b/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts index 37be06bad6..151e975634 100644 --- a/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts +++ b/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts @@ -1,9 +1,9 @@ import { createSelector } from '@reduxjs/toolkit'; import { RootState } from 'app/store/store'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; +import { isInvocationNode } from 'features/nodes/types/types'; import { some } from 'lodash-es'; import { ImageUsage } from './types'; -import { isInvocationNode } from 'features/nodes/types/types'; export const getImageUsage = (state: RootState, image_name: string) => { const { generation, canvas, nodes, controlNet } = state; @@ -27,11 +27,15 @@ export const getImageUsage = (state: RootState, image_name: string) => { c.controlImage === image_name || c.processedControlImage === image_name ); + const isIPAdapterImage = + controlNet.ipAdapterInfo.adapterImage?.image_name === image_name; + const imageUsage: ImageUsage = { isInitialImage, isCanvasImage, isNodesImage, isControlNetImage, + isIPAdapterImage, }; return imageUsage; diff --git a/invokeai/frontend/web/src/features/deleteImageModal/store/types.ts b/invokeai/frontend/web/src/features/deleteImageModal/store/types.ts index 2beaa8ca2e..fd13462866 100644 --- a/invokeai/frontend/web/src/features/deleteImageModal/store/types.ts +++ b/invokeai/frontend/web/src/features/deleteImageModal/store/types.ts @@ -10,4 +10,5 @@ export type ImageUsage = { isCanvasImage: boolean; isNodesImage: boolean; isControlNetImage: boolean; + isIPAdapterImage: boolean; }; diff --git a/invokeai/frontend/web/src/features/dnd/components/AppDndContext.tsx b/invokeai/frontend/web/src/features/dnd/components/AppDndContext.tsx index bffe738aa9..520abc33ed 100644 --- a/invokeai/frontend/web/src/features/dnd/components/AppDndContext.tsx +++ b/invokeai/frontend/web/src/features/dnd/components/AppDndContext.tsx @@ -2,7 +2,6 @@ import { DragOverlay, MouseSensor, TouchSensor, - pointerWithin, useSensor, useSensors, } from '@dnd-kit/core'; @@ -14,6 +13,7 @@ import { AnimatePresence, motion } from 'framer-motion'; import { PropsWithChildren, memo, useCallback, useState } from 'react'; import { useScaledModifer } from '../hooks/useScaledCenteredModifer'; import { DragEndEvent, DragStartEvent, TypesafeDraggableData } from '../types'; +import { customPointerWithin } from '../util/customPointerWithin'; import { DndContextTypesafe } from './DndContextTypesafe'; import DragPreview from './DragPreview'; @@ -77,7 +77,7 @@ const AppDndContext = (props: PropsWithChildren) => { onDragStart={handleDragStart} onDragEnd={handleDragEnd} sensors={sensors} - collisionDetection={pointerWithin} + collisionDetection={customPointerWithin} autoScroll={false} > {props.children} @@ -87,7 +87,7 @@ const AppDndContext = (props: PropsWithChildren) => { style={{ width: 'min-content', height: 'min-content', - cursor: 'none', + cursor: 'grabbing', userSelect: 'none', // expand overlay to prevent cursor from going outside it and displaying padding: '10rem', diff --git a/invokeai/frontend/web/src/features/dnd/types/index.ts b/invokeai/frontend/web/src/features/dnd/types/index.ts index 294132d0a3..3c5751bfac 100644 --- a/invokeai/frontend/web/src/features/dnd/types/index.ts +++ b/invokeai/frontend/web/src/features/dnd/types/index.ts @@ -35,6 +35,10 @@ export type ControlNetDropData = BaseDropData & { }; }; +export type IPAdapterImageDropData = BaseDropData & { + actionType: 'SET_IP_ADAPTER_IMAGE'; +}; + export type CanvasInitialImageDropData = BaseDropData & { actionType: 'SET_CANVAS_INITIAL_IMAGE'; }; @@ -73,6 +77,7 @@ export type TypesafeDroppableData = | CurrentImageDropData | InitialImageDropData | ControlNetDropData + | IPAdapterImageDropData | CanvasInitialImageDropData | NodesImageDropData | AddToBatchDropData diff --git a/invokeai/frontend/web/src/features/dnd/util/customPointerWithin.ts b/invokeai/frontend/web/src/features/dnd/util/customPointerWithin.ts new file mode 100644 index 0000000000..68f1e98b16 --- /dev/null +++ b/invokeai/frontend/web/src/features/dnd/util/customPointerWithin.ts @@ -0,0 +1,38 @@ +import { CollisionDetection, pointerWithin } from '@dnd-kit/core'; + +/** + * Filters out droppable elements that are overflowed, then applies the pointerWithin collision detection. + * + * Fixes collision detection firing on droppables that are not visible, having been scrolled out of view. + * + * See https://github.com/clauderic/dnd-kit/issues/1198 + */ +export const customPointerWithin: CollisionDetection = (arg) => { + if (!arg.pointerCoordinates) { + // sanity check + return []; + } + + // Get all elements at the pointer coordinates. This excludes elements which are overflowed, + // so it won't include the droppable elements that are scrolled out of view. + const targetElements = document.elementsFromPoint( + arg.pointerCoordinates.x, + arg.pointerCoordinates.y + ); + + const filteredDroppableContainers = arg.droppableContainers.filter( + (container) => { + if (!container.node.current) { + return false; + } + // Only include droppable elements that are in the list of elements at the pointer coordinates. + return targetElements.includes(container.node.current); + } + ); + + // Run the provided collision detection with the filtered droppable elements. + return pointerWithin({ + ...arg, + droppableContainers: filteredDroppableContainers, + }); +}; diff --git a/invokeai/frontend/web/src/features/dnd/util/isValidDrop.ts b/invokeai/frontend/web/src/features/dnd/util/isValidDrop.ts index f704d22dff..b040caf83d 100644 --- a/invokeai/frontend/web/src/features/dnd/util/isValidDrop.ts +++ b/invokeai/frontend/web/src/features/dnd/util/isValidDrop.ts @@ -24,6 +24,8 @@ export const isValidDrop = ( return payloadType === 'IMAGE_DTO'; case 'SET_CONTROLNET_IMAGE': return payloadType === 'IMAGE_DTO'; + case 'SET_IP_ADAPTER_IMAGE': + return payloadType === 'IMAGE_DTO'; case 'SET_CANVAS_INITIAL_IMAGE': return payloadType === 'IMAGE_DTO'; case 'SET_NODES_IMAGE': diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx index 70aadcd4ce..f34235bab2 100644 --- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx +++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx @@ -2,26 +2,33 @@ import { Flex } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; import { stateSelector } from 'app/store/store'; import { useAppSelector } from 'app/store/storeHooks'; -import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import IAICollapse from 'common/components/IAICollapse'; -import { memo } from 'react'; +import { memo, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; import { useFeatureStatus } from '../../system/hooks/useFeatureStatus'; -import ParamDynamicPromptsCombinatorial from './ParamDynamicPromptsCombinatorial'; -import ParamDynamicPromptsToggle from './ParamDynamicPromptsEnabled'; import ParamDynamicPromptsMaxPrompts from './ParamDynamicPromptsMaxPrompts'; - -const selector = createSelector( - stateSelector, - (state) => { - const { isEnabled } = state.dynamicPrompts; - - return { activeLabel: isEnabled ? 'Enabled' : undefined }; - }, - defaultSelectorOptions -); +import ParamDynamicPromptsPreview from './ParamDynamicPromptsPreview'; +import ParamDynamicPromptsSeedBehaviour from './ParamDynamicPromptsSeedBehaviour'; const ParamDynamicPromptsCollapse = () => { - const { activeLabel } = useAppSelector(selector); + const { t } = useTranslation(); + const selectActiveLabel = useMemo( + () => + createSelector(stateSelector, ({ dynamicPrompts }) => { + const count = dynamicPrompts.prompts.length; + if (count === 1) { + return t('dynamicPrompts.promptsWithCount_one', { + count, + }); + } else { + return t('dynamicPrompts.promptsWithCount_other', { + count, + }); + } + }), + [t] + ); + const activeLabel = useAppSelector(selectActiveLabel); const isDynamicPromptingEnabled = useFeatureStatus('dynamicPrompting').isFeatureEnabled; @@ -31,10 +38,13 @@ const ParamDynamicPromptsCollapse = () => { } return ( - + - - + + diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx index c028a5d55c..353f0b4eaa 100644 --- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx +++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx @@ -4,21 +4,23 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import IAISwitch from 'common/components/IAISwitch'; import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { combinatorialToggled } from '../store/dynamicPromptsSlice'; const selector = createSelector( stateSelector, (state) => { - const { combinatorial, isEnabled } = state.dynamicPrompts; + const { combinatorial } = state.dynamicPrompts; - return { combinatorial, isDisabled: !isEnabled }; + return { combinatorial }; }, defaultSelectorOptions ); const ParamDynamicPromptsCombinatorial = () => { - const { combinatorial, isDisabled } = useAppSelector(selector); + const { combinatorial } = useAppSelector(selector); const dispatch = useAppDispatch(); + const { t } = useTranslation(); const handleChange = useCallback(() => { dispatch(combinatorialToggled()); @@ -26,8 +28,7 @@ const ParamDynamicPromptsCombinatorial = () => { return ( diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx deleted file mode 100644 index 1b31147937..0000000000 --- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx +++ /dev/null @@ -1,36 +0,0 @@ -import { createSelector } from '@reduxjs/toolkit'; -import { stateSelector } from 'app/store/store'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; -import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; -import IAISwitch from 'common/components/IAISwitch'; -import { memo, useCallback } from 'react'; -import { isEnabledToggled } from '../store/dynamicPromptsSlice'; - -const selector = createSelector( - stateSelector, - (state) => { - const { isEnabled } = state.dynamicPrompts; - - return { isEnabled }; - }, - defaultSelectorOptions -); - -const ParamDynamicPromptsToggle = () => { - const dispatch = useAppDispatch(); - const { isEnabled } = useAppSelector(selector); - - const handleToggleIsEnabled = useCallback(() => { - dispatch(isEnabledToggled()); - }, [dispatch]); - - return ( - - ); -}; - -export default memo(ParamDynamicPromptsToggle); diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx index f374f1cb15..df80faaa3b 100644 --- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx +++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx @@ -8,11 +8,13 @@ import { maxPromptsChanged, maxPromptsReset, } from '../store/dynamicPromptsSlice'; +import { useTranslation } from 'react-i18next'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; const selector = createSelector( stateSelector, (state) => { - const { maxPrompts, combinatorial, isEnabled } = state.dynamicPrompts; + const { maxPrompts, combinatorial } = state.dynamicPrompts; const { min, sliderMax, inputMax } = state.config.sd.dynamicPrompts.maxPrompts; @@ -21,7 +23,7 @@ const selector = createSelector( min, sliderMax, inputMax, - isDisabled: !isEnabled || !combinatorial, + isDisabled: !combinatorial, }; }, defaultSelectorOptions @@ -31,6 +33,7 @@ const ParamDynamicPromptsMaxPrompts = () => { const { maxPrompts, min, sliderMax, inputMax, isDisabled } = useAppSelector(selector); const dispatch = useAppDispatch(); + const { t } = useTranslation(); const handleChange = useCallback( (v: number) => { @@ -44,19 +47,21 @@ const ParamDynamicPromptsMaxPrompts = () => { }, [dispatch]); return ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsPreview.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsPreview.tsx new file mode 100644 index 0000000000..7e64521be2 --- /dev/null +++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsPreview.tsx @@ -0,0 +1,116 @@ +import { + ChakraProps, + Flex, + FormControl, + FormLabel, + ListItem, + OrderedList, + Spinner, + Text, +} from '@chakra-ui/react'; +import { createSelector } from '@reduxjs/toolkit'; +import { stateSelector } from 'app/store/store'; +import { useAppSelector } from 'app/store/storeHooks'; +import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; +import { IAINoContentFallback } from 'common/components/IAIImageFallback'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; +import ScrollableContent from 'features/nodes/components/sidePanel/ScrollableContent'; +import { memo } from 'react'; +import { FaCircleExclamation } from 'react-icons/fa6'; + +const selector = createSelector( + stateSelector, + (state) => { + const { isLoading, isError, prompts, parsingError } = state.dynamicPrompts; + + return { + prompts, + parsingError, + isError, + isLoading, + }; + }, + defaultSelectorOptions +); + +const listItemStyles: ChakraProps['sx'] = { + '&::marker': { color: 'base.500', _dark: { color: 'base.500' } }, +}; + +const ParamDynamicPromptsPreview = () => { + const { prompts, parsingError, isLoading, isError } = + useAppSelector(selector); + + if (isError) { + return ( + + + + + + ); + } + + return ( + + + + Prompts Preview ({prompts.length}) + {parsingError && ` - ${parsingError}`} + + + + + {prompts.map((prompt, i) => ( + + {prompt} + + ))} + + + {isLoading && ( + + + + )} + + + + ); +}; + +export default memo(ParamDynamicPromptsPreview); diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsSeedBehaviour.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsSeedBehaviour.tsx new file mode 100644 index 0000000000..fdd90919af --- /dev/null +++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsSeedBehaviour.tsx @@ -0,0 +1,63 @@ +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIMantineSelect from 'common/components/IAIMantineSelect'; +import { memo, useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { + SeedBehaviour, + seedBehaviourChanged, +} from '../store/dynamicPromptsSlice'; +import IAIMantineSelectItemWithDescription from 'common/components/IAIMantineSelectItemWithDescription'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; + +type Item = { + label: string; + value: SeedBehaviour; + description: string; +}; + +const ParamDynamicPromptsSeedBehaviour = () => { + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + const seedBehaviour = useAppSelector( + (state) => state.dynamicPrompts.seedBehaviour + ); + + const data = useMemo(() => { + return [ + { + value: 'PER_ITERATION', + label: t('dynamicPrompts.seedBehaviour.perIterationLabel'), + description: t('dynamicPrompts.seedBehaviour.perIterationDesc'), + }, + { + value: 'PER_PROMPT', + label: t('dynamicPrompts.seedBehaviour.perPromptLabel'), + description: t('dynamicPrompts.seedBehaviour.perPromptDesc'), + }, + ]; + }, [t]); + + const handleChange = useCallback( + (v: string | null) => { + if (!v) { + return; + } + dispatch(seedBehaviourChanged(v as SeedBehaviour)); + }, + [dispatch] + ); + + return ( + + + + ); +}; + +export default memo(ParamDynamicPromptsSeedBehaviour); diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsPersistDenylist.ts b/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsPersistDenylist.ts new file mode 100644 index 0000000000..5b1ed52938 --- /dev/null +++ b/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsPersistDenylist.ts @@ -0,0 +1,4 @@ +import { initialDynamicPromptsState } from './dynamicPromptsSlice'; + +export const dynamicPromptsPersistDenylist: (keyof typeof initialDynamicPromptsState)[] = + ['prompts']; diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsSlice.ts b/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsSlice.ts index d96c8ff0b0..32e24845ea 100644 --- a/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsSlice.ts +++ b/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsSlice.ts @@ -1,15 +1,24 @@ import { PayloadAction, createSlice } from '@reduxjs/toolkit'; +export type SeedBehaviour = 'PER_ITERATION' | 'PER_PROMPT'; export interface DynamicPromptsState { - isEnabled: boolean; maxPrompts: number; combinatorial: boolean; + prompts: string[]; + parsingError: string | undefined | null; + isError: boolean; + isLoading: boolean; + seedBehaviour: SeedBehaviour; } export const initialDynamicPromptsState: DynamicPromptsState = { - isEnabled: false, maxPrompts: 100, combinatorial: true, + prompts: [], + parsingError: undefined, + isError: false, + isLoading: false, + seedBehaviour: 'PER_ITERATION', }; const initialState: DynamicPromptsState = initialDynamicPromptsState; @@ -27,17 +36,33 @@ export const dynamicPromptsSlice = createSlice({ combinatorialToggled: (state) => { state.combinatorial = !state.combinatorial; }, - isEnabledToggled: (state) => { - state.isEnabled = !state.isEnabled; + promptsChanged: (state, action: PayloadAction) => { + state.prompts = action.payload; + }, + parsingErrorChanged: (state, action: PayloadAction) => { + state.parsingError = action.payload; + }, + isErrorChanged: (state, action: PayloadAction) => { + state.isError = action.payload; + }, + isLoadingChanged: (state, action: PayloadAction) => { + state.isLoading = action.payload; + }, + seedBehaviourChanged: (state, action: PayloadAction) => { + state.seedBehaviour = action.payload; }, }, }); export const { - isEnabledToggled, maxPromptsChanged, maxPromptsReset, combinatorialToggled, + promptsChanged, + parsingErrorChanged, + isErrorChanged, + isLoadingChanged, + seedBehaviourChanged, } = dynamicPromptsSlice.actions; export default dynamicPromptsSlice.reducer; diff --git a/invokeai/frontend/web/src/features/embedding/components/AddEmbeddingButton.tsx b/invokeai/frontend/web/src/features/embedding/components/AddEmbeddingButton.tsx index 94ddc08315..d376e189aa 100644 --- a/invokeai/frontend/web/src/features/embedding/components/AddEmbeddingButton.tsx +++ b/invokeai/frontend/web/src/features/embedding/components/AddEmbeddingButton.tsx @@ -1,6 +1,7 @@ import IAIIconButton from 'common/components/IAIIconButton'; import { memo } from 'react'; import { FaCode } from 'react-icons/fa'; +import { useTranslation } from 'react-i18next'; type Props = { onClick: () => void; @@ -8,11 +9,12 @@ type Props = { const AddEmbeddingButton = (props: Props) => { const { onClick } = props; + const { t } = useTranslation(); return ( } sx={{ p: 2, diff --git a/invokeai/frontend/web/src/features/embedding/components/ParamEmbeddingPopover.tsx b/invokeai/frontend/web/src/features/embedding/components/ParamEmbeddingPopover.tsx index 93daaf946f..164fd01a1f 100644 --- a/invokeai/frontend/web/src/features/embedding/components/ParamEmbeddingPopover.tsx +++ b/invokeai/frontend/web/src/features/embedding/components/ParamEmbeddingPopover.tsx @@ -16,6 +16,7 @@ import { forEach } from 'lodash-es'; import { PropsWithChildren, memo, useCallback, useMemo, useRef } from 'react'; import { useGetTextualInversionModelsQuery } from 'services/api/endpoints/models'; import { PARAMETERS_PANEL_WIDTH } from 'theme/util/constants'; +import { useTranslation } from 'react-i18next'; type Props = PropsWithChildren & { onSelect: (v: string) => void; @@ -27,6 +28,7 @@ const ParamEmbeddingPopover = (props: Props) => { const { onSelect, isOpen, onClose, children } = props; const { data: embeddingQueryData } = useGetTextualInversionModelsQuery(); const inputRef = useRef(null); + const { t } = useTranslation(); const currentMainModel = useAppSelector( (state: RootState) => state.generation.model @@ -52,7 +54,7 @@ const ParamEmbeddingPopover = (props: Props) => { group: MODEL_TYPE_MAP[embedding.base_model], disabled, tooltip: disabled - ? `Incompatible base model: ${embedding.base_model}` + ? `${t('embedding.incompatibleModel')} ${embedding.base_model}` : undefined, }); }); @@ -63,7 +65,7 @@ const ParamEmbeddingPopover = (props: Props) => { ); return data.sort((a, b) => (a.disabled && !b.disabled ? 1 : -1)); - }, [embeddingQueryData, currentMainModel?.base_model]); + }, [embeddingQueryData, currentMainModel?.base_model, t]); const handleChange = useCallback( (v: string | null) => { @@ -118,10 +120,10 @@ const ParamEmbeddingPopover = (props: Props) => { { + ({ gallery }) => { const { autoAddBoardId, autoAssignBoardOnClick } = gallery; - const { isProcessing } = system; return { autoAddBoardId, autoAssignBoardOnClick, - isProcessing, }; }, defaultSelectorOptions @@ -26,8 +25,8 @@ const selector = createSelector( const BoardAutoAddSelect = () => { const dispatch = useAppDispatch(); - const { autoAddBoardId, autoAssignBoardOnClick, isProcessing } = - useAppSelector(selector); + const { t } = useTranslation(); + const { autoAddBoardId, autoAssignBoardOnClick } = useAppSelector(selector); const inputRef = useRef(null); const { boards, hasBoards } = useListAllBoardsQuery(undefined, { selectFromResult: ({ data }) => { @@ -63,15 +62,15 @@ const BoardAutoAddSelect = () => { return ( item.label?.toLowerCase().includes(value.toLowerCase().trim()) || item.value.toLowerCase().includes(value.toLowerCase().trim()) diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx index c711ad892b..c18a9f671c 100644 --- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx @@ -2,6 +2,7 @@ import { MenuGroup, MenuItem, MenuList } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import { IAIContextMenu, IAIContextMenuProps, @@ -9,13 +10,13 @@ import { import { autoAddBoardIdChanged } from 'features/gallery/store/gallerySlice'; import { BoardId } from 'features/gallery/store/types'; import { MouseEvent, memo, useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; import { FaPlus } from 'react-icons/fa'; import { useBoardName } from 'services/api/hooks/useBoardName'; import { BoardDTO } from 'services/api/types'; import { menuListMotionProps } from 'theme/components/menu'; import GalleryBoardContextMenuItems from './GalleryBoardContextMenuItems'; import NoBoardContextMenuItems from './NoBoardContextMenuItems'; -import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; type Props = { board?: BoardDTO; @@ -36,19 +37,17 @@ const BoardContextMenu = ({ () => createSelector( stateSelector, - ({ gallery, system }) => { + ({ gallery }) => { const isAutoAdd = gallery.autoAddBoardId === board_id; - const isProcessing = system.isProcessing; const autoAssignBoardOnClick = gallery.autoAssignBoardOnClick; - return { isAutoAdd, isProcessing, autoAssignBoardOnClick }; + return { isAutoAdd, autoAssignBoardOnClick }; }, defaultSelectorOptions ), [board_id] ); - const { isAutoAdd, isProcessing, autoAssignBoardOnClick } = - useAppSelector(selector); + const { isAutoAdd, autoAssignBoardOnClick } = useAppSelector(selector); const boardName = useBoardName(board_id); const handleSetAutoAdd = useCallback(() => { @@ -59,6 +58,8 @@ const BoardContextMenu = ({ e.preventDefault(); }, []); + const { t } = useTranslation(); + return ( menuProps={{ size: 'sm', isLazy: true }} @@ -75,10 +76,10 @@ const BoardContextMenu = ({ } - isDisabled={isAutoAdd || isProcessing || autoAssignBoardOnClick} + isDisabled={isAutoAdd || autoAssignBoardOnClick} onClick={handleSetAutoAdd} > - Auto-add to this Board + {t('boards.menuItemAutoAdd')} {!board && } {board && ( diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/AddBoardButton.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/AddBoardButton.tsx index ebd08e94d5..96739f4c84 100644 --- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/AddBoardButton.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/AddBoardButton.tsx @@ -2,22 +2,22 @@ import IAIIconButton from 'common/components/IAIIconButton'; import { memo, useCallback } from 'react'; import { FaPlus } from 'react-icons/fa'; import { useCreateBoardMutation } from 'services/api/endpoints/boards'; - -const DEFAULT_BOARD_NAME = 'My Board'; +import { useTranslation } from 'react-i18next'; const AddBoardButton = () => { + const { t } = useTranslation(); const [createBoard, { isLoading }] = useCreateBoardMutation(); - + const DEFAULT_BOARD_NAME = t('boards.myBoard'); const handleCreateBoard = useCallback(() => { createBoard(DEFAULT_BOARD_NAME); - }, [createBoard]); + }, [createBoard, DEFAULT_BOARD_NAME]); return ( } isLoading={isLoading} - tooltip="Add Board" - aria-label="Add Board" + tooltip={t('boards.addBoard')} + aria-label={t('boards.addBoard')} onClick={handleCreateBoard} size="sm" /> diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BoardsSearch.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BoardsSearch.tsx index d7db96a938..2d2a85597c 100644 --- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BoardsSearch.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BoardsSearch.tsx @@ -18,6 +18,7 @@ import { useEffect, useRef, } from 'react'; +import { useTranslation } from 'react-i18next'; const selector = createSelector( [stateSelector], @@ -32,6 +33,7 @@ const BoardsSearch = () => { const dispatch = useAppDispatch(); const { boardSearchText } = useAppSelector(selector); const inputRef = useRef(null); + const { t } = useTranslation(); const handleBoardSearch = useCallback( (searchTerm: string) => { @@ -73,7 +75,7 @@ const BoardsSearch = () => { { onClick={clearBoardSearch} size="xs" variant="ghost" - aria-label="Clear Search" + aria-label={t('boards.clearSearch')} opacity={0.5} icon={} /> diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx index 78b633bd99..1bb6816bd9 100644 --- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx @@ -16,6 +16,7 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import IAIDroppable from 'common/components/IAIDroppable'; import SelectionOverlay from 'common/components/SelectionOverlay'; +import { AddToBoardDropData } from 'features/dnd/types'; import { autoAddBoardIdChanged, boardIdSelected, @@ -31,7 +32,6 @@ import { useGetImageDTOQuery } from 'services/api/endpoints/images'; import { BoardDTO } from 'services/api/types'; import AutoAddIcon from '../AutoAddIcon'; import BoardContextMenu from '../BoardContextMenu'; -import { AddToBoardDropData } from 'features/dnd/types'; interface GalleryBoardProps { board: BoardDTO; @@ -49,16 +49,14 @@ const GalleryBoard = ({ () => createSelector( stateSelector, - ({ gallery, system }) => { + ({ gallery }) => { const isSelectedForAutoAdd = board.board_id === gallery.autoAddBoardId; const autoAssignBoardOnClick = gallery.autoAssignBoardOnClick; - const isProcessing = system.isProcessing; return { isSelectedForAutoAdd, autoAssignBoardOnClick, - isProcessing, }; }, defaultSelectorOptions @@ -66,7 +64,7 @@ const GalleryBoard = ({ [board.board_id] ); - const { isSelectedForAutoAdd, autoAssignBoardOnClick, isProcessing } = + const { isSelectedForAutoAdd, autoAssignBoardOnClick } = useAppSelector(selector); const [isHovered, setIsHovered] = useState(false); const handleMouseOver = useCallback(() => { @@ -96,10 +94,10 @@ const GalleryBoard = ({ const handleSelectBoard = useCallback(() => { dispatch(boardIdSelected(board_id)); - if (autoAssignBoardOnClick && !isProcessing) { + if (autoAssignBoardOnClick) { dispatch(autoAddBoardIdChanged(board_id)); } - }, [board_id, autoAssignBoardOnClick, isProcessing, dispatch]); + }, [board_id, autoAssignBoardOnClick, dispatch]); const [updateBoard, { isLoading: isUpdateBoardLoading }] = useUpdateBoardMutation(); diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx index da51a5fe39..55034decf0 100644 --- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx @@ -22,25 +22,23 @@ interface Props { const selector = createSelector( stateSelector, - ({ gallery, system }) => { + ({ gallery }) => { const { autoAddBoardId, autoAssignBoardOnClick } = gallery; - const { isProcessing } = system; - return { autoAddBoardId, autoAssignBoardOnClick, isProcessing }; + return { autoAddBoardId, autoAssignBoardOnClick }; }, defaultSelectorOptions ); const NoBoardBoard = memo(({ isSelected }: Props) => { const dispatch = useAppDispatch(); - const { autoAddBoardId, autoAssignBoardOnClick, isProcessing } = - useAppSelector(selector); + const { autoAddBoardId, autoAssignBoardOnClick } = useAppSelector(selector); const boardName = useBoardName('none'); const handleSelectBoard = useCallback(() => { dispatch(boardIdSelected('none')); - if (autoAssignBoardOnClick && !isProcessing) { + if (autoAssignBoardOnClick) { dispatch(autoAddBoardIdChanged('none')); } - }, [dispatch, autoAssignBoardOnClick, isProcessing]); + }, [dispatch, autoAssignBoardOnClick]); const [isHovered, setIsHovered] = useState(false); const handleMouseOver = useCallback(() => { diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx index f09cf131e2..f83c08c923 100644 --- a/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx @@ -53,6 +53,7 @@ const DeleteBoardModal = (props: Props) => { isCanvasImage: some(allImageUsage, (i) => i.isCanvasImage), isNodesImage: some(allImageUsage, (i) => i.isNodesImage), isControlNetImage: some(allImageUsage, (i) => i.isControlNetImage), + isIPAdapterImage: some(allImageUsage, (i) => i.isIPAdapterImage), }; return { imageUsageSummary }; }), @@ -132,8 +133,8 @@ const DeleteBoardModal = (props: Props) => { ) : ( )} Deleted boards cannot be restored. diff --git a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx index 846cf5a6f0..83b9466722 100644 --- a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx @@ -21,13 +21,14 @@ import { workflowLoadRequested } from 'features/nodes/store/actions'; import ParamUpscalePopover from 'features/parameters/components/Parameters/Upscale/ParamUpscaleSettings'; import { useRecallParameters } from 'features/parameters/hooks/useRecallParameters'; import { initialImageSelected } from 'features/parameters/store/actions'; +import { useIsQueueMutationInProgress } from 'features/queue/hooks/useIsQueueMutationInProgress'; import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus'; import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; import { setShouldShowImageDetails, setShouldShowProgressInViewer, } from 'features/ui/store/uiSlice'; -import { memo, useCallback } from 'react'; +import { memo, useCallback, useMemo } from 'react'; import { useHotkeys } from 'react-hotkeys-hook'; import { useTranslation } from 'react-i18next'; import { @@ -36,9 +37,8 @@ import { FaHourglassHalf, FaQuoteRight, FaSeedling, - FaShareAlt, } from 'react-icons/fa'; -import { MdDeviceHub } from 'react-icons/md'; +import { FaCircleNodes, FaEllipsis } from 'react-icons/fa6'; import { useGetImageDTOQuery, useGetImageMetadataFromFileQuery, @@ -49,9 +49,8 @@ import SingleSelectionMenuItems from '../ImageContextMenu/SingleSelectionMenuIte const currentImageButtonsSelector = createSelector( [stateSelector, activeTabNameSelector], - ({ gallery, system, ui }, activeTabName) => { - const { isProcessing, isConnected, shouldConfirmOnDelete, progressImage } = - system; + ({ gallery, system, ui, config }, activeTabName) => { + const { isConnected, shouldConfirmOnDelete, denoiseProgress } = system; const { shouldShowImageDetails, @@ -59,19 +58,21 @@ const currentImageButtonsSelector = createSelector( shouldShowProgressInViewer, } = ui; + const { shouldFetchMetadataFromApi } = config; + const lastSelectedImage = gallery.selection[gallery.selection.length - 1]; return { - canDeleteImage: isConnected && !isProcessing, shouldConfirmOnDelete, - isProcessing, isConnected, - shouldDisableToolbarButtons: Boolean(progressImage) || !lastSelectedImage, + shouldDisableToolbarButtons: + Boolean(denoiseProgress?.progress_image) || !lastSelectedImage, shouldShowImageDetails, activeTabName, shouldHidePreview, shouldShowProgressInViewer, lastSelectedImage, + shouldFetchMetadataFromApi, }; }, { @@ -86,16 +87,16 @@ type CurrentImageButtonsProps = FlexProps; const CurrentImageButtons = (props: CurrentImageButtonsProps) => { const dispatch = useAppDispatch(); const { - isProcessing, isConnected, shouldDisableToolbarButtons, shouldShowImageDetails, lastSelectedImage, shouldShowProgressInViewer, + shouldFetchMetadataFromApi, } = useAppSelector(currentImageButtonsSelector); const isUpscalingEnabled = useFeatureStatus('upscaling').isFeatureEnabled; - + const isQueueMutationInProgress = useIsQueueMutationInProgress(); const toaster = useAppToaster(); const { t } = useTranslation(); @@ -106,8 +107,16 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { lastSelectedImage?.image_name ?? skipToken ); + const getMetadataArg = useMemo(() => { + if (lastSelectedImage) { + return { image: lastSelectedImage, shouldFetchMetadataFromApi }; + } else { + return skipToken; + } + }, [lastSelectedImage, shouldFetchMetadataFromApi]); + const { metadata, workflow, isLoading } = useGetImageMetadataFromFileQuery( - lastSelectedImage ?? skipToken, + getMetadataArg, { selectFromResult: (res) => ({ isLoading: res.isFetching, @@ -190,19 +199,10 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { { enabled: () => Boolean( - isUpscalingEnabled && - !shouldDisableToolbarButtons && - isConnected && - !isProcessing + isUpscalingEnabled && !shouldDisableToolbarButtons && isConnected ), }, - [ - isUpscalingEnabled, - imageDTO, - shouldDisableToolbarButtons, - isConnected, - isProcessing, - ] + [isUpscalingEnabled, imageDTO, shouldDisableToolbarButtons, isConnected] ); const handleClickShowImageDetails = useCallback( @@ -254,10 +254,10 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { } + icon={} /> {imageDTO && } @@ -268,7 +268,7 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { } + icon={} tooltip={`${t('nodes.loadWorkflow')} (W)`} aria-label={`${t('nodes.loadWorkflow')} (W)`} isDisabled={!workflow} @@ -301,15 +301,12 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { {isUpscalingEnabled && ( - + {isUpscalingEnabled && } )} - + } tooltip={`${t('parameters.info')} (I)`} @@ -330,10 +327,7 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { - + diff --git a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx index 2576c8e9e3..ac2e4a2bf8 100644 --- a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx @@ -19,6 +19,7 @@ import { FaImage } from 'react-icons/fa'; import { useGetImageDTOQuery } from 'services/api/endpoints/images'; import ImageMetadataViewer from '../ImageMetadataViewer/ImageMetadataViewer'; import NextPrevImageButtons from '../NextPrevImageButtons'; +import { useTranslation } from 'react-i18next'; export const imagesSelector = createSelector( [stateSelector, selectLastSelectedImage], @@ -28,12 +29,12 @@ export const imagesSelector = createSelector( shouldHidePreview, shouldShowProgressInViewer, } = ui; - const { progressImage, shouldAntialiasProgressImage } = system; + const { denoiseProgress, shouldAntialiasProgressImage } = system; return { shouldShowImageDetails, shouldHidePreview, imageName: lastSelectedImage?.image_name, - progressImage, + denoiseProgress, shouldShowProgressInViewer, shouldAntialiasProgressImage, }; @@ -49,7 +50,7 @@ const CurrentImagePreview = () => { const { shouldShowImageDetails, imageName, - progressImage, + denoiseProgress, shouldShowProgressInViewer, shouldAntialiasProgressImage, } = useAppSelector(imagesSelector); @@ -117,6 +118,8 @@ const CurrentImagePreview = () => { const timeoutId = useRef(0); + const { t } = useTranslation(); + const handleMouseOver = useCallback(() => { setShouldShowNextPrevButtons(true); window.clearTimeout(timeoutId.current); @@ -140,11 +143,11 @@ const CurrentImagePreview = () => { position: 'relative', }} > - {progressImage && shouldShowProgressInViewer ? ( + {denoiseProgress?.progress_image && shouldShowProgressInViewer ? ( { isUploadDisabled={true} fitContainer useThumbailFallback - dropLabel="Set as Current Image" + dropLabel={t('gallery.setCurrentImage')} noContentFallback={ } diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx index bf2b344b4c..29b45761ee 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx @@ -1,4 +1,6 @@ import { MenuItem } from '@chakra-ui/react'; +import { useStore } from '@nanostores/react'; +import { $customStarUI } from 'app/store/nanostores/customStarUI'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { imagesToChangeSelected, @@ -16,6 +18,7 @@ import { const MultipleSelectionMenuItems = () => { const dispatch = useAppDispatch(); const selection = useAppSelector((state) => state.gallery.selection); + const customStarUi = useStore($customStarUI); const [starImages] = useStarImagesMutation(); const [unstarImages] = useUnstarImagesMutation(); @@ -49,15 +52,18 @@ const MultipleSelectionMenuItems = () => { <> {areAllStarred && ( } + icon={customStarUi ? customStarUi.on.icon : } onClickCapture={handleUnstarSelection} > - Unstar All + {customStarUi ? customStarUi.off.text : `Unstar All`} )} {(areAllUnstarred || (!areAllStarred && !areAllUnstarred)) && ( - } onClickCapture={handleStarSelection}> - Star All + } + onClickCapture={handleStarSelection} + > + {customStarUi ? customStarUi.on.text : `Star All`} )} } onClickCapture={handleChangeBoard}> diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx index 90272a3a86..35a4e9f18c 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx @@ -1,18 +1,22 @@ import { Flex, MenuItem, Spinner } from '@chakra-ui/react'; +import { useStore } from '@nanostores/react'; import { useAppToaster } from 'app/components/Toaster'; -import { useAppDispatch } from 'app/store/storeHooks'; +import { $customStarUI } from 'app/store/nanostores/customStarUI'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { setInitialCanvasImage } from 'features/canvas/store/canvasSlice'; import { imagesToChangeSelected, isModalOpenChanged, } from 'features/changeBoardModal/store/slice'; import { imagesToDeleteSelected } from 'features/deleteImageModal/store/slice'; +import { workflowLoadRequested } from 'features/nodes/store/actions'; import { useRecallParameters } from 'features/parameters/hooks/useRecallParameters'; import { initialImageSelected } from 'features/parameters/store/actions'; import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus'; import { useCopyImageToClipboard } from 'features/ui/hooks/useCopyImageToClipboard'; import { setActiveTab } from 'features/ui/store/uiSlice'; import { memo, useCallback } from 'react'; +import { flushSync } from 'react-dom'; import { useTranslation } from 'react-i18next'; import { FaAsterisk, @@ -25,15 +29,16 @@ import { FaShare, FaTrash, } from 'react-icons/fa'; -import { MdDeviceHub, MdStar, MdStarBorder } from 'react-icons/md'; +import { FaCircleNodes } from 'react-icons/fa6'; +import { MdStar, MdStarBorder } from 'react-icons/md'; import { useGetImageMetadataFromFileQuery, useStarImagesMutation, useUnstarImagesMutation, } from 'services/api/endpoints/images'; import { ImageDTO } from 'services/api/types'; +import { configSelector } from '../../../system/store/configSelectors'; import { sentImageToCanvas, sentImageToImg2Img } from '../../store/actions'; -import { workflowLoadRequested } from 'features/nodes/store/actions'; type SingleSelectionMenuItemsProps = { imageDTO: ImageDTO; @@ -48,9 +53,11 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => { const toaster = useAppToaster(); const isCanvasEnabled = useFeatureStatus('unifiedCanvas').isFeatureEnabled; + const { shouldFetchMetadataFromApi } = useAppSelector(configSelector); + const customStarUi = useStore($customStarUI); const { metadata, workflow, isLoading } = useGetImageMetadataFromFileQuery( - imageDTO, + { image: imageDTO, shouldFetchMetadataFromApi }, { selectFromResult: (res) => ({ isLoading: res.isFetching, @@ -110,8 +117,10 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => { const handleSendToCanvas = useCallback(() => { dispatch(sentImageToCanvas()); + flushSync(() => { + dispatch(setActiveTab('unifiedCanvas')); + }); dispatch(setInitialCanvasImage(imageDTO)); - dispatch(setActiveTab('unifiedCanvas')); toaster({ title: t('toast.sentToUnifiedCanvas'), @@ -172,7 +181,7 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => { {t('parameters.downloadImage')} : } + icon={isLoading ? : } onClickCapture={handleLoadWorkflow} isDisabled={isLoading || !workflow} > @@ -223,12 +232,18 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => { Change Board {imageDTO.starred ? ( - } onClickCapture={handleUnstarImage}> - Unstar Image + } + onClickCapture={handleUnstarImage} + > + {customStarUi ? customStarUi.off.text : `Unstar Image`} ) : ( - } onClickCapture={handleStarImage}> - Star Image + } + onClickCapture={handleStarImage} + > + {customStarUi ? customStarUi.on.text : `Star Image`} )} { const { imageName } = props; const { currentData: imageDTO } = useGetImageDTOQuery(imageName); const shift = useAppSelector((state) => state.hotkeys.shift); + const { t } = useTranslation(); const { handleClick, isSelected, selection, selectionCount } = useMultiselect(imageDTO); + const customStarUi = useStore($customStarUI); + const handleDelete = useCallback( (e: MouseEvent) => { e.stopPropagation(); @@ -89,12 +95,22 @@ const GalleryImage = (props: HoverableImageProps) => { const starIcon = useMemo(() => { if (imageDTO?.starred) { - return ; + return customStarUi ? customStarUi.on.icon : ; } if (!imageDTO?.starred && isHovered) { - return ; + return customStarUi ? customStarUi.off.icon : ; } - }, [imageDTO?.starred, isHovered]); + }, [imageDTO?.starred, isHovered, customStarUi]); + + const starTooltip = useMemo(() => { + if (imageDTO?.starred) { + return customStarUi ? customStarUi.off.text : 'Unstar'; + } + if (!imageDTO?.starred) { + return customStarUi ? customStarUi.on.text : 'Star'; + } + return ''; + }, [imageDTO?.starred, customStarUi]); if (!imageDTO) { return ; @@ -129,14 +145,14 @@ const GalleryImage = (props: HoverableImageProps) => { {isHovered && shift && ( } - tooltip="Delete" + tooltip={t('gallery.deleteImage')} styleOverrides={{ bottom: 2, top: 'auto', diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx index bacd5c38ad..dc41a2ef2a 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx @@ -95,7 +95,7 @@ const GalleryImageGrid = () => { justifyContent: 'center', }} > - + ); } @@ -140,7 +140,7 @@ const GalleryImageGrid = () => { onClick={handleLoadMoreImages} isDisabled={!areMoreAvailable} isLoading={isFetching} - loadingText="Loading" + loadingText={t('gallery.loading')} flexShrink={0} > {`Load More (${currentData.ids.length} of ${currentViewTotal})`} @@ -153,7 +153,7 @@ const GalleryImageGrid = () => { return ( diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/DataViewer.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/DataViewer.tsx index 2267bf15c2..ed7df88e3a 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/DataViewer.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/DataViewer.tsx @@ -3,6 +3,7 @@ import { isString } from 'lodash-es'; import { OverlayScrollbarsComponent } from 'overlayscrollbars-react'; import { memo, useCallback, useMemo } from 'react'; import { FaCopy, FaDownload } from 'react-icons/fa'; +import { useTranslation } from 'react-i18next'; type Props = { label: string; @@ -33,6 +34,8 @@ const DataViewer = (props: Props) => { a.remove(); }, [dataString, label, fileName]); + const { t } = useTranslation(); + return ( { {withDownload && ( - + } variant="ghost" opacity={0.7} @@ -84,9 +87,9 @@ const DataViewer = (props: Props) => { )} {withCopy && ( - + } variant="ghost" opacity={0.7} diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx index e82b03360e..955e8a5a3a 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx @@ -1,6 +1,8 @@ -import { CoreMetadata } from 'features/nodes/types/types'; +import { CoreMetadata, LoRAMetadataItem } from 'features/nodes/types/types'; import { useRecallParameters } from 'features/parameters/hooks/useRecallParameters'; import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; +import { isValidLoRAModel } from '../../../parameters/types/parameterSchemas'; import ImageMetadataItem from './ImageMetadataItem'; type Props = { @@ -10,6 +12,8 @@ type Props = { const ImageMetadataActions = (props: Props) => { const { metadata } = props; + const { t } = useTranslation(); + const { recallPositivePrompt, recallNegativePrompt, @@ -21,6 +25,7 @@ const ImageMetadataActions = (props: Props) => { recallWidth, recallHeight, recallStrength, + recallLoRA, } = useRecallParameters(); const handleRecallPositivePrompt = useCallback(() => { @@ -63,6 +68,13 @@ const ImageMetadataActions = (props: Props) => { recallStrength(metadata?.strength); }, [metadata?.strength, recallStrength]); + const handleRecallLoRA = useCallback( + (lora: LoRAMetadataItem) => { + recallLoRA(lora); + }, + [recallLoRA] + ); + if (!metadata || Object.keys(metadata).length === 0) { return null; } @@ -70,17 +82,20 @@ const ImageMetadataActions = (props: Props) => { return ( <> {metadata.created_by && ( - + )} {metadata.generation_mode && ( )} {metadata.positive_prompt && ( { )} {metadata.negative_prompt && ( { )} {metadata.seed !== undefined && metadata.seed !== null && ( @@ -105,108 +120,66 @@ const ImageMetadataActions = (props: Props) => { metadata.model !== null && metadata.model.model_name && ( )} {metadata.width && ( )} {metadata.height && ( )} - {/* {metadata.threshold !== undefined && ( - dispatch(setThreshold(Number(metadata.threshold)))} - /> - )} - {metadata.perlin !== undefined && ( - dispatch(setPerlin(Number(metadata.perlin)))} - /> - )} */} {metadata.scheduler && ( )} {metadata.steps && ( )} {metadata.cfg_scale !== undefined && metadata.cfg_scale !== null && ( )} - {/* {metadata.variations && metadata.variations.length > 0 && ( - - dispatch( - setSeedWeights(seedWeightsToString(metadata.variations)) - ) - } - /> - )} - {metadata.seamless && ( - dispatch(setSeamless(metadata.seamless))} - /> - )} - {metadata.hires_fix && ( - dispatch(setHiresFix(metadata.hires_fix))} - /> - )} */} - - {/* {init_image_path && ( - dispatch(setInitialImage(init_image_path))} - /> - )} */} {metadata.strength && ( )} - {/* {metadata.fit && ( - dispatch(setShouldFitToWidthHeight(metadata.fit))} - /> - )} */} + {metadata.loras && + metadata.loras.map((lora, index) => { + if (isValidLoRAModel(lora.lora)) { + return ( + handleRecallLoRA(lora)} + /> + ); + } + })} ); }; diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx index ca3eab2dba..8c7e69b2b1 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx @@ -15,6 +15,9 @@ import { useGetImageMetadataFromFileQuery } from 'services/api/endpoints/images' import { ImageDTO } from 'services/api/types'; import DataViewer from './DataViewer'; import ImageMetadataActions from './ImageMetadataActions'; +import { useAppSelector } from '../../../../app/store/storeHooks'; +import { configSelector } from '../../../system/store/configSelectors'; +import { useTranslation } from 'react-i18next'; type ImageMetadataViewerProps = { image: ImageDTO; @@ -26,13 +29,19 @@ const ImageMetadataViewer = ({ image }: ImageMetadataViewerProps) => { // useHotkeys('esc', () => { // dispatch(setShouldShowImageDetails(false)); // }); + const { t } = useTranslation(); - const { metadata, workflow } = useGetImageMetadataFromFileQuery(image, { - selectFromResult: (res) => ({ - metadata: res?.currentData?.metadata, - workflow: res?.currentData?.workflow, - }), - }); + const { shouldFetchMetadataFromApi } = useAppSelector(configSelector); + + const { metadata, workflow } = useGetImageMetadataFromFileQuery( + { image, shouldFetchMetadataFromApi }, + { + selectFromResult: (res) => ({ + metadata: res?.currentData?.metadata, + workflow: res?.currentData?.workflow, + }), + } + ); return ( { sx={{ display: 'flex', flexDir: 'column', w: 'full', h: 'full' }} > - Metadata - Image Details - Workflow + {t('metadata.metadata')} + {t('metadata.imageDetails')} + {t('metadata.workflow')} {metadata ? ( - + ) : ( - + )} {image ? ( - + ) : ( - + )} {workflow ? ( - + ) : ( - + )} diff --git a/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx b/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx index 3432838ec0..7338caec22 100644 --- a/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx +++ b/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx @@ -10,6 +10,7 @@ import { loraWeightChanged, loraWeightReset, } from '../store/loraSlice'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; type Props = { lora: LoRA; @@ -35,30 +36,32 @@ const ParamLora = (props: Props) => { }, [dispatch, lora.id]); return ( - - - } - colorScheme="error" - /> - + + + + } + colorScheme="error" + /> + + ); }; diff --git a/invokeai/frontend/web/src/features/lora/store/loraSlice.ts b/invokeai/frontend/web/src/features/lora/store/loraSlice.ts index 10a1671933..bbe019b1c3 100644 --- a/invokeai/frontend/web/src/features/lora/store/loraSlice.ts +++ b/invokeai/frontend/web/src/features/lora/store/loraSlice.ts @@ -27,6 +27,13 @@ export const loraSlice = createSlice({ const { model_name, id, base_model } = action.payload; state.loras[id] = { id, model_name, base_model, ...defaultLoRAConfig }; }, + loraRecalled: ( + state, + action: PayloadAction + ) => { + const { model_name, id, base_model, weight } = action.payload; + state.loras[id] = { id, model_name, base_model, weight }; + }, loraRemoved: (state, action: PayloadAction) => { const id = action.payload; delete state.loras[id]; @@ -62,6 +69,7 @@ export const { loraWeightChanged, loraWeightReset, lorasCleared, + loraRecalled, } = loraSlice.actions; export default loraSlice.reducer; diff --git a/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx b/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx index 4cefdbb20b..3675dd9af9 100644 --- a/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx @@ -12,9 +12,11 @@ import TopCenterPanel from './flow/panels/TopCenterPanel/TopCenterPanel'; import TopRightPanel from './flow/panels/TopRightPanel/TopRightPanel'; import BottomLeftPanel from './flow/panels/BottomLeftPanel/BottomLeftPanel'; import MinimapPanel from './flow/panels/MinimapPanel/MinimapPanel'; +import { useTranslation } from 'react-i18next'; const NodeEditor = () => { const isReady = useAppSelector((state) => state.nodes.isReady); + const { t } = useTranslation(); return ( { }} > diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/AddNodePopover/AddNodePopover.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/AddNodePopover/AddNodePopover.tsx index 83f7482177..9ab413a98f 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/AddNodePopover/AddNodePopover.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/AddNodePopover/AddNodePopover.tsx @@ -24,6 +24,7 @@ import { HotkeyCallback } from 'react-hotkeys-hook/dist/types'; import 'reactflow/dist/style.css'; import { AnyInvocationType } from 'services/events/types'; import { AddNodePopoverSelectItem } from './AddNodePopoverSelectItem'; +import { useTranslation } from 'react-i18next'; type NodeTemplate = { label: string; @@ -48,43 +49,45 @@ const filter = (value: string, item: NodeTemplate) => { ); }; -const selector = createSelector( - [stateSelector], - ({ nodes }) => { - const data: NodeTemplate[] = map(nodes.nodeTemplates, (template) => { - return { - label: template.title, - value: template.type, - description: template.description, - tags: template.tags, - }; - }); - - data.push({ - label: 'Progress Image', - value: 'current_image', - description: 'Displays the current image in the Node Editor', - tags: ['progress'], - }); - - data.push({ - label: 'Notes', - value: 'notes', - description: 'Add notes about your workflow', - tags: ['notes'], - }); - - data.sort((a, b) => a.label.localeCompare(b.label)); - - return { data }; - }, - defaultSelectorOptions -); - const AddNodePopover = () => { const dispatch = useAppDispatch(); const buildInvocation = useBuildNodeData(); const toaster = useAppToaster(); + const { t } = useTranslation(); + + const selector = createSelector( + [stateSelector], + ({ nodes }) => { + const data: NodeTemplate[] = map(nodes.nodeTemplates, (template) => { + return { + label: template.title, + value: template.type, + description: template.description, + tags: template.tags, + }; + }); + + data.push({ + label: t('nodes.currentImage'), + value: 'current_image', + description: t('nodes.currentImageDescription'), + tags: ['progress'], + }); + + data.push({ + label: t('nodes.notes'), + value: 'notes', + description: t('nodes.notesDescription'), + tags: ['notes'], + }); + + data.sort((a, b) => a.label.localeCompare(b.label)); + + return { data, t }; + }, + defaultSelectorOptions + ); + const { data } = useAppSelector(selector); const isOpen = useAppSelector((state) => state.nodes.isAddNodePopoverOpen); const inputRef = useRef(null); @@ -92,18 +95,20 @@ const AddNodePopover = () => { const addNode = useCallback( (nodeType: AnyInvocationType) => { const invocation = buildInvocation(nodeType); - if (!invocation) { + const errorMessage = t('nodes.unknownNode', { + nodeType: nodeType, + }); toaster({ status: 'error', - title: `Unknown Invocation type ${nodeType}`, + title: errorMessage, }); return; } dispatch(nodeAdded(invocation)); }, - [dispatch, buildInvocation, toaster] + [dispatch, buildInvocation, toaster, t] ); const handleChange = useCallback( @@ -179,11 +184,11 @@ const AddNodePopover = () => { { const edges = useAppSelector((state) => state.nodes.edges); const viewport = useAppSelector((state) => state.nodes.viewport); const { shouldSnapToGrid, selectionMode } = useAppSelector(selector); - + const flowWrapper = useRef(null); + const cursorPosition = useRef(); const isValidConnection = useIsValidConnection(); const [borderRadius] = useToken('radii', ['base']); @@ -154,6 +156,17 @@ export const Flow = () => { flow.fitView(); }, []); + const onMouseMove = useCallback((event: MouseEvent) => { + const bounds = flowWrapper.current?.getBoundingClientRect(); + if (bounds) { + const pos = $flow.get()?.project({ + x: event.clientX - bounds.left, + y: event.clientY - bounds.top, + }); + cursorPosition.current = pos; + } + }, []); + useHotkeys(['Ctrl+c', 'Meta+c'], (e) => { e.preventDefault(); dispatch(selectionCopied()); @@ -166,18 +179,20 @@ export const Flow = () => { useHotkeys(['Ctrl+v', 'Meta+v'], (e) => { e.preventDefault(); - dispatch(selectionPasted()); + dispatch(selectionPasted({ cursorPosition: cursorPosition.current })); }); return ( { return { imageDTO, - progressImage: system.progressImage, + progressImage: system.denoiseProgress?.progress_image, }; }); diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/EmbedWorkflowCheckbox.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/EmbedWorkflowCheckbox.tsx index 6542713942..447dfcbd97 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/EmbedWorkflowCheckbox.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/EmbedWorkflowCheckbox.tsx @@ -27,7 +27,7 @@ const EmbedWorkflowCheckbox = ({ nodeId }: { nodeId: string }) => { return ( - Embed Workflow + Workflow { const inputConnectionFieldNames = useConnectionInputFieldNames(nodeId); const inputAnyOrDirectFieldNames = useAnyOrDirectInputFieldNames(nodeId); const outputFieldNames = useOutputFieldNames(nodeId); - const withFooter = useWithFooter(nodeId); return ( @@ -43,7 +41,7 @@ const InvocationNode = ({ nodeId, isOpen, label, type, selected }: Props) => { h: 'full', py: 2, gap: 1, - borderBottomRadius: withFooter ? 0 : 'base', + borderBottomRadius: 0, }} > @@ -76,7 +74,7 @@ const InvocationNode = ({ nodeId, isOpen, label, type, selected }: Props) => { ))} - {withFooter && } + )} diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeFooter.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeFooter.tsx index 320b56b057..ba1f7977ab 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeFooter.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeFooter.tsx @@ -3,12 +3,15 @@ import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants'; import { memo } from 'react'; import EmbedWorkflowCheckbox from './EmbedWorkflowCheckbox'; import SaveToGalleryCheckbox from './SaveToGalleryCheckbox'; +import UseCacheCheckbox from './UseCacheCheckbox'; +import { useHasImageOutput } from 'features/nodes/hooks/useHasImageOutput'; type Props = { nodeId: string; }; const InvocationNodeFooter = ({ nodeId }: Props) => { + const hasImageOutput = useHasImageOutput(nodeId); return ( { justifyContent: 'space-between', }} > - - + + {hasImageOutput && } + {hasImageOutput && } ); }; diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeNotes.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeNotes.tsx index 143785ecfe..8a96fb4230 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeNotes.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeNotes.tsx @@ -22,6 +22,7 @@ import { memo, useMemo } from 'react'; import { FaInfoCircle } from 'react-icons/fa'; import NotesTextarea from './NotesTextarea'; import { useDoNodeVersionsMatch } from 'features/nodes/hooks/useDoNodeVersionsMatch'; +import { useTranslation } from 'react-i18next'; interface Props { nodeId: string; @@ -32,6 +33,7 @@ const InvocationNodeNotes = ({ nodeId }: Props) => { const label = useNodeLabel(nodeId); const title = useNodeTemplateTitle(nodeId); const doVersionsMatch = useDoNodeVersionsMatch(nodeId); + const { t } = useTranslation(); return ( <> @@ -65,7 +67,7 @@ const InvocationNodeNotes = ({ nodeId }: Props) => { - {label || title || 'Unknown Node'} + {label || title || t('nodes.unknownNode')} @@ -82,6 +84,7 @@ export default memo(InvocationNodeNotes); const TooltipContent = memo(({ nodeId }: { nodeId: string }) => { const data = useNodeData(nodeId); const nodeTemplate = useNodeTemplate(nodeId); + const { t } = useTranslation(); const title = useMemo(() => { if (data?.label && nodeTemplate?.title) { @@ -96,8 +99,8 @@ const TooltipContent = memo(({ nodeId }: { nodeId: string }) => { return nodeTemplate.title; } - return 'Unknown Node'; - }, [data, nodeTemplate]); + return t('nodes.unknownNode'); + }, [data, nodeTemplate, t]); const versionComponent = useMemo(() => { if (!isInvocationNodeData(data) || !nodeTemplate) { @@ -107,7 +110,7 @@ const TooltipContent = memo(({ nodeId }: { nodeId: string }) => { if (!data.version) { return ( - Version unknown + {t('nodes.versionUnknown')} ); } @@ -115,7 +118,7 @@ const TooltipContent = memo(({ nodeId }: { nodeId: string }) => { if (!nodeTemplate.version) { return ( - Version {data.version} (unknown template) + {t('nodes.version')} {data.version} ({t('nodes.unknownTemplate')}) ); } @@ -123,7 +126,7 @@ const TooltipContent = memo(({ nodeId }: { nodeId: string }) => { if (compare(data.version, nodeTemplate.version, '<')) { return ( - Version {data.version} (update node) + {t('nodes.version')} {data.version} ({t('nodes.updateNode')}) ); } @@ -131,16 +134,20 @@ const TooltipContent = memo(({ nodeId }: { nodeId: string }) => { if (compare(data.version, nodeTemplate.version, '>')) { return ( - Version {data.version} (update app) + {t('nodes.version')} {data.version} ({t('nodes.updateApp')}) ); } - return Version {data.version}; - }, [data, nodeTemplate]); + return ( + + {t('nodes.version')} {data.version} + + ); + }, [data, nodeTemplate, t]); if (!isInvocationNodeData(data)) { - return Unknown Node; + return {t('nodes.unknownNode')}; } return ( diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeStatusIndicator.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeStatusIndicator.tsx index 6e1da90ad8..28f6e08a4e 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeStatusIndicator.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeStatusIndicator.tsx @@ -14,6 +14,7 @@ import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants'; import { NodeExecutionState, NodeStatus } from 'features/nodes/types/types'; import { memo, useMemo } from 'react'; import { FaCheck, FaEllipsisH, FaExclamation } from 'react-icons/fa'; +import { useTranslation } from 'react-i18next'; type Props = { nodeId: string; @@ -72,10 +73,10 @@ type TooltipLabelProps = { const TooltipLabel = memo(({ nodeExecutionState }: TooltipLabelProps) => { const { status, progress, progressImage } = nodeExecutionState; + const { t } = useTranslation(); if (status === NodeStatus.PENDING) { return Pending; } - if (status === NodeStatus.IN_PROGRESS) { if (progressImage) { return ( @@ -97,18 +98,22 @@ const TooltipLabel = memo(({ nodeExecutionState }: TooltipLabelProps) => { } if (progress !== null) { - return In Progress ({Math.round(progress * 100)}%); + return ( + + {t('nodes.executionStateInProgress')} ({Math.round(progress * 100)}%) + + ); } - return In Progress; + return {t('nodes.executionStateInProgress')}; } if (status === NodeStatus.COMPLETED) { - return Completed; + return {t('nodes.executionStateCompleted')}; } if (status === NodeStatus.FAILED) { - return nodeExecutionState.error; + return {t('nodes.executionStateError')}; } return null; diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/NotesTextarea.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/NotesTextarea.tsx index 68967096f9..5e85f5ba3c 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/NotesTextarea.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/NotesTextarea.tsx @@ -5,10 +5,12 @@ import { useNodeData } from 'features/nodes/hooks/useNodeData'; import { nodeNotesChanged } from 'features/nodes/store/nodesSlice'; import { isInvocationNodeData } from 'features/nodes/types/types'; import { ChangeEvent, memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; const NotesTextarea = ({ nodeId }: { nodeId: string }) => { const dispatch = useAppDispatch(); const data = useNodeData(nodeId); + const { t } = useTranslation(); const handleNotesChanged = useCallback( (e: ChangeEvent) => { dispatch(nodeNotesChanged({ nodeId, notes: e.target.value })); @@ -20,7 +22,7 @@ const NotesTextarea = ({ nodeId }: { nodeId: string }) => { } return ( - Notes + {t('nodes.notes')} { + const dispatch = useAppDispatch(); + const useCache = useUseCache(nodeId); + const handleChange = useCallback( + (e: ChangeEvent) => { + dispatch( + nodeUseCacheChanged({ + nodeId, + useCache: e.target.checked, + }) + ); + }, + [dispatch, nodeId] + ); + + return ( + + Use Cache + + + ); +}; + +export default memo(UseCacheCheckbox); diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/EditableFieldTitle.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/EditableFieldTitle.tsx index 2dbeeb2d9b..8e5c8f4e48 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/EditableFieldTitle.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/EditableFieldTitle.tsx @@ -14,6 +14,7 @@ import { fieldLabelChanged } from 'features/nodes/store/nodesSlice'; import { MouseEvent, memo, useCallback, useEffect, useState } from 'react'; import FieldTooltipContent from './FieldTooltipContent'; import { HANDLE_TOOLTIP_OPEN_DELAY } from 'features/nodes/types/constants'; +import { useTranslation } from 'react-i18next'; interface Props { nodeId: string; @@ -33,10 +34,11 @@ const EditableFieldTitle = forwardRef((props: Props, ref) => { } = props; const label = useFieldLabel(nodeId, fieldName); const fieldTemplateTitle = useFieldTemplateTitle(nodeId, fieldName, kind); + const { t } = useTranslation(); const dispatch = useAppDispatch(); const [localTitle, setLocalTitle] = useState( - label || fieldTemplateTitle || 'Unknown Field' + label || fieldTemplateTitle || t('nodes.unknownField') ); const handleSubmit = useCallback( @@ -44,10 +46,10 @@ const EditableFieldTitle = forwardRef((props: Props, ref) => { if (newTitle && (newTitle === label || newTitle === fieldTemplateTitle)) { return; } - setLocalTitle(newTitle || fieldTemplateTitle || 'Unknown Field'); + setLocalTitle(newTitle || fieldTemplateTitle || t('nodes.unknownField')); dispatch(fieldLabelChanged({ nodeId, fieldName, label: newTitle })); }, - [label, fieldTemplateTitle, dispatch, nodeId, fieldName] + [label, fieldTemplateTitle, dispatch, nodeId, fieldName, t] ); const handleChange = useCallback((newTitle: string) => { @@ -56,8 +58,8 @@ const EditableFieldTitle = forwardRef((props: Props, ref) => { useEffect(() => { // Another component may change the title; sync local title with global state - setLocalTitle(label || fieldTemplateTitle || 'Unknown Field'); - }, [label, fieldTemplateTitle]); + setLocalTitle(label || fieldTemplateTitle || t('nodes.unknownField')); + }, [label, fieldTemplateTitle, t]); return ( { const label = useFieldLabel(nodeId, fieldName); const fieldTemplateTitle = useFieldTemplateTitle(nodeId, fieldName, kind); const input = useFieldInputKind(nodeId, fieldName); + const { t } = useTranslation(); const skipEvent = useCallback((e: MouseEvent) => { e.preventDefault(); @@ -119,7 +121,9 @@ const FieldContextMenu = ({ nodeId, fieldName, kind, children }: Props) => { motionProps={menuListMotionProps} onContextMenu={skipEvent} > - + {menuItems} diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/FieldTooltipContent.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/FieldTooltipContent.tsx index 1a47e81aa3..be66214a59 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/FieldTooltipContent.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/FieldTooltipContent.tsx @@ -8,6 +8,7 @@ import { } from 'features/nodes/types/types'; import { startCase } from 'lodash-es'; import { memo, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; interface Props { nodeId: string; @@ -19,6 +20,7 @@ const FieldTooltipContent = ({ nodeId, fieldName, kind }: Props) => { const field = useFieldData(nodeId, fieldName); const fieldTemplate = useFieldTemplate(nodeId, fieldName, kind); const isInputTemplate = isInputFieldTemplate(fieldTemplate); + const { t } = useTranslation(); const fieldTitle = useMemo(() => { if (isInputFieldValue(field)) { if (field.label && fieldTemplate?.title) { @@ -33,11 +35,11 @@ const FieldTooltipContent = ({ nodeId, fieldName, kind }: Props) => { return fieldTemplate.title; } - return 'Unknown Field'; + return t('nodes.unknownField'); } else { - return fieldTemplate?.title || 'Unknown Field'; + return fieldTemplate?.title || t('nodes.unknownField'); } - }, [field, fieldTemplate]); + }, [field, fieldTemplate, t]); return ( diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx index fa5c4533c2..5dc1305900 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx @@ -15,6 +15,8 @@ import SDXLMainModelInputField from './inputs/SDXLMainModelInputField'; import SchedulerInputField from './inputs/SchedulerInputField'; import StringInputField from './inputs/StringInputField'; import VaeModelInputField from './inputs/VaeModelInputField'; +import IPAdapterModelInputField from './inputs/IPAdapterModelInputField'; +import BoardInputField from './inputs/BoardInputField'; type InputFieldProps = { nodeId: string; @@ -29,7 +31,11 @@ const InputFieldRenderer = ({ nodeId, fieldName }: InputFieldProps) => { return Output field in input: {field?.type}; } - if (field?.type === 'string' && fieldTemplate?.type === 'string') { + if ( + (field?.type === 'string' && fieldTemplate?.type === 'string') || + (field?.type === 'StringPolymorphic' && + fieldTemplate?.type === 'StringPolymorphic') + ) { return ( { ); } - if (field?.type === 'boolean' && fieldTemplate?.type === 'boolean') { + if ( + (field?.type === 'boolean' && fieldTemplate?.type === 'boolean') || + (field?.type === 'BooleanPolymorphic' && + fieldTemplate?.type === 'BooleanPolymorphic') + ) { return ( { if ( (field?.type === 'integer' && fieldTemplate?.type === 'integer') || - (field?.type === 'float' && fieldTemplate?.type === 'float') + (field?.type === 'float' && fieldTemplate?.type === 'float') || + (field?.type === 'FloatPolymorphic' && + fieldTemplate?.type === 'FloatPolymorphic') || + (field?.type === 'IntegerPolymorphic' && + fieldTemplate?.type === 'IntegerPolymorphic') ) { return ( { ); } - if (field?.type === 'ImageField' && fieldTemplate?.type === 'ImageField') { + if ( + (field?.type === 'ImageField' && fieldTemplate?.type === 'ImageField') || + (field?.type === 'ImagePolymorphic' && + fieldTemplate?.type === 'ImagePolymorphic') + ) { return ( { ); } + if (field?.type === 'BoardField' && fieldTemplate?.type === 'BoardField') { + return ( + + ); + } + if ( field?.type === 'MainModelField' && fieldTemplate?.type === 'MainModelField' @@ -147,6 +175,19 @@ const InputFieldRenderer = ({ nodeId, fieldName }: InputFieldProps) => { ); } + if ( + field?.type === 'IPAdapterModelField' && + fieldTemplate?.type === 'IPAdapterModelField' + ) { + return ( + + ); + } + if (field?.type === 'ColorField' && fieldTemplate?.type === 'ColorField') { return ( { const dispatch = useAppDispatch(); const { isMouseOverNode, handleMouseOut, handleMouseOver } = useMouseOverNode(nodeId); - + const { t } = useTranslation(); const handleRemoveField = useCallback(() => { dispatch(workflowExposedFieldRemoved({ nodeId, fieldName })); }, [dispatch, fieldName, nodeId]); @@ -75,8 +76,8 @@ const LinearViewField = ({ nodeId, fieldName }: Props) => { +) => { + const { nodeId, field } = props; + const dispatch = useAppDispatch(); + + const { data, hasBoards } = useListAllBoardsQuery(undefined, { + selectFromResult: ({ data }) => { + const boards: SelectItem[] = [ + { + label: 'None', + value: 'none', + }, + ]; + data?.forEach(({ board_id, board_name }) => { + boards.push({ + label: board_name, + value: board_id, + }); + }); + return { + data: boards, + hasBoards: boards.length > 1, + }; + }, + }); + + const handleChange = useCallback( + (v: string | null) => { + dispatch( + fieldBoardValueChanged({ + nodeId, + fieldName: field.name, + value: v && v !== 'none' ? { board_id: v } : undefined, + }) + ); + }, + [dispatch, field.name, nodeId] + ); + + return ( + + ); +}; + +export default memo(BoardInputFieldComponent); diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/BooleanInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/BooleanInputField.tsx index c9f83403f6..d14756dbdb 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/BooleanInputField.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/BooleanInputField.tsx @@ -4,12 +4,17 @@ import { fieldBooleanValueChanged } from 'features/nodes/store/nodesSlice'; import { BooleanInputFieldTemplate, BooleanInputFieldValue, + BooleanPolymorphicInputFieldTemplate, + BooleanPolymorphicInputFieldValue, FieldComponentProps, } from 'features/nodes/types/types'; import { ChangeEvent, memo, useCallback } from 'react'; const BooleanInputFieldComponent = ( - props: FieldComponentProps + props: FieldComponentProps< + BooleanInputFieldValue | BooleanPolymorphicInputFieldValue, + BooleanInputFieldTemplate | BooleanPolymorphicInputFieldTemplate + > ) => { const { nodeId, field } = props; diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/EnumInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/EnumInputField.tsx index 84ecf4842e..277020d847 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/EnumInputField.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/EnumInputField.tsx @@ -35,7 +35,11 @@ const EnumInputFieldComponent = ( value={field.value} > {fieldTemplate.options.map((option) => ( - + ))} ); diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/IPAdapterInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/IPAdapterInputField.tsx new file mode 100644 index 0000000000..5d5567e515 --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/IPAdapterInputField.tsx @@ -0,0 +1,17 @@ +import { + IPAdapterInputFieldTemplate, + IPAdapterInputFieldValue, + FieldComponentProps, +} from 'features/nodes/types/types'; +import { memo } from 'react'; + +const IPAdapterInputFieldComponent = ( + _props: FieldComponentProps< + IPAdapterInputFieldValue, + IPAdapterInputFieldTemplate + > +) => { + return null; +}; + +export default memo(IPAdapterInputFieldComponent); diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/IPAdapterModelInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/IPAdapterModelInputField.tsx new file mode 100644 index 0000000000..637fa79f60 --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/IPAdapterModelInputField.tsx @@ -0,0 +1,100 @@ +import { SelectItem } from '@mantine/core'; +import { useAppDispatch } from 'app/store/storeHooks'; +import IAIMantineSelect from 'common/components/IAIMantineSelect'; +import { fieldIPAdapterModelValueChanged } from 'features/nodes/store/nodesSlice'; +import { + IPAdapterModelInputFieldTemplate, + IPAdapterModelInputFieldValue, + FieldComponentProps, +} from 'features/nodes/types/types'; +import { MODEL_TYPE_MAP } from 'features/parameters/types/constants'; +import { modelIdToIPAdapterModelParam } from 'features/parameters/util/modelIdToIPAdapterModelParams'; +import { forEach } from 'lodash-es'; +import { memo, useCallback, useMemo } from 'react'; +import { useGetIPAdapterModelsQuery } from 'services/api/endpoints/models'; + +const IPAdapterModelInputFieldComponent = ( + props: FieldComponentProps< + IPAdapterModelInputFieldValue, + IPAdapterModelInputFieldTemplate + > +) => { + const { nodeId, field } = props; + const ipAdapterModel = field.value; + const dispatch = useAppDispatch(); + + const { data: ipAdapterModels } = useGetIPAdapterModelsQuery(); + + // grab the full model entity from the RTK Query cache + const selectedModel = useMemo( + () => + ipAdapterModels?.entities[ + `${ipAdapterModel?.base_model}/ip_adapter/${ipAdapterModel?.model_name}` + ] ?? null, + [ + ipAdapterModel?.base_model, + ipAdapterModel?.model_name, + ipAdapterModels?.entities, + ] + ); + + const data = useMemo(() => { + if (!ipAdapterModels) { + return []; + } + + const data: SelectItem[] = []; + + forEach(ipAdapterModels.entities, (model, id) => { + if (!model) { + return; + } + + data.push({ + value: id, + label: model.model_name, + group: MODEL_TYPE_MAP[model.base_model], + }); + }); + + return data; + }, [ipAdapterModels]); + + const handleValueChanged = useCallback( + (v: string | null) => { + if (!v) { + return; + } + + const newIPAdapterModel = modelIdToIPAdapterModelParam(v); + + if (!newIPAdapterModel) { + return; + } + + dispatch( + fieldIPAdapterModelValueChanged({ + nodeId, + fieldName: field.name, + value: newIPAdapterModel, + }) + ); + }, + [dispatch, field.name, nodeId] + ); + + return ( + + ); +}; + +export default memo(IPAdapterModelInputFieldComponent); diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/ImageInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/ImageInputField.tsx index 7f96675792..6099593c2a 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/ImageInputField.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/ImageInputField.tsx @@ -12,6 +12,8 @@ import { FieldComponentProps, ImageInputFieldTemplate, ImageInputFieldValue, + ImagePolymorphicInputFieldTemplate, + ImagePolymorphicInputFieldValue, } from 'features/nodes/types/types'; import { memo, useCallback, useMemo } from 'react'; import { FaUndo } from 'react-icons/fa'; @@ -19,7 +21,10 @@ import { useGetImageDTOQuery } from 'services/api/endpoints/images'; import { PostUploadAction } from 'services/api/types'; const ImageInputFieldComponent = ( - props: FieldComponentProps + props: FieldComponentProps< + ImageInputFieldValue | ImagePolymorphicInputFieldValue, + ImageInputFieldTemplate | ImagePolymorphicInputFieldTemplate + > ) => { const { nodeId, field } = props; const dispatch = useAppDispatch(); diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/LoRAModelInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/LoRAModelInputField.tsx index 7f8f179add..3ca87b3e85 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/LoRAModelInputField.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/LoRAModelInputField.tsx @@ -14,6 +14,7 @@ import { modelIdToLoRAModelParam } from 'features/parameters/util/modelIdToLoRAM import { forEach } from 'lodash-es'; import { memo, useCallback, useMemo } from 'react'; import { useGetLoRAModelsQuery } from 'services/api/endpoints/models'; +import { useTranslation } from 'react-i18next'; const LoRAModelInputFieldComponent = ( props: FieldComponentProps< @@ -25,6 +26,7 @@ const LoRAModelInputFieldComponent = ( const lora = field.value; const dispatch = useAppDispatch(); const { data: loraModels } = useGetLoRAModelsQuery(); + const { t } = useTranslation(); const data = useMemo(() => { if (!loraModels) { @@ -92,9 +94,11 @@ const LoRAModelInputFieldComponent = ( 0 ? 'Select a LoRA' : 'No LoRAs available'} + placeholder={ + data.length > 0 ? t('models.selectLoRA') : t('models.noLoRAsAvailable') + } data={data} - nothingFound="No matching LoRAs" + nothingFound={t('models.noMatchingLoRAs')} itemComponent={IAIMantineSelectItemWithTooltip} disabled={data.length === 0} filter={(value, item: SelectItem) => diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/MainModelInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/MainModelInputField.tsx index f89177576c..08483986e3 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/MainModelInputField.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/MainModelInputField.tsx @@ -19,6 +19,7 @@ import { useGetMainModelsQuery, useGetOnnxModelsQuery, } from 'services/api/endpoints/models'; +import { useTranslation } from 'react-i18next'; const MainModelInputFieldComponent = ( props: FieldComponentProps< @@ -29,7 +30,7 @@ const MainModelInputFieldComponent = ( const { nodeId, field } = props; const dispatch = useAppDispatch(); const isSyncModelEnabled = useFeatureStatus('syncModels').isFeatureEnabled; - + const { t } = useTranslation(); const { data: onnxModels, isLoading: isLoadingOnnxModels } = useGetOnnxModelsQuery(NON_SDXL_MAIN_MODELS); const { data: mainModels, isLoading: isLoadingMainModels } = @@ -127,7 +128,9 @@ const MainModelInputFieldComponent = ( tooltip={selectedModel?.description} value={selectedModel?.id} placeholder={ - data.length > 0 ? 'Select a model' : 'No models available' + data.length > 0 + ? t('models.selectModel') + : t('models.noModelsAvailable') } data={data} error={!selectedModel} diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/NumberInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/NumberInputField.tsx index 61387d751b..2afbec1df8 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/NumberInputField.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/NumberInputField.tsx @@ -12,15 +12,25 @@ import { FieldComponentProps, FloatInputFieldTemplate, FloatInputFieldValue, + FloatPolymorphicInputFieldTemplate, + FloatPolymorphicInputFieldValue, IntegerInputFieldTemplate, IntegerInputFieldValue, + IntegerPolymorphicInputFieldTemplate, + IntegerPolymorphicInputFieldValue, } from 'features/nodes/types/types'; import { memo, useEffect, useMemo, useState } from 'react'; const NumberInputFieldComponent = ( props: FieldComponentProps< - IntegerInputFieldValue | FloatInputFieldValue, - IntegerInputFieldTemplate | FloatInputFieldTemplate + | IntegerInputFieldValue + | IntegerPolymorphicInputFieldValue + | FloatInputFieldValue + | FloatPolymorphicInputFieldValue, + | IntegerInputFieldTemplate + | IntegerPolymorphicInputFieldTemplate + | FloatInputFieldTemplate + | FloatPolymorphicInputFieldTemplate > ) => { const { nodeId, field, fieldTemplate } = props; diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/RefinerModelInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/RefinerModelInputField.tsx index edad33d342..19f2c5ac8e 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/RefinerModelInputField.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/RefinerModelInputField.tsx @@ -89,7 +89,7 @@ const RefinerModelInputFieldComponent = ( return isLoading ? ( @@ -99,7 +99,11 @@ const RefinerModelInputFieldComponent = ( className="nowheel nodrag" tooltip={selectedModel?.description} value={selectedModel?.id} - placeholder={data.length > 0 ? 'Select a model' : 'No models available'} + placeholder={ + data.length > 0 + ? t('models.selectModel') + : t('models.noModelsAvailable') + } data={data} error={!selectedModel} disabled={data.length === 0} diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/SDXLMainModelInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/SDXLMainModelInputField.tsx index ffb4d8d412..89cb8d5150 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/SDXLMainModelInputField.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/SDXLMainModelInputField.tsx @@ -116,7 +116,7 @@ const ModelInputFieldComponent = ( return isLoading ? ( @@ -126,7 +126,11 @@ const ModelInputFieldComponent = ( className="nowheel nodrag" tooltip={selectedModel?.description} value={selectedModel?.id} - placeholder={data.length > 0 ? 'Select a model' : 'No models available'} + placeholder={ + data.length > 0 + ? t('models.selectModel') + : t('models.noModelsAvailable') + } data={data} error={!selectedModel} disabled={data.length === 0} diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/SchedulerInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/SchedulerInputField.tsx index 557c128942..e4a3fb2a3d 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/SchedulerInputField.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/SchedulerInputField.tsx @@ -65,11 +65,6 @@ const SchedulerInputField = ( return ( + props: FieldComponentProps< + StringInputFieldValue | StringPolymorphicInputFieldValue, + StringInputFieldTemplate | StringPolymorphicInputFieldTemplate + > ) => { const { nodeId, field, fieldTemplate } = props; const dispatch = useAppDispatch(); diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/common/NodeTitle.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/common/NodeTitle.tsx index 283e5d115d..e31ac19be0 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/common/NodeTitle.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/common/NodeTitle.tsx @@ -12,6 +12,7 @@ import { useNodeTemplateTitle } from 'features/nodes/hooks/useNodeTemplateTitle' import { nodeLabelChanged } from 'features/nodes/store/nodesSlice'; import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants'; import { MouseEvent, memo, useCallback, useEffect, useState } from 'react'; +import { useTranslation } from 'react-i18next'; type Props = { nodeId: string; @@ -22,16 +23,17 @@ const NodeTitle = ({ nodeId, title }: Props) => { const dispatch = useAppDispatch(); const label = useNodeLabel(nodeId); const templateTitle = useNodeTemplateTitle(nodeId); + const { t } = useTranslation(); const [localTitle, setLocalTitle] = useState(''); const handleSubmit = useCallback( async (newTitle: string) => { dispatch(nodeLabelChanged({ nodeId, label: newTitle })); setLocalTitle( - newTitle || title || templateTitle || 'Problem Setting Title' + label || title || templateTitle || t('nodes.problemSettingTitle') ); }, - [dispatch, nodeId, title, templateTitle] + [dispatch, nodeId, title, templateTitle, label, t] ); const handleChange = useCallback((newTitle: string) => { @@ -40,8 +42,10 @@ const NodeTitle = ({ nodeId, title }: Props) => { useEffect(() => { // Another component may change the title; sync local title with global state - setLocalTitle(label || title || templateTitle || 'Problem Setting Title'); - }, [label, templateTitle, title]); + setLocalTitle( + label || title || templateTitle || t('nodes.problemSettingTitle') + ); + }, [label, templateTitle, title, t]); return ( { borderRadius: 'md', pointerEvents: 'none', transitionProperty: 'common', - transitionDuration: 'normal', + transitionDuration: '0.1s', opacity: 0.7, shadow: isInProgress ? inProgressShadow : undefined, zIndex: -1, diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/panels/BottomLeftPanel/NodeOpacitySlider.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/panels/BottomLeftPanel/NodeOpacitySlider.tsx index 7818dece72..b9078017d4 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/panels/BottomLeftPanel/NodeOpacitySlider.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/panels/BottomLeftPanel/NodeOpacitySlider.tsx @@ -8,10 +8,12 @@ import { import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { nodeOpacityChanged } from 'features/nodes/store/nodesSlice'; import { useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; export default function NodeOpacitySlider() { const dispatch = useAppDispatch(); const nodeOpacity = useAppSelector((state) => state.nodes.nodeOpacity); + const { t } = useTranslation(); const handleChange = useCallback( (v: number) => { @@ -23,7 +25,7 @@ export default function NodeOpacitySlider() { return ( { - return ( - - - - - ); -}; - -export default memo(WorkflowEditorControls); diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopLeftPanel/TopLeftPanel.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopLeftPanel/TopLeftPanel.tsx index 73296ef52d..d355eab348 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopLeftPanel/TopLeftPanel.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopLeftPanel/TopLeftPanel.tsx @@ -4,10 +4,11 @@ import IAIIconButton from 'common/components/IAIIconButton'; import { addNodePopoverOpened } from 'features/nodes/store/nodesSlice'; import { memo, useCallback } from 'react'; import { FaPlus } from 'react-icons/fa'; +import { useTranslation } from 'react-i18next'; const TopLeftPanel = () => { const dispatch = useAppDispatch(); - + const { t } = useTranslation(); const handleOpenAddNodePopover = useCallback(() => { dispatch(addNodePopoverOpened()); }, [dispatch]); @@ -15,8 +16,8 @@ const TopLeftPanel = () => { return ( } onClick={handleOpenAddNodePopover} /> diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopRightPanel/WorkflowEditorSettings.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopRightPanel/WorkflowEditorSettings.tsx index c423750cd8..b822b2abb9 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopRightPanel/WorkflowEditorSettings.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopRightPanel/WorkflowEditorSettings.tsx @@ -29,6 +29,7 @@ import { ChangeEvent, memo, useCallback } from 'react'; import { FaCog } from 'react-icons/fa'; import { SelectionMode } from 'reactflow'; import ReloadNodeTemplatesButton from '../TopCenterPanel/ReloadSchemaButton'; +import { useTranslation } from 'react-i18next'; const formLabelProps: FormLabelProps = { fontWeight: 600, @@ -101,12 +102,14 @@ const WorkflowEditorSettings = forwardRef((_, ref) => { [dispatch] ); + const { t } = useTranslation(); + return ( <> } onClick={onOpen} /> @@ -114,7 +117,7 @@ const WorkflowEditorSettings = forwardRef((_, ref) => { - Workflow Editor Settings + {t('nodes.workflowSettings')} { formLabelProps={formLabelProps} onChange={handleChangeShouldAnimate} isChecked={shouldAnimateEdges} - label="Animated Edges" - helperText="Animate selected edges and edges connected to selected nodes" + label={t('nodes.animatedEdges')} + helperText={t('nodes.animatedEdgesHelp')} /> Advanced @@ -162,8 +165,8 @@ const WorkflowEditorSettings = forwardRef((_, ref) => { formLabelProps={formLabelProps} isChecked={shouldValidateGraph} onChange={handleChangeShouldValidate} - label="Validate Connections and Graph" - helperText="Prevent invalid connections from being made, and invalid graphs from being invoked" + label={t('nodes.validateConnections')} + helperText={t('nodes.validateConnectionsHelp')} /> diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/NodeEditorPanelGroup.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/NodeEditorPanelGroup.tsx index f40d5ddd80..fd1f20b7a1 100644 --- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/NodeEditorPanelGroup.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/NodeEditorPanelGroup.tsx @@ -1,5 +1,5 @@ import { Flex } from '@chakra-ui/react'; -import ProcessButtons from 'features/parameters/components/ProcessButtons/ProcessButtons'; +import QueueControls from 'features/queue/components/QueueControls'; import ResizeHandle from 'features/ui/components/tabs/ResizeHandle'; import { usePanelStorage } from 'features/ui/hooks/usePanelStorage'; import { memo, useCallback, useRef, useState } from 'react'; @@ -11,6 +11,7 @@ import { import 'reactflow/dist/style.css'; import InspectorPanel from './inspector/InspectorPanel'; import WorkflowPanel from './workflow/WorkflowPanel'; +import ParamIterations from 'features/parameters/components/Parameters/Core/ParamIterations'; const NodeEditorPanelGroup = () => { const [isTopPanelCollapsed, setIsTopPanelCollapsed] = useState(false); @@ -26,10 +27,25 @@ const NodeEditorPanelGroup = () => { return ( - + + + + { +type Props = PropsWithChildren & { + maxHeight?: StyleProps['maxHeight']; +}; + +const ScrollableContent = ({ children, maxHeight }: Props) => { return ( @@ -35,7 +40,7 @@ const ScrollableContent = (props: PropsWithChildren) => { }, }} > - {props.children} + {children} diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorDetailsTab.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorDetailsTab.tsx index d626a92021..ffc260b95a 100644 --- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorDetailsTab.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorDetailsTab.tsx @@ -9,6 +9,7 @@ import { memo } from 'react'; import NotesTextarea from '../../flow/nodes/Invocation/NotesTextarea'; import NodeTitle from '../../flow/nodes/common/NodeTitle'; import ScrollableContent from '../ScrollableContent'; +import { useTranslation } from 'react-i18next'; const selector = createSelector( stateSelector, @@ -34,9 +35,12 @@ const selector = createSelector( const InspectorDetailsTab = () => { const { data, template } = useAppSelector(selector); + const { t } = useTranslation(); if (!template || !data) { - return ; + return ( + + ); } return ; diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorOutputsTab.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorOutputsTab.tsx index f6b229f997..f4abc621b4 100644 --- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorOutputsTab.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorOutputsTab.tsx @@ -11,6 +11,7 @@ import { ImageOutput } from 'services/api/types'; import { AnyResult } from 'services/events/types'; import ScrollableContent from '../ScrollableContent'; import ImageOutputPreview from './outputs/ImageOutputPreview'; +import { useTranslation } from 'react-i18next'; const selector = createSelector( stateSelector, @@ -40,13 +41,18 @@ const selector = createSelector( const InspectorOutputsTab = () => { const { node, template, nes } = useAppSelector(selector); + const { t } = useTranslation(); if (!node || !nes || !isInvocationNode(node)) { - return ; + return ( + + ); } if (nes.outputs.length === 0) { - return ; + return ( + + ); } return ( @@ -77,7 +83,7 @@ const InspectorOutputsTab = () => { /> )) ) : ( - + )} diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorTemplateTab.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorTemplateTab.tsx index 525b58b1cb..caa01e5b67 100644 --- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorTemplateTab.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorTemplateTab.tsx @@ -5,6 +5,7 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import { IAINoContentFallback } from 'common/components/IAIImageFallback'; import DataViewer from 'features/gallery/components/ImageMetadataViewer/DataViewer'; import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; const selector = createSelector( stateSelector, @@ -29,12 +30,15 @@ const selector = createSelector( const NodeTemplateInspector = () => { const { template } = useAppSelector(selector); + const { t } = useTranslation(); if (!template) { - return ; + return ( + + ); } - return ; + return ; }; export default memo(NodeTemplateInspector); diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowGeneralTab.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowGeneralTab.tsx index e36675b71f..ad1070096e 100644 --- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowGeneralTab.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowGeneralTab.tsx @@ -16,6 +16,7 @@ import { } from 'features/nodes/store/nodesSlice'; import { ChangeEvent, memo, useCallback } from 'react'; import ScrollableContent from '../ScrollableContent'; +import { useTranslation } from 'react-i18next'; const selector = createSelector( stateSelector, @@ -85,6 +86,8 @@ const WorkflowGeneralTab = () => { [dispatch] ); + const { t } = useTranslation(); + return ( { }} > - + - + - Short Description + {t('nodes.workflowDescription')} { /> - Notes + {t('nodes.workflowNotes')} { const workflow = useWorkflow(); + const { t } = useTranslation(); return ( { h: 'full', }} > - + ); }; diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowLinearTab.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowLinearTab.tsx index d1cecefbff..cf9e11d9d6 100644 --- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowLinearTab.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowLinearTab.tsx @@ -7,6 +7,7 @@ import { IAINoContentFallback } from 'common/components/IAIImageFallback'; import { memo } from 'react'; import LinearViewField from '../../flow/nodes/Invocation/fields/LinearViewField'; import ScrollableContent from '../ScrollableContent'; +import { useTranslation } from 'react-i18next'; const selector = createSelector( stateSelector, @@ -20,6 +21,7 @@ const selector = createSelector( const WorkflowLinearTab = () => { const { fields } = useAppSelector(selector); + const { t } = useTranslation(); return ( { )) ) : ( )} diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useAnyOrDirectInputFieldNames.ts b/invokeai/frontend/web/src/features/nodes/hooks/useAnyOrDirectInputFieldNames.ts index 5822d2ac53..36f2e8a62c 100644 --- a/invokeai/frontend/web/src/features/nodes/hooks/useAnyOrDirectInputFieldNames.ts +++ b/invokeai/frontend/web/src/features/nodes/hooks/useAnyOrDirectInputFieldNames.ts @@ -5,6 +5,10 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import { map } from 'lodash-es'; import { useMemo } from 'react'; import { isInvocationNode } from '../types/types'; +import { + POLYMORPHIC_TYPES, + TYPES_WITH_INPUT_COMPONENTS, +} from '../types/constants'; export const useAnyOrDirectInputFieldNames = (nodeId: string) => { const selector = useMemo( @@ -21,7 +25,12 @@ export const useAnyOrDirectInputFieldNames = (nodeId: string) => { return []; } return map(nodeTemplate.inputs) - .filter((field) => ['any', 'direct'].includes(field.input)) + .filter( + (field) => + (['any', 'direct'].includes(field.input) || + POLYMORPHIC_TYPES.includes(field.type)) && + TYPES_WITH_INPUT_COMPONENTS.includes(field.type) + ) .filter((field) => !field.ui_hidden) .sort((a, b) => (a.ui_order ?? 0) - (b.ui_order ?? 0)) .map((field) => field.name) diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts b/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts index 24982f591e..40c3f029d7 100644 --- a/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts +++ b/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts @@ -143,9 +143,10 @@ export const useBuildNodeData = () => { notes: '', isOpen: true, embedWorkflow: false, - isIntermediate: true, + isIntermediate: type === 'save_image' ? false : true, inputs, outputs, + useCache: template.useCache, }, }; diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useConnectionInputFieldNames.ts b/invokeai/frontend/web/src/features/nodes/hooks/useConnectionInputFieldNames.ts index 93125a3499..eea874cc87 100644 --- a/invokeai/frontend/web/src/features/nodes/hooks/useConnectionInputFieldNames.ts +++ b/invokeai/frontend/web/src/features/nodes/hooks/useConnectionInputFieldNames.ts @@ -4,6 +4,10 @@ import { useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import { map } from 'lodash-es'; import { useMemo } from 'react'; +import { + POLYMORPHIC_TYPES, + TYPES_WITH_INPUT_COMPONENTS, +} from '../types/constants'; import { isInvocationNode } from '../types/types'; export const useConnectionInputFieldNames = (nodeId: string) => { @@ -21,7 +25,12 @@ export const useConnectionInputFieldNames = (nodeId: string) => { return []; } return map(nodeTemplate.inputs) - .filter((field) => field.input === 'connection') + .filter( + (field) => + (field.input === 'connection' && + !POLYMORPHIC_TYPES.includes(field.type)) || + !TYPES_WITH_INPUT_COMPONENTS.includes(field.type) + ) .filter((field) => !field.ui_hidden) .sort((a, b) => (a.ui_order ?? 0) - (b.ui_order ?? 0)) .map((field) => field.name) diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useHasImageOutput.ts b/invokeai/frontend/web/src/features/nodes/hooks/useHasImageOutput.ts index 0976ededd1..111e48a45f 100644 --- a/invokeai/frontend/web/src/features/nodes/hooks/useHasImageOutput.ts +++ b/invokeai/frontend/web/src/features/nodes/hooks/useHasImageOutput.ts @@ -17,8 +17,12 @@ export const useHasImageOutput = (nodeId: string) => { if (!isInvocationNode(node)) { return false; } - return some(node.data.outputs, (output) => - IMAGE_FIELDS.includes(output.type) + return some( + node.data.outputs, + (output) => + IMAGE_FIELDS.includes(output.type) && + // the image primitive node does not actually save the image, do not show the image-saving checkboxes + node.data.type !== 'image' ); }, defaultSelectorOptions diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useIsValidConnection.ts b/invokeai/frontend/web/src/features/nodes/hooks/useIsValidConnection.ts index d1d10bb7e7..0439445c24 100644 --- a/invokeai/frontend/web/src/features/nodes/hooks/useIsValidConnection.ts +++ b/invokeai/frontend/web/src/features/nodes/hooks/useIsValidConnection.ts @@ -3,12 +3,7 @@ import graphlib from '@dagrejs/graphlib'; import { useAppSelector } from 'app/store/storeHooks'; import { useCallback } from 'react'; import { Connection, Edge, Node, useReactFlow } from 'reactflow'; -import { - COLLECTION_MAP, - COLLECTION_TYPES, - POLYMORPHIC_TO_SINGLE_MAP, - POLYMORPHIC_TYPES, -} from '../types/constants'; +import { validateSourceAndTargetTypes } from '../store/util/validateSourceAndTargetTypes'; import { InvocationNodeData } from '../types/types'; /** @@ -23,11 +18,6 @@ export const useIsValidConnection = () => { ); const isValidConnection = useCallback( ({ source, sourceHandle, target, targetHandle }: Connection): boolean => { - if (!shouldValidateGraph) { - // manual override! - return true; - } - const edges = flow.getEdges(); const nodes = flow.getNodes(); // Connection must have valid targets @@ -52,6 +42,16 @@ export const useIsValidConnection = () => { return false; } + if (source === target) { + // Don't allow nodes to connect to themselves, even if validation is disabled + return false; + } + + if (!shouldValidateGraph) { + // manual override! + return true; + } + if ( edges .filter((edge) => { @@ -76,60 +76,8 @@ export const useIsValidConnection = () => { return false; } - /** - * Connection types must be the same for a connection, with exceptions: - * - CollectionItem can connect to any non-Collection - * - Non-Collections can connect to CollectionItem - * - Anything (non-Collections, Collections, Polymorphics) can connect to Polymorphics of the same base type - * - Generic Collection can connect to any other Collection or Polymorphic - * - Any Collection can connect to a Generic Collection - */ - - if (sourceType !== targetType) { - const isCollectionItemToNonCollection = - sourceType === 'CollectionItem' && - !COLLECTION_TYPES.includes(targetType); - - const isNonCollectionToCollectionItem = - targetType === 'CollectionItem' && - !COLLECTION_TYPES.includes(sourceType) && - !POLYMORPHIC_TYPES.includes(sourceType); - - const isAnythingToPolymorphicOfSameBaseType = - POLYMORPHIC_TYPES.includes(targetType) && - (() => { - if (!POLYMORPHIC_TYPES.includes(targetType)) { - return false; - } - const baseType = - POLYMORPHIC_TO_SINGLE_MAP[ - targetType as keyof typeof POLYMORPHIC_TO_SINGLE_MAP - ]; - - const collectionType = - COLLECTION_MAP[baseType as keyof typeof COLLECTION_MAP]; - - return sourceType === baseType || sourceType === collectionType; - })(); - - const isGenericCollectionToAnyCollectionOrPolymorphic = - sourceType === 'Collection' && - (COLLECTION_TYPES.includes(targetType) || - POLYMORPHIC_TYPES.includes(targetType)); - - const isCollectionToGenericCollection = - targetType === 'Collection' && COLLECTION_TYPES.includes(sourceType); - - const isIntToFloat = sourceType === 'integer' && targetType === 'float'; - - return ( - isCollectionItemToNonCollection || - isNonCollectionToCollectionItem || - isAnythingToPolymorphicOfSameBaseType || - isGenericCollectionToAnyCollectionOrPolymorphic || - isCollectionToGenericCollection || - isIntToFloat - ); + if (!validateSourceAndTargetTypes(sourceType, targetType)) { + return false; } // Graphs much be acyclic (no loops!) diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useLoadWorkflowFromFile.tsx b/invokeai/frontend/web/src/features/nodes/hooks/useLoadWorkflowFromFile.tsx index 7f015ac5eb..890fa7a72d 100644 --- a/invokeai/frontend/web/src/features/nodes/hooks/useLoadWorkflowFromFile.tsx +++ b/invokeai/frontend/web/src/features/nodes/hooks/useLoadWorkflowFromFile.tsx @@ -9,10 +9,12 @@ import { memo, useCallback } from 'react'; import { ZodError } from 'zod'; import { fromZodError, fromZodIssue } from 'zod-validation-error'; import { workflowLoadRequested } from '../store/actions'; +import { useTranslation } from 'react-i18next'; export const useLoadWorkflowFromFile = () => { const dispatch = useAppDispatch(); const logger = useLogger('nodes'); + const { t } = useTranslation(); const loadWorkflowFromFile = useCallback( (file: File | null) => { if (!file) { @@ -28,7 +30,7 @@ export const useLoadWorkflowFromFile = () => { if (!result.success) { const { message } = fromZodError(result.error, { - prefix: 'Workflow Validation Error', + prefix: t('nodes.workflowValidation'), }); logger.error({ error: parseify(result.error) }, message); @@ -36,7 +38,7 @@ export const useLoadWorkflowFromFile = () => { dispatch( addToast( makeToast({ - title: 'Unable to Validate Workflow', + title: t('nodes.unableToValidateWorkflow'), status: 'error', duration: 5000, }) @@ -54,7 +56,7 @@ export const useLoadWorkflowFromFile = () => { dispatch( addToast( makeToast({ - title: 'Unable to Load Workflow', + title: t('nodes.unableToLoadWorkflow'), status: 'error', }) ) @@ -64,7 +66,7 @@ export const useLoadWorkflowFromFile = () => { reader.readAsText(file); }, - [dispatch, logger] + [dispatch, logger, t] ); return loadWorkflowFromFile; diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useUseCache.ts b/invokeai/frontend/web/src/features/nodes/hooks/useUseCache.ts new file mode 100644 index 0000000000..7416d7e66e --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/hooks/useUseCache.ts @@ -0,0 +1,29 @@ +import { createSelector } from '@reduxjs/toolkit'; +import { stateSelector } from 'app/store/store'; +import { useAppSelector } from 'app/store/storeHooks'; +import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; +import { useMemo } from 'react'; +import { isInvocationNode } from '../types/types'; + +export const useUseCache = (nodeId: string) => { + const selector = useMemo( + () => + createSelector( + stateSelector, + ({ nodes }) => { + const node = nodes.nodes.find((node) => node.id === nodeId); + if (!isInvocationNode(node)) { + return false; + } + // cast to boolean to support older workflows that didn't have useCache + // TODO: handle this better somehow + return node.data.useCache; + }, + defaultSelectorOptions + ), + [nodeId] + ); + + const useCache = useAppSelector(selector); + return useCache; +}; diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useWithFooter.ts b/invokeai/frontend/web/src/features/nodes/hooks/useWithFooter.ts index 8bde120005..57941eaec8 100644 --- a/invokeai/frontend/web/src/features/nodes/hooks/useWithFooter.ts +++ b/invokeai/frontend/web/src/features/nodes/hooks/useWithFooter.ts @@ -7,7 +7,7 @@ import { useMemo } from 'react'; import { FOOTER_FIELDS } from '../types/constants'; import { isInvocationNode } from '../types/types'; -export const useWithFooter = (nodeId: string) => { +export const useHasImageOutputs = (nodeId: string) => { const selector = useMemo( () => createSelector( diff --git a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts index 2ebed877ac..01de3de883 100644 --- a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts +++ b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts @@ -1,5 +1,5 @@ import { createSlice, PayloadAction } from '@reduxjs/toolkit'; -import { cloneDeep, forEach, isEqual, map, uniqBy } from 'lodash-es'; +import { cloneDeep, forEach, isEqual, uniqBy } from 'lodash-es'; import { addEdge, applyEdgeChanges, @@ -16,19 +16,21 @@ import { OnConnectStartParams, SelectionMode, Viewport, + XYPosition, } from 'reactflow'; import { receivedOpenAPISchema } from 'services/api/thunks/schema'; -import { sessionCanceled, sessionInvoked } from 'services/api/thunks/session'; import { ImageField } from 'services/api/types'; import { appSocketGeneratorProgress, appSocketInvocationComplete, appSocketInvocationError, appSocketInvocationStarted, + appSocketQueueItemStatusChanged, } from 'services/events/actions'; import { v4 as uuidv4 } from 'uuid'; import { DRAG_HANDLE_CLASSNAME } from '../types/constants'; import { + BoardInputFieldValue, BooleanInputFieldValue, ColorInputFieldValue, ControlNetModelInputFieldValue, @@ -41,6 +43,7 @@ import { IntegerInputFieldValue, InvocationNodeData, InvocationTemplate, + IPAdapterModelInputFieldValue, isInvocationNode, isNotesNode, LoRAModelInputFieldValue, @@ -260,6 +263,20 @@ const nodesSlice = createSlice({ } node.data.embedWorkflow = embedWorkflow; }, + nodeUseCacheChanged: ( + state, + action: PayloadAction<{ nodeId: string; useCache: boolean }> + ) => { + const { nodeId, useCache } = action.payload; + const nodeIndex = state.nodes.findIndex((n) => n.id === nodeId); + + const node = state.nodes?.[nodeIndex]; + + if (!isInvocationNode(node)) { + return; + } + node.data.useCache = useCache; + }, nodeIsIntermediateChanged: ( state, action: PayloadAction<{ nodeId: string; isIntermediate: boolean }> @@ -478,6 +495,12 @@ const nodesSlice = createSlice({ ) => { fieldValueReducer(state, action); }, + fieldBoardValueChanged: ( + state, + action: FieldValueAction + ) => { + fieldValueReducer(state, action); + }, fieldImageValueChanged: ( state, action: FieldValueAction @@ -520,6 +543,12 @@ const nodesSlice = createSlice({ ) => { fieldValueReducer(state, action); }, + fieldIPAdapterModelValueChanged: ( + state, + action: FieldValueAction + ) => { + fieldValueReducer(state, action); + }, fieldEnumModelValueChanged: ( state, action: FieldValueAction @@ -693,8 +722,30 @@ const nodesSlice = createSlice({ selectionCopied: (state) => { state.nodesToCopy = state.nodes.filter((n) => n.selected).map(cloneDeep); state.edgesToCopy = state.edges.filter((e) => e.selected).map(cloneDeep); + + if (state.nodesToCopy.length > 0) { + const averagePosition = { x: 0, y: 0 }; + state.nodesToCopy.forEach((e) => { + const xOffset = 0.15 * (e.width ?? 0); + const yOffset = 0.5 * (e.height ?? 0); + averagePosition.x += e.position.x + xOffset; + averagePosition.y += e.position.y + yOffset; + }); + + averagePosition.x /= state.nodesToCopy.length; + averagePosition.y /= state.nodesToCopy.length; + + state.nodesToCopy.forEach((e) => { + e.position.x -= averagePosition.x; + e.position.y -= averagePosition.y; + }); + } }, - selectionPasted: (state) => { + selectionPasted: ( + state, + action: PayloadAction<{ cursorPosition?: XYPosition }> + ) => { + const { cursorPosition } = action.payload; const newNodes = state.nodesToCopy.map(cloneDeep); const oldNodeIds = newNodes.map((n) => n.data.id); const newEdges = state.edgesToCopy @@ -723,8 +774,8 @@ const nodesSlice = createSlice({ const position = findUnoccupiedPosition( state.nodes, - node.position.x, - node.position.y + node.position.x + (cursorPosition?.x ?? 0), + node.position.y + (cursorPosition?.y ?? 0) ); node.position = position; @@ -824,21 +875,16 @@ const nodesSlice = createSlice({ node.progressImage = progress_image ?? null; } }); - builder.addCase(sessionInvoked.fulfilled, (state) => { - forEach(state.nodeExecutionStates, (nes) => { - nes.status = NodeStatus.PENDING; - nes.error = null; - nes.progress = null; - nes.progressImage = null; - nes.outputs = []; - }); - }); - builder.addCase(sessionCanceled.fulfilled, (state) => { - map(state.nodeExecutionStates, (nes) => { - if (nes.status === NodeStatus.IN_PROGRESS) { + builder.addCase(appSocketQueueItemStatusChanged, (state, action) => { + if (['in_progress'].includes(action.payload.data.status)) { + forEach(state.nodeExecutionStates, (nes) => { nes.status = NodeStatus.PENDING; - } - }); + nes.error = null; + nes.progress = null; + nes.progressImage = null; + nes.outputs = []; + }); + } }); }, }); @@ -858,6 +904,7 @@ export const { imageCollectionFieldValueChanged, fieldStringValueChanged, fieldNumberValueChanged, + fieldBoardValueChanged, fieldBooleanValueChanged, fieldImageValueChanged, fieldColorValueChanged, @@ -866,6 +913,7 @@ export const { fieldLoRAModelValueChanged, fieldEnumModelValueChanged, fieldControlNetModelValueChanged, + fieldIPAdapterModelValueChanged, fieldRefinerModelValueChanged, fieldSchedulerValueChanged, nodeIsOpenChanged, @@ -904,6 +952,7 @@ export const { nodeIsIntermediateChanged, mouseOverNodeChanged, nodeExclusivelySelected, + nodeUseCacheChanged, } = nodesSlice.actions; export default nodesSlice.reducer; diff --git a/invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts b/invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts index 5cb6d557e8..1be2d579d8 100644 --- a/invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts +++ b/invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts @@ -1,14 +1,10 @@ import { createSelector } from '@reduxjs/toolkit'; import { stateSelector } from 'app/store/store'; import { getIsGraphAcyclic } from 'features/nodes/hooks/useIsValidConnection'; -import { - COLLECTION_MAP, - COLLECTION_TYPES, - POLYMORPHIC_TO_SINGLE_MAP, - POLYMORPHIC_TYPES, -} from 'features/nodes/types/constants'; import { FieldType } from 'features/nodes/types/types'; +import i18n from 'i18next'; import { HandleType } from 'reactflow'; +import { validateSourceAndTargetTypes } from './validateSourceAndTargetTypes'; /** * NOTE: The logic here must be duplicated in `invokeai/frontend/web/src/features/nodes/hooks/useIsValidConnection.ts` @@ -20,17 +16,17 @@ export const makeConnectionErrorSelector = ( fieldName: string, handleType: HandleType, fieldType?: FieldType -) => - createSelector(stateSelector, (state) => { +) => { + return createSelector(stateSelector, (state) => { if (!fieldType) { - return 'No field type'; + return i18n.t('nodes.noFieldType'); } const { currentConnectionFieldType, connectionStartParams, nodes, edges } = state.nodes; if (!connectionStartParams || !currentConnectionFieldType) { - return 'No connection in progress'; + return i18n.t('nodes.noConnectionInProgress'); } const { @@ -40,7 +36,7 @@ export const makeConnectionErrorSelector = ( } = connectionStartParams; if (!connectionHandleType || !connectionNodeId || !connectionFieldName) { - return 'No connection data'; + return i18n.t('nodes.noConnectionData'); } const targetType = @@ -49,14 +45,14 @@ export const makeConnectionErrorSelector = ( handleType === 'source' ? fieldType : currentConnectionFieldType; if (nodeId === connectionNodeId) { - return 'Cannot connect to self'; + return i18n.t('nodes.cannotConnectToSelf'); } if (handleType === connectionHandleType) { if (handleType === 'source') { - return 'Cannot connect output to output'; + return i18n.t('nodes.cannotConnectOutputToOutput'); } - return 'Cannot connect input to input'; + return i18n.t('nodes.cannotConnectInputToInput'); } if ( @@ -66,67 +62,11 @@ export const makeConnectionErrorSelector = ( // except CollectionItem inputs can have multiples targetType !== 'CollectionItem' ) { - return 'Input may only have one connection'; + return i18n.t('nodes.inputMayOnlyHaveOneConnection'); } - /** - * Connection types must be the same for a connection, with exceptions: - * - CollectionItem can connect to any non-Collection - * - Non-Collections can connect to CollectionItem - * - Anything (non-Collections, Collections, Polymorphics) can connect to Polymorphics of the same base type - * - Generic Collection can connect to any other Collection or Polymorphic - * - Any Collection can connect to a Generic Collection - */ - - if (sourceType !== targetType) { - const isCollectionItemToNonCollection = - sourceType === 'CollectionItem' && - !COLLECTION_TYPES.includes(targetType); - - const isNonCollectionToCollectionItem = - targetType === 'CollectionItem' && - !COLLECTION_TYPES.includes(sourceType) && - !POLYMORPHIC_TYPES.includes(sourceType); - - const isAnythingToPolymorphicOfSameBaseType = - POLYMORPHIC_TYPES.includes(targetType) && - (() => { - if (!POLYMORPHIC_TYPES.includes(targetType)) { - return false; - } - const baseType = - POLYMORPHIC_TO_SINGLE_MAP[ - targetType as keyof typeof POLYMORPHIC_TO_SINGLE_MAP - ]; - - const collectionType = - COLLECTION_MAP[baseType as keyof typeof COLLECTION_MAP]; - - return sourceType === baseType || sourceType === collectionType; - })(); - - const isGenericCollectionToAnyCollectionOrPolymorphic = - sourceType === 'Collection' && - (COLLECTION_TYPES.includes(targetType) || - POLYMORPHIC_TYPES.includes(targetType)); - - const isCollectionToGenericCollection = - targetType === 'Collection' && COLLECTION_TYPES.includes(sourceType); - - const isIntToFloat = sourceType === 'integer' && targetType === 'float'; - - if ( - !( - isCollectionItemToNonCollection || - isNonCollectionToCollectionItem || - isAnythingToPolymorphicOfSameBaseType || - isGenericCollectionToAnyCollectionOrPolymorphic || - isCollectionToGenericCollection || - isIntToFloat - ) - ) { - return 'Field types must match'; - } + if (!validateSourceAndTargetTypes(sourceType, targetType)) { + return i18n.t('nodes.fieldTypesMustMatch'); } const isGraphAcyclic = getIsGraphAcyclic( @@ -137,8 +77,9 @@ export const makeConnectionErrorSelector = ( ); if (!isGraphAcyclic) { - return 'Connection would create a cycle'; + return i18n.t('nodes.connectionWouldCreateCycle'); } return null; }); +}; diff --git a/invokeai/frontend/web/src/features/nodes/store/util/validateSourceAndTargetTypes.ts b/invokeai/frontend/web/src/features/nodes/store/util/validateSourceAndTargetTypes.ts new file mode 100644 index 0000000000..4f0be3329a --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/store/util/validateSourceAndTargetTypes.ts @@ -0,0 +1,74 @@ +import { + COLLECTION_MAP, + COLLECTION_TYPES, + POLYMORPHIC_TO_SINGLE_MAP, + POLYMORPHIC_TYPES, +} from 'features/nodes/types/constants'; +import { FieldType } from 'features/nodes/types/types'; + +export const validateSourceAndTargetTypes = ( + sourceType: FieldType, + targetType: FieldType +) => { + if (sourceType === targetType) { + return true; + } + + /** + * Connection types must be the same for a connection, with exceptions: + * - CollectionItem can connect to any non-Collection + * - Non-Collections can connect to CollectionItem + * - Anything (non-Collections, Collections, Polymorphics) can connect to Polymorphics of the same base type + * - Generic Collection can connect to any other Collection or Polymorphic + * - Any Collection can connect to a Generic Collection + */ + + const isCollectionItemToNonCollection = + sourceType === 'CollectionItem' && !COLLECTION_TYPES.includes(targetType); + + const isNonCollectionToCollectionItem = + targetType === 'CollectionItem' && + !COLLECTION_TYPES.includes(sourceType) && + !POLYMORPHIC_TYPES.includes(sourceType); + + const isAnythingToPolymorphicOfSameBaseType = + POLYMORPHIC_TYPES.includes(targetType) && + (() => { + if (!POLYMORPHIC_TYPES.includes(targetType)) { + return false; + } + const baseType = + POLYMORPHIC_TO_SINGLE_MAP[ + targetType as keyof typeof POLYMORPHIC_TO_SINGLE_MAP + ]; + + const collectionType = + COLLECTION_MAP[baseType as keyof typeof COLLECTION_MAP]; + + return sourceType === baseType || sourceType === collectionType; + })(); + + const isGenericCollectionToAnyCollectionOrPolymorphic = + sourceType === 'Collection' && + (COLLECTION_TYPES.includes(targetType) || + POLYMORPHIC_TYPES.includes(targetType)); + + const isCollectionToGenericCollection = + targetType === 'Collection' && COLLECTION_TYPES.includes(sourceType); + + const isIntToFloat = sourceType === 'integer' && targetType === 'float'; + + const isIntOrFloatToString = + (sourceType === 'integer' || sourceType === 'float') && + targetType === 'string'; + + return ( + isCollectionItemToNonCollection || + isNonCollectionToCollectionItem || + isAnythingToPolymorphicOfSameBaseType || + isGenericCollectionToAnyCollectionOrPolymorphic || + isCollectionToGenericCollection || + isIntToFloat || + isIntOrFloatToString + ); +}; diff --git a/invokeai/frontend/web/src/features/nodes/types/constants.ts b/invokeai/frontend/web/src/features/nodes/types/constants.ts index a12c1fbddc..c41d8369b1 100644 --- a/invokeai/frontend/web/src/features/nodes/types/constants.ts +++ b/invokeai/frontend/web/src/features/nodes/types/constants.ts @@ -1,4 +1,10 @@ -import { FieldType, FieldUIConfig } from './types'; +import { + FieldType, + FieldTypeMap, + FieldTypeMapWithNumber, + FieldUIConfig, +} from './types'; +import { t } from 'i18next'; export const HANDLE_TOOLTIP_OPEN_DELAY = 500; export const COLOR_TOKEN_VALUE = 500; @@ -27,7 +33,7 @@ export const COLLECTION_TYPES: FieldType[] = [ 'ColorCollection', ]; -export const POLYMORPHIC_TYPES = [ +export const POLYMORPHIC_TYPES: FieldType[] = [ 'IntegerPolymorphic', 'BooleanPolymorphic', 'FloatPolymorphic', @@ -39,7 +45,8 @@ export const POLYMORPHIC_TYPES = [ 'ColorPolymorphic', ]; -export const MODEL_TYPES = [ +export const MODEL_TYPES: FieldType[] = [ + 'IPAdapterModelField', 'ControlNetModelField', 'LoRAModelField', 'MainModelField', @@ -52,7 +59,7 @@ export const MODEL_TYPES = [ 'ClipField', ]; -export const COLLECTION_MAP = { +export const COLLECTION_MAP: FieldTypeMapWithNumber = { integer: 'IntegerCollection', boolean: 'BooleanCollection', number: 'FloatCollection', @@ -69,7 +76,7 @@ export const isCollectionItemType = ( ): itemType is keyof typeof COLLECTION_MAP => Boolean(itemType && itemType in COLLECTION_MAP); -export const SINGLE_TO_POLYMORPHIC_MAP = { +export const SINGLE_TO_POLYMORPHIC_MAP: FieldTypeMapWithNumber = { integer: 'IntegerPolymorphic', boolean: 'BooleanPolymorphic', number: 'FloatPolymorphic', @@ -82,7 +89,7 @@ export const SINGLE_TO_POLYMORPHIC_MAP = { ColorField: 'ColorPolymorphic', }; -export const POLYMORPHIC_TO_SINGLE_MAP = { +export const POLYMORPHIC_TO_SINGLE_MAP: FieldTypeMap = { IntegerPolymorphic: 'integer', BooleanPolymorphic: 'boolean', FloatPolymorphic: 'float', @@ -94,6 +101,30 @@ export const POLYMORPHIC_TO_SINGLE_MAP = { ColorPolymorphic: 'ColorField', }; +export const TYPES_WITH_INPUT_COMPONENTS: FieldType[] = [ + 'string', + 'StringPolymorphic', + 'boolean', + 'BooleanPolymorphic', + 'integer', + 'float', + 'FloatPolymorphic', + 'IntegerPolymorphic', + 'enum', + 'ImageField', + 'ImagePolymorphic', + 'MainModelField', + 'SDXLRefinerModelField', + 'VaeModelField', + 'LoRAModelField', + 'ControlNetModelField', + 'ColorField', + 'SDXLMainModelField', + 'Scheduler', + 'IPAdapterModelField', + 'BoardField', +]; + export const isPolymorphicItemType = ( itemType: string | undefined ): itemType is keyof typeof SINGLE_TO_POLYMORPHIC_MAP => @@ -102,73 +133,73 @@ export const isPolymorphicItemType = ( export const FIELDS: Record = { boolean: { color: 'green.500', - description: 'Booleans are true or false.', - title: 'Boolean', + description: t('nodes.booleanDescription'), + title: t('nodes.boolean'), }, BooleanCollection: { color: 'green.500', - description: 'A collection of booleans.', - title: 'Boolean Collection', + description: t('nodes.booleanCollectionDescription'), + title: t('nodes.booleanCollection'), }, BooleanPolymorphic: { color: 'green.500', - description: 'A collection of booleans.', - title: 'Boolean Polymorphic', + description: t('nodes.booleanPolymorphicDescription'), + title: t('nodes.booleanPolymorphic'), }, ClipField: { color: 'green.500', - description: 'Tokenizer and text_encoder submodels.', - title: 'Clip', + description: t('nodes.clipFieldDescription'), + title: t('nodes.clipField'), }, Collection: { color: 'base.500', - description: 'TODO', - title: 'Collection', + description: t('nodes.collectionDescription'), + title: t('nodes.collection'), }, CollectionItem: { color: 'base.500', - description: 'TODO', - title: 'Collection Item', + description: t('nodes.collectionItemDescription'), + title: t('nodes.collectionItem'), }, ColorCollection: { color: 'pink.300', - description: 'A collection of colors.', - title: 'Color Collection', + description: t('nodes.colorCollectionDescription'), + title: t('nodes.colorCollection'), }, ColorField: { color: 'pink.300', - description: 'A RGBA color.', - title: 'Color', + description: t('nodes.colorFieldDescription'), + title: t('nodes.colorField'), }, ColorPolymorphic: { color: 'pink.300', - description: 'A collection of colors.', - title: 'Color Polymorphic', + description: t('nodes.colorPolymorphicDescription'), + title: t('nodes.colorPolymorphic'), }, ConditioningCollection: { color: 'cyan.500', - description: 'Conditioning may be passed between nodes.', - title: 'Conditioning Collection', + description: t('nodes.conditioningCollectionDescription'), + title: t('nodes.conditioningCollection'), }, ConditioningField: { color: 'cyan.500', - description: 'Conditioning may be passed between nodes.', - title: 'Conditioning', + description: t('nodes.conditioningFieldDescription'), + title: t('nodes.conditioningField'), }, ConditioningPolymorphic: { color: 'cyan.500', - description: 'Conditioning may be passed between nodes.', - title: 'Conditioning Polymorphic', + description: t('nodes.conditioningPolymorphicDescription'), + title: t('nodes.conditioningPolymorphic'), }, ControlCollection: { color: 'teal.500', - description: 'Control info passed between nodes.', - title: 'Control Collection', + description: t('nodes.controlCollectionDescription'), + title: t('nodes.controlCollection'), }, ControlField: { color: 'teal.500', - description: 'Control info passed between nodes.', - title: 'Control', + description: t('nodes.controlFieldDescription'), + title: t('nodes.controlField'), }, ControlNetModelField: { color: 'teal.500', @@ -182,132 +213,147 @@ export const FIELDS: Record = { }, DenoiseMaskField: { color: 'blue.300', - description: 'Denoise Mask may be passed between nodes', - title: 'Denoise Mask', + description: t('nodes.denoiseMaskFieldDescription'), + title: t('nodes.denoiseMaskField'), }, enum: { color: 'blue.500', - description: 'Enums are values that may be one of a number of options.', - title: 'Enum', + description: t('nodes.enumDescription'), + title: t('nodes.enum'), }, float: { color: 'orange.500', - description: 'Floats are numbers with a decimal point.', - title: 'Float', + description: t('nodes.floatDescription'), + title: t('nodes.float'), }, FloatCollection: { color: 'orange.500', - description: 'A collection of floats.', - title: 'Float Collection', + description: t('nodes.floatCollectionDescription'), + title: t('nodes.floatCollection'), }, FloatPolymorphic: { color: 'orange.500', - description: 'A collection of floats.', - title: 'Float Polymorphic', + description: t('nodes.floatPolymorphicDescription'), + title: t('nodes.floatPolymorphic'), }, ImageCollection: { color: 'purple.500', - description: 'A collection of images.', - title: 'Image Collection', + description: t('nodes.imageCollectionDescription'), + title: t('nodes.imageCollection'), }, ImageField: { color: 'purple.500', - description: 'Images may be passed between nodes.', - title: 'Image', + description: t('nodes.imageFieldDescription'), + title: t('nodes.imageField'), + }, + BoardField: { + color: 'purple.500', + description: t('nodes.imageFieldDescription'), + title: t('nodes.imageField'), }, ImagePolymorphic: { color: 'purple.500', - description: 'A collection of images.', - title: 'Image Polymorphic', + description: t('nodes.imagePolymorphicDescription'), + title: t('nodes.imagePolymorphic'), }, integer: { color: 'red.500', - description: 'Integers are whole numbers, without a decimal point.', - title: 'Integer', + description: t('nodes.integerDescription'), + title: t('nodes.integer'), }, IntegerCollection: { color: 'red.500', - description: 'A collection of integers.', - title: 'Integer Collection', + description: t('nodes.integerCollectionDescription'), + title: t('nodes.integerCollection'), }, IntegerPolymorphic: { color: 'red.500', - description: 'A collection of integers.', - title: 'Integer Polymorphic', + description: t('nodes.integerPolymorphicDescription'), + title: t('nodes.integerPolymorphic'), + }, + IPAdapterField: { + color: 'green.300', + description: 'IP-Adapter info passed between nodes.', + title: 'IP-Adapter', + }, + IPAdapterModelField: { + color: 'teal.500', + description: 'IP-Adapter model', + title: 'IP-Adapter Model', }, LatentsCollection: { color: 'pink.500', - description: 'Latents may be passed between nodes.', - title: 'Latents Collection', + description: t('nodes.latentsCollectionDescription'), + title: t('nodes.latentsCollection'), }, LatentsField: { color: 'pink.500', - description: 'Latents may be passed between nodes.', - title: 'Latents', + description: t('nodes.latentsFieldDescription'), + title: t('nodes.latentsField'), }, LatentsPolymorphic: { color: 'pink.500', - description: 'Latents may be passed between nodes.', - title: 'Latents Polymorphic', + description: t('nodes.latentsPolymorphicDescription'), + title: t('nodes.latentsPolymorphic'), }, LoRAModelField: { color: 'teal.500', - description: 'TODO', - title: 'LoRA', + description: t('nodes.loRAModelFieldDescription'), + title: t('nodes.loRAModelField'), }, MainModelField: { color: 'teal.500', - description: 'TODO', - title: 'Model', + description: t('nodes.mainModelFieldDescription'), + title: t('nodes.mainModelField'), }, ONNXModelField: { color: 'teal.500', - description: 'ONNX model field.', - title: 'ONNX Model', + description: t('nodes.oNNXModelFieldDescription'), + title: t('nodes.oNNXModelField'), }, Scheduler: { color: 'base.500', - description: 'TODO', - title: 'Scheduler', + description: t('nodes.schedulerDescription'), + title: t('nodes.scheduler'), }, SDXLMainModelField: { color: 'teal.500', - description: 'SDXL model field.', - title: 'SDXL Model', + description: t('nodes.sDXLMainModelFieldDescription'), + title: t('nodes.sDXLMainModelField'), }, SDXLRefinerModelField: { color: 'teal.500', - description: 'TODO', - title: 'Refiner Model', + description: t('nodes.sDXLRefinerModelFieldDescription'), + title: t('nodes.sDXLRefinerModelField'), }, string: { color: 'yellow.500', - description: 'Strings are text.', - title: 'String', + description: t('nodes.stringDescription'), + title: t('nodes.string'), }, StringCollection: { color: 'yellow.500', - description: 'A collection of strings.', - title: 'String Collection', + description: t('nodes.stringCollectionDescription'), + title: t('nodes.stringCollection'), }, StringPolymorphic: { color: 'yellow.500', - description: 'A collection of strings.', - title: 'String Polymorphic', + description: t('nodes.stringPolymorphicDescription'), + title: t('nodes.stringPolymorphic'), }, UNetField: { color: 'red.500', - description: 'UNet submodel.', - title: 'UNet', + description: t('nodes.uNetFieldDescription'), + title: t('nodes.uNetField'), }, VaeField: { color: 'blue.500', - description: 'Vae submodel.', - title: 'Vae', + description: t('nodes.vaeFieldDescription'), + title: t('nodes.vaeField'), }, VaeModelField: { color: 'teal.500', - description: 'TODO', - title: 'VAE', + description: t('nodes.vaeModelFieldDescription'), + title: t('nodes.vaeModelField'), }, }; diff --git a/invokeai/frontend/web/src/features/nodes/types/types.ts b/invokeai/frontend/web/src/features/nodes/types/types.ts index 402ef4ac7a..fc8fe10ccc 100644 --- a/invokeai/frontend/web/src/features/nodes/types/types.ts +++ b/invokeai/frontend/web/src/features/nodes/types/types.ts @@ -1,3 +1,4 @@ +import { $store } from 'app/store/nanostores/store'; import { SchedulerParam, zBaseModel, @@ -7,7 +8,8 @@ import { zSDXLRefinerModel, zScheduler, } from 'features/parameters/types/parameterSchemas'; -import { keyBy } from 'lodash-es'; +import i18n from 'i18next'; +import { has, keyBy } from 'lodash-es'; import { OpenAPIV3 } from 'openapi-types'; import { RgbaColor } from 'react-colorful'; import { Node } from 'reactflow'; @@ -56,6 +58,10 @@ export type InvocationTemplate = { * The invocation's version. */ version?: string; + /** + * Whether or not this node should use the cache + */ + useCache: boolean; }; export type FieldUIConfig = { @@ -66,6 +72,7 @@ export type FieldUIConfig = { // TODO: Get this from the OpenAPI schema? may be tricky... export const zFieldType = z.enum([ + 'BoardField', 'boolean', 'BooleanCollection', 'BooleanPolymorphic', @@ -93,6 +100,8 @@ export const zFieldType = z.enum([ 'integer', 'IntegerCollection', 'IntegerPolymorphic', + 'IPAdapterField', + 'IPAdapterModelField', 'LatentsCollection', 'LatentsField', 'LatentsPolymorphic', @@ -111,6 +120,10 @@ export const zFieldType = z.enum([ ]); export type FieldType = z.infer; +export type FieldTypeMap = { [key in FieldType]?: FieldType }; +export type FieldTypeMapWithNumber = { + [key in FieldType | 'number']?: FieldType; +}; export const zReservedFieldType = z.enum([ 'WorkflowField', @@ -179,6 +192,11 @@ export const zImageField = z.object({ }); export type ImageField = z.infer; +export const zBoardField = z.object({ + board_id: z.string().trim().min(1), +}); +export type BoardField = z.infer; + export const zLatentsField = z.object({ latents_name: z.string().trim().min(1), seed: z.number().int().optional(), @@ -212,7 +230,7 @@ export type IntegerCollectionInputFieldValue = z.infer< export const zIntegerPolymorphicInputFieldValue = zInputFieldValueBase.extend({ type: z.literal('IntegerPolymorphic'), - value: z.union([z.number().int(), z.array(z.number().int())]).optional(), + value: z.number().int().optional(), }); export type IntegerPolymorphicInputFieldValue = z.infer< typeof zIntegerPolymorphicInputFieldValue @@ -234,7 +252,7 @@ export type FloatCollectionInputFieldValue = z.infer< export const zFloatPolymorphicInputFieldValue = zInputFieldValueBase.extend({ type: z.literal('FloatPolymorphic'), - value: z.union([z.number(), z.array(z.number())]).optional(), + value: z.number().optional(), }); export type FloatPolymorphicInputFieldValue = z.infer< typeof zFloatPolymorphicInputFieldValue @@ -256,7 +274,7 @@ export type StringCollectionInputFieldValue = z.infer< export const zStringPolymorphicInputFieldValue = zInputFieldValueBase.extend({ type: z.literal('StringPolymorphic'), - value: z.union([z.string(), z.array(z.string())]).optional(), + value: z.string().optional(), }); export type StringPolymorphicInputFieldValue = z.infer< typeof zStringPolymorphicInputFieldValue @@ -278,7 +296,7 @@ export type BooleanCollectionInputFieldValue = z.infer< export const zBooleanPolymorphicInputFieldValue = zInputFieldValueBase.extend({ type: z.literal('BooleanPolymorphic'), - value: z.union([z.boolean(), z.array(z.boolean())]).optional(), + value: z.boolean().optional(), }); export type BooleanPolymorphicInputFieldValue = z.infer< typeof zBooleanPolymorphicInputFieldValue @@ -286,7 +304,7 @@ export type BooleanPolymorphicInputFieldValue = z.infer< export const zEnumInputFieldValue = zInputFieldValueBase.extend({ type: z.literal('enum'), - value: z.union([z.string(), z.number()]).optional(), + value: z.string().optional(), }); export type EnumInputFieldValue = z.infer; @@ -388,6 +406,25 @@ export type ControlCollectionInputFieldValue = z.infer< typeof zControlCollectionInputFieldValue >; +export const zIPAdapterModel = zModelIdentifier; +export type IPAdapterModel = z.infer; + +export const zIPAdapterField = z.object({ + image: zImageField, + ip_adapter_model: zIPAdapterModel, + image_encoder_model: z.string().trim().min(1), + weight: z.number(), +}); +export type IPAdapterField = z.infer; + +export const zIPAdapterInputFieldValue = zInputFieldValueBase.extend({ + type: z.literal('IPAdapterField'), + value: zIPAdapterField.optional(), +}); +export type IPAdapterInputFieldValue = z.infer< + typeof zIPAdapterInputFieldValue +>; + export const zModelType = z.enum([ 'onnx', 'main', @@ -467,9 +504,15 @@ export const zImageInputFieldValue = zInputFieldValueBase.extend({ }); export type ImageInputFieldValue = z.infer; +export const zBoardInputFieldValue = zInputFieldValueBase.extend({ + type: z.literal('BoardField'), + value: zBoardField.optional(), +}); +export type BoardInputFieldValue = z.infer; + export const zImagePolymorphicInputFieldValue = zInputFieldValueBase.extend({ type: z.literal('ImagePolymorphic'), - value: z.union([zImageField, z.array(zImageField)]).optional(), + value: zImageField.optional(), }); export type ImagePolymorphicInputFieldValue = z.infer< typeof zImagePolymorphicInputFieldValue @@ -537,6 +580,17 @@ export type ControlNetModelInputFieldValue = z.infer< typeof zControlNetModelInputFieldValue >; +export const zIPAdapterModelField = zModelIdentifier; +export type IPAdapterModelField = z.infer; + +export const zIPAdapterModelInputFieldValue = zInputFieldValueBase.extend({ + type: z.literal('IPAdapterModelField'), + value: zIPAdapterModelField.optional(), +}); +export type IPAdapterModelInputFieldValue = z.infer< + typeof zIPAdapterModelInputFieldValue +>; + export const zCollectionInputFieldValue = zInputFieldValueBase.extend({ type: z.literal('Collection'), value: z.array(z.any()).optional(), // TODO: should this field ever have a value? @@ -592,6 +646,7 @@ export type SchedulerInputFieldValue = z.infer< >; export const zInputFieldValue = z.discriminatedUnion('type', [ + zBoardInputFieldValue, zBooleanCollectionInputFieldValue, zBooleanInputFieldValue, zBooleanPolymorphicInputFieldValue, @@ -619,6 +674,8 @@ export const zInputFieldValue = z.discriminatedUnion('type', [ zIntegerCollectionInputFieldValue, zIntegerPolymorphicInputFieldValue, zIntegerInputFieldValue, + zIPAdapterInputFieldValue, + zIPAdapterModelInputFieldValue, zLatentsInputFieldValue, zLatentsCollectionInputFieldValue, zLatentsPolymorphicInputFieldValue, @@ -730,6 +787,11 @@ export type BooleanPolymorphicInputFieldTemplate = Omit< type: 'BooleanPolymorphic'; }; +export type BoardInputFieldTemplate = InputFieldTemplateBase & { + default: BoardField; + type: 'BoardField'; +}; + export type ImageInputFieldTemplate = InputFieldTemplateBase & { default: ImageField; type: 'ImageField'; @@ -821,11 +883,16 @@ export type ControlPolymorphicInputFieldTemplate = Omit< type: 'ControlPolymorphic'; }; +export type IPAdapterInputFieldTemplate = InputFieldTemplateBase & { + default: undefined; + type: 'IPAdapterField'; +}; + export type EnumInputFieldTemplate = InputFieldTemplateBase & { - default: string | number; + default: string; type: 'enum'; - enumType: 'string' | 'number'; - options: Array; + options: string[]; + labels?: { [key: string]: string }; }; export type MainModelInputFieldTemplate = InputFieldTemplateBase & { @@ -858,6 +925,11 @@ export type ControlNetModelInputFieldTemplate = InputFieldTemplateBase & { type: 'ControlNetModelField'; }; +export type IPAdapterModelInputFieldTemplate = InputFieldTemplateBase & { + default: string; + type: 'IPAdapterModelField'; +}; + export type CollectionInputFieldTemplate = InputFieldTemplateBase & { default: []; type: 'Collection'; @@ -902,6 +974,7 @@ export type WorkflowInputFieldTemplate = InputFieldTemplateBase & { * maximum length, pattern to match, etc). */ export type InputFieldTemplate = + | BoardInputFieldTemplate | BooleanCollectionInputFieldTemplate | BooleanPolymorphicInputFieldTemplate | BooleanInputFieldTemplate @@ -929,6 +1002,8 @@ export type InputFieldTemplate = | IntegerCollectionInputFieldTemplate | IntegerPolymorphicInputFieldTemplate | IntegerInputFieldTemplate + | IPAdapterInputFieldTemplate + | IPAdapterModelInputFieldTemplate | LatentsInputFieldTemplate | LatentsCollectionInputFieldTemplate | LatentsPolymorphicInputFieldTemplate @@ -975,6 +1050,9 @@ export type InvocationSchemaExtra = { type: Omit & { default: AnyInvocationType; }; + use_cache: Omit & { + default: boolean; + }; }; }; @@ -1056,25 +1134,33 @@ export const isInvocationFieldSchema = ( export type InvocationEdgeExtra = { type: 'default' | 'collapsed' }; +const zLoRAMetadataItem = z.object({ + lora: zLoRAModelField.deepPartial(), + weight: z.number(), +}); + +export type LoRAMetadataItem = z.infer; + export const zCoreMetadata = z .object({ - app_version: z.string().nullish(), - generation_mode: z.string().nullish(), - created_by: z.string().nullish(), - positive_prompt: z.string().nullish(), - negative_prompt: z.string().nullish(), - width: z.number().int().nullish(), - height: z.number().int().nullish(), - seed: z.number().int().nullish(), - rand_device: z.string().nullish(), - cfg_scale: z.number().nullish(), - steps: z.number().int().nullish(), - scheduler: z.string().nullish(), - clip_skip: z.number().int().nullish(), + app_version: z.string().nullish().catch(null), + generation_mode: z.string().nullish().catch(null), + created_by: z.string().nullish().catch(null), + positive_prompt: z.string().nullish().catch(null), + negative_prompt: z.string().nullish().catch(null), + width: z.number().int().nullish().catch(null), + height: z.number().int().nullish().catch(null), + seed: z.number().int().nullish().catch(null), + rand_device: z.string().nullish().catch(null), + cfg_scale: z.number().nullish().catch(null), + steps: z.number().int().nullish().catch(null), + scheduler: z.string().nullish().catch(null), + clip_skip: z.number().int().nullish().catch(null), model: z .union([zMainModel.deepPartial(), zOnnxModel.deepPartial()]) - .nullish(), - controlnets: z.array(zControlField.deepPartial()).nullish(), + .nullish() + .catch(null), + controlnets: z.array(zControlField.deepPartial()).nullish().catch(null), loras: z .array( z.object({ @@ -1082,19 +1168,20 @@ export const zCoreMetadata = z weight: z.number(), }) ) - .nullish(), - vae: zVaeModelField.nullish(), - strength: z.number().nullish(), - init_image: z.string().nullish(), - positive_style_prompt: z.string().nullish(), - negative_style_prompt: z.string().nullish(), - refiner_model: zSDXLRefinerModel.deepPartial().nullish(), - refiner_cfg_scale: z.number().nullish(), - refiner_steps: z.number().int().nullish(), - refiner_scheduler: z.string().nullish(), - refiner_positive_aesthetic_score: z.number().nullish(), - refiner_negative_aesthetic_score: z.number().nullish(), - refiner_start: z.number().nullish(), + .nullish() + .catch(null), + vae: zVaeModelField.nullish().catch(null), + strength: z.number().nullish().catch(null), + init_image: z.string().nullish().catch(null), + positive_style_prompt: z.string().nullish().catch(null), + negative_style_prompt: z.string().nullish().catch(null), + refiner_model: zSDXLRefinerModel.deepPartial().nullish().catch(null), + refiner_cfg_scale: z.number().nullish().catch(null), + refiner_steps: z.number().int().nullish().catch(null), + refiner_scheduler: z.string().nullish().catch(null), + refiner_positive_aesthetic_score: z.number().nullish().catch(null), + refiner_negative_aesthetic_score: z.number().nullish().catch(null), + refiner_start: z.number().nullish().catch(null), }) .passthrough(); @@ -1138,9 +1225,37 @@ export const zInvocationNodeData = z.object({ version: zSemVer.optional(), }); +export const zInvocationNodeDataV2 = z.preprocess( + (arg) => { + try { + const data = zInvocationNodeData.parse(arg); + if (!has(data, 'useCache')) { + const nodeTemplates = $store.get()?.getState().nodes.nodeTemplates as + | Record + | undefined; + + const template = nodeTemplates?.[data.type]; + + let useCache = true; + if (template) { + useCache = template.useCache; + } + + Object.assign(data, { useCache }); + } + return data; + } catch { + return arg; + } + }, + zInvocationNodeData.extend({ + useCache: z.boolean(), + }) +); + // Massage this to get better type safety while developing export type InvocationNodeData = Omit< - z.infer, + z.infer, 'type' > & { type: AnyInvocationType; @@ -1168,7 +1283,7 @@ const zDimension = z.number().gt(0).nullish(); export const zWorkflowInvocationNode = z.object({ id: z.string().trim().min(1), type: z.literal('invocation'), - data: zInvocationNodeData, + data: zInvocationNodeDataV2, width: zDimension, height: zDimension, position: zPosition, @@ -1230,6 +1345,8 @@ export type WorkflowWarning = { data: JsonObject; }; +const CURRENT_WORKFLOW_VERSION = '1.0.0'; + export const zWorkflow = z.object({ name: z.string().default(''), author: z.string().default(''), @@ -1245,7 +1362,7 @@ export const zWorkflow = z.object({ .object({ version: zSemVer, }) - .default({ version: '1.0.0' }), + .default({ version: CURRENT_WORKFLOW_VERSION }), }); export const zValidatedWorkflow = zWorkflow.transform((workflow) => { @@ -1258,23 +1375,35 @@ export const zValidatedWorkflow = zWorkflow.transform((workflow) => { const targetNode = keyedNodes[edge.target]; const issues: string[] = []; if (!sourceNode) { - issues.push(`Output node ${edge.source} does not exist`); + issues.push( + `${i18n.t('nodes.outputNode')} ${edge.source} ${i18n.t( + 'nodes.doesNotExist' + )}` + ); } else if ( edge.type === 'default' && !(edge.sourceHandle in sourceNode.data.outputs) ) { issues.push( - `Output field "${edge.source}.${edge.sourceHandle}" does not exist` + `${i18n.t('nodes.outputField')}"${edge.source}.${ + edge.sourceHandle + }" ${i18n.t('nodes.doesNotExist')}` ); } if (!targetNode) { - issues.push(`Input node ${edge.target} does not exist`); + issues.push( + `${i18n.t('nodes.inputNode')} ${edge.target} ${i18n.t( + 'nodes.doesNotExist' + )}` + ); } else if ( edge.type === 'default' && !(edge.targetHandle in targetNode.data.inputs) ) { issues.push( - `Input field "${edge.target}.${edge.targetHandle}" does not exist` + `${i18n.t('nodes.inputField')} "${edge.target}.${ + edge.targetHandle + }" ${i18n.t('nodes.doesNotExist')}` ); } if (issues.length) { @@ -1282,7 +1411,9 @@ export const zValidatedWorkflow = zWorkflow.transform((workflow) => { const src = edge.type === 'default' ? edge.sourceHandle : edge.source; const tgt = edge.type === 'default' ? edge.targetHandle : edge.target; warnings.push({ - message: `Edge "${src} -> ${tgt}" skipped`, + message: `${i18n.t('nodes.edge')} "${src} -> ${tgt}" ${i18n.t( + 'nodes.skipped' + )}`, issues, data: edge, }); diff --git a/invokeai/frontend/web/src/features/nodes/util/buildWorkflow.ts b/invokeai/frontend/web/src/features/nodes/util/buildWorkflow.ts index b0ade42a9f..43ee75b735 100644 --- a/invokeai/frontend/web/src/features/nodes/util/buildWorkflow.ts +++ b/invokeai/frontend/web/src/features/nodes/util/buildWorkflow.ts @@ -3,6 +3,7 @@ import { NodesState } from '../store/types'; import { Workflow, zWorkflowEdge, zWorkflowNode } from '../types/types'; import { fromZodError } from 'zod-validation-error'; import { parseify } from 'common/util/serialize'; +import i18n from 'i18next'; export const buildWorkflow = (nodesState: NodesState): Workflow => { const { workflow: workflowMeta, nodes, edges } = nodesState; @@ -20,7 +21,7 @@ export const buildWorkflow = (nodesState: NodesState): Workflow => { const result = zWorkflowNode.safeParse(node); if (!result.success) { const { message } = fromZodError(result.error, { - prefix: 'Unable to parse node', + prefix: i18n.t('nodes.unableToParseNode'), }); logger('nodes').warn({ node: parseify(node) }, message); return; @@ -32,7 +33,7 @@ export const buildWorkflow = (nodesState: NodesState): Workflow => { const result = zWorkflowEdge.safeParse(edge); if (!result.success) { const { message } = fromZodError(result.error, { - prefix: 'Unable to parse edge', + prefix: i18n.t('nodes.unableToParseEdge'), }); logger('nodes').warn({ edge: parseify(edge) }, message); return; diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts index 20463f37f6..cf5f7c5523 100644 --- a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts +++ b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts @@ -60,6 +60,10 @@ import { ImageField, LatentsField, ConditioningField, + IPAdapterInputFieldTemplate, + IPAdapterModelInputFieldTemplate, + BoardInputFieldTemplate, + InputFieldTemplate, } from '../types/types'; import { ControlField } from 'services/api/types'; @@ -435,6 +439,32 @@ const buildControlNetModelInputFieldTemplate = ({ return template; }; +const buildIPAdapterModelInputFieldTemplate = ({ + schemaObject, + baseField, +}: BuildInputFieldArg): IPAdapterModelInputFieldTemplate => { + const template: IPAdapterModelInputFieldTemplate = { + ...baseField, + type: 'IPAdapterModelField', + default: schemaObject.default ?? undefined, + }; + + return template; +}; + +const buildBoardInputFieldTemplate = ({ + schemaObject, + baseField, +}: BuildInputFieldArg): BoardInputFieldTemplate => { + const template: BoardInputFieldTemplate = { + ...baseField, + type: 'BoardField', + default: schemaObject.default ?? undefined, + }; + + return template; +}; + const buildImageInputFieldTemplate = ({ schemaObject, baseField, @@ -648,6 +678,19 @@ const buildControlCollectionInputFieldTemplate = ({ return template; }; +const buildIPAdapterInputFieldTemplate = ({ + schemaObject, + baseField, +}: BuildInputFieldArg): IPAdapterInputFieldTemplate => { + const template: IPAdapterInputFieldTemplate = { + ...baseField, + type: 'IPAdapterField', + default: schemaObject.default ?? undefined, + }; + + return template; +}; + const buildEnumInputFieldTemplate = ({ schemaObject, baseField, @@ -656,8 +699,8 @@ const buildEnumInputFieldTemplate = ({ const template: EnumInputFieldTemplate = { ...baseField, type: 'enum', - enumType: (schemaObject.type as 'string' | 'number') ?? 'string', // TODO: dangerous? - options: options, + options, + ui_choice_labels: schemaObject.ui_choice_labels, default: schemaObject.default ?? options[0], }; @@ -823,7 +866,10 @@ export const getFieldType = ( return; }; -const TEMPLATE_BUILDER_MAP = { +const TEMPLATE_BUILDER_MAP: { + [key in FieldType]?: (arg: BuildInputFieldArg) => InputFieldTemplate; +} = { + BoardField: buildBoardInputFieldTemplate, boolean: buildBooleanInputFieldTemplate, BooleanCollection: buildBooleanCollectionInputFieldTemplate, BooleanPolymorphic: buildBooleanPolymorphicInputFieldTemplate, @@ -851,6 +897,8 @@ const TEMPLATE_BUILDER_MAP = { integer: buildIntegerInputFieldTemplate, IntegerCollection: buildIntegerCollectionInputFieldTemplate, IntegerPolymorphic: buildIntegerPolymorphicInputFieldTemplate, + IPAdapterField: buildIPAdapterInputFieldTemplate, + IPAdapterModelField: buildIPAdapterModelInputFieldTemplate, LatentsCollection: buildLatentsCollectionInputFieldTemplate, LatentsField: buildLatentsInputFieldTemplate, LatentsPolymorphic: buildLatentsPolymorphicInputFieldTemplate, @@ -907,7 +955,13 @@ export const buildInputFieldTemplate = ( return; } - return TEMPLATE_BUILDER_MAP[fieldType]({ + const builder = TEMPLATE_BUILDER_MAP[fieldType]; + + if (!builder) { + return; + } + + return builder({ schemaObject: fieldSchema, baseField, }); diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts index a3046feee7..9c90595c70 100644 --- a/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts +++ b/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts @@ -1,8 +1,10 @@ -import { InputFieldTemplate, InputFieldValue } from '../types/types'; +import { FieldType, InputFieldTemplate, InputFieldValue } from '../types/types'; -const FIELD_VALUE_FALLBACK_MAP = { - 'enum.number': 0, - 'enum.string': '', +const FIELD_VALUE_FALLBACK_MAP: { + [key in FieldType]: InputFieldValue['value']; +} = { + enum: '', + BoardField: undefined, boolean: false, BooleanCollection: [], BooleanPolymorphic: false, @@ -29,6 +31,8 @@ const FIELD_VALUE_FALLBACK_MAP = { integer: 0, IntegerCollection: [], IntegerPolymorphic: 0, + IPAdapterField: undefined, + IPAdapterModelField: undefined, LatentsCollection: [], LatentsField: undefined, LatentsPolymorphic: undefined, @@ -62,19 +66,8 @@ export const buildInputFieldValue = ( fieldKind: 'input', } as InputFieldValue; - if (template.type === 'enum') { - if (template.enumType === 'number') { - fieldValue.value = - template.default ?? FIELD_VALUE_FALLBACK_MAP['enum.number']; - } - if (template.enumType === 'string') { - fieldValue.value = - template.default ?? FIELD_VALUE_FALLBACK_MAP['enum.string']; - } - } else { - fieldValue.value = - template.default ?? FIELD_VALUE_FALLBACK_MAP[template.type]; - } + fieldValue.value = + template.default ?? FIELD_VALUE_FALLBACK_MAP[template.type]; return fieldValue; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addControlNetToLinearGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addControlNetToLinearGraph.ts index 491c6547ba..1df90624ef 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addControlNetToLinearGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addControlNetToLinearGraph.ts @@ -8,7 +8,11 @@ import { MetadataAccumulatorInvocation, } from 'services/api/types'; import { NonNullableGraph } from '../../types/types'; -import { CONTROL_NET_COLLECT, METADATA_ACCUMULATOR } from './constants'; +import { + CANVAS_COHERENCE_DENOISE_LATENTS, + CONTROL_NET_COLLECT, + METADATA_ACCUMULATOR, +} from './constants'; export const addControlNetToLinearGraph = ( state: RootState, @@ -100,6 +104,16 @@ export const addControlNetToLinearGraph = ( field: 'item', }, }); + + if (CANVAS_COHERENCE_DENOISE_LATENTS in graph.nodes) { + graph.edges.push({ + source: { node_id: controlNetNode.id, field: 'control' }, + destination: { + node_id: CANVAS_COHERENCE_DENOISE_LATENTS, + field: 'control', + }, + }); + } }); } } diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addDynamicPromptsToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addDynamicPromptsToGraph.ts deleted file mode 100644 index acb091a06b..0000000000 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addDynamicPromptsToGraph.ts +++ /dev/null @@ -1,209 +0,0 @@ -import { RootState } from 'app/store/store'; -import { NonNullableGraph } from 'features/nodes/types/types'; -import { unset } from 'lodash-es'; -import { - DynamicPromptInvocation, - IterateInvocation, - MetadataAccumulatorInvocation, - NoiseInvocation, - RandomIntInvocation, - RangeOfSizeInvocation, -} from 'services/api/types'; -import { - DYNAMIC_PROMPT, - ITERATE, - METADATA_ACCUMULATOR, - NOISE, - POSITIVE_CONDITIONING, - RANDOM_INT, - RANGE_OF_SIZE, -} from './constants'; - -export const addDynamicPromptsToGraph = ( - state: RootState, - graph: NonNullableGraph -): void => { - const { positivePrompt, iterations, seed, shouldRandomizeSeed } = - state.generation; - - const { - combinatorial, - isEnabled: isDynamicPromptsEnabled, - maxPrompts, - } = state.dynamicPrompts; - - const metadataAccumulator = graph.nodes[METADATA_ACCUMULATOR] as - | MetadataAccumulatorInvocation - | undefined; - - if (isDynamicPromptsEnabled) { - // iteration is handled via dynamic prompts - unset(graph.nodes[POSITIVE_CONDITIONING], 'prompt'); - - const dynamicPromptNode: DynamicPromptInvocation = { - id: DYNAMIC_PROMPT, - type: 'dynamic_prompt', - is_intermediate: true, - max_prompts: combinatorial ? maxPrompts : iterations, - combinatorial, - prompt: positivePrompt, - }; - - const iterateNode: IterateInvocation = { - id: ITERATE, - type: 'iterate', - is_intermediate: true, - }; - - graph.nodes[DYNAMIC_PROMPT] = dynamicPromptNode; - graph.nodes[ITERATE] = iterateNode; - - // connect dynamic prompts to compel nodes - graph.edges.push( - { - source: { - node_id: DYNAMIC_PROMPT, - field: 'collection', - }, - destination: { - node_id: ITERATE, - field: 'collection', - }, - }, - { - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: POSITIVE_CONDITIONING, - field: 'prompt', - }, - } - ); - - // hook up positive prompt to metadata - if (metadataAccumulator) { - graph.edges.push({ - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: METADATA_ACCUMULATOR, - field: 'positive_prompt', - }, - }); - } - - if (shouldRandomizeSeed) { - // Random int node to generate the starting seed - const randomIntNode: RandomIntInvocation = { - id: RANDOM_INT, - type: 'rand_int', - is_intermediate: true, - }; - - graph.nodes[RANDOM_INT] = randomIntNode; - - // Connect random int to the start of the range of size so the range starts on the random first seed - graph.edges.push({ - source: { node_id: RANDOM_INT, field: 'value' }, - destination: { node_id: NOISE, field: 'seed' }, - }); - - if (metadataAccumulator) { - graph.edges.push({ - source: { node_id: RANDOM_INT, field: 'value' }, - destination: { node_id: METADATA_ACCUMULATOR, field: 'seed' }, - }); - } - } else { - // User specified seed, so set the start of the range of size to the seed - (graph.nodes[NOISE] as NoiseInvocation).seed = seed; - - // hook up seed to metadata - if (metadataAccumulator) { - metadataAccumulator.seed = seed; - } - } - } else { - // no dynamic prompt - hook up positive prompt - if (metadataAccumulator) { - metadataAccumulator.positive_prompt = positivePrompt; - } - - const rangeOfSizeNode: RangeOfSizeInvocation = { - id: RANGE_OF_SIZE, - type: 'range_of_size', - is_intermediate: true, - size: iterations, - step: 1, - }; - - const iterateNode: IterateInvocation = { - id: ITERATE, - type: 'iterate', - is_intermediate: true, - }; - - graph.nodes[ITERATE] = iterateNode; - graph.nodes[RANGE_OF_SIZE] = rangeOfSizeNode; - - graph.edges.push({ - source: { - node_id: RANGE_OF_SIZE, - field: 'collection', - }, - destination: { - node_id: ITERATE, - field: 'collection', - }, - }); - - graph.edges.push({ - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: NOISE, - field: 'seed', - }, - }); - - // hook up seed to metadata - if (metadataAccumulator) { - graph.edges.push({ - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: METADATA_ACCUMULATOR, - field: 'seed', - }, - }); - } - // handle seed - if (shouldRandomizeSeed) { - // Random int node to generate the starting seed - const randomIntNode: RandomIntInvocation = { - id: RANDOM_INT, - type: 'rand_int', - is_intermediate: true, - }; - - graph.nodes[RANDOM_INT] = randomIntNode; - - // Connect random int to the start of the range of size so the range starts on the random first seed - graph.edges.push({ - source: { node_id: RANDOM_INT, field: 'value' }, - destination: { node_id: RANGE_OF_SIZE, field: 'start' }, - }); - } else { - // User specified seed, so set the start of the range of size to the seed - rangeOfSizeNode.start = seed; - } - } -}; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addIPAdapterToLinearGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addIPAdapterToLinearGraph.ts new file mode 100644 index 0000000000..d645b274ec --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addIPAdapterToLinearGraph.ts @@ -0,0 +1,69 @@ +import { RootState } from 'app/store/store'; +import { IPAdapterInvocation } from 'services/api/types'; +import { NonNullableGraph } from '../../types/types'; +import { CANVAS_COHERENCE_DENOISE_LATENTS, IP_ADAPTER } from './constants'; + +export const addIPAdapterToLinearGraph = ( + state: RootState, + graph: NonNullableGraph, + baseNodeId: string +): void => { + const { isIPAdapterEnabled, ipAdapterInfo } = state.controlNet; + + // const metadataAccumulator = graph.nodes[METADATA_ACCUMULATOR] as + // | MetadataAccumulatorInvocation + // | undefined; + + if (isIPAdapterEnabled && ipAdapterInfo.model) { + const ipAdapterNode: IPAdapterInvocation = { + id: IP_ADAPTER, + type: 'ip_adapter', + is_intermediate: true, + weight: ipAdapterInfo.weight, + ip_adapter_model: { + base_model: ipAdapterInfo.model?.base_model, + model_name: ipAdapterInfo.model?.model_name, + }, + begin_step_percent: ipAdapterInfo.beginStepPct, + end_step_percent: ipAdapterInfo.endStepPct, + }; + + if (ipAdapterInfo.adapterImage) { + ipAdapterNode.image = { + image_name: ipAdapterInfo.adapterImage.image_name, + }; + } else { + return; + } + + graph.nodes[ipAdapterNode.id] = ipAdapterNode as IPAdapterInvocation; + + // if (metadataAccumulator?.ip_adapters) { + // // metadata accumulator only needs the ip_adapter field - not the whole node + // // extract what we need and add to the accumulator + // const ipAdapterField = omit(ipAdapterNode, [ + // 'id', + // 'type', + // ]) as IPAdapterField; + // metadataAccumulator.ip_adapters.push(ipAdapterField); + // } + + graph.edges.push({ + source: { node_id: ipAdapterNode.id, field: 'ip_adapter' }, + destination: { + node_id: baseNodeId, + field: 'ip_adapter', + }, + }); + + if (CANVAS_COHERENCE_DENOISE_LATENTS in graph.nodes) { + graph.edges.push({ + source: { node_id: ipAdapterNode.id, field: 'ip_adapter' }, + destination: { + node_id: CANVAS_COHERENCE_DENOISE_LATENTS, + field: 'ip_adapter', + }, + }); + } + } +}; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts index 3291348d0a..94fddccc8f 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts @@ -1,46 +1,32 @@ import { RootState } from 'app/store/store'; import { NonNullableGraph } from 'features/nodes/types/types'; -import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; import { ImageNSFWBlurInvocation, LatentsToImageInvocation, - MetadataAccumulatorInvocation, } from 'services/api/types'; -import { - LATENTS_TO_IMAGE, - METADATA_ACCUMULATOR, - NSFW_CHECKER, -} from './constants'; +import { LATENTS_TO_IMAGE, NSFW_CHECKER } from './constants'; export const addNSFWCheckerToGraph = ( state: RootState, graph: NonNullableGraph, nodeIdToAddTo = LATENTS_TO_IMAGE ): void => { - const activeTabName = activeTabNameSelector(state); - - const is_intermediate = - activeTabName === 'unifiedCanvas' ? !state.canvas.shouldAutoSave : false; - const nodeToAddTo = graph.nodes[nodeIdToAddTo] as | LatentsToImageInvocation | undefined; - const metadataAccumulator = graph.nodes[METADATA_ACCUMULATOR] as - | MetadataAccumulatorInvocation - | undefined; - if (!nodeToAddTo) { // something has gone terribly awry return; } nodeToAddTo.is_intermediate = true; + nodeToAddTo.use_cache = true; const nsfwCheckerNode: ImageNSFWBlurInvocation = { id: NSFW_CHECKER, type: 'img_nsfw', - is_intermediate, + is_intermediate: true, }; graph.nodes[NSFW_CHECKER] = nsfwCheckerNode as ImageNSFWBlurInvocation; @@ -54,17 +40,4 @@ export const addNSFWCheckerToGraph = ( field: 'image', }, }); - - if (metadataAccumulator) { - graph.edges.push({ - source: { - node_id: METADATA_ACCUMULATOR, - field: 'metadata', - }, - destination: { - node_id: NSFW_CHECKER, - field: 'metadata', - }, - }); - } }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts index 0daca1f310..6bd44db197 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts @@ -25,7 +25,7 @@ import { SDXL_REFINER_POSITIVE_CONDITIONING, SDXL_REFINER_SEAMLESS, } from './constants'; -import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt'; +import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt'; export const addSDXLRefinerToGraph = ( state: RootState, @@ -78,8 +78,8 @@ export const addSDXLRefinerToGraph = ( : SDXL_MODEL_LOADER; // Construct Style Prompt - const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } = - craftSDXLStylePrompt(state, true); + const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } = + buildSDXLStylePrompts(state, true); // Unplug SDXL Latents Generation To Latents To Image graph.edges = graph.edges.filter( @@ -100,13 +100,13 @@ export const addSDXLRefinerToGraph = ( graph.nodes[SDXL_REFINER_POSITIVE_CONDITIONING] = { type: 'sdxl_refiner_compel_prompt', id: SDXL_REFINER_POSITIVE_CONDITIONING, - style: craftedPositiveStylePrompt, + style: joinedPositiveStylePrompt, aesthetic_score: refinerPositiveAestheticScore, }; graph.nodes[SDXL_REFINER_NEGATIVE_CONDITIONING] = { type: 'sdxl_refiner_compel_prompt', id: SDXL_REFINER_NEGATIVE_CONDITIONING, - style: craftedNegativeStylePrompt, + style: joinedNegativeStylePrompt, aesthetic_score: refinerNegativeAestheticScore, }; graph.nodes[SDXL_REFINER_DENOISE_LATENTS] = { diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSaveImageNode.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSaveImageNode.ts new file mode 100644 index 0000000000..738c69faff --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSaveImageNode.ts @@ -0,0 +1,94 @@ +import { NonNullableGraph } from 'features/nodes/types/types'; +import { + CANVAS_OUTPUT, + LATENTS_TO_IMAGE, + METADATA_ACCUMULATOR, + NSFW_CHECKER, + SAVE_IMAGE, + WATERMARKER, +} from './constants'; +import { + MetadataAccumulatorInvocation, + SaveImageInvocation, +} from 'services/api/types'; +import { RootState } from 'app/store/store'; +import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; + +/** + * Set the `use_cache` field on the linear/canvas graph's final image output node to False. + */ +export const addSaveImageNode = ( + state: RootState, + graph: NonNullableGraph +): void => { + const activeTabName = activeTabNameSelector(state); + const is_intermediate = + activeTabName === 'unifiedCanvas' ? !state.canvas.shouldAutoSave : false; + const { autoAddBoardId } = state.gallery; + + const saveImageNode: SaveImageInvocation = { + id: SAVE_IMAGE, + type: 'save_image', + is_intermediate, + use_cache: false, + board: autoAddBoardId === 'none' ? undefined : { board_id: autoAddBoardId }, + }; + + graph.nodes[SAVE_IMAGE] = saveImageNode; + + const metadataAccumulator = graph.nodes[METADATA_ACCUMULATOR] as + | MetadataAccumulatorInvocation + | undefined; + + if (metadataAccumulator) { + graph.edges.push({ + source: { + node_id: METADATA_ACCUMULATOR, + field: 'metadata', + }, + destination: { + node_id: SAVE_IMAGE, + field: 'metadata', + }, + }); + } + + const destination = { + node_id: SAVE_IMAGE, + field: 'image', + }; + + if (WATERMARKER in graph.nodes) { + graph.edges.push({ + source: { + node_id: WATERMARKER, + field: 'image', + }, + destination, + }); + } else if (NSFW_CHECKER in graph.nodes) { + graph.edges.push({ + source: { + node_id: NSFW_CHECKER, + field: 'image', + }, + destination, + }); + } else if (CANVAS_OUTPUT in graph.nodes) { + graph.edges.push({ + source: { + node_id: CANVAS_OUTPUT, + field: 'image', + }, + destination, + }); + } else if (LATENTS_TO_IMAGE in graph.nodes) { + graph.edges.push({ + source: { + node_id: LATENTS_TO_IMAGE, + field: 'image', + }, + destination, + }); + } +}; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addWatermarkerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addWatermarkerToGraph.ts index f2e8a0aeca..4e515906b6 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addWatermarkerToGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addWatermarkerToGraph.ts @@ -51,6 +51,7 @@ export const addWatermarkerToGraph = ( // no matter the situation, we want the l2i node to be intermediate nodeToAddTo.is_intermediate = true; + nodeToAddTo.use_cache = true; if (nsfwCheckerNode) { // if we are using NSFW checker, we need to "disable" it output by marking it intermediate, diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildAdHocUpscaleGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildAdHocUpscaleGraph.ts index 10e3ba5152..c612e88598 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildAdHocUpscaleGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildAdHocUpscaleGraph.ts @@ -1,31 +1,58 @@ import { NonNullableGraph } from 'features/nodes/types/types'; import { ESRGANModelName } from 'features/parameters/store/postprocessingSlice'; -import { Graph, ESRGANInvocation } from 'services/api/types'; -import { REALESRGAN as ESRGAN } from './constants'; +import { + Graph, + ESRGANInvocation, + SaveImageInvocation, +} from 'services/api/types'; +import { REALESRGAN as ESRGAN, SAVE_IMAGE } from './constants'; +import { BoardId } from 'features/gallery/store/types'; type Arg = { image_name: string; esrganModelName: ESRGANModelName; + autoAddBoardId: BoardId; }; export const buildAdHocUpscaleGraph = ({ image_name, esrganModelName, + autoAddBoardId, }: Arg): Graph => { const realesrganNode: ESRGANInvocation = { id: ESRGAN, type: 'esrgan', image: { image_name }, model_name: esrganModelName, + is_intermediate: true, + }; + + const saveImageNode: SaveImageInvocation = { + id: SAVE_IMAGE, + type: 'save_image', + use_cache: false, is_intermediate: false, + board: autoAddBoardId === 'none' ? undefined : { board_id: autoAddBoardId }, }; const graph: NonNullableGraph = { id: `adhoc-esrgan-graph`, nodes: { [ESRGAN]: realesrganNode, + [SAVE_IMAGE]: saveImageNode, }, - edges: [], + edges: [ + { + source: { + node_id: ESRGAN, + field: 'image', + }, + destination: { + node_id: SAVE_IMAGE, + field: 'image', + }, + }, + ], }; return graph; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts index e750b40220..4dbbac9f96 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts @@ -1,12 +1,12 @@ import { logger } from 'app/logging/logger'; import { RootState } from 'app/store/store'; import { NonNullableGraph } from 'features/nodes/types/types'; -import { initialGenerationState } from 'features/parameters/store/generationSlice'; import { ImageDTO, ImageToLatentsInvocation } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; -import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addLoRAsToGraph } from './addLoRAsToGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -40,12 +40,12 @@ export const buildCanvasImageToImageGraph = ( model, cfgScale: cfg_scale, scheduler, + seed, steps, img2imgStrength: strength, vaePrecision, clipSkip, shouldUseCpuNoise, - shouldUseNoiseSettings, seamlessXAxis, seamlessYAxis, } = state.generation; @@ -53,14 +53,10 @@ export const buildCanvasImageToImageGraph = ( // The bounding box determines width and height, not the width and height params const { width, height } = state.canvas.boundingBoxDimensions; - const { - scaledBoundingBoxDimensions, - boundingBoxScaleMethod, - shouldAutoSave, - } = state.canvas; + const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas; const fp32 = vaePrecision === 'fp32'; - + const is_intermediate = true; const isUsingScaledDimensions = ['auto', 'manual'].includes( boundingBoxScaleMethod ); @@ -72,9 +68,7 @@ export const buildCanvasImageToImageGraph = ( let modelLoaderNodeId = MAIN_MODEL_LOADER; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : initialGenerationState.shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; /** * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the @@ -92,32 +86,33 @@ export const buildCanvasImageToImageGraph = ( [modelLoaderNodeId]: { type: 'main_model_loader', id: modelLoaderNodeId, - is_intermediate: true, + is_intermediate, model, }, [CLIP_SKIP]: { type: 'clip_skip', id: CLIP_SKIP, - is_intermediate: true, + is_intermediate, skipped_layers: clipSkip, }, [POSITIVE_CONDITIONING]: { type: 'compel', id: POSITIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: positivePrompt, }, [NEGATIVE_CONDITIONING]: { type: 'compel', id: NEGATIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: negativePrompt, }, [NOISE]: { type: 'noise', id: NOISE, - is_intermediate: true, + is_intermediate, use_cpu, + seed, width: !isUsingScaledDimensions ? width : scaledBoundingBoxDimensions.width, @@ -128,12 +123,12 @@ export const buildCanvasImageToImageGraph = ( [IMAGE_TO_LATENTS]: { type: 'i2l', id: IMAGE_TO_LATENTS, - is_intermediate: true, + is_intermediate, }, [DENOISE_LATENTS]: { type: 'denoise_latents', id: DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, cfg_scale, scheduler, steps, @@ -143,7 +138,7 @@ export const buildCanvasImageToImageGraph = ( [CANVAS_OUTPUT]: { type: 'l2i', id: CANVAS_OUTPUT, - is_intermediate: !shouldAutoSave, + is_intermediate, }, }, edges: [ @@ -238,7 +233,7 @@ export const buildCanvasImageToImageGraph = ( graph.nodes[IMG2IMG_RESIZE] = { id: IMG2IMG_RESIZE, type: 'img_resize', - is_intermediate: true, + is_intermediate, image: initialImage, width: scaledBoundingBoxDimensions.width, height: scaledBoundingBoxDimensions.height, @@ -246,13 +241,13 @@ export const buildCanvasImageToImageGraph = ( graph.nodes[LATENTS_TO_IMAGE] = { id: LATENTS_TO_IMAGE, type: 'l2i', - is_intermediate: true, + is_intermediate, fp32, }; graph.nodes[CANVAS_OUTPUT] = { id: CANVAS_OUTPUT, type: 'img_resize', - is_intermediate: !shouldAutoSave, + is_intermediate, width: width, height: height, }; @@ -293,7 +288,7 @@ export const buildCanvasImageToImageGraph = ( graph.nodes[CANVAS_OUTPUT] = { type: 'l2i', id: CANVAS_OUTPUT, - is_intermediate: !shouldAutoSave, + is_intermediate, fp32, }; @@ -322,10 +317,10 @@ export const buildCanvasImageToImageGraph = ( height: !isUsingScaledDimensions ? height : scaledBoundingBoxDimensions.height, - positive_prompt: '', // set in addDynamicPromptsToGraph + positive_prompt: positivePrompt, negative_prompt: negativePrompt, model, - seed: 0, // set in addDynamicPromptsToGraph + seed, steps, rand_device: use_cpu ? 'cpu' : 'cuda', scheduler, @@ -337,17 +332,6 @@ export const buildCanvasImageToImageGraph = ( init_image: initialImage.image_name, }; - graph.edges.push({ - source: { - node_id: METADATA_ACCUMULATOR, - field: 'metadata', - }, - destination: { - node_id: CANVAS_OUTPUT, - field: 'metadata', - }, - }); - // Add Seamless To Graph if (seamlessXAxis || seamlessYAxis) { addSeamlessToLinearGraph(state, graph, modelLoaderNodeId); @@ -360,12 +344,12 @@ export const buildCanvasImageToImageGraph = ( // optionally add custom VAE addVAEToGraph(state, graph, modelLoaderNodeId); - // add dynamic prompts - also sets up core iteration and seed - addDynamicPromptsToGraph(state, graph); - // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, DENOISE_LATENTS); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -377,5 +361,7 @@ export const buildCanvasImageToImageGraph = ( addWatermarkerToGraph(state, graph, CANVAS_OUTPUT); } + addSaveImageNode(state, graph); + return graph; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts index 58a7726410..de7620bc7e 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts @@ -8,10 +8,9 @@ import { ImageToLatentsInvocation, MaskEdgeInvocation, NoiseInvocation, - RandomIntInvocation, - RangeOfSizeInvocation, } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addLoRAsToGraph } from './addLoRAsToGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; @@ -31,7 +30,6 @@ import { INPAINT_IMAGE, INPAINT_IMAGE_RESIZE_DOWN, INPAINT_IMAGE_RESIZE_UP, - ITERATE, LATENTS_TO_IMAGE, MAIN_MODEL_LOADER, MASK_BLUR, @@ -40,10 +38,9 @@ import { NEGATIVE_CONDITIONING, NOISE, POSITIVE_CONDITIONING, - RANDOM_INT, - RANGE_OF_SIZE, SEAMLESS, } from './constants'; +import { addSaveImageNode } from './addSaveImageNode'; /** * Builds the Canvas tab's Inpaint graph. @@ -62,11 +59,8 @@ export const buildCanvasInpaintGraph = ( scheduler, steps, img2imgStrength: strength, - iterations, seed, - shouldRandomizeSeed, vaePrecision, - shouldUseNoiseSettings, shouldUseCpuNoise, maskBlur, maskBlurMethod, @@ -79,20 +73,16 @@ export const buildCanvasInpaintGraph = ( } = state.generation; if (!model) { - log.error('No model found in state'); - throw new Error('No model found in state'); + log.error('No Image found in state'); + throw new Error('No Image found in state'); } // The bounding box determines width and height, not the width and height params const { width, height } = state.canvas.boundingBoxDimensions; // We may need to set the inpaint width and height to scale the image - const { - scaledBoundingBoxDimensions, - boundingBoxScaleMethod, - shouldAutoSave, - } = state.canvas; - + const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas; + const is_intermediate = true; const fp32 = vaePrecision === 'fp32'; const isUsingScaledDimensions = ['auto', 'manual'].includes( @@ -101,9 +91,7 @@ export const buildCanvasInpaintGraph = ( let modelLoaderNodeId = MAIN_MODEL_LOADER; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; const graph: NonNullableGraph = { id: CANVAS_INPAINT_GRAPH, @@ -111,56 +99,57 @@ export const buildCanvasInpaintGraph = ( [modelLoaderNodeId]: { type: 'main_model_loader', id: modelLoaderNodeId, - is_intermediate: true, + is_intermediate, model, }, [CLIP_SKIP]: { type: 'clip_skip', id: CLIP_SKIP, - is_intermediate: true, + is_intermediate, skipped_layers: clipSkip, }, [POSITIVE_CONDITIONING]: { type: 'compel', id: POSITIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: positivePrompt, }, [NEGATIVE_CONDITIONING]: { type: 'compel', id: NEGATIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: negativePrompt, }, [MASK_BLUR]: { type: 'img_blur', id: MASK_BLUR, - is_intermediate: true, + is_intermediate, radius: maskBlur, blur_type: maskBlurMethod, }, [INPAINT_IMAGE]: { type: 'i2l', id: INPAINT_IMAGE, - is_intermediate: true, + is_intermediate, fp32, }, [NOISE]: { type: 'noise', id: NOISE, use_cpu, - is_intermediate: true, + seed, + is_intermediate, }, [INPAINT_CREATE_MASK]: { type: 'create_denoise_mask', id: INPAINT_CREATE_MASK, - is_intermediate: true, + is_intermediate, fp32, }, [DENOISE_LATENTS]: { type: 'denoise_latents', id: DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, steps: steps, cfg_scale: cfg_scale, scheduler: scheduler, @@ -169,20 +158,21 @@ export const buildCanvasInpaintGraph = ( }, [CANVAS_COHERENCE_NOISE]: { type: 'noise', - id: NOISE, + id: CANVAS_COHERENCE_NOISE, use_cpu, - is_intermediate: true, + seed: seed + 1, + is_intermediate, }, [CANVAS_COHERENCE_NOISE_INCREMENT]: { type: 'add', id: CANVAS_COHERENCE_NOISE_INCREMENT, b: 1, - is_intermediate: true, + is_intermediate, }, [CANVAS_COHERENCE_DENOISE_LATENTS]: { type: 'denoise_latents', id: CANVAS_COHERENCE_DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, steps: canvasCoherenceSteps, cfg_scale: cfg_scale, scheduler: scheduler, @@ -192,29 +182,15 @@ export const buildCanvasInpaintGraph = ( [LATENTS_TO_IMAGE]: { type: 'l2i', id: LATENTS_TO_IMAGE, - is_intermediate: true, + is_intermediate, fp32, }, [CANVAS_OUTPUT]: { type: 'color_correct', id: CANVAS_OUTPUT, - is_intermediate: !shouldAutoSave, + is_intermediate, reference: canvasInitImage, }, - [RANGE_OF_SIZE]: { - type: 'range_of_size', - id: RANGE_OF_SIZE, - is_intermediate: true, - // seed - must be connected manually - // start: 0, - size: iterations, - step: 1, - }, - [ITERATE]: { - type: 'iterate', - id: ITERATE, - is_intermediate: true, - }, }, edges: [ // Connect Model Loader to CLIP Skip and UNet @@ -321,48 +297,7 @@ export const buildCanvasInpaintGraph = ( field: 'denoise_mask', }, }, - // Iterate - { - source: { - node_id: RANGE_OF_SIZE, - field: 'collection', - }, - destination: { - node_id: ITERATE, - field: 'collection', - }, - }, - { - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: NOISE, - field: 'seed', - }, - }, // Canvas Refine - { - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: CANVAS_COHERENCE_NOISE_INCREMENT, - field: 'a', - }, - }, - { - source: { - node_id: CANVAS_COHERENCE_NOISE_INCREMENT, - field: 'value', - }, - destination: { - node_id: CANVAS_COHERENCE_NOISE, - field: 'seed', - }, - }, { source: { node_id: modelLoaderNodeId, @@ -436,7 +371,7 @@ export const buildCanvasInpaintGraph = ( graph.nodes[INPAINT_IMAGE_RESIZE_UP] = { type: 'img_resize', id: INPAINT_IMAGE_RESIZE_UP, - is_intermediate: true, + is_intermediate, width: scaledWidth, height: scaledHeight, image: canvasInitImage, @@ -444,7 +379,7 @@ export const buildCanvasInpaintGraph = ( graph.nodes[MASK_RESIZE_UP] = { type: 'img_resize', id: MASK_RESIZE_UP, - is_intermediate: true, + is_intermediate, width: scaledWidth, height: scaledHeight, image: canvasMaskImage, @@ -452,14 +387,14 @@ export const buildCanvasInpaintGraph = ( graph.nodes[INPAINT_IMAGE_RESIZE_DOWN] = { type: 'img_resize', id: INPAINT_IMAGE_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; graph.nodes[MASK_RESIZE_DOWN] = { type: 'img_resize', id: MASK_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; @@ -597,7 +532,7 @@ export const buildCanvasInpaintGraph = ( graph.nodes[CANVAS_COHERENCE_INPAINT_CREATE_MASK] = { type: 'create_denoise_mask', id: CANVAS_COHERENCE_INPAINT_CREATE_MASK, - is_intermediate: true, + is_intermediate, fp32, }; @@ -650,7 +585,7 @@ export const buildCanvasInpaintGraph = ( graph.nodes[CANVAS_COHERENCE_MASK_EDGE] = { type: 'mask_edge', id: CANVAS_COHERENCE_MASK_EDGE, - is_intermediate: true, + is_intermediate, edge_blur: maskBlur, edge_size: maskBlur * 2, low_threshold: 100, @@ -701,26 +636,6 @@ export const buildCanvasInpaintGraph = ( }); } - // Handle Seed - if (shouldRandomizeSeed) { - // Random int node to generate the starting seed - const randomIntNode: RandomIntInvocation = { - id: RANDOM_INT, - type: 'rand_int', - }; - - graph.nodes[RANDOM_INT] = randomIntNode; - - // Connect random int to the start of the range of size so the range starts on the random first seed - graph.edges.push({ - source: { node_id: RANDOM_INT, field: 'value' }, - destination: { node_id: RANGE_OF_SIZE, field: 'start' }, - }); - } else { - // User specified seed, so set the start of the range of size to the seed - (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed; - } - // Add Seamless To Graph if (seamlessXAxis || seamlessYAxis) { addSeamlessToLinearGraph(state, graph, modelLoaderNodeId); @@ -736,6 +651,9 @@ export const buildCanvasInpaintGraph = ( // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, DENOISE_LATENTS); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -747,5 +665,7 @@ export const buildCanvasInpaintGraph = ( addWatermarkerToGraph(state, graph, CANVAS_OUTPUT); } + addSaveImageNode(state, graph); + return graph; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts index 71d3492bdc..8205e477ec 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts @@ -7,12 +7,12 @@ import { InfillPatchMatchInvocation, InfillTileInvocation, NoiseInvocation, - RandomIntInvocation, - RangeOfSizeInvocation, } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addLoRAsToGraph } from './addLoRAsToGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -32,7 +32,6 @@ import { INPAINT_IMAGE_RESIZE_UP, INPAINT_INFILL, INPAINT_INFILL_RESIZE_DOWN, - ITERATE, LATENTS_TO_IMAGE, MAIN_MODEL_LOADER, MASK_COMBINE, @@ -42,8 +41,6 @@ import { NEGATIVE_CONDITIONING, NOISE, POSITIVE_CONDITIONING, - RANDOM_INT, - RANGE_OF_SIZE, SEAMLESS, } from './constants'; @@ -64,11 +61,8 @@ export const buildCanvasOutpaintGraph = ( scheduler, steps, img2imgStrength: strength, - iterations, seed, - shouldRandomizeSeed, vaePrecision, - shouldUseNoiseSettings, shouldUseCpuNoise, maskBlur, canvasCoherenceMode, @@ -91,23 +85,17 @@ export const buildCanvasOutpaintGraph = ( const { width, height } = state.canvas.boundingBoxDimensions; // We may need to set the inpaint width and height to scale the image - const { - scaledBoundingBoxDimensions, - boundingBoxScaleMethod, - shouldAutoSave, - } = state.canvas; + const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas; const fp32 = vaePrecision === 'fp32'; - + const is_intermediate = true; const isUsingScaledDimensions = ['auto', 'manual'].includes( boundingBoxScaleMethod ); let modelLoaderNodeId = MAIN_MODEL_LOADER; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; const graph: NonNullableGraph = { id: CANVAS_OUTPAINT_GRAPH, @@ -115,61 +103,62 @@ export const buildCanvasOutpaintGraph = ( [modelLoaderNodeId]: { type: 'main_model_loader', id: modelLoaderNodeId, - is_intermediate: true, + is_intermediate, model, }, [CLIP_SKIP]: { type: 'clip_skip', id: CLIP_SKIP, - is_intermediate: true, + is_intermediate, skipped_layers: clipSkip, }, [POSITIVE_CONDITIONING]: { type: 'compel', id: POSITIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: positivePrompt, }, [NEGATIVE_CONDITIONING]: { type: 'compel', id: NEGATIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: negativePrompt, }, [MASK_FROM_ALPHA]: { type: 'tomask', id: MASK_FROM_ALPHA, - is_intermediate: true, + is_intermediate, image: canvasInitImage, }, [MASK_COMBINE]: { type: 'mask_combine', id: MASK_COMBINE, - is_intermediate: true, + is_intermediate, mask2: canvasMaskImage, }, [INPAINT_IMAGE]: { type: 'i2l', id: INPAINT_IMAGE, - is_intermediate: true, + is_intermediate, fp32, }, [NOISE]: { type: 'noise', id: NOISE, use_cpu, - is_intermediate: true, + seed, + is_intermediate, }, [INPAINT_CREATE_MASK]: { type: 'create_denoise_mask', id: INPAINT_CREATE_MASK, - is_intermediate: true, + is_intermediate, fp32, }, [DENOISE_LATENTS]: { type: 'denoise_latents', id: DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, steps: steps, cfg_scale: cfg_scale, scheduler: scheduler, @@ -178,20 +167,21 @@ export const buildCanvasOutpaintGraph = ( }, [CANVAS_COHERENCE_NOISE]: { type: 'noise', - id: NOISE, + id: CANVAS_COHERENCE_NOISE, use_cpu, - is_intermediate: true, + seed: seed + 1, + is_intermediate, }, [CANVAS_COHERENCE_NOISE_INCREMENT]: { type: 'add', id: CANVAS_COHERENCE_NOISE_INCREMENT, b: 1, - is_intermediate: true, + is_intermediate, }, [CANVAS_COHERENCE_DENOISE_LATENTS]: { type: 'denoise_latents', id: CANVAS_COHERENCE_DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, steps: canvasCoherenceSteps, cfg_scale: cfg_scale, scheduler: scheduler, @@ -201,27 +191,13 @@ export const buildCanvasOutpaintGraph = ( [LATENTS_TO_IMAGE]: { type: 'l2i', id: LATENTS_TO_IMAGE, - is_intermediate: true, + is_intermediate, fp32, }, [CANVAS_OUTPUT]: { type: 'color_correct', id: CANVAS_OUTPUT, - is_intermediate: !shouldAutoSave, - }, - [RANGE_OF_SIZE]: { - type: 'range_of_size', - id: RANGE_OF_SIZE, - is_intermediate: true, - // seed - must be connected manually - // start: 0, - size: iterations, - step: 1, - }, - [ITERATE]: { - type: 'iterate', - id: ITERATE, - is_intermediate: true, + is_intermediate, }, }, edges: [ @@ -351,48 +327,7 @@ export const buildCanvasOutpaintGraph = ( field: 'denoise_mask', }, }, - // Iterate - { - source: { - node_id: RANGE_OF_SIZE, - field: 'collection', - }, - destination: { - node_id: ITERATE, - field: 'collection', - }, - }, - { - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: NOISE, - field: 'seed', - }, - }, // Canvas Refine - { - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: CANVAS_COHERENCE_NOISE_INCREMENT, - field: 'a', - }, - }, - { - source: { - node_id: CANVAS_COHERENCE_NOISE_INCREMENT, - field: 'value', - }, - destination: { - node_id: CANVAS_COHERENCE_NOISE, - field: 'seed', - }, - }, { source: { node_id: modelLoaderNodeId, @@ -472,7 +407,7 @@ export const buildCanvasOutpaintGraph = ( graph.nodes[INPAINT_INFILL] = { type: 'infill_patchmatch', id: INPAINT_INFILL, - is_intermediate: true, + is_intermediate, downscale: infillPatchmatchDownscaleSize, }; } @@ -481,7 +416,7 @@ export const buildCanvasOutpaintGraph = ( graph.nodes[INPAINT_INFILL] = { type: 'infill_lama', id: INPAINT_INFILL, - is_intermediate: true, + is_intermediate, }; } @@ -489,7 +424,7 @@ export const buildCanvasOutpaintGraph = ( graph.nodes[INPAINT_INFILL] = { type: 'infill_cv2', id: INPAINT_INFILL, - is_intermediate: true, + is_intermediate, }; } @@ -497,7 +432,7 @@ export const buildCanvasOutpaintGraph = ( graph.nodes[INPAINT_INFILL] = { type: 'infill_tile', id: INPAINT_INFILL, - is_intermediate: true, + is_intermediate, tile_size: infillTileSize, }; } @@ -511,7 +446,7 @@ export const buildCanvasOutpaintGraph = ( graph.nodes[INPAINT_IMAGE_RESIZE_UP] = { type: 'img_resize', id: INPAINT_IMAGE_RESIZE_UP, - is_intermediate: true, + is_intermediate, width: scaledWidth, height: scaledHeight, image: canvasInitImage, @@ -519,28 +454,28 @@ export const buildCanvasOutpaintGraph = ( graph.nodes[MASK_RESIZE_UP] = { type: 'img_resize', id: MASK_RESIZE_UP, - is_intermediate: true, + is_intermediate, width: scaledWidth, height: scaledHeight, }; graph.nodes[INPAINT_IMAGE_RESIZE_DOWN] = { type: 'img_resize', id: INPAINT_IMAGE_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; graph.nodes[INPAINT_INFILL_RESIZE_DOWN] = { type: 'img_resize', id: INPAINT_INFILL_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; graph.nodes[MASK_RESIZE_DOWN] = { type: 'img_resize', id: MASK_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; @@ -699,7 +634,7 @@ export const buildCanvasOutpaintGraph = ( graph.nodes[CANVAS_COHERENCE_INPAINT_CREATE_MASK] = { type: 'create_denoise_mask', id: CANVAS_COHERENCE_INPAINT_CREATE_MASK, - is_intermediate: true, + is_intermediate, fp32, }; @@ -746,7 +681,7 @@ export const buildCanvasOutpaintGraph = ( graph.nodes[CANVAS_COHERENCE_MASK_EDGE] = { type: 'mask_edge', id: CANVAS_COHERENCE_MASK_EDGE, - is_intermediate: true, + is_intermediate, edge_blur: maskBlur, edge_size: maskBlur * 2, low_threshold: 100, @@ -803,26 +738,6 @@ export const buildCanvasOutpaintGraph = ( }); } - // Handle Seed - if (shouldRandomizeSeed) { - // Random int node to generate the starting seed - const randomIntNode: RandomIntInvocation = { - id: RANDOM_INT, - type: 'rand_int', - }; - - graph.nodes[RANDOM_INT] = randomIntNode; - - // Connect random int to the start of the range of size so the range starts on the random first seed - graph.edges.push({ - source: { node_id: RANDOM_INT, field: 'value' }, - destination: { node_id: RANGE_OF_SIZE, field: 'start' }, - }); - } else { - // User specified seed, so set the start of the range of size to the seed - (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed; - } - // Add Seamless To Graph if (seamlessXAxis || seamlessYAxis) { addSeamlessToLinearGraph(state, graph, modelLoaderNodeId); @@ -838,6 +753,9 @@ export const buildCanvasOutpaintGraph = ( // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, DENOISE_LATENTS); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -849,5 +767,7 @@ export const buildCanvasOutpaintGraph = ( addWatermarkerToGraph(state, graph, CANVAS_OUTPUT); } + addSaveImageNode(state, graph); + return graph; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts index 2a677a8775..d958b78a90 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts @@ -1,13 +1,13 @@ import { logger } from 'app/logging/logger'; import { RootState } from 'app/store/store'; import { NonNullableGraph } from 'features/nodes/types/types'; -import { initialGenerationState } from 'features/parameters/store/generationSlice'; import { ImageDTO, ImageToLatentsInvocation } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; -import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph'; import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -26,7 +26,7 @@ import { SDXL_REFINER_SEAMLESS, SEAMLESS, } from './constants'; -import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt'; +import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt'; /** * Builds the Canvas tab's Image to Image graph. @@ -42,11 +42,10 @@ export const buildCanvasSDXLImageToImageGraph = ( model, cfgScale: cfg_scale, scheduler, + seed, steps, vaePrecision, - clipSkip, shouldUseCpuNoise, - shouldUseNoiseSettings, seamlessXAxis, seamlessYAxis, } = state.generation; @@ -55,20 +54,15 @@ export const buildCanvasSDXLImageToImageGraph = ( shouldUseSDXLRefiner, refinerStart, sdxlImg2ImgDenoisingStrength: strength, - shouldConcatSDXLStylePrompt, } = state.sdxl; // The bounding box determines width and height, not the width and height params const { width, height } = state.canvas.boundingBoxDimensions; - const { - scaledBoundingBoxDimensions, - boundingBoxScaleMethod, - shouldAutoSave, - } = state.canvas; + const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas; const fp32 = vaePrecision === 'fp32'; - + const is_intermediate = true; const isUsingScaledDimensions = ['auto', 'manual'].includes( boundingBoxScaleMethod ); @@ -81,13 +75,11 @@ export const buildCanvasSDXLImageToImageGraph = ( // Model Loader ID let modelLoaderNodeId = SDXL_MODEL_LOADER; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : initialGenerationState.shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; // Construct Style Prompt - const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } = - craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt); + const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } = + buildSDXLStylePrompts(state); /** * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the @@ -111,19 +103,20 @@ export const buildCanvasSDXLImageToImageGraph = ( type: 'sdxl_compel_prompt', id: POSITIVE_CONDITIONING, prompt: positivePrompt, - style: craftedPositiveStylePrompt, + style: joinedPositiveStylePrompt, }, [NEGATIVE_CONDITIONING]: { type: 'sdxl_compel_prompt', id: NEGATIVE_CONDITIONING, prompt: negativePrompt, - style: craftedNegativeStylePrompt, + style: joinedNegativeStylePrompt, }, [NOISE]: { type: 'noise', id: NOISE, - is_intermediate: true, + is_intermediate, use_cpu, + seed, width: !isUsingScaledDimensions ? width : scaledBoundingBoxDimensions.width, @@ -134,13 +127,13 @@ export const buildCanvasSDXLImageToImageGraph = ( [IMAGE_TO_LATENTS]: { type: 'i2l', id: IMAGE_TO_LATENTS, - is_intermediate: true, + is_intermediate, fp32, }, [SDXL_DENOISE_LATENTS]: { type: 'denoise_latents', id: SDXL_DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, cfg_scale, scheduler, steps, @@ -251,7 +244,7 @@ export const buildCanvasSDXLImageToImageGraph = ( graph.nodes[IMG2IMG_RESIZE] = { id: IMG2IMG_RESIZE, type: 'img_resize', - is_intermediate: true, + is_intermediate, image: initialImage, width: scaledBoundingBoxDimensions.width, height: scaledBoundingBoxDimensions.height, @@ -259,13 +252,13 @@ export const buildCanvasSDXLImageToImageGraph = ( graph.nodes[LATENTS_TO_IMAGE] = { id: LATENTS_TO_IMAGE, type: 'l2i', - is_intermediate: true, + is_intermediate, fp32, }; graph.nodes[CANVAS_OUTPUT] = { id: CANVAS_OUTPUT, type: 'img_resize', - is_intermediate: !shouldAutoSave, + is_intermediate, width: width, height: height, }; @@ -306,7 +299,7 @@ export const buildCanvasSDXLImageToImageGraph = ( graph.nodes[CANVAS_OUTPUT] = { type: 'l2i', id: CANVAS_OUTPUT, - is_intermediate: !shouldAutoSave, + is_intermediate, fp32, }; @@ -335,17 +328,16 @@ export const buildCanvasSDXLImageToImageGraph = ( height: !isUsingScaledDimensions ? height : scaledBoundingBoxDimensions.height, - positive_prompt: '', // set in addDynamicPromptsToGraph + positive_prompt: positivePrompt, negative_prompt: negativePrompt, model, - seed: 0, // set in addDynamicPromptsToGraph + seed, steps, rand_device: use_cpu ? 'cpu' : 'cuda', scheduler, vae: undefined, // option; set in addVAEToGraph controlnets: [], // populated in addControlNetToLinearGraph loras: [], // populated in addLoRAsToGraph - clip_skip: clipSkip, strength, init_image: initialImage.image_name, }; @@ -386,12 +378,12 @@ export const buildCanvasSDXLImageToImageGraph = ( // add LoRA support addSDXLLoRAsToGraph(state, graph, SDXL_DENOISE_LATENTS, modelLoaderNodeId); - // add dynamic prompts - also sets up core iteration and seed - addDynamicPromptsToGraph(state, graph); - // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -403,5 +395,7 @@ export const buildCanvasSDXLImageToImageGraph = ( addWatermarkerToGraph(state, graph, CANVAS_OUTPUT); } + addSaveImageNode(state, graph); + return graph; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts index baa1c0155f..389d510ac7 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts @@ -8,13 +8,13 @@ import { ImageToLatentsInvocation, MaskEdgeInvocation, NoiseInvocation, - RandomIntInvocation, - RangeOfSizeInvocation, } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph'; import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -29,7 +29,6 @@ import { INPAINT_IMAGE, INPAINT_IMAGE_RESIZE_DOWN, INPAINT_IMAGE_RESIZE_UP, - ITERATE, LATENTS_TO_IMAGE, MASK_BLUR, MASK_RESIZE_DOWN, @@ -37,15 +36,13 @@ import { NEGATIVE_CONDITIONING, NOISE, POSITIVE_CONDITIONING, - RANDOM_INT, - RANGE_OF_SIZE, SDXL_CANVAS_INPAINT_GRAPH, SDXL_DENOISE_LATENTS, SDXL_MODEL_LOADER, SDXL_REFINER_SEAMLESS, SEAMLESS, } from './constants'; -import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt'; +import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt'; /** * Builds the Canvas tab's Inpaint graph. @@ -63,11 +60,8 @@ export const buildCanvasSDXLInpaintGraph = ( cfgScale: cfg_scale, scheduler, steps, - iterations, seed, - shouldRandomizeSeed, vaePrecision, - shouldUseNoiseSettings, shouldUseCpuNoise, maskBlur, maskBlurMethod, @@ -82,7 +76,6 @@ export const buildCanvasSDXLInpaintGraph = ( sdxlImg2ImgDenoisingStrength: strength, shouldUseSDXLRefiner, refinerStart, - shouldConcatSDXLStylePrompt, } = state.sdxl; if (!model) { @@ -94,27 +87,21 @@ export const buildCanvasSDXLInpaintGraph = ( const { width, height } = state.canvas.boundingBoxDimensions; // We may need to set the inpaint width and height to scale the image - const { - scaledBoundingBoxDimensions, - boundingBoxScaleMethod, - shouldAutoSave, - } = state.canvas; + const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas; const fp32 = vaePrecision === 'fp32'; - + const is_intermediate = true; const isUsingScaledDimensions = ['auto', 'manual'].includes( boundingBoxScaleMethod ); let modelLoaderNodeId = SDXL_MODEL_LOADER; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; // Construct Style Prompt - const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } = - craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt); + const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } = + buildSDXLStylePrompts(state); const graph: NonNullableGraph = { id: SDXL_CANVAS_INPAINT_GRAPH, @@ -128,43 +115,44 @@ export const buildCanvasSDXLInpaintGraph = ( type: 'sdxl_compel_prompt', id: POSITIVE_CONDITIONING, prompt: positivePrompt, - style: craftedPositiveStylePrompt, + style: joinedPositiveStylePrompt, }, [NEGATIVE_CONDITIONING]: { type: 'sdxl_compel_prompt', id: NEGATIVE_CONDITIONING, prompt: negativePrompt, - style: craftedNegativeStylePrompt, + style: joinedNegativeStylePrompt, }, [MASK_BLUR]: { type: 'img_blur', id: MASK_BLUR, - is_intermediate: true, + is_intermediate, radius: maskBlur, blur_type: maskBlurMethod, }, [INPAINT_IMAGE]: { type: 'i2l', id: INPAINT_IMAGE, - is_intermediate: true, + is_intermediate, fp32, }, [NOISE]: { type: 'noise', id: NOISE, use_cpu, - is_intermediate: true, + seed, + is_intermediate, }, [INPAINT_CREATE_MASK]: { type: 'create_denoise_mask', id: INPAINT_CREATE_MASK, - is_intermediate: true, + is_intermediate, fp32, }, [SDXL_DENOISE_LATENTS]: { type: 'denoise_latents', id: SDXL_DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, steps: steps, cfg_scale: cfg_scale, scheduler: scheduler, @@ -175,20 +163,21 @@ export const buildCanvasSDXLInpaintGraph = ( }, [CANVAS_COHERENCE_NOISE]: { type: 'noise', - id: NOISE, + id: CANVAS_COHERENCE_NOISE, use_cpu, - is_intermediate: true, + seed: seed + 1, + is_intermediate, }, [CANVAS_COHERENCE_NOISE_INCREMENT]: { type: 'add', id: CANVAS_COHERENCE_NOISE_INCREMENT, b: 1, - is_intermediate: true, + is_intermediate, }, [CANVAS_COHERENCE_DENOISE_LATENTS]: { type: 'denoise_latents', id: CANVAS_COHERENCE_DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, steps: canvasCoherenceSteps, cfg_scale: cfg_scale, scheduler: scheduler, @@ -198,29 +187,15 @@ export const buildCanvasSDXLInpaintGraph = ( [LATENTS_TO_IMAGE]: { type: 'l2i', id: LATENTS_TO_IMAGE, - is_intermediate: true, + is_intermediate, fp32, }, [CANVAS_OUTPUT]: { type: 'color_correct', id: CANVAS_OUTPUT, - is_intermediate: !shouldAutoSave, + is_intermediate, reference: canvasInitImage, }, - [RANGE_OF_SIZE]: { - type: 'range_of_size', - id: RANGE_OF_SIZE, - is_intermediate: true, - // seed - must be connected manually - // start: 0, - size: iterations, - step: 1, - }, - [ITERATE]: { - type: 'iterate', - id: ITERATE, - is_intermediate: true, - }, }, edges: [ // Connect Model Loader to UNet and CLIP @@ -336,48 +311,7 @@ export const buildCanvasSDXLInpaintGraph = ( field: 'denoise_mask', }, }, - // Iterate - { - source: { - node_id: RANGE_OF_SIZE, - field: 'collection', - }, - destination: { - node_id: ITERATE, - field: 'collection', - }, - }, - { - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: NOISE, - field: 'seed', - }, - }, // Canvas Refine - { - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: CANVAS_COHERENCE_NOISE_INCREMENT, - field: 'a', - }, - }, - { - source: { - node_id: CANVAS_COHERENCE_NOISE_INCREMENT, - field: 'value', - }, - destination: { - node_id: CANVAS_COHERENCE_NOISE, - field: 'seed', - }, - }, { source: { node_id: modelLoaderNodeId, @@ -451,7 +385,7 @@ export const buildCanvasSDXLInpaintGraph = ( graph.nodes[INPAINT_IMAGE_RESIZE_UP] = { type: 'img_resize', id: INPAINT_IMAGE_RESIZE_UP, - is_intermediate: true, + is_intermediate, width: scaledWidth, height: scaledHeight, image: canvasInitImage, @@ -459,7 +393,7 @@ export const buildCanvasSDXLInpaintGraph = ( graph.nodes[MASK_RESIZE_UP] = { type: 'img_resize', id: MASK_RESIZE_UP, - is_intermediate: true, + is_intermediate, width: scaledWidth, height: scaledHeight, image: canvasMaskImage, @@ -467,14 +401,14 @@ export const buildCanvasSDXLInpaintGraph = ( graph.nodes[INPAINT_IMAGE_RESIZE_DOWN] = { type: 'img_resize', id: INPAINT_IMAGE_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; graph.nodes[MASK_RESIZE_DOWN] = { type: 'img_resize', id: MASK_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; @@ -612,7 +546,7 @@ export const buildCanvasSDXLInpaintGraph = ( graph.nodes[CANVAS_COHERENCE_INPAINT_CREATE_MASK] = { type: 'create_denoise_mask', id: CANVAS_COHERENCE_INPAINT_CREATE_MASK, - is_intermediate: true, + is_intermediate, fp32, }; @@ -665,7 +599,7 @@ export const buildCanvasSDXLInpaintGraph = ( graph.nodes[CANVAS_COHERENCE_MASK_EDGE] = { type: 'mask_edge', id: CANVAS_COHERENCE_MASK_EDGE, - is_intermediate: true, + is_intermediate, edge_blur: maskBlur, edge_size: maskBlur * 2, low_threshold: 100, @@ -716,26 +650,6 @@ export const buildCanvasSDXLInpaintGraph = ( }); } - // Handle Seed - if (shouldRandomizeSeed) { - // Random int node to generate the starting seed - const randomIntNode: RandomIntInvocation = { - id: RANDOM_INT, - type: 'rand_int', - }; - - graph.nodes[RANDOM_INT] = randomIntNode; - - // Connect random int to the start of the range of size so the range starts on the random first seed - graph.edges.push({ - source: { node_id: RANDOM_INT, field: 'value' }, - destination: { node_id: RANGE_OF_SIZE, field: 'start' }, - }); - } else { - // User specified seed, so set the start of the range of size to the seed - (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed; - } - // Add Seamless To Graph if (seamlessXAxis || seamlessYAxis) { addSeamlessToLinearGraph(state, graph, modelLoaderNodeId); @@ -765,6 +679,9 @@ export const buildCanvasSDXLInpaintGraph = ( // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -776,5 +693,7 @@ export const buildCanvasSDXLInpaintGraph = ( addWatermarkerToGraph(state, graph, CANVAS_OUTPUT); } + addSaveImageNode(state, graph); + return graph; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts index 3f8fffb70a..c913492335 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts @@ -7,13 +7,13 @@ import { InfillPatchMatchInvocation, InfillTileInvocation, NoiseInvocation, - RandomIntInvocation, - RangeOfSizeInvocation, } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph'; import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -30,7 +30,6 @@ import { INPAINT_IMAGE_RESIZE_UP, INPAINT_INFILL, INPAINT_INFILL_RESIZE_DOWN, - ITERATE, LATENTS_TO_IMAGE, MASK_COMBINE, MASK_FROM_ALPHA, @@ -39,15 +38,13 @@ import { NEGATIVE_CONDITIONING, NOISE, POSITIVE_CONDITIONING, - RANDOM_INT, - RANGE_OF_SIZE, SDXL_CANVAS_OUTPAINT_GRAPH, SDXL_DENOISE_LATENTS, SDXL_MODEL_LOADER, SDXL_REFINER_SEAMLESS, SEAMLESS, } from './constants'; -import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt'; +import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt'; /** * Builds the Canvas tab's Outpaint graph. @@ -65,11 +62,8 @@ export const buildCanvasSDXLOutpaintGraph = ( cfgScale: cfg_scale, scheduler, steps, - iterations, seed, - shouldRandomizeSeed, vaePrecision, - shouldUseNoiseSettings, shouldUseCpuNoise, maskBlur, canvasCoherenceMode, @@ -86,7 +80,6 @@ export const buildCanvasSDXLOutpaintGraph = ( sdxlImg2ImgDenoisingStrength: strength, shouldUseSDXLRefiner, refinerStart, - shouldConcatSDXLStylePrompt, } = state.sdxl; if (!model) { @@ -98,27 +91,21 @@ export const buildCanvasSDXLOutpaintGraph = ( const { width, height } = state.canvas.boundingBoxDimensions; // We may need to set the inpaint width and height to scale the image - const { - scaledBoundingBoxDimensions, - boundingBoxScaleMethod, - shouldAutoSave, - } = state.canvas; + const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas; const fp32 = vaePrecision === 'fp32'; - + const is_intermediate = true; const isUsingScaledDimensions = ['auto', 'manual'].includes( boundingBoxScaleMethod ); let modelLoaderNodeId = SDXL_MODEL_LOADER; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; // Construct Style Prompt - const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } = - craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt); + const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } = + buildSDXLStylePrompts(state); const graph: NonNullableGraph = { id: SDXL_CANVAS_OUTPAINT_GRAPH, @@ -132,48 +119,49 @@ export const buildCanvasSDXLOutpaintGraph = ( type: 'sdxl_compel_prompt', id: POSITIVE_CONDITIONING, prompt: positivePrompt, - style: craftedPositiveStylePrompt, + style: joinedPositiveStylePrompt, }, [NEGATIVE_CONDITIONING]: { type: 'sdxl_compel_prompt', id: NEGATIVE_CONDITIONING, prompt: negativePrompt, - style: craftedNegativeStylePrompt, + style: joinedNegativeStylePrompt, }, [MASK_FROM_ALPHA]: { type: 'tomask', id: MASK_FROM_ALPHA, - is_intermediate: true, + is_intermediate, image: canvasInitImage, }, [MASK_COMBINE]: { type: 'mask_combine', id: MASK_COMBINE, - is_intermediate: true, + is_intermediate, mask2: canvasMaskImage, }, [INPAINT_IMAGE]: { type: 'i2l', id: INPAINT_IMAGE, - is_intermediate: true, + is_intermediate, fp32, }, [NOISE]: { type: 'noise', id: NOISE, use_cpu, - is_intermediate: true, + seed, + is_intermediate, }, [INPAINT_CREATE_MASK]: { type: 'create_denoise_mask', id: INPAINT_CREATE_MASK, - is_intermediate: true, + is_intermediate, fp32, }, [SDXL_DENOISE_LATENTS]: { type: 'denoise_latents', id: SDXL_DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, steps: steps, cfg_scale: cfg_scale, scheduler: scheduler, @@ -184,20 +172,21 @@ export const buildCanvasSDXLOutpaintGraph = ( }, [CANVAS_COHERENCE_NOISE]: { type: 'noise', - id: NOISE, + id: CANVAS_COHERENCE_NOISE, use_cpu, - is_intermediate: true, + seed: seed + 1, + is_intermediate, }, [CANVAS_COHERENCE_NOISE_INCREMENT]: { type: 'add', id: CANVAS_COHERENCE_NOISE_INCREMENT, b: 1, - is_intermediate: true, + is_intermediate, }, [CANVAS_COHERENCE_DENOISE_LATENTS]: { type: 'denoise_latents', id: CANVAS_COHERENCE_DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, steps: canvasCoherenceSteps, cfg_scale: cfg_scale, scheduler: scheduler, @@ -207,27 +196,13 @@ export const buildCanvasSDXLOutpaintGraph = ( [LATENTS_TO_IMAGE]: { type: 'l2i', id: LATENTS_TO_IMAGE, - is_intermediate: true, + is_intermediate, fp32, }, [CANVAS_OUTPUT]: { type: 'color_correct', id: CANVAS_OUTPUT, - is_intermediate: !shouldAutoSave, - }, - [RANGE_OF_SIZE]: { - type: 'range_of_size', - id: RANGE_OF_SIZE, - is_intermediate: true, - // seed - must be connected manually - // start: 0, - size: iterations, - step: 1, - }, - [ITERATE]: { - type: 'iterate', - id: ITERATE, - is_intermediate: true, + is_intermediate, }, }, edges: [ @@ -366,48 +341,7 @@ export const buildCanvasSDXLOutpaintGraph = ( field: 'denoise_mask', }, }, - // Iterate - { - source: { - node_id: RANGE_OF_SIZE, - field: 'collection', - }, - destination: { - node_id: ITERATE, - field: 'collection', - }, - }, - { - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: NOISE, - field: 'seed', - }, - }, // Canvas Refine - { - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: CANVAS_COHERENCE_NOISE_INCREMENT, - field: 'a', - }, - }, - { - source: { - node_id: CANVAS_COHERENCE_NOISE_INCREMENT, - field: 'value', - }, - destination: { - node_id: CANVAS_COHERENCE_NOISE, - field: 'seed', - }, - }, { source: { node_id: modelLoaderNodeId, @@ -487,7 +421,7 @@ export const buildCanvasSDXLOutpaintGraph = ( graph.nodes[INPAINT_INFILL] = { type: 'infill_patchmatch', id: INPAINT_INFILL, - is_intermediate: true, + is_intermediate, downscale: infillPatchmatchDownscaleSize, }; } @@ -496,7 +430,7 @@ export const buildCanvasSDXLOutpaintGraph = ( graph.nodes[INPAINT_INFILL] = { type: 'infill_lama', id: INPAINT_INFILL, - is_intermediate: true, + is_intermediate, }; } @@ -504,7 +438,7 @@ export const buildCanvasSDXLOutpaintGraph = ( graph.nodes[INPAINT_INFILL] = { type: 'infill_cv2', id: INPAINT_INFILL, - is_intermediate: true, + is_intermediate, }; } @@ -512,7 +446,7 @@ export const buildCanvasSDXLOutpaintGraph = ( graph.nodes[INPAINT_INFILL] = { type: 'infill_tile', id: INPAINT_INFILL, - is_intermediate: true, + is_intermediate, tile_size: infillTileSize, }; } @@ -526,7 +460,7 @@ export const buildCanvasSDXLOutpaintGraph = ( graph.nodes[INPAINT_IMAGE_RESIZE_UP] = { type: 'img_resize', id: INPAINT_IMAGE_RESIZE_UP, - is_intermediate: true, + is_intermediate, width: scaledWidth, height: scaledHeight, image: canvasInitImage, @@ -534,28 +468,28 @@ export const buildCanvasSDXLOutpaintGraph = ( graph.nodes[MASK_RESIZE_UP] = { type: 'img_resize', id: MASK_RESIZE_UP, - is_intermediate: true, + is_intermediate, width: scaledWidth, height: scaledHeight, }; graph.nodes[INPAINT_IMAGE_RESIZE_DOWN] = { type: 'img_resize', id: INPAINT_IMAGE_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; graph.nodes[INPAINT_INFILL_RESIZE_DOWN] = { type: 'img_resize', id: INPAINT_INFILL_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; graph.nodes[MASK_RESIZE_DOWN] = { type: 'img_resize', id: MASK_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; @@ -715,7 +649,7 @@ export const buildCanvasSDXLOutpaintGraph = ( graph.nodes[CANVAS_COHERENCE_INPAINT_CREATE_MASK] = { type: 'create_denoise_mask', id: CANVAS_COHERENCE_INPAINT_CREATE_MASK, - is_intermediate: true, + is_intermediate, fp32, }; @@ -762,7 +696,7 @@ export const buildCanvasSDXLOutpaintGraph = ( graph.nodes[CANVAS_COHERENCE_MASK_EDGE] = { type: 'mask_edge', id: CANVAS_COHERENCE_MASK_EDGE, - is_intermediate: true, + is_intermediate, edge_blur: maskBlur, edge_size: maskBlur * 2, low_threshold: 100, @@ -819,26 +753,6 @@ export const buildCanvasSDXLOutpaintGraph = ( }); } - // Handle Seed - if (shouldRandomizeSeed) { - // Random int node to generate the starting seed - const randomIntNode: RandomIntInvocation = { - id: RANDOM_INT, - type: 'rand_int', - }; - - graph.nodes[RANDOM_INT] = randomIntNode; - - // Connect random int to the start of the range of size so the range starts on the random first seed - graph.edges.push({ - source: { node_id: RANDOM_INT, field: 'value' }, - destination: { node_id: RANGE_OF_SIZE, field: 'start' }, - }); - } else { - // User specified seed, so set the start of the range of size to the seed - (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed; - } - // Add Seamless To Graph if (seamlessXAxis || seamlessYAxis) { addSeamlessToLinearGraph(state, graph, modelLoaderNodeId); @@ -868,6 +782,9 @@ export const buildCanvasSDXLOutpaintGraph = ( // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -879,5 +796,7 @@ export const buildCanvasSDXLOutpaintGraph = ( addWatermarkerToGraph(state, graph, CANVAS_OUTPUT); } + addSaveImageNode(state, graph); + return graph; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts index 6d787987ef..9f9a442b99 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts @@ -1,16 +1,16 @@ import { logger } from 'app/logging/logger'; import { RootState } from 'app/store/store'; import { NonNullableGraph } from 'features/nodes/types/types'; -import { initialGenerationState } from 'features/parameters/store/generationSlice'; import { DenoiseLatentsInvocation, ONNXTextToLatentsInvocation, } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; -import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph'; import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -28,7 +28,7 @@ import { SDXL_REFINER_SEAMLESS, SEAMLESS, } from './constants'; -import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt'; +import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt'; /** * Builds the Canvas tab's Text to Image graph. @@ -43,11 +43,10 @@ export const buildCanvasSDXLTextToImageGraph = ( model, cfgScale: cfg_scale, scheduler, + seed, steps, vaePrecision, - clipSkip, shouldUseCpuNoise, - shouldUseNoiseSettings, seamlessXAxis, seamlessYAxis, } = state.generation; @@ -55,29 +54,22 @@ export const buildCanvasSDXLTextToImageGraph = ( // The bounding box determines width and height, not the width and height params const { width, height } = state.canvas.boundingBoxDimensions; - const { - scaledBoundingBoxDimensions, - boundingBoxScaleMethod, - shouldAutoSave, - } = state.canvas; + const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas; const fp32 = vaePrecision === 'fp32'; - + const is_intermediate = true; const isUsingScaledDimensions = ['auto', 'manual'].includes( boundingBoxScaleMethod ); - const { shouldUseSDXLRefiner, refinerStart, shouldConcatSDXLStylePrompt } = - state.sdxl; + const { shouldUseSDXLRefiner, refinerStart } = state.sdxl; if (!model) { log.error('No model found in state'); throw new Error('No model found in state'); } - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : initialGenerationState.shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; const isUsingOnnxModel = model.model_type === 'onnx'; @@ -94,7 +86,7 @@ export const buildCanvasSDXLTextToImageGraph = ( ? { type: 't2l_onnx', id: SDXL_DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, cfg_scale, scheduler, steps, @@ -102,7 +94,7 @@ export const buildCanvasSDXLTextToImageGraph = ( : { type: 'denoise_latents', id: SDXL_DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, cfg_scale, scheduler, steps, @@ -111,8 +103,8 @@ export const buildCanvasSDXLTextToImageGraph = ( }; // Construct Style Prompt - const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } = - craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt); + const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } = + buildSDXLStylePrompts(state); /** * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the @@ -131,27 +123,28 @@ export const buildCanvasSDXLTextToImageGraph = ( [modelLoaderNodeId]: { type: modelLoaderNodeType, id: modelLoaderNodeId, - is_intermediate: true, + is_intermediate, model, }, [POSITIVE_CONDITIONING]: { type: isUsingOnnxModel ? 'prompt_onnx' : 'sdxl_compel_prompt', id: POSITIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: positivePrompt, - style: craftedPositiveStylePrompt, + style: joinedPositiveStylePrompt, }, [NEGATIVE_CONDITIONING]: { type: isUsingOnnxModel ? 'prompt_onnx' : 'sdxl_compel_prompt', id: NEGATIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: negativePrompt, - style: craftedNegativeStylePrompt, + style: joinedNegativeStylePrompt, }, [NOISE]: { type: 'noise', id: NOISE, - is_intermediate: true, + is_intermediate, + seed, width: !isUsingScaledDimensions ? width : scaledBoundingBoxDimensions.width, @@ -253,14 +246,14 @@ export const buildCanvasSDXLTextToImageGraph = ( graph.nodes[LATENTS_TO_IMAGE] = { id: LATENTS_TO_IMAGE, type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i', - is_intermediate: true, + is_intermediate, fp32, }; graph.nodes[CANVAS_OUTPUT] = { id: CANVAS_OUTPUT, type: 'img_resize', - is_intermediate: !shouldAutoSave, + is_intermediate, width: width, height: height, }; @@ -291,7 +284,7 @@ export const buildCanvasSDXLTextToImageGraph = ( graph.nodes[CANVAS_OUTPUT] = { type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i', id: CANVAS_OUTPUT, - is_intermediate: !shouldAutoSave, + is_intermediate, fp32, }; @@ -317,17 +310,16 @@ export const buildCanvasSDXLTextToImageGraph = ( height: !isUsingScaledDimensions ? height : scaledBoundingBoxDimensions.height, - positive_prompt: '', // set in addDynamicPromptsToGraph + positive_prompt: positivePrompt, negative_prompt: negativePrompt, model, - seed: 0, // set in addDynamicPromptsToGraph + seed, steps, rand_device: use_cpu ? 'cpu' : 'cuda', scheduler, vae: undefined, // option; set in addVAEToGraph controlnets: [], // populated in addControlNetToLinearGraph loras: [], // populated in addLoRAsToGraph - clip_skip: clipSkip, }; graph.edges.push({ @@ -366,12 +358,12 @@ export const buildCanvasSDXLTextToImageGraph = ( // optionally add custom VAE addVAEToGraph(state, graph, modelLoaderNodeId); - // add dynamic prompts - also sets up core iteration and seed - addDynamicPromptsToGraph(state, graph); - // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -383,5 +375,7 @@ export const buildCanvasSDXLTextToImageGraph = ( addWatermarkerToGraph(state, graph, CANVAS_OUTPUT); } + addSaveImageNode(state, graph); + return graph; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts index 094a7b02cc..2aa0b2b47d 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts @@ -1,15 +1,15 @@ import { logger } from 'app/logging/logger'; import { RootState } from 'app/store/store'; import { NonNullableGraph } from 'features/nodes/types/types'; -import { initialGenerationState } from 'features/parameters/store/generationSlice'; import { DenoiseLatentsInvocation, ONNXTextToLatentsInvocation, } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; -import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addLoRAsToGraph } from './addLoRAsToGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -41,11 +41,11 @@ export const buildCanvasTextToImageGraph = ( model, cfgScale: cfg_scale, scheduler, + seed, steps, vaePrecision, clipSkip, shouldUseCpuNoise, - shouldUseNoiseSettings, seamlessXAxis, seamlessYAxis, } = state.generation; @@ -53,14 +53,10 @@ export const buildCanvasTextToImageGraph = ( // The bounding box determines width and height, not the width and height params const { width, height } = state.canvas.boundingBoxDimensions; - const { - scaledBoundingBoxDimensions, - boundingBoxScaleMethod, - shouldAutoSave, - } = state.canvas; + const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas; const fp32 = vaePrecision === 'fp32'; - + const is_intermediate = true; const isUsingScaledDimensions = ['auto', 'manual'].includes( boundingBoxScaleMethod ); @@ -70,9 +66,7 @@ export const buildCanvasTextToImageGraph = ( throw new Error('No model found in state'); } - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : initialGenerationState.shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; const isUsingOnnxModel = model.model_type === 'onnx'; @@ -89,7 +83,7 @@ export const buildCanvasTextToImageGraph = ( ? { type: 't2l_onnx', id: DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, cfg_scale, scheduler, steps, @@ -97,7 +91,7 @@ export const buildCanvasTextToImageGraph = ( : { type: 'denoise_latents', id: DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, cfg_scale, scheduler, steps, @@ -122,31 +116,32 @@ export const buildCanvasTextToImageGraph = ( [modelLoaderNodeId]: { type: modelLoaderNodeType, id: modelLoaderNodeId, - is_intermediate: true, + is_intermediate, model, }, [CLIP_SKIP]: { type: 'clip_skip', id: CLIP_SKIP, - is_intermediate: true, + is_intermediate, skipped_layers: clipSkip, }, [POSITIVE_CONDITIONING]: { type: isUsingOnnxModel ? 'prompt_onnx' : 'compel', id: POSITIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: positivePrompt, }, [NEGATIVE_CONDITIONING]: { type: isUsingOnnxModel ? 'prompt_onnx' : 'compel', id: NEGATIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: negativePrompt, }, [NOISE]: { type: 'noise', id: NOISE, - is_intermediate: true, + is_intermediate, + seed, width: !isUsingScaledDimensions ? width : scaledBoundingBoxDimensions.width, @@ -239,14 +234,14 @@ export const buildCanvasTextToImageGraph = ( graph.nodes[LATENTS_TO_IMAGE] = { id: LATENTS_TO_IMAGE, type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i', - is_intermediate: true, + is_intermediate, fp32, }; graph.nodes[CANVAS_OUTPUT] = { id: CANVAS_OUTPUT, type: 'img_resize', - is_intermediate: !shouldAutoSave, + is_intermediate, width: width, height: height, }; @@ -277,7 +272,7 @@ export const buildCanvasTextToImageGraph = ( graph.nodes[CANVAS_OUTPUT] = { type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i', id: CANVAS_OUTPUT, - is_intermediate: !shouldAutoSave, + is_intermediate, fp32, }; @@ -303,10 +298,10 @@ export const buildCanvasTextToImageGraph = ( height: !isUsingScaledDimensions ? height : scaledBoundingBoxDimensions.height, - positive_prompt: '', // set in addDynamicPromptsToGraph + positive_prompt: positivePrompt, negative_prompt: negativePrompt, model, - seed: 0, // set in addDynamicPromptsToGraph + seed, steps, rand_device: use_cpu ? 'cpu' : 'cuda', scheduler, @@ -339,12 +334,12 @@ export const buildCanvasTextToImageGraph = ( // add LoRA support addLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId); - // add dynamic prompts - also sets up core iteration and seed - addDynamicPromptsToGraph(state, graph); - // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, DENOISE_LATENTS); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -356,5 +351,7 @@ export const buildCanvasTextToImageGraph = ( addWatermarkerToGraph(state, graph, CANVAS_OUTPUT); } + addSaveImageNode(state, graph); + return graph; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearBatchConfig.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearBatchConfig.ts new file mode 100644 index 0000000000..9c25ee3b8f --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearBatchConfig.ts @@ -0,0 +1,185 @@ +import { NUMPY_RAND_MAX } from 'app/constants'; +import { RootState } from 'app/store/store'; +import { generateSeeds } from 'common/util/generateSeeds'; +import { NonNullableGraph } from 'features/nodes/types/types'; +import { range, unset } from 'lodash-es'; +import { components } from 'services/api/schema'; +import { Batch, BatchConfig } from 'services/api/types'; +import { + CANVAS_COHERENCE_NOISE, + METADATA_ACCUMULATOR, + NOISE, + POSITIVE_CONDITIONING, +} from './constants'; + +export const prepareLinearUIBatch = ( + state: RootState, + graph: NonNullableGraph, + prepend: boolean +): BatchConfig => { + const { iterations, model, shouldRandomizeSeed, seed } = state.generation; + const { shouldConcatSDXLStylePrompt, positiveStylePrompt } = state.sdxl; + const { prompts, seedBehaviour } = state.dynamicPrompts; + + const data: Batch['data'] = []; + + if (prompts.length === 1) { + unset(graph.nodes[METADATA_ACCUMULATOR], 'seed'); + const seeds = generateSeeds({ + count: iterations, + start: shouldRandomizeSeed ? undefined : seed, + }); + + const zipped: components['schemas']['BatchDatum'][] = []; + + if (graph.nodes[NOISE]) { + zipped.push({ + node_path: NOISE, + field_name: 'seed', + items: seeds, + }); + } + + if (graph.nodes[METADATA_ACCUMULATOR]) { + zipped.push({ + node_path: METADATA_ACCUMULATOR, + field_name: 'seed', + items: seeds, + }); + } + + if (graph.nodes[CANVAS_COHERENCE_NOISE]) { + zipped.push({ + node_path: CANVAS_COHERENCE_NOISE, + field_name: 'seed', + items: seeds.map((seed) => (seed + 1) % NUMPY_RAND_MAX), + }); + } + + data.push(zipped); + } else { + // prompts.length > 1 aka dynamic prompts + const firstBatchDatumList: components['schemas']['BatchDatum'][] = []; + const secondBatchDatumList: components['schemas']['BatchDatum'][] = []; + + // add seeds first to ensure the output order groups the prompts + if (seedBehaviour === 'PER_PROMPT') { + const seeds = generateSeeds({ + count: prompts.length * iterations, + start: shouldRandomizeSeed ? undefined : seed, + }); + + if (graph.nodes[NOISE]) { + firstBatchDatumList.push({ + node_path: NOISE, + field_name: 'seed', + items: seeds, + }); + } + + if (graph.nodes[METADATA_ACCUMULATOR]) { + firstBatchDatumList.push({ + node_path: METADATA_ACCUMULATOR, + field_name: 'seed', + items: seeds, + }); + } + + if (graph.nodes[CANVAS_COHERENCE_NOISE]) { + firstBatchDatumList.push({ + node_path: CANVAS_COHERENCE_NOISE, + field_name: 'seed', + items: seeds.map((seed) => (seed + 1) % NUMPY_RAND_MAX), + }); + } + } else { + // seedBehaviour = SeedBehaviour.PerRun + const seeds = generateSeeds({ + count: iterations, + start: shouldRandomizeSeed ? undefined : seed, + }); + + if (graph.nodes[NOISE]) { + secondBatchDatumList.push({ + node_path: NOISE, + field_name: 'seed', + items: seeds, + }); + } + if (graph.nodes[METADATA_ACCUMULATOR]) { + secondBatchDatumList.push({ + node_path: METADATA_ACCUMULATOR, + field_name: 'seed', + items: seeds, + }); + } + if (graph.nodes[CANVAS_COHERENCE_NOISE]) { + secondBatchDatumList.push({ + node_path: CANVAS_COHERENCE_NOISE, + field_name: 'seed', + items: seeds.map((seed) => (seed + 1) % NUMPY_RAND_MAX), + }); + } + data.push(secondBatchDatumList); + } + + const extendedPrompts = + seedBehaviour === 'PER_PROMPT' + ? range(iterations).flatMap(() => prompts) + : prompts; + + // zipped batch of prompts + if (graph.nodes[POSITIVE_CONDITIONING]) { + firstBatchDatumList.push({ + node_path: POSITIVE_CONDITIONING, + field_name: 'prompt', + items: extendedPrompts, + }); + } + + if (graph.nodes[METADATA_ACCUMULATOR]) { + firstBatchDatumList.push({ + node_path: METADATA_ACCUMULATOR, + field_name: 'positive_prompt', + items: extendedPrompts, + }); + } + + if (shouldConcatSDXLStylePrompt && model?.base_model === 'sdxl') { + unset(graph.nodes[METADATA_ACCUMULATOR], 'positive_style_prompt'); + + const stylePrompts = extendedPrompts.map((p) => + [p, positiveStylePrompt].join(' ') + ); + + if (graph.nodes[POSITIVE_CONDITIONING]) { + firstBatchDatumList.push({ + node_path: POSITIVE_CONDITIONING, + field_name: 'style', + items: stylePrompts, + }); + } + + if (graph.nodes[METADATA_ACCUMULATOR]) { + firstBatchDatumList.push({ + node_path: METADATA_ACCUMULATOR, + field_name: 'positive_style_prompt', + items: stylePrompts, + }); + } + } + + data.push(firstBatchDatumList); + } + + const enqueueBatchArg: BatchConfig = { + prepend, + batch: { + graph, + runs: 1, + data, + }, + }; + + return enqueueBatchArg; +}; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts index dc9a34c67e..bf8d9ea314 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts @@ -1,15 +1,15 @@ import { logger } from 'app/logging/logger'; import { RootState } from 'app/store/store'; import { NonNullableGraph } from 'features/nodes/types/types'; -import { initialGenerationState } from 'features/parameters/store/generationSlice'; import { ImageResizeInvocation, ImageToLatentsInvocation, } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; -import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addLoRAsToGraph } from './addLoRAsToGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -41,6 +41,7 @@ export const buildLinearImageToImageGraph = ( model, cfgScale: cfg_scale, scheduler, + seed, steps, initialImage, img2imgStrength: strength, @@ -49,22 +50,11 @@ export const buildLinearImageToImageGraph = ( height, clipSkip, shouldUseCpuNoise, - shouldUseNoiseSettings, vaePrecision, seamlessXAxis, seamlessYAxis, } = state.generation; - // TODO: add batch functionality - // const { - // isEnabled: isBatchEnabled, - // imageNames: batchImageNames, - // asInitialImage, - // } = state.batch; - - // const shouldBatch = - // isBatchEnabled && batchImageNames.length > 0 && asInitialImage; - /** * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the * full graph here as a template. Then use the parameters from app state and set friendlier node @@ -85,12 +75,11 @@ export const buildLinearImageToImageGraph = ( } const fp32 = vaePrecision === 'fp32'; + const is_intermediate = true; let modelLoaderNodeId = MAIN_MODEL_LOADER; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : initialGenerationState.shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; // copy-pasted graph from node editor, filled in with state values & friendly node ids const graph: NonNullableGraph = { @@ -100,31 +89,38 @@ export const buildLinearImageToImageGraph = ( type: 'main_model_loader', id: modelLoaderNodeId, model, + is_intermediate, }, [CLIP_SKIP]: { type: 'clip_skip', id: CLIP_SKIP, skipped_layers: clipSkip, + is_intermediate, }, [POSITIVE_CONDITIONING]: { type: 'compel', id: POSITIVE_CONDITIONING, prompt: positivePrompt, + is_intermediate, }, [NEGATIVE_CONDITIONING]: { type: 'compel', id: NEGATIVE_CONDITIONING, prompt: negativePrompt, + is_intermediate, }, [NOISE]: { type: 'noise', id: NOISE, use_cpu, + seed, + is_intermediate, }, [LATENTS_TO_IMAGE]: { type: 'l2i', id: LATENTS_TO_IMAGE, fp32, + is_intermediate, }, [DENOISE_LATENTS]: { type: 'denoise_latents', @@ -134,6 +130,7 @@ export const buildLinearImageToImageGraph = ( steps, denoising_start: 1 - strength, denoising_end: 1, + is_intermediate, }, [IMAGE_TO_LATENTS]: { type: 'i2l', @@ -143,6 +140,7 @@ export const buildLinearImageToImageGraph = ( // image_name: initialImage.image_name, // }, fp32, + is_intermediate, }, }, edges: [ @@ -320,10 +318,10 @@ export const buildLinearImageToImageGraph = ( cfg_scale, height, width, - positive_prompt: '', // set in addDynamicPromptsToGraph + positive_prompt: positivePrompt, negative_prompt: negativePrompt, model, - seed: 0, // set in addDynamicPromptsToGraph + seed, steps, rand_device: use_cpu ? 'cpu' : 'cuda', scheduler, @@ -358,12 +356,12 @@ export const buildLinearImageToImageGraph = ( // add LoRA support addLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId); - // add dynamic prompts - also sets up core iteration and seed - addDynamicPromptsToGraph(state, graph); - // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, DENOISE_LATENTS); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -375,5 +373,7 @@ export const buildLinearImageToImageGraph = ( addWatermarkerToGraph(state, graph); } + addSaveImageNode(state, graph); + return graph; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts index 757a3976bb..bc02fb5a66 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts @@ -1,16 +1,16 @@ import { logger } from 'app/logging/logger'; import { RootState } from 'app/store/store'; import { NonNullableGraph } from 'features/nodes/types/types'; -import { initialGenerationState } from 'features/parameters/store/generationSlice'; import { ImageResizeInvocation, ImageToLatentsInvocation, } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; -import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph'; import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -28,7 +28,7 @@ import { SDXL_REFINER_SEAMLESS, SEAMLESS, } from './constants'; -import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt'; +import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt'; /** * Builds the Image to Image tab graph. @@ -43,14 +43,13 @@ export const buildLinearSDXLImageToImageGraph = ( model, cfgScale: cfg_scale, scheduler, + seed, steps, initialImage, shouldFitToWidthHeight, width, height, - clipSkip, shouldUseCpuNoise, - shouldUseNoiseSettings, vaePrecision, seamlessXAxis, seamlessYAxis, @@ -59,7 +58,6 @@ export const buildLinearSDXLImageToImageGraph = ( const { positiveStylePrompt, negativeStylePrompt, - shouldConcatSDXLStylePrompt, shouldUseSDXLRefiner, refinerStart, sdxlImg2ImgDenoisingStrength: strength, @@ -85,17 +83,16 @@ export const buildLinearSDXLImageToImageGraph = ( } const fp32 = vaePrecision === 'fp32'; + const is_intermediate = true; // Model Loader ID let modelLoaderNodeId = SDXL_MODEL_LOADER; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : initialGenerationState.shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; // Construct Style Prompt - const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } = - craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt); + const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } = + buildSDXLStylePrompts(state); // copy-pasted graph from node editor, filled in with state values & friendly node ids const graph: NonNullableGraph = { @@ -105,28 +102,34 @@ export const buildLinearSDXLImageToImageGraph = ( type: 'sdxl_model_loader', id: modelLoaderNodeId, model, + is_intermediate, }, [POSITIVE_CONDITIONING]: { type: 'sdxl_compel_prompt', id: POSITIVE_CONDITIONING, prompt: positivePrompt, - style: craftedPositiveStylePrompt, + style: joinedPositiveStylePrompt, + is_intermediate, }, [NEGATIVE_CONDITIONING]: { type: 'sdxl_compel_prompt', id: NEGATIVE_CONDITIONING, prompt: negativePrompt, - style: craftedNegativeStylePrompt, + style: joinedNegativeStylePrompt, + is_intermediate, }, [NOISE]: { type: 'noise', id: NOISE, use_cpu, + seed, + is_intermediate, }, [LATENTS_TO_IMAGE]: { type: 'l2i', id: LATENTS_TO_IMAGE, fp32, + is_intermediate, }, [SDXL_DENOISE_LATENTS]: { type: 'denoise_latents', @@ -138,6 +141,7 @@ export const buildLinearSDXLImageToImageGraph = ( ? Math.min(refinerStart, 1 - strength) : 1 - strength, denoising_end: shouldUseSDXLRefiner ? refinerStart : 1, + is_intermediate, }, [IMAGE_TO_LATENTS]: { type: 'i2l', @@ -147,6 +151,7 @@ export const buildLinearSDXLImageToImageGraph = ( // image_name: initialImage.image_name, // }, fp32, + is_intermediate, }, }, edges: [ @@ -333,17 +338,16 @@ export const buildLinearSDXLImageToImageGraph = ( cfg_scale, height, width, - positive_prompt: '', // set in addDynamicPromptsToGraph + positive_prompt: positivePrompt, negative_prompt: negativePrompt, model, - seed: 0, // set in addDynamicPromptsToGraph + seed, steps, rand_device: use_cpu ? 'cpu' : 'cuda', scheduler, vae: undefined, controlnets: [], loras: [], - clip_skip: clipSkip, strength: strength, init_image: initialImage.imageName, positive_style_prompt: positiveStylePrompt, @@ -384,8 +388,8 @@ export const buildLinearSDXLImageToImageGraph = ( // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); - // add dynamic prompts - also sets up core iteration and seed - addDynamicPromptsToGraph(state, graph); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { @@ -398,5 +402,7 @@ export const buildLinearSDXLImageToImageGraph = ( addWatermarkerToGraph(state, graph); } + addSaveImageNode(state, graph); + return graph; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts index 9590e77f89..22a7dd4192 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts @@ -1,12 +1,12 @@ import { logger } from 'app/logging/logger'; import { RootState } from 'app/store/store'; import { NonNullableGraph } from 'features/nodes/types/types'; -import { initialGenerationState } from 'features/parameters/store/generationSlice'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; -import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph'; import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -22,7 +22,7 @@ import { SDXL_TEXT_TO_IMAGE_GRAPH, SEAMLESS, } from './constants'; -import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt'; +import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt'; export const buildLinearSDXLTextToImageGraph = ( state: RootState @@ -34,12 +34,11 @@ export const buildLinearSDXLTextToImageGraph = ( model, cfgScale: cfg_scale, scheduler, + seed, steps, width, height, - clipSkip, shouldUseCpuNoise, - shouldUseNoiseSettings, vaePrecision, seamlessXAxis, seamlessYAxis, @@ -49,13 +48,10 @@ export const buildLinearSDXLTextToImageGraph = ( positiveStylePrompt, negativeStylePrompt, shouldUseSDXLRefiner, - shouldConcatSDXLStylePrompt, refinerStart, } = state.sdxl; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : initialGenerationState.shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; if (!model) { log.error('No model found in state'); @@ -63,10 +59,11 @@ export const buildLinearSDXLTextToImageGraph = ( } const fp32 = vaePrecision === 'fp32'; + const is_intermediate = true; // Construct Style Prompt - const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } = - craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt); + const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } = + buildSDXLStylePrompts(state); // Model Loader ID let modelLoaderNodeId = SDXL_MODEL_LOADER; @@ -88,25 +85,30 @@ export const buildLinearSDXLTextToImageGraph = ( type: 'sdxl_model_loader', id: modelLoaderNodeId, model, + is_intermediate, }, [POSITIVE_CONDITIONING]: { type: 'sdxl_compel_prompt', id: POSITIVE_CONDITIONING, prompt: positivePrompt, - style: craftedPositiveStylePrompt, + style: joinedPositiveStylePrompt, + is_intermediate, }, [NEGATIVE_CONDITIONING]: { type: 'sdxl_compel_prompt', id: NEGATIVE_CONDITIONING, prompt: negativePrompt, - style: craftedNegativeStylePrompt, + style: joinedNegativeStylePrompt, + is_intermediate, }, [NOISE]: { type: 'noise', id: NOISE, + seed, width, height, use_cpu, + is_intermediate, }, [SDXL_DENOISE_LATENTS]: { type: 'denoise_latents', @@ -116,11 +118,13 @@ export const buildLinearSDXLTextToImageGraph = ( steps, denoising_start: 0, denoising_end: shouldUseSDXLRefiner ? refinerStart : 1, + is_intermediate, }, [LATENTS_TO_IMAGE]: { type: 'l2i', id: LATENTS_TO_IMAGE, fp32, + is_intermediate, }, }, edges: [ @@ -228,17 +232,16 @@ export const buildLinearSDXLTextToImageGraph = ( cfg_scale, height, width, - positive_prompt: '', // set in addDynamicPromptsToGraph + positive_prompt: positivePrompt, negative_prompt: negativePrompt, model, - seed: 0, // set in addDynamicPromptsToGraph + seed, steps, rand_device: use_cpu ? 'cpu' : 'cuda', scheduler, vae: undefined, controlnets: [], loras: [], - clip_skip: clipSkip, positive_style_prompt: positiveStylePrompt, negative_style_prompt: negativeStylePrompt, }; @@ -277,8 +280,8 @@ export const buildLinearSDXLTextToImageGraph = ( // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); - // add dynamic prompts - also sets up core iteration and seed - addDynamicPromptsToGraph(state, graph); + // add IP Adapter + addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { @@ -291,5 +294,7 @@ export const buildLinearSDXLTextToImageGraph = ( addWatermarkerToGraph(state, graph); } + addSaveImageNode(state, graph); + return graph; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts index 5c534fff21..d7af045803 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts @@ -1,15 +1,15 @@ import { logger } from 'app/logging/logger'; import { RootState } from 'app/store/store'; import { NonNullableGraph } from 'features/nodes/types/types'; -import { initialGenerationState } from 'features/parameters/store/generationSlice'; import { DenoiseLatentsInvocation, ONNXTextToLatentsInvocation, } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; -import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addLoRAsToGraph } from './addLoRAsToGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -42,15 +42,13 @@ export const buildLinearTextToImageGraph = ( height, clipSkip, shouldUseCpuNoise, - shouldUseNoiseSettings, vaePrecision, seamlessXAxis, seamlessYAxis, + seed, } = state.generation; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : initialGenerationState.shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; if (!model) { log.error('No model found in state'); @@ -58,7 +56,7 @@ export const buildLinearTextToImageGraph = ( } const fp32 = vaePrecision === 'fp32'; - + const is_intermediate = true; const isUsingOnnxModel = model.model_type === 'onnx'; let modelLoaderNodeId = isUsingOnnxModel @@ -74,7 +72,7 @@ export const buildLinearTextToImageGraph = ( ? { type: 't2l_onnx', id: DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, cfg_scale, scheduler, steps, @@ -82,7 +80,7 @@ export const buildLinearTextToImageGraph = ( : { type: 'denoise_latents', id: DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, cfg_scale, scheduler, steps, @@ -108,40 +106,42 @@ export const buildLinearTextToImageGraph = ( [modelLoaderNodeId]: { type: modelLoaderNodeType, id: modelLoaderNodeId, - is_intermediate: true, + is_intermediate, model, }, [CLIP_SKIP]: { type: 'clip_skip', id: CLIP_SKIP, skipped_layers: clipSkip, - is_intermediate: true, + is_intermediate, }, [POSITIVE_CONDITIONING]: { type: isUsingOnnxModel ? 'prompt_onnx' : 'compel', id: POSITIVE_CONDITIONING, prompt: positivePrompt, - is_intermediate: true, + is_intermediate, }, [NEGATIVE_CONDITIONING]: { type: isUsingOnnxModel ? 'prompt_onnx' : 'compel', id: NEGATIVE_CONDITIONING, prompt: negativePrompt, - is_intermediate: true, + is_intermediate, }, [NOISE]: { type: 'noise', id: NOISE, + seed, width, height, use_cpu, - is_intermediate: true, + is_intermediate, }, [t2lNode.id]: t2lNode, [LATENTS_TO_IMAGE]: { type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i', id: LATENTS_TO_IMAGE, fp32, + is_intermediate, }, }, edges: [ @@ -240,10 +240,10 @@ export const buildLinearTextToImageGraph = ( cfg_scale, height, width, - positive_prompt: '', // set in addDynamicPromptsToGraph + positive_prompt: positivePrompt, negative_prompt: negativePrompt, model, - seed: 0, // set in addDynamicPromptsToGraph + seed, steps, rand_device: use_cpu ? 'cpu' : 'cuda', scheduler, @@ -276,12 +276,12 @@ export const buildLinearTextToImageGraph = ( // add LoRA support addLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId); - // add dynamic prompts - also sets up core iteration and seed - addDynamicPromptsToGraph(state, graph); - // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, DENOISE_LATENTS); + // add IP Adapter + addIPAdapterToLinearGraph(state, graph, DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -293,5 +293,7 @@ export const buildLinearTextToImageGraph = ( addWatermarkerToGraph(state, graph); } + addSaveImageNode(state, graph); + return graph; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildNodesGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildNodesGraph.ts index 71f79dbab5..7be06ac110 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildNodesGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildNodesGraph.ts @@ -55,6 +55,9 @@ export const buildNodesGraph = (nodesState: NodesState): Graph => { {} as Record, unknown> ); + // add reserved use_cache + transformedInputs['use_cache'] = node.data.useCache; + // Build this specific node const graphNode = { type, diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts index 70bd0c4058..32c46944c7 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts @@ -3,6 +3,7 @@ export const POSITIVE_CONDITIONING = 'positive_conditioning'; export const NEGATIVE_CONDITIONING = 'negative_conditioning'; export const DENOISE_LATENTS = 'denoise_latents'; export const LATENTS_TO_IMAGE = 'latents_to_image'; +export const SAVE_IMAGE = 'save_image'; export const NSFW_CHECKER = 'nsfw_checker'; export const WATERMARKER = 'invisible_watermark'; export const NOISE = 'noise'; @@ -45,6 +46,7 @@ export const MASK_RESIZE_DOWN = 'mask_resize_down'; export const COLOR_CORRECT = 'color_correct'; export const PASTE_IMAGE = 'img_paste'; export const CONTROL_NET_COLLECT = 'control_net_collect'; +export const IP_ADAPTER = 'ip_adapter'; export const DYNAMIC_PROMPT = 'dynamic_prompt'; export const IMAGE_COLLECTION = 'image_collection'; export const IMAGE_COLLECTION_ITERATE = 'image_collection_iterate'; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/helpers/craftSDXLStylePrompt.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/helpers/craftSDXLStylePrompt.ts index f46d5cc5dc..ac058abd82 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/helpers/craftSDXLStylePrompt.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/helpers/craftSDXLStylePrompt.ts @@ -1,28 +1,26 @@ import { RootState } from 'app/store/store'; -export const craftSDXLStylePrompt = ( +export const buildSDXLStylePrompts = ( state: RootState, - shouldConcatSDXLStylePrompt: boolean + overrideConcat?: boolean ) => { const { positivePrompt, negativePrompt } = state.generation; - const { positiveStylePrompt, negativeStylePrompt } = state.sdxl; + const { + positiveStylePrompt, + negativeStylePrompt, + shouldConcatSDXLStylePrompt, + } = state.sdxl; - let craftedPositiveStylePrompt = positiveStylePrompt; - let craftedNegativeStylePrompt = negativeStylePrompt; + // Construct Style Prompt + const joinedPositiveStylePrompt = + shouldConcatSDXLStylePrompt || overrideConcat + ? [positivePrompt, positiveStylePrompt].join(' ') + : positiveStylePrompt; - if (shouldConcatSDXLStylePrompt) { - if (positiveStylePrompt.length > 0) { - craftedPositiveStylePrompt = `${positivePrompt} ${positiveStylePrompt}`; - } else { - craftedPositiveStylePrompt = positivePrompt; - } + const joinedNegativeStylePrompt = + shouldConcatSDXLStylePrompt || overrideConcat + ? [negativePrompt, negativeStylePrompt].join(' ') + : negativeStylePrompt; - if (negativeStylePrompt.length > 0) { - craftedNegativeStylePrompt = `${negativePrompt} ${negativeStylePrompt}`; - } else { - craftedNegativeStylePrompt = negativePrompt; - } - } - - return { craftedPositiveStylePrompt, craftedNegativeStylePrompt }; + return { joinedPositiveStylePrompt, joinedNegativeStylePrompt }; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts index 553d0770aa..69d8d9dd4c 100644 --- a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts +++ b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts @@ -16,7 +16,7 @@ import { } from '../types/types'; import { buildInputFieldTemplate, getFieldType } from './fieldTemplateBuilders'; -const RESERVED_INPUT_FIELD_NAMES = ['id', 'type', 'metadata']; +const RESERVED_INPUT_FIELD_NAMES = ['id', 'type', 'metadata', 'use_cache']; const RESERVED_OUTPUT_FIELD_NAMES = ['type']; const RESERVED_FIELD_TYPES = [ 'WorkflowField', @@ -60,11 +60,23 @@ const isNotInDenylist = (schema: InvocationSchemaObject) => !invocationDenylist.includes(schema.properties.type.default); export const parseSchema = ( - openAPI: OpenAPIV3.Document + openAPI: OpenAPIV3.Document, + nodesAllowlistExtra: string[] | undefined = undefined, + nodesDenylistExtra: string[] | undefined = undefined ): Record => { const filteredSchemas = Object.values(openAPI.components?.schemas ?? {}) .filter(isInvocationSchemaObject) - .filter(isNotInDenylist); + .filter(isNotInDenylist) + .filter((schema) => + nodesAllowlistExtra + ? nodesAllowlistExtra.includes(schema.properties.type.default) + : true + ) + .filter((schema) => + nodesDenylistExtra + ? !nodesDenylistExtra.includes(schema.properties.type.default) + : true + ); const invocations = filteredSchemas.reduce< Record @@ -223,6 +235,8 @@ export const parseSchema = ( {} as Record ); + const useCache = schema.properties.use_cache.default; + const invocation: InvocationTemplate = { title, type, @@ -232,6 +246,7 @@ export const parseSchema = ( outputType, inputs, outputs, + useCache, }; Object.assign(invocationsAccumulator, { [type]: invocation }); diff --git a/invokeai/frontend/web/src/features/nodes/util/validateWorkflow.ts b/invokeai/frontend/web/src/features/nodes/util/validateWorkflow.ts index a3085d516b..9e5cea13f6 100644 --- a/invokeai/frontend/web/src/features/nodes/util/validateWorkflow.ts +++ b/invokeai/frontend/web/src/features/nodes/util/validateWorkflow.ts @@ -7,6 +7,7 @@ import { isWorkflowInvocationNode, } from '../types/types'; import { parseify } from 'common/util/serialize'; +import i18n from 'i18next'; export const validateWorkflow = ( workflow: Workflow, @@ -25,8 +26,14 @@ export const validateWorkflow = ( const nodeTemplate = nodeTemplates[node.data.type]; if (!nodeTemplate) { errors.push({ - message: `Node "${node.data.type}" skipped`, - issues: [`Node type "${node.data.type}" does not exist`], + message: `${i18n.t('nodes.node')} "${node.data.type}" ${i18n.t( + 'nodes.skipped' + )}`, + issues: [ + `${i18n.t('nodes.nodeType')}"${node.data.type}" ${i18n.t( + 'nodes.doesNotExist' + )}`, + ], data: node, }); return; @@ -38,9 +45,13 @@ export const validateWorkflow = ( compareVersions(nodeTemplate.version, node.data.version) !== 0 ) { errors.push({ - message: `Node "${node.data.type}" has mismatched version`, + message: `${i18n.t('nodes.node')} "${node.data.type}" ${i18n.t( + 'nodes.mismatchedVersion' + )}`, issues: [ - `Node "${node.data.type}" v${node.data.version} may be incompatible with installed v${nodeTemplate.version}`, + `${i18n.t('nodes.node')} "${node.data.type}" v${ + node.data.version + } ${i18n.t('nodes.maybeIncompatible')} v${nodeTemplate.version}`, ], data: { node, nodeTemplate: parseify(nodeTemplate) }, }); @@ -52,33 +63,49 @@ export const validateWorkflow = ( const targetNode = keyedNodes[edge.target]; const issues: string[] = []; if (!sourceNode) { - issues.push(`Output node ${edge.source} does not exist`); + issues.push( + `${i18n.t('nodes.outputNode')} ${edge.source} ${i18n.t( + 'nodes.doesNotExist' + )}` + ); } else if ( edge.type === 'default' && !(edge.sourceHandle in sourceNode.data.outputs) ) { issues.push( - `Output field "${edge.source}.${edge.sourceHandle}" does not exist` + `${i18n.t('nodes.outputNode')} "${edge.source}.${ + edge.sourceHandle + }" ${i18n.t('nodes.doesNotExist')}` ); } if (!targetNode) { - issues.push(`Input node ${edge.target} does not exist`); + issues.push( + `${i18n.t('nodes.inputNode')} ${edge.target} ${i18n.t( + 'nodes.doesNotExist' + )}` + ); } else if ( edge.type === 'default' && !(edge.targetHandle in targetNode.data.inputs) ) { issues.push( - `Input field "${edge.target}.${edge.targetHandle}" does not exist` + `${i18n.t('nodes.inputField')} "${edge.target}.${ + edge.targetHandle + }" ${i18n.t('nodes.doesNotExist')}` ); } if (!nodeTemplates[sourceNode?.data.type ?? '__UNKNOWN_NODE_TYPE__']) { issues.push( - `Source node "${edge.source}" missing template "${sourceNode?.data.type}"` + `${i18n.t('nodes.sourceNode')} "${edge.source}" ${i18n.t( + 'nodes.missingTemplate' + )} "${sourceNode?.data.type}"` ); } if (!nodeTemplates[targetNode?.data.type ?? '__UNKNOWN_NODE_TYPE__']) { issues.push( - `Source node "${edge.target}" missing template "${targetNode?.data.type}"` + `${i18n.t('nodes.sourceNode')}"${edge.target}" ${i18n.t( + 'nodes.missingTemplate' + )} "${targetNode?.data.type}"` ); } if (issues.length) { diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx index bca1402571..85b6eaa903 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx @@ -1,36 +1,68 @@ -import { Flex } from '@chakra-ui/react'; +import { Divider, Flex } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; import { RootState, stateSelector } from 'app/store/store'; import { useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import IAICollapse from 'common/components/IAICollapse'; +import { useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { ParamCpuNoiseToggle } from '../Noise/ParamCpuNoise'; +import ParamSeamless from '../Seamless/ParamSeamless'; import ParamClipSkip from './ParamClipSkip'; const selector = createSelector( stateSelector, (state: RootState) => { - const clipSkip = state.generation.clipSkip; - return { - activeLabel: clipSkip > 0 ? 'Clip Skip' : undefined, - }; + const { clipSkip, model, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise } = + state.generation; + + return { clipSkip, model, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise }; }, defaultSelectorOptions ); export default function ParamAdvancedCollapse() { - const { activeLabel } = useAppSelector(selector); - const shouldShowAdvancedOptions = useAppSelector( - (state: RootState) => state.generation.shouldShowAdvancedOptions - ); + const { clipSkip, model, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise } = + useAppSelector(selector); + const { t } = useTranslation(); + const activeLabel = useMemo(() => { + const activeLabel: string[] = []; - if (!shouldShowAdvancedOptions) { - return null; - } + if (shouldUseCpuNoise) { + activeLabel.push(t('parameters.cpuNoise')); + } else { + activeLabel.push(t('parameters.gpuNoise')); + } + + if (clipSkip > 0 && model && model.base_model !== 'sdxl') { + activeLabel.push( + t('parameters.clipSkipWithLayerCount', { layerCount: clipSkip }) + ); + } + + if (seamlessXAxis && seamlessYAxis) { + activeLabel.push(t('parameters.seamlessX&Y')); + } else if (seamlessXAxis) { + activeLabel.push(t('parameters.seamlessX')); + } else if (seamlessYAxis) { + activeLabel.push(t('parameters.seamlessY')); + } + + return activeLabel.join(', '); + }, [clipSkip, model, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise, t]); return ( - + - + + + {model && model?.base_model !== 'sdxl' && ( + <> + + + + )} + ); diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx index f51e42b6a1..bff8120b7b 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx @@ -1,5 +1,6 @@ import { RootState } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import IAISlider from 'common/components/IAISlider'; import { setClipSkip } from 'features/parameters/store/generationSlice'; import { clipSkipMap } from 'features/parameters/types/constants'; @@ -41,20 +42,26 @@ export default function ParamClipSkip() { return clipSkipMap[model.base_model].markers; }, [model]); + if (model?.base_model === 'sdxl') { + return null; + } + return ( - + + + ); } diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx index 1c1f60bc09..c5bda7c596 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx @@ -1,7 +1,8 @@ -import { Flex, Spacer, Text } from '@chakra-ui/react'; +import { Flex, FormControl, FormLabel, Spacer } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIIconButton from 'common/components/IAIIconButton'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import { canvasSelector } from 'features/canvas/store/canvasSelectors'; import { flipBoundingBoxAxes } from 'features/canvas/store/canvasSlice'; import { generationSelector } from 'features/parameters/store/generationSelectors'; @@ -92,38 +93,29 @@ export default function ParamBoundingBoxSize() { }, }} > - - - {t('parameters.aspectRatio')} - - - - } - fontSize={20} - onClick={handleToggleSize} - /> - } - isChecked={shouldLockAspectRatio} - onClick={handleLockRatio} - /> - + + + {t('parameters.aspectRatio')} + + + } + fontSize={20} + onClick={handleToggleSize} + /> + } + isChecked={shouldLockAspectRatio} + onClick={handleLockRatio} + /> + + diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceMode.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceMode.tsx index afc68c94ac..e3d6501e1d 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceMode.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceMode.tsx @@ -1,5 +1,6 @@ import type { RootState } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import { IAISelectDataType } from 'common/components/IAIMantineSearchableSelect'; import IAIMantineSelect from 'common/components/IAIMantineSelect'; import { setCanvasCoherenceMode } from 'features/parameters/store/generationSlice'; @@ -30,12 +31,14 @@ const ParamCanvasCoherenceMode = () => { }; return ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx index 5482a7e1d9..463d596a5c 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx @@ -1,5 +1,6 @@ import type { RootState } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import IAISlider from 'common/components/IAISlider'; import { setCanvasCoherenceSteps } from 'features/parameters/store/generationSlice'; import { memo } from 'react'; @@ -13,23 +14,25 @@ const ParamCanvasCoherenceSteps = () => { const { t } = useTranslation(); return ( - { - dispatch(setCanvasCoherenceSteps(v)); - }} - withInput - withSliderMarks - withReset - handleReset={() => { - dispatch(setCanvasCoherenceSteps(20)); - }} - /> + + { + dispatch(setCanvasCoherenceSteps(v)); + }} + withInput + withSliderMarks + withReset + handleReset={() => { + dispatch(setCanvasCoherenceSteps(20)); + }} + /> + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx index f478bd70fe..e5311db3a6 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx @@ -1,5 +1,6 @@ import type { RootState } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import IAISlider from 'common/components/IAISlider'; import { setCanvasCoherenceStrength } from 'features/parameters/store/generationSlice'; import { memo } from 'react'; @@ -13,23 +14,25 @@ const ParamCanvasCoherenceStrength = () => { const { t } = useTranslation(); return ( - { - dispatch(setCanvasCoherenceStrength(v)); - }} - withInput - withSliderMarks - withReset - handleReset={() => { - dispatch(setCanvasCoherenceStrength(0.3)); - }} - /> + + { + dispatch(setCanvasCoherenceStrength(v)); + }} + withInput + withSliderMarks + withReset + handleReset={() => { + dispatch(setCanvasCoherenceStrength(0.3)); + }} + /> + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx index 82b82228e2..bbadbbabf0 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx @@ -1,5 +1,6 @@ import type { RootState } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import IAISlider from 'common/components/IAISlider'; import { setMaskBlur } from 'features/parameters/store/generationSlice'; import { useTranslation } from 'react-i18next'; @@ -12,21 +13,23 @@ export default function ParamMaskBlur() { const { t } = useTranslation(); return ( - { - dispatch(setMaskBlur(v)); - }} - withInput - withSliderMarks - withReset - handleReset={() => { - dispatch(setMaskBlur(16)); - }} - /> + + { + dispatch(setMaskBlur(v)); + }} + withInput + withSliderMarks + withReset + handleReset={() => { + dispatch(setMaskBlur(16)); + }} + /> + ); } diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx index 62d0605640..df0b2ebc90 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx @@ -2,6 +2,7 @@ import { SelectItem } from '@mantine/core'; import { RootState } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import IAIMantineSelect from 'common/components/IAIMantineSelect'; import { setMaskBlurMethod } from 'features/parameters/store/generationSlice'; import { useTranslation } from 'react-i18next'; @@ -28,11 +29,13 @@ export default function ParamMaskBlurMethod() { }; return ( - + + + ); } diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx index 9ac0e3588f..cf4c9cdb0c 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx @@ -2,6 +2,7 @@ import { createSelector } from '@reduxjs/toolkit'; import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import IAIMantineSelect from 'common/components/IAIMantineSelect'; import { setInfillMethod } from 'features/parameters/store/generationSlice'; @@ -39,14 +40,16 @@ const ParamInfillMethod = () => { ); return ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx index e00d56b639..1a0e497739 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx @@ -1,6 +1,7 @@ import { createSelector } from '@reduxjs/toolkit'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect'; import { canvasSelector } from 'features/canvas/store/canvasSelectors'; import { setBoundingBoxScaleMethod } from 'features/canvas/store/canvasSlice'; @@ -35,12 +36,14 @@ const ParamScaleBeforeProcessing = () => { }; return ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx index 39ff5022d4..844bda8b3d 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx @@ -6,6 +6,7 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import IAICollapse from 'common/components/IAICollapse'; import IAIIconButton from 'common/components/IAIIconButton'; import ControlNet from 'features/controlNet/components/ControlNet'; +import IPAdapterPanel from 'features/controlNet/components/ipAdapter/IPAdapterPanel'; import ParamControlNetFeatureToggle from 'features/controlNet/components/parameters/ParamControlNetFeatureToggle'; import { controlNetAdded, @@ -14,25 +15,32 @@ import { import { getValidControlNets } from 'features/controlNet/util/getValidControlNets'; import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus'; import { map } from 'lodash-es'; -import { Fragment, memo, useCallback } from 'react'; +import { Fragment, memo, useCallback, useMemo } from 'react'; import { FaPlus } from 'react-icons/fa'; -import { - controlNetModelsAdapter, - useGetControlNetModelsQuery, -} from 'services/api/endpoints/models'; +import { useGetControlNetModelsQuery } from 'services/api/endpoints/models'; import { v4 as uuidv4 } from 'uuid'; const selector = createSelector( [stateSelector], ({ controlNet }) => { - const { controlNets, isEnabled } = controlNet; + const { controlNets, isEnabled, isIPAdapterEnabled, ipAdapterInfo } = + controlNet; const validControlNets = getValidControlNets(controlNets); + const isIPAdapterValid = ipAdapterInfo.model && ipAdapterInfo.adapterImage; + let activeLabel = undefined; - const activeLabel = - isEnabled && validControlNets.length > 0 - ? `${validControlNets.length} Active` - : undefined; + if (isEnabled && validControlNets.length > 0) { + activeLabel = `${validControlNets.length} ControlNet`; + } + + if (isIPAdapterEnabled && isIPAdapterValid) { + if (activeLabel) { + activeLabel = `${activeLabel}, IP Adapter`; + } else { + activeLabel = 'IP Adapter'; + } + } return { controlNetsArray: map(controlNets), activeLabel }; }, @@ -43,16 +51,22 @@ const ParamControlNetCollapse = () => { const { controlNetsArray, activeLabel } = useAppSelector(selector); const isControlNetDisabled = useFeatureStatus('controlNet').isFeatureDisabled; const dispatch = useAppDispatch(); - const { firstModel } = useGetControlNetModelsQuery(undefined, { - selectFromResult: (result) => { - const firstModel = result.data - ? controlNetModelsAdapter.getSelectors().selectAll(result.data)[0] - : undefined; - return { - firstModel, - }; - }, - }); + const { data: controlnetModels } = useGetControlNetModelsQuery(); + + const firstModel = useMemo(() => { + if (!controlnetModels || !Object.keys(controlnetModels.entities).length) { + return undefined; + } + const firstModelId = Object.keys(controlnetModels.entities)[0]; + + if (!firstModelId) { + return undefined; + } + + const firstModel = controlnetModels.entities[firstModelId]; + + return firstModel ? firstModel : undefined; + }, [controlnetModels]); const handleClickedAddControlNet = useCallback(() => { if (!firstModel) { @@ -101,6 +115,7 @@ const ParamControlNetCollapse = () => { ))} + ); diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamAspectRatio.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamAspectRatio.tsx index 05e0b09cee..3a5cc264e7 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamAspectRatio.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamAspectRatio.tsx @@ -1,4 +1,4 @@ -import { ButtonGroup, Flex } from '@chakra-ui/react'; +import { ButtonGroup } from '@chakra-ui/react'; import { RootState } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIButton from 'common/components/IAIButton'; @@ -29,25 +29,23 @@ export default function ParamAspectRatio() { const activeTabName = useAppSelector(activeTabNameSelector); return ( - - - {aspectRatios.map((ratio) => ( - { - dispatch(setAspectRatio(ratio.value)); - dispatch(setShouldLockAspectRatio(false)); - }} - > - {ratio.name} - - ))} - - + + {aspectRatios.map((ratio) => ( + { + dispatch(setAspectRatio(ratio.value)); + dispatch(setShouldLockAspectRatio(false)); + }} + > + {ratio.name} + + ))} + ); } diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx index 54a7ccbe65..233a32ff09 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx @@ -2,6 +2,7 @@ import { createSelector } from '@reduxjs/toolkit'; import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import IAINumberInput from 'common/components/IAINumberInput'; import IAISlider from 'common/components/IAISlider'; import { setCfgScale } from 'features/parameters/store/generationSlice'; @@ -53,31 +54,35 @@ const ParamCFGScale = () => { ); return shouldUseSliders ? ( - + + + ) : ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx index 1e203a1e45..761ec6d2e1 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx @@ -2,6 +2,7 @@ import { createSelector } from '@reduxjs/toolkit'; import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import IAINumberInput from 'common/components/IAINumberInput'; import IAISlider from 'common/components/IAISlider'; import { setIterations } from 'features/parameters/store/generationSlice'; @@ -15,8 +16,6 @@ const selector = createSelector( state.config.sd.iterations; const { iterations } = state.generation; const { shouldUseSliders } = state.ui; - const isDisabled = - state.dynamicPrompts.isEnabled && state.dynamicPrompts.combinatorial; const step = state.hotkeys.shift ? fineStep : coarseStep; @@ -28,13 +27,16 @@ const selector = createSelector( inputMax, step, shouldUseSliders, - isDisabled, }; }, defaultSelectorOptions ); -const ParamIterations = () => { +type Props = { + asSlider?: boolean; +}; + +const ParamIterations = ({ asSlider }: Props) => { const { iterations, initial, @@ -43,7 +45,6 @@ const ParamIterations = () => { inputMax, step, shouldUseSliders, - isDisabled, } = useAppSelector(selector); const dispatch = useAppDispatch(); const { t } = useTranslation(); @@ -59,32 +60,34 @@ const ParamIterations = () => { dispatch(setIterations(initial)); }, [dispatch, initial]); - return shouldUseSliders ? ( - + return asSlider || shouldUseSliders ? ( + + + ) : ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx index 2aab013f4f..fe7a13d975 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx @@ -1,6 +1,7 @@ import { Box, FormControl, useDisclosure } from '@chakra-ui/react'; import type { RootState } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import IAITextarea from 'common/components/IAITextarea'; import AddEmbeddingButton from 'features/embedding/components/AddEmbeddingButton'; import ParamEmbeddingPopover from 'features/embedding/components/ParamEmbeddingPopover'; @@ -81,18 +82,23 @@ const ParamNegativeConditioning = () => { onClose={onClose} onSelect={handleSelectEmbedding} > - + + + {!isOpen && isEmbeddingEnabled && ( { + [stateSelector], + ({ generation }) => { return { prompt: generation.positivePrompt, - activeTabName, }; }, { @@ -41,8 +33,7 @@ const promptInputSelector = createSelector( */ const ParamPositiveConditioning = () => { const dispatch = useAppDispatch(); - const { prompt, activeTabName } = useAppSelector(promptInputSelector); - const isReady = useIsReadyToInvoke(); + const { prompt } = useAppSelector(promptInputSelector); const promptRef = useRef(null); const { isOpen, onClose, onOpen } = useDisclosure(); const { t } = useTranslation(); @@ -104,23 +95,13 @@ const ParamPositiveConditioning = () => { const handleKeyDown = useCallback( (e: KeyboardEvent) => { - if (e.key === 'Enter' && e.shiftKey === false && isReady) { - e.preventDefault(); - dispatch(clampSymmetrySteps()); - dispatch(userInvoked(activeTabName)); - } if (isEmbeddingEnabled && e.key === '<') { onOpen(); } }, - [isReady, dispatch, activeTabName, onOpen, isEmbeddingEnabled] + [onOpen, isEmbeddingEnabled] ); - // const handleSelect = (e: MouseEvent) => { - // const target = e.target as HTMLTextAreaElement; - // setCaret({ start: target.selectionStart, end: target.selectionEnd }); - // }; - return ( @@ -129,17 +110,22 @@ const ParamPositiveConditioning = () => { onClose={onClose} onSelect={handleSelectEmbedding} > - + + + {!isOpen && isEmbeddingEnabled && ( diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx index da1b359b37..a44e6fb551 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx @@ -1,6 +1,7 @@ import { createSelector } from '@reduxjs/toolkit'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect'; import { generationSelector } from 'features/parameters/store/generationSelectors'; import { setScheduler } from 'features/parameters/store/generationSlice'; @@ -51,12 +52,14 @@ const ParamScheduler = () => { ); return ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx index 63700c4922..9a720c2d27 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx @@ -1,7 +1,9 @@ -import { Flex, Spacer, Text } from '@chakra-ui/react'; +import { Flex, FormControl, FormLabel, Spacer } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import IAIIconButton from 'common/components/IAIIconButton'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import { generationSelector } from 'features/parameters/store/generationSelectors'; import { setAspectRatio, @@ -30,7 +32,8 @@ const sizeOptsSelector = createSelector( width, height, }; - } + }, + defaultSelectorOptions ); export default function ParamSize() { @@ -80,44 +83,35 @@ export default function ParamSize() { }, }} > - - - {t('parameters.aspectRatio')} - - - - } - fontSize={20} - isDisabled={ - activeTabName === 'img2img' ? !shouldFitToWidthHeight : false - } - onClick={handleToggleSize} - /> - } - isChecked={shouldLockAspectRatio} - isDisabled={ - activeTabName === 'img2img' ? !shouldFitToWidthHeight : false - } - onClick={handleLockRatio} - /> - + + + {t('parameters.aspectRatio')} + + + } + fontSize={20} + isDisabled={ + activeTabName === 'img2img' ? !shouldFitToWidthHeight : false + } + onClick={handleToggleSize} + /> + } + isChecked={shouldLockAspectRatio} + isDisabled={ + activeTabName === 'img2img' ? !shouldFitToWidthHeight : false + } + onClick={handleLockRatio} + /> + + { }, [dispatch]); return shouldUseSliders ? ( - + + + ) : ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/ImageToImageStrength.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/ImageToImageStrength.tsx index 2a14ee634c..f14d4b2c5b 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/ImageToImageStrength.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/ImageToImageStrength.tsx @@ -7,6 +7,7 @@ import { setImg2imgStrength } from 'features/parameters/store/generationSlice'; import { memo, useCallback } from 'react'; import { useTranslation } from 'react-i18next'; import SubParametersWrapper from '../SubParametersWrapper'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; const selector = createSelector( [stateSelector], @@ -45,22 +46,24 @@ const ImageToImageStrength = () => { }, [dispatch, initial]); return ( - - - + + + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx index 05b5b6468a..f4d7421eed 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx @@ -21,6 +21,7 @@ import { useGetOnnxModelsQuery, } from 'services/api/endpoints/models'; import { useFeatureStatus } from '../../../../system/hooks/useFeatureStatus'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; const selector = createSelector( stateSelector, @@ -119,19 +120,23 @@ const ParamMainModelSelect = () => { /> ) : ( - 0 ? 'Select a model' : 'No models available'} - data={data} - error={data.length === 0} - disabled={data.length === 0} - onChange={handleChangeModel} - w="100%" - /> + + 0 ? 'Select a model' : 'No models available' + } + data={data} + error={data.length === 0} + disabled={data.length === 0} + onChange={handleChangeModel} + w="100%" + /> + {isSyncModelEnabled && ( - + )} diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx index 45fd7fcf57..0f98d9f384 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx @@ -1,36 +1,31 @@ -import { createSelector } from '@reduxjs/toolkit'; -import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; -import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import IAISwitch from 'common/components/IAISwitch'; import { shouldUseCpuNoiseChanged } from 'features/parameters/store/generationSlice'; -import { ChangeEvent } from 'react'; - -const selector = createSelector( - stateSelector, - (state) => { - const { shouldUseNoiseSettings, shouldUseCpuNoise } = state.generation; - return { - isDisabled: !shouldUseNoiseSettings, - shouldUseCpuNoise, - }; - }, - defaultSelectorOptions -); +import { ChangeEvent, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; export const ParamCpuNoiseToggle = () => { const dispatch = useAppDispatch(); - const { isDisabled, shouldUseCpuNoise } = useAppSelector(selector); + const shouldUseCpuNoise = useAppSelector( + (state) => state.generation.shouldUseCpuNoise + ); + const { t } = useTranslation(); - const handleChange = (e: ChangeEvent) => - dispatch(shouldUseCpuNoiseChanged(e.target.checked)); + const handleChange = useCallback( + (e: ChangeEvent) => { + dispatch(shouldUseCpuNoiseChanged(e.target.checked)); + }, + [dispatch] + ); return ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseCollapse.tsx deleted file mode 100644 index 0419ecc656..0000000000 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseCollapse.tsx +++ /dev/null @@ -1,55 +0,0 @@ -import { Flex } from '@chakra-ui/react'; -import { createSelector } from '@reduxjs/toolkit'; -import { stateSelector } from 'app/store/store'; -import { useAppSelector } from 'app/store/storeHooks'; -import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; -import IAICollapse from 'common/components/IAICollapse'; -import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus'; -import { memo } from 'react'; -import { useTranslation } from 'react-i18next'; -import { ParamCpuNoiseToggle } from './ParamCpuNoise'; -import ParamNoiseThreshold from './ParamNoiseThreshold'; -import { ParamNoiseToggle } from './ParamNoiseToggle'; -import ParamPerlinNoise from './ParamPerlinNoise'; - -const selector = createSelector( - stateSelector, - (state) => { - const { shouldUseNoiseSettings } = state.generation; - return { - activeLabel: shouldUseNoiseSettings ? 'Enabled' : undefined, - }; - }, - defaultSelectorOptions -); - -const ParamNoiseCollapse = () => { - const { t } = useTranslation(); - - const isNoiseEnabled = useFeatureStatus('noise').isFeatureEnabled; - const isPerlinNoiseEnabled = useFeatureStatus('perlinNoise').isFeatureEnabled; - const isNoiseThresholdEnabled = - useFeatureStatus('noiseThreshold').isFeatureEnabled; - - const { activeLabel } = useAppSelector(selector); - - if (!isNoiseEnabled) { - return null; - } - - return ( - - - - - {isPerlinNoiseEnabled && } - {isNoiseThresholdEnabled && } - - - ); -}; - -export default memo(ParamNoiseCollapse); diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseThreshold.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseThreshold.tsx index 3abb7532b4..7244800c41 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseThreshold.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseThreshold.tsx @@ -9,9 +9,8 @@ import { useTranslation } from 'react-i18next'; const selector = createSelector( stateSelector, (state) => { - const { shouldUseNoiseSettings, threshold } = state.generation; + const { threshold } = state.generation; return { - isDisabled: !shouldUseNoiseSettings, threshold, }; }, @@ -20,12 +19,11 @@ const selector = createSelector( export default function ParamNoiseThreshold() { const dispatch = useAppDispatch(); - const { threshold, isDisabled } = useAppSelector(selector); + const { threshold } = useAppSelector(selector); const { t } = useTranslation(); return ( { - const dispatch = useAppDispatch(); - - const shouldUseNoiseSettings = useAppSelector( - (state: RootState) => state.generation.shouldUseNoiseSettings - ); - - const handleChange = (e: ChangeEvent) => - dispatch(setShouldUseNoiseSettings(e.target.checked)); - - return ( - - ); -}; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamPerlinNoise.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamPerlinNoise.tsx index afd676223c..b5429dc292 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamPerlinNoise.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamPerlinNoise.tsx @@ -9,9 +9,8 @@ import { useTranslation } from 'react-i18next'; const selector = createSelector( stateSelector, (state) => { - const { shouldUseNoiseSettings, perlin } = state.generation; + const { perlin } = state.generation; return { - isDisabled: !shouldUseNoiseSettings, perlin, }; }, @@ -20,12 +19,11 @@ const selector = createSelector( export default function ParamPerlinNoise() { const dispatch = useAppDispatch(); - const { perlin, isDisabled } = useAppSelector(selector); + const { perlin } = useAppSelector(selector); const { t } = useTranslation(); return ( { + const { t } = useTranslation(); + + const isSeamlessEnabled = useFeatureStatus('seamless').isFeatureEnabled; + + if (!isSeamlessEnabled) { + return null; + } + + return ( + + {t('parameters.seamlessTiling')}{' '} + + + + + + + + + + ); +}; + +export default memo(ParamSeamless); diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse.tsx deleted file mode 100644 index 099090fe3f..0000000000 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse.tsx +++ /dev/null @@ -1,65 +0,0 @@ -import { Box, Flex } from '@chakra-ui/react'; -import { createSelector } from '@reduxjs/toolkit'; -import { useAppSelector } from 'app/store/storeHooks'; -import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; -import IAICollapse from 'common/components/IAICollapse'; -import { generationSelector } from 'features/parameters/store/generationSelectors'; -import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus'; -import { memo } from 'react'; -import { useTranslation } from 'react-i18next'; -import ParamSeamlessXAxis from './ParamSeamlessXAxis'; -import ParamSeamlessYAxis from './ParamSeamlessYAxis'; - -const getActiveLabel = (seamlessXAxis: boolean, seamlessYAxis: boolean) => { - if (seamlessXAxis && seamlessYAxis) { - return 'X & Y'; - } - - if (seamlessXAxis) { - return 'X'; - } - - if (seamlessYAxis) { - return 'Y'; - } -}; - -const selector = createSelector( - generationSelector, - (generation) => { - const { seamlessXAxis, seamlessYAxis } = generation; - - const activeLabel = getActiveLabel(seamlessXAxis, seamlessYAxis); - return { activeLabel }; - }, - defaultSelectorOptions -); - -const ParamSeamlessCollapse = () => { - const { t } = useTranslation(); - const { activeLabel } = useAppSelector(selector); - - const isSeamlessEnabled = useFeatureStatus('seamless').isFeatureEnabled; - - if (!isSeamlessEnabled) { - return null; - } - - return ( - - - - - - - - - - - ); -}; - -export default memo(ParamSeamlessCollapse); diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx index a1887ec896..d9ca7c6a0f 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx @@ -3,14 +3,17 @@ import { memo } from 'react'; import ParamSeed from './ParamSeed'; import ParamSeedShuffle from './ParamSeedShuffle'; import ParamSeedRandomize from './ParamSeedRandomize'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; const ParamSeedFull = () => { return ( - - - - - + + + + + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/SubParametersWrapper.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/SubParametersWrapper.tsx index 96c78b1336..2098503a1f 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/SubParametersWrapper.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/SubParametersWrapper.tsx @@ -1,27 +1,28 @@ -import { Flex, Text } from '@chakra-ui/react'; +import { Flex, Text, forwardRef } from '@chakra-ui/react'; import { ReactNode, memo } from 'react'; type SubParameterWrapperProps = { - children: ReactNode | ReactNode[]; + children: ReactNode; label?: string; }; -const SubParametersWrapper = (props: SubParameterWrapperProps) => ( - - {props.label && ( +const SubParametersWrapper = forwardRef( + (props: SubParameterWrapperProps, ref) => ( + ( > {props.label} - )} - {props.children} - + {props.children} + + ) ); SubParametersWrapper.displayName = 'SubSettingsWrapper'; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Upscale/ParamUpscaleSettings.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Upscale/ParamUpscaleSettings.tsx index c858ae66a7..12911f07a9 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Upscale/ParamUpscaleSettings.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Upscale/ParamUpscaleSettings.tsx @@ -1,13 +1,13 @@ import { Flex, useDisclosure } from '@chakra-ui/react'; import { upscaleRequested } from 'app/store/middleware/listenerMiddleware/listeners/upscaleRequested'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useAppDispatch } from 'app/store/storeHooks'; import IAIButton from 'common/components/IAIButton'; import IAIIconButton from 'common/components/IAIIconButton'; import IAIPopover from 'common/components/IAIPopover'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; +import { useIsQueueMutationInProgress } from 'features/queue/hooks/useIsQueueMutationInProgress'; import { memo, useCallback } from 'react'; import { useTranslation } from 'react-i18next'; -import { FaExpandArrowsAlt } from 'react-icons/fa'; +import { FaExpand } from 'react-icons/fa'; import { ImageDTO } from 'services/api/types'; import ParamESRGANModel from './ParamRealESRGANModel'; @@ -16,7 +16,7 @@ type Props = { imageDTO?: ImageDTO }; const ParamUpscalePopover = (props: Props) => { const { imageDTO } = props; const dispatch = useAppDispatch(); - const isBusy = useAppSelector(selectIsBusy); + const inProgress = useIsQueueMutationInProgress(); const { t } = useTranslation(); const { isOpen, onOpen, onClose } = useDisclosure(); @@ -34,8 +34,9 @@ const ParamUpscalePopover = (props: Props) => { onClose={onClose} triggerComponent={ } + icon={} aria-label={t('parameters.upscale')} /> } @@ -49,7 +50,7 @@ const ParamUpscalePopover = (props: Props) => { {t('parameters.upscaleImage')} diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx index f82b02b5af..ee8979469b 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx @@ -15,6 +15,7 @@ import IAIMantineSelectItemWithTooltip from 'common/components/IAIMantineSelectI import { vaeSelected } from 'features/parameters/store/generationSlice'; import { MODEL_TYPE_MAP } from 'features/parameters/types/constants'; import { modelIdToVAEModelParam } from 'features/parameters/util/modelIdToVAEModelParam'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; const selector = createSelector( stateSelector, @@ -93,17 +94,19 @@ const ParamVAEModelSelect = () => { ); return ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx index c57cdc1132..f71794394e 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx @@ -2,6 +2,7 @@ import { createSelector } from '@reduxjs/toolkit'; import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover'; import IAIMantineSelect from 'common/components/IAIMantineSelect'; import { vaePrecisionChanged } from 'features/parameters/store/generationSlice'; import { PrecisionParam } from 'features/parameters/types/parameterSchemas'; @@ -34,12 +35,14 @@ const ParamVAEModelSelect = () => { ); return ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/CancelButton.tsx b/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/CancelButton.tsx deleted file mode 100644 index e7bd36b931..0000000000 --- a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/CancelButton.tsx +++ /dev/null @@ -1,184 +0,0 @@ -import { - ButtonGroup, - ButtonProps, - ButtonSpinner, - Menu, - MenuButton, - MenuItemOption, - MenuList, - MenuOptionGroup, -} from '@chakra-ui/react'; -import { createSelector } from '@reduxjs/toolkit'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; -import IAIIconButton from 'common/components/IAIIconButton'; -import { systemSelector } from 'features/system/store/systemSelectors'; -import { - CancelStrategy, - SystemState, - cancelScheduled, - cancelTypeChanged, -} from 'features/system/store/systemSlice'; -import { isEqual } from 'lodash-es'; -import { memo, useCallback, useMemo } from 'react'; - -import { useHotkeys } from 'react-hotkeys-hook'; -import { useTranslation } from 'react-i18next'; -import { MdCancel, MdCancelScheduleSend } from 'react-icons/md'; - -import { ChevronDownIcon } from '@chakra-ui/icons'; -import { sessionCanceled } from 'services/api/thunks/session'; -import IAIButton from 'common/components/IAIButton'; - -const cancelButtonSelector = createSelector( - systemSelector, - (system: SystemState) => { - return { - isProcessing: system.isProcessing, - isConnected: system.isConnected, - isCancelable: system.isCancelable, - currentIteration: system.currentIteration, - totalIterations: system.totalIterations, - sessionId: system.sessionId, - cancelType: system.cancelType, - isCancelScheduled: system.isCancelScheduled, - }; - }, - { - memoizeOptions: { - resultEqualityCheck: isEqual, - }, - } -); - -type Props = Omit & { - btnGroupWidth?: string | number; - asIconButton?: boolean; -}; - -const CancelButton = (props: Props) => { - const dispatch = useAppDispatch(); - const { btnGroupWidth = 'auto', asIconButton = false, ...rest } = props; - const { - isProcessing, - isConnected, - isCancelable, - cancelType, - isCancelScheduled, - sessionId, - } = useAppSelector(cancelButtonSelector); - - const handleClickCancel = useCallback(() => { - if (!sessionId) { - return; - } - - if (cancelType === 'scheduled') { - dispatch(cancelScheduled()); - return; - } - - dispatch(sessionCanceled({ session_id: sessionId })); - }, [dispatch, sessionId, cancelType]); - - const { t } = useTranslation(); - - const handleCancelTypeChanged = useCallback( - (value: string | string[]) => { - const newCancelType = Array.isArray(value) ? value[0] : value; - dispatch(cancelTypeChanged(newCancelType as CancelStrategy)); - }, - [dispatch] - ); - - useHotkeys( - 'shift+x', - () => { - if ((isConnected || isProcessing) && isCancelable) { - handleClickCancel(); - } - }, - [isConnected, isProcessing, isCancelable] - ); - - const cancelLabel = useMemo(() => { - if (isCancelScheduled) { - return t('parameters.cancel.isScheduled'); - } - if (cancelType === 'immediate') { - return t('parameters.cancel.immediate'); - } - - return t('parameters.cancel.schedule'); - }, [t, cancelType, isCancelScheduled]); - - const cancelIcon = useMemo(() => { - if (isCancelScheduled) { - return ; - } - if (cancelType === 'immediate') { - return ; - } - - return ; - }, [cancelType, isCancelScheduled]); - - return ( - - {asIconButton ? ( - - ) : ( - - Cancel - - )} - - } - paddingX={0} - paddingY={0} - colorScheme="error" - minWidth={5} - {...rest} - /> - - - - {t('parameters.cancel.immediate')} - - - {t('parameters.cancel.schedule')} - - - - - - ); -}; - -export default memo(CancelButton); diff --git a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/InvokeButton.tsx b/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/InvokeButton.tsx deleted file mode 100644 index c70f2528bb..0000000000 --- a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/InvokeButton.tsx +++ /dev/null @@ -1,171 +0,0 @@ -import { - Box, - Divider, - Flex, - ListItem, - Text, - UnorderedList, -} from '@chakra-ui/react'; -import { createSelector } from '@reduxjs/toolkit'; -import { userInvoked } from 'app/store/actions'; -import { stateSelector } from 'app/store/store'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; -import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; -import IAIButton, { IAIButtonProps } from 'common/components/IAIButton'; -import IAIIconButton, { - IAIIconButtonProps, -} from 'common/components/IAIIconButton'; -import { useIsReadyToInvoke } from 'common/hooks/useIsReadyToInvoke'; -import { clampSymmetrySteps } from 'features/parameters/store/generationSlice'; -import ProgressBar from 'features/system/components/ProgressBar'; -import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; -import { memo, useCallback } from 'react'; -import { useHotkeys } from 'react-hotkeys-hook'; -import { useTranslation } from 'react-i18next'; -import { FaPlay } from 'react-icons/fa'; -import { useBoardName } from 'services/api/hooks/useBoardName'; - -interface InvokeButton - extends Omit { - asIconButton?: boolean; -} - -export default function InvokeButton(props: InvokeButton) { - const { asIconButton = false, sx, ...rest } = props; - const dispatch = useAppDispatch(); - const { isReady, isProcessing } = useIsReadyToInvoke(); - const activeTabName = useAppSelector(activeTabNameSelector); - - const handleInvoke = useCallback(() => { - dispatch(clampSymmetrySteps()); - dispatch(userInvoked(activeTabName)); - }, [dispatch, activeTabName]); - - const { t } = useTranslation(); - - useHotkeys( - ['ctrl+enter', 'meta+enter'], - handleInvoke, - { - enabled: () => isReady, - preventDefault: true, - enableOnFormTags: ['input', 'textarea', 'select'], - }, - [isReady, activeTabName] - ); - - return ( - - - {!isReady && ( - - - - )} - {asIconButton ? ( - } - isDisabled={!isReady} - onClick={handleInvoke} - tooltip={} - colorScheme="accent" - isLoading={isProcessing} - id="invoke-button" - data-progress={isProcessing} - sx={{ - w: 'full', - flexGrow: 1, - ...sx, - }} - {...rest} - /> - ) : ( - } - aria-label={t('parameters.invoke')} - type="submit" - data-progress={isProcessing} - isDisabled={!isReady} - onClick={handleInvoke} - colorScheme="accent" - id="invoke-button" - leftIcon={isProcessing ? undefined : } - isLoading={isProcessing} - loadingText={t('parameters.invoke')} - sx={{ - w: 'full', - flexGrow: 1, - fontWeight: 700, - ...sx, - }} - {...rest} - > - Invoke - - )} - - - ); -} - -const tooltipSelector = createSelector( - [stateSelector], - ({ gallery }) => { - const { autoAddBoardId } = gallery; - - return { - autoAddBoardId, - }; - }, - defaultSelectorOptions -); - -export const InvokeButtonTooltipContent = memo(() => { - const { isReady, reasons } = useIsReadyToInvoke(); - const { autoAddBoardId } = useAppSelector(tooltipSelector); - const autoAddBoardName = useBoardName(autoAddBoardId); - - return ( - - - {isReady ? 'Ready to Invoke' : 'Unable to Invoke'} - - {reasons.length > 0 && ( - - {reasons.map((reason, i) => ( - - {reason} - - ))} - - )} - - - Adding images to{' '} - - {autoAddBoardName || 'Uncategorized'} - - - - ); -}); - -InvokeButtonTooltipContent.displayName = 'InvokeButtonTooltipContent'; diff --git a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/ProcessButtons.tsx b/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/ProcessButtons.tsx deleted file mode 100644 index 41f1f3c918..0000000000 --- a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/ProcessButtons.tsx +++ /dev/null @@ -1,18 +0,0 @@ -import { Flex } from '@chakra-ui/react'; -import { memo } from 'react'; -import CancelButton from './CancelButton'; -import InvokeButton from './InvokeButton'; - -/** - * Buttons to start and cancel image generation. - */ -const ProcessButtons = () => { - return ( - - - - - ); -}; - -export default memo(ProcessButtons); diff --git a/invokeai/frontend/web/src/features/parameters/hooks/usePreselectedImage.ts b/invokeai/frontend/web/src/features/parameters/hooks/usePreselectedImage.ts index 62bdab616a..a14430a55d 100644 --- a/invokeai/frontend/web/src/features/parameters/hooks/usePreselectedImage.ts +++ b/invokeai/frontend/web/src/features/parameters/hooks/usePreselectedImage.ts @@ -1,7 +1,7 @@ import { skipToken } from '@reduxjs/toolkit/dist/query'; import { CoreMetadata } from 'features/nodes/types/types'; import { t } from 'i18next'; -import { useCallback, useState } from 'react'; +import { useCallback } from 'react'; import { useAppToaster } from '../../../app/components/Toaster'; import { useAppDispatch } from '../../../app/store/storeHooks'; import { @@ -13,70 +13,46 @@ import { setActiveTab } from '../../ui/store/uiSlice'; import { initialImageSelected } from '../store/actions'; import { useRecallParameters } from './useRecallParameters'; -type SelectedImage = { - imageName: string; - action: 'sendToImg2Img' | 'sendToCanvas' | 'useAllParameters'; -}; - -export const usePreselectedImage = () => { +export const usePreselectedImage = (imageName?: string) => { const dispatch = useAppDispatch(); - const [imageNameForDto, setImageNameForDto] = useState(); - const [imageNameForMetadata, setImageNameForMetadata] = useState< - string | undefined - >(); + const { recallAllParameters } = useRecallParameters(); const toaster = useAppToaster(); const { currentData: selectedImageDto } = useGetImageDTOQuery( - imageNameForDto ?? skipToken + imageName ?? skipToken ); const { currentData: selectedImageMetadata } = useGetImageMetadataQuery( - imageNameForMetadata ?? skipToken + imageName ?? skipToken ); - const handlePreselectedImage = useCallback( - (selectedImage?: SelectedImage) => { - if (!selectedImage) { - return; - } + const handleSendToCanvas = useCallback(() => { + if (selectedImageDto) { + dispatch(setInitialCanvasImage(selectedImageDto)); + dispatch(setActiveTab('unifiedCanvas')); + toaster({ + title: t('toast.sentToUnifiedCanvas'), + status: 'info', + duration: 2500, + isClosable: true, + }); + } + }, [dispatch, toaster, selectedImageDto]); - if (selectedImage.action === 'sendToCanvas') { - setImageNameForDto(selectedImage?.imageName); - if (selectedImageDto) { - dispatch(setInitialCanvasImage(selectedImageDto)); - dispatch(setActiveTab('unifiedCanvas')); - toaster({ - title: t('toast.sentToUnifiedCanvas'), - status: 'info', - duration: 2500, - isClosable: true, - }); - } - } + const handleSendToImg2Img = useCallback(() => { + if (selectedImageDto) { + dispatch(initialImageSelected(selectedImageDto)); + } + }, [dispatch, selectedImageDto]); - if (selectedImage.action === 'sendToImg2Img') { - setImageNameForDto(selectedImage?.imageName); - if (selectedImageDto) { - dispatch(initialImageSelected(selectedImageDto)); - } - } + const handleUseAllMetadata = useCallback(() => { + if (selectedImageMetadata) { + recallAllParameters(selectedImageMetadata.metadata as CoreMetadata); + } + // disabled because `recallAllParameters` changes the model, but its dep to prepare LoRAs has model as a dep. this introduces circular logic that causes infinite re-renders + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [selectedImageMetadata]); - if (selectedImage.action === 'useAllParameters') { - setImageNameForMetadata(selectedImage?.imageName); - if (selectedImageMetadata) { - recallAllParameters(selectedImageMetadata.metadata as CoreMetadata); - } - } - }, - [ - dispatch, - selectedImageDto, - selectedImageMetadata, - recallAllParameters, - toaster, - ] - ); - - return { handlePreselectedImage }; + return { handleSendToCanvas, handleSendToImg2Img, handleUseAllMetadata }; }; diff --git a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts index 203ff2cb1b..4fb9a0ce2c 100644 --- a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts +++ b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts @@ -1,6 +1,8 @@ +import { createSelector } from '@reduxjs/toolkit'; import { useAppToaster } from 'app/components/Toaster'; -import { useAppDispatch } from 'app/store/storeHooks'; -import { CoreMetadata } from 'features/nodes/types/types'; +import { stateSelector } from 'app/store/store'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { CoreMetadata, LoRAMetadataItem } from 'features/nodes/types/types'; import { refinerModelChanged, setNegativeStylePromptSDXL, @@ -15,6 +17,11 @@ import { import { useCallback } from 'react'; import { useTranslation } from 'react-i18next'; import { ImageDTO } from 'services/api/types'; +import { + loraModelsAdapter, + useGetLoRAModelsQuery, +} from '../../../services/api/endpoints/models'; +import { loraRecalled, lorasCleared } from '../../lora/store/loraSlice'; import { initialImageSelected, modelSelected } from '../store/actions'; import { setCfgScale, @@ -30,6 +37,7 @@ import { import { isValidCfgScale, isValidHeight, + isValidLoRAModel, isValidMainModel, isValidNegativePrompt, isValidPositivePrompt, @@ -46,10 +54,16 @@ import { isValidWidth, } from '../types/parameterSchemas'; +const selector = createSelector(stateSelector, ({ generation }) => { + const { model } = generation; + return { model }; +}); + export const useRecallParameters = () => { const dispatch = useAppDispatch(); const toaster = useAppToaster(); const { t } = useTranslation(); + const { model } = useAppSelector(selector); const parameterSetToast = useCallback(() => { toaster({ @@ -60,14 +74,18 @@ export const useRecallParameters = () => { }); }, [t, toaster]); - const parameterNotSetToast = useCallback(() => { - toaster({ - title: t('toast.parameterNotSet'), - status: 'warning', - duration: 2500, - isClosable: true, - }); - }, [t, toaster]); + const parameterNotSetToast = useCallback( + (description?: string) => { + toaster({ + title: t('toast.parameterNotSet'), + description, + status: 'warning', + duration: 2500, + isClosable: true, + }); + }, + [t, toaster] + ); const allParameterSetToast = useCallback(() => { toaster({ @@ -78,14 +96,18 @@ export const useRecallParameters = () => { }); }, [t, toaster]); - const allParameterNotSetToast = useCallback(() => { - toaster({ - title: t('toast.parametersNotSet'), - status: 'warning', - duration: 2500, - isClosable: true, - }); - }, [t, toaster]); + const allParameterNotSetToast = useCallback( + (description?: string) => { + toaster({ + title: t('toast.parametersNotSet'), + status: 'warning', + description, + duration: 2500, + isClosable: true, + }); + }, + [t, toaster] + ); /** * Recall both prompts with toast @@ -307,6 +329,67 @@ export const useRecallParameters = () => { [dispatch, parameterSetToast, parameterNotSetToast] ); + /** + * Recall LoRA with toast + */ + + const { loras } = useGetLoRAModelsQuery(undefined, { + selectFromResult: (result) => ({ + loras: result.data + ? loraModelsAdapter.getSelectors().selectAll(result.data) + : [], + }), + }); + + const prepareLoRAMetadataItem = useCallback( + (loraMetadataItem: LoRAMetadataItem) => { + if (!isValidLoRAModel(loraMetadataItem.lora)) { + return { lora: null, error: 'Invalid LoRA model' }; + } + + const { base_model, model_name } = loraMetadataItem.lora; + + const matchingLoRA = loras.find( + (l) => l.base_model === base_model && l.model_name === model_name + ); + + if (!matchingLoRA) { + return { lora: null, error: 'LoRA model is not installed' }; + } + + const isCompatibleBaseModel = + matchingLoRA?.base_model === model?.base_model; + + if (!isCompatibleBaseModel) { + return { + lora: null, + error: 'LoRA incompatible with currently-selected model', + }; + } + + return { lora: matchingLoRA, error: null }; + }, + [loras, model?.base_model] + ); + + const recallLoRA = useCallback( + (loraMetadataItem: LoRAMetadataItem) => { + const result = prepareLoRAMetadataItem(loraMetadataItem); + + if (!result.lora) { + parameterNotSetToast(result.error); + return; + } + + dispatch( + loraRecalled({ ...result.lora, weight: loraMetadataItem.weight }) + ); + + parameterSetToast(); + }, + [prepareLoRAMetadataItem, dispatch, parameterSetToast, parameterNotSetToast] + ); + /* * Sets image as initial image with toast */ @@ -344,6 +427,7 @@ export const useRecallParameters = () => { refiner_positive_aesthetic_score, refiner_negative_aesthetic_score, refiner_start, + loras, } = metadata; if (isValidCfgScale(cfg_scale)) { @@ -425,9 +509,22 @@ export const useRecallParameters = () => { dispatch(setRefinerStart(refiner_start)); } + dispatch(lorasCleared()); + loras?.forEach((lora) => { + const result = prepareLoRAMetadataItem(lora); + if (result.lora) { + dispatch(loraRecalled({ ...result.lora, weight: lora.weight })); + } + }); + allParameterSetToast(); }, - [allParameterNotSetToast, allParameterSetToast, dispatch] + [ + allParameterNotSetToast, + allParameterSetToast, + dispatch, + prepareLoRAMetadataItem, + ] ); return { @@ -444,6 +541,7 @@ export const useRecallParameters = () => { recallWidth, recallHeight, recallStrength, + recallLoRA, recallAllParameters, sendToImageToImage, }; diff --git a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts index 50d9894b27..ea6aaf28ca 100644 --- a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts +++ b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts @@ -46,7 +46,6 @@ export interface GenerationState { shouldFitToWidthHeight: boolean; shouldGenerateVariations: boolean; shouldRandomizeSeed: boolean; - shouldUseNoiseSettings: boolean; steps: StepsParam; threshold: number; infillTileSize: number; @@ -80,7 +79,7 @@ export const initialGenerationState: GenerationState = { scheduler: 'euler', maskBlur: 16, maskBlurMethod: 'box', - canvasCoherenceMode: 'edge', + canvasCoherenceMode: 'unmasked', canvasCoherenceSteps: 20, canvasCoherenceStrength: 0.3, seed: 0, @@ -88,7 +87,6 @@ export const initialGenerationState: GenerationState = { shouldFitToWidthHeight: true, shouldGenerateVariations: false, shouldRandomizeSeed: true, - shouldUseNoiseSettings: false, steps: 50, threshold: 0, infillTileSize: 32, @@ -244,9 +242,6 @@ export const generationSlice = createSlice({ setVerticalSymmetrySteps: (state, action: PayloadAction) => { state.verticalSymmetrySteps = action.payload; }, - setShouldUseNoiseSettings: (state, action: PayloadAction) => { - state.shouldUseNoiseSettings = action.payload; - }, initialImageChanged: (state, action: PayloadAction) => { const { image_name, width, height } = action.payload; state.initialImage = { imageName: image_name, width, height }; @@ -278,12 +273,6 @@ export const generationSlice = createSlice({ shouldUseCpuNoiseChanged: (state, action: PayloadAction) => { state.shouldUseCpuNoise = action.payload; }, - setShouldShowAdvancedOptions: (state, action: PayloadAction) => { - state.shouldShowAdvancedOptions = action.payload; - if (!action.payload) { - state.clipSkip = 0; - } - }, setAspectRatio: (state, action: PayloadAction) => { const newAspectRatio = action.payload; state.aspectRatio = newAspectRatio; @@ -313,12 +302,6 @@ export const generationSlice = createSlice({ } } }); - builder.addCase(setShouldShowAdvancedOptions, (state, action) => { - const advancedOptionsStatus = action.payload; - if (!advancedOptionsStatus) { - state.clipSkip = 0; - } - }); }, }); @@ -359,12 +342,10 @@ export const { initialImageChanged, modelChanged, vaeSelected, - setShouldUseNoiseSettings, setSeamlessXAxis, setSeamlessYAxis, setClipSkip, shouldUseCpuNoiseChanged, - setShouldShowAdvancedOptions, setAspectRatio, setShouldLockAspectRatio, vaePrecisionChanged, diff --git a/invokeai/frontend/web/src/features/parameters/types/constants.ts b/invokeai/frontend/web/src/features/parameters/types/constants.ts index dd0e738eeb..4494d235af 100644 --- a/invokeai/frontend/web/src/features/parameters/types/constants.ts +++ b/invokeai/frontend/web/src/features/parameters/types/constants.ts @@ -1,6 +1,7 @@ import { components } from 'services/api/schema'; export const MODEL_TYPE_MAP = { + any: 'Any', 'sd-1': 'Stable Diffusion 1.x', 'sd-2': 'Stable Diffusion 2.x', sdxl: 'Stable Diffusion XL', @@ -8,6 +9,7 @@ export const MODEL_TYPE_MAP = { }; export const MODEL_TYPE_SHORT_MAP = { + any: 'Any', 'sd-1': 'SD1', 'sd-2': 'SD2', sdxl: 'SDXL', @@ -15,6 +17,10 @@ export const MODEL_TYPE_SHORT_MAP = { }; export const clipSkipMap = { + any: { + maxClip: 0, + markers: [], + }, 'sd-1': { maxClip: 12, markers: [0, 1, 2, 3, 4, 8, 12], diff --git a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts index 5a77231739..1b29993712 100644 --- a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts +++ b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts @@ -210,7 +210,13 @@ export type HeightParam = z.infer; export const isValidHeight = (val: unknown): val is HeightParam => zHeight.safeParse(val).success; -export const zBaseModel = z.enum(['sd-1', 'sd-2', 'sdxl', 'sdxl-refiner']); +export const zBaseModel = z.enum([ + 'any', + 'sd-1', + 'sd-2', + 'sdxl', + 'sdxl-refiner', +]); export type BaseModelParam = z.infer; @@ -323,7 +329,17 @@ export type ControlNetModelParam = z.infer; export const isValidControlNetModel = ( val: unknown ): val is ControlNetModelParam => zControlNetModel.safeParse(val).success; - +/** + * Zod schema for IP-Adapter models + */ +export const zIPAdapterModel = z.object({ + model_name: z.string().min(1), + base_model: zBaseModel, +}); +/** + * Type alias for model parameter, inferred from its zod schema + */ +export type IPAdapterModelParam = z.infer; /** * Zod schema for l2l strength parameter */ diff --git a/invokeai/frontend/web/src/features/parameters/util/modelIdToIPAdapterModelParams.ts b/invokeai/frontend/web/src/features/parameters/util/modelIdToIPAdapterModelParams.ts new file mode 100644 index 0000000000..4d58046545 --- /dev/null +++ b/invokeai/frontend/web/src/features/parameters/util/modelIdToIPAdapterModelParams.ts @@ -0,0 +1,29 @@ +import { logger } from 'app/logging/logger'; +import { zIPAdapterModel } from 'features/parameters/types/parameterSchemas'; +import { IPAdapterModelField } from 'services/api/types'; + +export const modelIdToIPAdapterModelParam = ( + ipAdapterModelId: string +): IPAdapterModelField | undefined => { + const log = logger('models'); + const [base_model, _model_type, model_name] = ipAdapterModelId.split('/'); + + const result = zIPAdapterModel.safeParse({ + base_model, + model_name, + }); + + if (!result.success) { + log.error( + { + ipAdapterModelId, + errors: result.error.format(), + }, + 'Failed to parse IP-Adapter model id' + ); + + return; + } + + return result.data; +}; diff --git a/invokeai/frontend/web/src/features/parameters/util/useCoreParametersCollapseLabel.ts b/invokeai/frontend/web/src/features/parameters/util/useCoreParametersCollapseLabel.ts new file mode 100644 index 0000000000..3d17ae47ea --- /dev/null +++ b/invokeai/frontend/web/src/features/parameters/util/useCoreParametersCollapseLabel.ts @@ -0,0 +1,34 @@ +import { useAppSelector } from 'app/store/storeHooks'; +import { useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; + +export const useCoreParametersCollapseLabel = () => { + const { t } = useTranslation(); + const shouldRandomizeSeed = useAppSelector( + (state) => state.generation.shouldRandomizeSeed + ); + const iterations = useAppSelector((state) => state.generation.iterations); + + const iterationsLabel = useMemo(() => { + if (iterations === 1) { + return t('parameters.iterationsWithCount_one', { count: 1 }); + } else { + return t('parameters.iterationsWithCount_other', { count: iterations }); + } + }, [iterations, t]); + + const seedLabel = useMemo(() => { + if (shouldRandomizeSeed) { + return t('parameters.randomSeed'); + } else { + return t('parameters.manualSeed'); + } + }, [shouldRandomizeSeed, t]); + + const iterationsAndSeedLabel = useMemo( + () => [iterationsLabel, seedLabel].join(', '), + [iterationsLabel, seedLabel] + ); + + return { iterationsAndSeedLabel, iterationsLabel, seedLabel }; +}; diff --git a/invokeai/frontend/web/src/features/queue/components/CancelCurrentQueueItemButton.tsx b/invokeai/frontend/web/src/features/queue/components/CancelCurrentQueueItemButton.tsx new file mode 100644 index 0000000000..8b883a9bb2 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/CancelCurrentQueueItemButton.tsx @@ -0,0 +1,33 @@ +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { FaTimes } from 'react-icons/fa'; +import { useCancelCurrentQueueItem } from '../hooks/useCancelCurrentQueueItem'; +import QueueButton from './common/QueueButton'; +import { ChakraProps } from '@chakra-ui/react'; + +type Props = { + asIconButton?: boolean; + sx?: ChakraProps['sx']; +}; + +const CancelCurrentQueueItemButton = ({ asIconButton, sx }: Props) => { + const { t } = useTranslation(); + const { cancelQueueItem, isLoading, isDisabled } = + useCancelCurrentQueueItem(); + + return ( + } + onClick={cancelQueueItem} + colorScheme="error" + sx={sx} + /> + ); +}; + +export default memo(CancelCurrentQueueItemButton); diff --git a/invokeai/frontend/web/src/features/queue/components/ClearInvocationCacheButton.tsx b/invokeai/frontend/web/src/features/queue/components/ClearInvocationCacheButton.tsx new file mode 100644 index 0000000000..941bc88125 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/ClearInvocationCacheButton.tsx @@ -0,0 +1,22 @@ +import IAIButton from 'common/components/IAIButton'; +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useClearInvocationCache } from '../hooks/useClearInvocationCache'; + +const ClearInvocationCacheButton = () => { + const { t } = useTranslation(); + const { clearInvocationCache, isDisabled, isLoading } = + useClearInvocationCache(); + + return ( + + {t('invocationCache.clear')} + + ); +}; + +export default memo(ClearInvocationCacheButton); diff --git a/invokeai/frontend/web/src/features/queue/components/ClearQueueButton.tsx b/invokeai/frontend/web/src/features/queue/components/ClearQueueButton.tsx new file mode 100644 index 0000000000..3de9f96142 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/ClearQueueButton.tsx @@ -0,0 +1,43 @@ +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { FaTrash } from 'react-icons/fa'; +import { useClearQueue } from '../hooks/useClearQueue'; +import QueueButton from './common/QueueButton'; +import { ChakraProps, Text } from '@chakra-ui/react'; +import IAIAlertDialog from 'common/components/IAIAlertDialog'; + +type Props = { + asIconButton?: boolean; + sx?: ChakraProps['sx']; +}; + +const ClearQueueButton = ({ asIconButton, sx }: Props) => { + const { t } = useTranslation(); + const { clearQueue, isLoading, isDisabled } = useClearQueue(); + + return ( + } + colorScheme="error" + sx={sx} + /> + } + > + {t('queue.clearQueueAlertDialog')} +
+ {t('queue.clearQueueAlertDialog2')} + + ); +}; + +export default memo(ClearQueueButton); diff --git a/invokeai/frontend/web/src/features/queue/components/CurrentQueueItemCard.tsx b/invokeai/frontend/web/src/features/queue/components/CurrentQueueItemCard.tsx new file mode 100644 index 0000000000..2f7fc6fd8b --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/CurrentQueueItemCard.tsx @@ -0,0 +1,18 @@ +import { memo } from 'react'; +import QueueItemCard from './common/QueueItemCard'; +import { useGetCurrentQueueItemQuery } from 'services/api/endpoints/queue'; +import { useTranslation } from 'react-i18next'; + +const CurrentQueueItemCard = () => { + const { t } = useTranslation(); + const { data: currentQueueItemData } = useGetCurrentQueueItemQuery(); + + return ( + + ); +}; + +export default memo(CurrentQueueItemCard); diff --git a/invokeai/frontend/web/src/features/queue/components/InvocationCacheStatus.tsx b/invokeai/frontend/web/src/features/queue/components/InvocationCacheStatus.tsx new file mode 100644 index 0000000000..423ab09376 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/InvocationCacheStatus.tsx @@ -0,0 +1,55 @@ +import { ButtonGroup } from '@chakra-ui/react'; +import { useAppSelector } from 'app/store/storeHooks'; +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useGetInvocationCacheStatusQuery } from 'services/api/endpoints/appInfo'; +import { useGetQueueStatusQuery } from 'services/api/endpoints/queue'; +import ClearInvocationCacheButton from './ClearInvocationCacheButton'; +import ToggleInvocationCacheButton from './ToggleInvocationCacheButton'; +import StatusStatGroup from './common/StatusStatGroup'; +import StatusStatItem from './common/StatusStatItem'; + +const InvocationCacheStatus = () => { + const { t } = useTranslation(); + const isConnected = useAppSelector((state) => state.system.isConnected); + const { data: queueStatus } = useGetQueueStatusQuery(undefined); + const { data: cacheStatus } = useGetInvocationCacheStatusQuery(undefined, { + pollingInterval: + isConnected && + queueStatus?.processor.is_started && + queueStatus?.queue.pending > 0 + ? 5000 + : 0, + }); + + return ( + + + + + + + + + + + ); +}; + +export default memo(InvocationCacheStatus); diff --git a/invokeai/frontend/web/src/features/queue/components/NextQueueItemCard.tsx b/invokeai/frontend/web/src/features/queue/components/NextQueueItemCard.tsx new file mode 100644 index 0000000000..f9b9e874ab --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/NextQueueItemCard.tsx @@ -0,0 +1,18 @@ +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useGetNextQueueItemQuery } from 'services/api/endpoints/queue'; +import QueueItemCard from './common/QueueItemCard'; + +const NextQueueItemCard = () => { + const { t } = useTranslation(); + const { data: nextQueueItemData } = useGetNextQueueItemQuery(); + + return ( + + ); +}; + +export default memo(NextQueueItemCard); diff --git a/invokeai/frontend/web/src/features/queue/components/PauseProcessorButton.tsx b/invokeai/frontend/web/src/features/queue/components/PauseProcessorButton.tsx new file mode 100644 index 0000000000..cafb4bb667 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/PauseProcessorButton.tsx @@ -0,0 +1,29 @@ +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { FaPause } from 'react-icons/fa'; +import { usePauseProcessor } from '../hooks/usePauseProcessor'; +import QueueButton from './common/QueueButton'; + +type Props = { + asIconButton?: boolean; +}; + +const PauseProcessorButton = ({ asIconButton }: Props) => { + const { t } = useTranslation(); + const { pauseProcessor, isLoading, isDisabled } = usePauseProcessor(); + + return ( + } + onClick={pauseProcessor} + colorScheme="gold" + /> + ); +}; + +export default memo(PauseProcessorButton); diff --git a/invokeai/frontend/web/src/features/queue/components/PruneQueueButton.tsx b/invokeai/frontend/web/src/features/queue/components/PruneQueueButton.tsx new file mode 100644 index 0000000000..2af234d42c --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/PruneQueueButton.tsx @@ -0,0 +1,29 @@ +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { BsStars } from 'react-icons/bs'; +import { usePruneQueue } from '../hooks/usePruneQueue'; +import QueueButton from './common/QueueButton'; + +type Props = { + asIconButton?: boolean; +}; + +const PruneQueueButton = ({ asIconButton }: Props) => { + const { t } = useTranslation(); + const { pruneQueue, isLoading, finishedCount, isDisabled } = usePruneQueue(); + + return ( + } + onClick={pruneQueue} + colorScheme="blue" + /> + ); +}; + +export default memo(PruneQueueButton); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueBackButton.tsx b/invokeai/frontend/web/src/features/queue/components/QueueBackButton.tsx new file mode 100644 index 0000000000..fda54db26b --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueBackButton.tsx @@ -0,0 +1,32 @@ +import { ChakraProps } from '@chakra-ui/react'; +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useQueueBack } from '../hooks/useQueueBack'; +import EnqueueButtonTooltip from './QueueButtonTooltip'; +import QueueButton from './common/QueueButton'; +import GreyscaleInvokeAIIcon from 'common/components/GreyscaleInvokeAIIcon'; + +type Props = { + asIconButton?: boolean; + sx?: ChakraProps['sx']; +}; + +const QueueBackButton = ({ asIconButton, sx }: Props) => { + const { t } = useTranslation(); + const { queueBack, isLoading, isDisabled } = useQueueBack(); + return ( + } + sx={sx} + icon={asIconButton ? : undefined} + /> + ); +}; + +export default memo(QueueBackButton); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueButtonTooltip.tsx b/invokeai/frontend/web/src/features/queue/components/QueueButtonTooltip.tsx new file mode 100644 index 0000000000..eccb2d4628 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueButtonTooltip.tsx @@ -0,0 +1,82 @@ +import { Divider, Flex, ListItem, Text, UnorderedList } from '@chakra-ui/react'; +import { createSelector } from '@reduxjs/toolkit'; +import { stateSelector } from 'app/store/store'; +import { useAppSelector } from 'app/store/storeHooks'; +import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; +import { useIsReadyToEnqueue } from 'common/hooks/useIsReadyToEnqueue'; +import { memo, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useEnqueueBatchMutation } from 'services/api/endpoints/queue'; +import { useBoardName } from 'services/api/hooks/useBoardName'; + +const tooltipSelector = createSelector( + [stateSelector], + ({ gallery }) => { + const { autoAddBoardId } = gallery; + return { + autoAddBoardId, + }; + }, + defaultSelectorOptions +); + +type Props = { + prepend?: boolean; +}; + +const QueueButtonTooltipContent = ({ prepend = false }: Props) => { + const { t } = useTranslation(); + const { isReady, reasons } = useIsReadyToEnqueue(); + const { autoAddBoardId } = useAppSelector(tooltipSelector); + const autoAddBoardName = useBoardName(autoAddBoardId); + const [_, { isLoading }] = useEnqueueBatchMutation({ + fixedCacheKey: 'enqueueBatch', + }); + + const label = useMemo(() => { + if (isLoading) { + return t('queue.enqueueing'); + } + if (isReady) { + if (prepend) { + return t('queue.queueFront'); + } + return t('queue.queueBack'); + } + return t('queue.notReady'); + }, [isLoading, isReady, prepend, t]); + + return ( + + {label} + {reasons.length > 0 && ( + + {reasons.map((reason, i) => ( + + {reason} + + ))} + + )} + + + Adding images to{' '} + + {autoAddBoardName || 'Uncategorized'} + + + + ); +}; + +export default memo(QueueButtonTooltipContent); + +const StyledDivider = memo(() => ( + +)); + +StyledDivider.displayName = 'StyledDivider'; diff --git a/invokeai/frontend/web/src/features/queue/components/QueueControls.tsx b/invokeai/frontend/web/src/features/queue/components/QueueControls.tsx new file mode 100644 index 0000000000..b19b2425b2 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueControls.tsx @@ -0,0 +1,100 @@ +import { Button, ButtonGroup, Flex, Spacer } from '@chakra-ui/react'; +import { useAppDispatch } from 'app/store/storeHooks'; +import CancelCurrentQueueItemButton from 'features/queue/components/CancelCurrentQueueItemButton'; +import ClearQueueButton from 'features/queue/components/ClearQueueButton'; +import PauseProcessorButton from 'features/queue/components/PauseProcessorButton'; +import QueueBackButton from 'features/queue/components/QueueBackButton'; +import QueueFrontButton from 'features/queue/components/QueueFrontButton'; +import ResumeProcessorButton from 'features/queue/components/ResumeProcessorButton'; +import ProgressBar from 'features/system/components/ProgressBar'; +import { setActiveTab } from 'features/ui/store/uiSlice'; +import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useGetQueueStatusQuery } from 'services/api/endpoints/queue'; +import { useFeatureStatus } from '../../system/hooks/useFeatureStatus'; + +const QueueControls = () => { + const isPauseEnabled = useFeatureStatus('pauseQueue').isFeatureEnabled; + const isResumeEnabled = useFeatureStatus('resumeQueue').isFeatureEnabled; + const isPrependEnabled = useFeatureStatus('prependQueue').isFeatureEnabled; + return ( + + + + + {isPrependEnabled ? : <>} + + + + {isResumeEnabled ? : <>} + {isPauseEnabled ? : <>} + + + + + + + + + ); +}; + +export default memo(QueueControls); + +const QueueCounts = memo(() => { + const { t } = useTranslation(); + const dispatch = useAppDispatch(); + const { hasItems, pending } = useGetQueueStatusQuery(undefined, { + selectFromResult: ({ data }) => { + if (!data) { + return { + hasItems: false, + pending: 0, + }; + } + + const { pending, in_progress } = data.queue; + + return { + hasItems: pending + in_progress > 0, + pending, + }; + }, + }); + + const handleClick = useCallback(() => { + dispatch(setActiveTab('queue')); + }, [dispatch]); + + return ( + + + + + ); +}); + +QueueCounts.displayName = 'QueueCounts'; diff --git a/invokeai/frontend/web/src/features/queue/components/QueueFrontButton.tsx b/invokeai/frontend/web/src/features/queue/components/QueueFrontButton.tsx new file mode 100644 index 0000000000..09ddd47ac0 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueFrontButton.tsx @@ -0,0 +1,32 @@ +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { FaBoltLightning } from 'react-icons/fa6'; +import { useQueueFront } from '../hooks/useQueueFront'; +import EnqueueButtonTooltip from './QueueButtonTooltip'; +import QueueButton from './common/QueueButton'; +import { ChakraProps } from '@chakra-ui/react'; + +type Props = { + asIconButton?: boolean; + sx?: ChakraProps['sx']; +}; + +const QueueFrontButton = ({ asIconButton, sx }: Props) => { + const { t } = useTranslation(); + const { queueFront, isLoading, isDisabled } = useQueueFront(); + return ( + } + icon={} + sx={sx} + /> + ); +}; + +export default memo(QueueFrontButton); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemComponent.tsx b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemComponent.tsx new file mode 100644 index 0000000000..7f4fd9bc9b --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemComponent.tsx @@ -0,0 +1,157 @@ +import { + ButtonGroup, + ChakraProps, + Collapse, + Flex, + Text, +} from '@chakra-ui/react'; +import IAIIconButton from 'common/components/IAIIconButton'; +import { useCancelQueueItem } from 'features/queue/hooks/useCancelQueueItem'; +import { getSecondsFromTimestamps } from 'features/queue/util/getSecondsFromTimestamps'; +import { MouseEvent, memo, useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { FaTimes } from 'react-icons/fa'; +import { SessionQueueItemDTO } from 'services/api/types'; +import QueueStatusBadge from '../common/QueueStatusBadge'; +import QueueItemDetail from './QueueItemDetail'; +import { COLUMN_WIDTHS } from './constants'; +import { ListContext } from './types'; + +const selectedStyles = { bg: 'base.300', _dark: { bg: 'base.750' } }; + +type InnerItemProps = { + index: number; + item: SessionQueueItemDTO; + context: ListContext; +}; + +const sx: ChakraProps['sx'] = { + _hover: selectedStyles, + "&[aria-selected='true']": selectedStyles, +}; + +const QueueItemComponent = ({ index, item, context }: InnerItemProps) => { + const { t } = useTranslation(); + const handleToggle = useCallback(() => { + context.toggleQueueItem(item.item_id); + }, [context, item.item_id]); + const { cancelQueueItem, isLoading } = useCancelQueueItem(item.item_id); + const handleCancelQueueItem = useCallback( + (e: MouseEvent) => { + e.stopPropagation(); + cancelQueueItem(); + }, + [cancelQueueItem] + ); + const isOpen = useMemo( + () => context.openQueueItems.includes(item.item_id), + [context.openQueueItems, item.item_id] + ); + + const executionTime = useMemo(() => { + if (!item.completed_at || !item.started_at) { + return; + } + const seconds = getSecondsFromTimestamps( + item.started_at, + item.completed_at + ); + return `${seconds}s`; + }, [item]); + + const isCanceled = useMemo( + () => ['canceled', 'completed', 'failed'].includes(item.status), + [item.status] + ); + + return ( + + + + {index + 1} + + + + + + {executionTime || '-'} + + + + {item.batch_id} + + + + {item.field_values && ( + + {item.field_values + .filter((v) => v.node_path !== 'metadata_accumulator') + .map(({ node_path, field_name, value }) => ( + + + {node_path}.{field_name} + + : {value} + + ))} + + )} + + + + } + /> + + + + + + + + + ); +}; + +export default memo(QueueItemComponent); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemDetail.tsx b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemDetail.tsx new file mode 100644 index 0000000000..7ce9733aae --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemDetail.tsx @@ -0,0 +1,162 @@ +import { ButtonGroup, Flex, Heading, Spinner, Text } from '@chakra-ui/react'; +import IAIButton from 'common/components/IAIButton'; +import DataViewer from 'features/gallery/components/ImageMetadataViewer/DataViewer'; +import ScrollableContent from 'features/nodes/components/sidePanel/ScrollableContent'; +import { useCancelBatch } from 'features/queue/hooks/useCancelBatch'; +import { useCancelQueueItem } from 'features/queue/hooks/useCancelQueueItem'; +import { getSecondsFromTimestamps } from 'features/queue/util/getSecondsFromTimestamps'; +import { ReactNode, memo, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { FaTimes } from 'react-icons/fa'; +import { useGetQueueItemQuery } from 'services/api/endpoints/queue'; +import { SessionQueueItemDTO } from 'services/api/types'; + +type Props = { + queueItemDTO: SessionQueueItemDTO; +}; + +const QueueItemComponent = ({ queueItemDTO }: Props) => { + const { session_id, batch_id, item_id } = queueItemDTO; + const { t } = useTranslation(); + const { + cancelBatch, + isLoading: isLoadingCancelBatch, + isCanceled, + } = useCancelBatch(batch_id); + + const { cancelQueueItem, isLoading: isLoadingCancelQueueItem } = + useCancelQueueItem(item_id); + + const { data: queueItem } = useGetQueueItemQuery(item_id); + + const statusAndTiming = useMemo(() => { + if (!queueItem) { + return t('common.loading'); + } + if (!queueItem.completed_at || !queueItem.started_at) { + return t(`queue.${queueItem.status}`); + } + const seconds = getSecondsFromTimestamps( + queueItem.started_at, + queueItem.completed_at + ); + if (queueItem.status === 'completed') { + return `${t('queue.completedIn')} ${seconds}${seconds === 1 ? '' : 's'}`; + } + return `${seconds}s`; + }, [queueItem, t]); + + return ( + + + + + + + + } + colorScheme="error" + > + {t('queue.cancelItem')} + + } + colorScheme="error" + > + {t('queue.cancelBatch')} + + + + {queueItem?.error && ( + + + Error + + 
{queueItem.error}
+ + )} + + {queueItem ? ( + + + + ) : ( + + )} + + + ); +}; + +export default memo(QueueItemComponent); + +type QueueItemDataProps = { label: string; data: ReactNode }; + +const QueueItemData = ({ label, data }: QueueItemDataProps) => { + return ( + + + {label} + + + {data} + + + ); +}; diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueList.tsx b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueList.tsx new file mode 100644 index 0000000000..dea1443489 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueList.tsx @@ -0,0 +1,162 @@ +import { Flex, Heading } from '@chakra-ui/react'; +import { createSelector } from '@reduxjs/toolkit'; +import { stateSelector } from 'app/store/store'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; +import { + listCursorChanged, + listPriorityChanged, +} from 'features/queue/store/queueSlice'; +import { + UseOverlayScrollbarsParams, + useOverlayScrollbars, +} from 'overlayscrollbars-react'; +import { memo, useCallback, useEffect, useMemo, useRef, useState } from 'react'; +import { useTranslation } from 'react-i18next'; +import { Components, ItemContent, Virtuoso } from 'react-virtuoso'; +import { + queueItemsAdapter, + useListQueueItemsQuery, +} from 'services/api/endpoints/queue'; +import { SessionQueueItemDTO } from 'services/api/types'; +import QueueItemComponent from './QueueItemComponent'; +import QueueListComponent from './QueueListComponent'; +import QueueListHeader from './QueueListHeader'; +import { ListContext } from './types'; + +// eslint-disable-next-line @typescript-eslint/no-explicit-any +type TableVirtuosoScrollerRef = (ref: HTMLElement | Window | null) => any; + +const overlayScrollbarsConfig: UseOverlayScrollbarsParams = { + defer: true, + options: { + scrollbars: { + visibility: 'auto', + autoHide: 'scroll', + autoHideDelay: 1300, + theme: 'os-theme-dark', + }, + overflow: { x: 'hidden' }, + }, +}; + +const selector = createSelector( + stateSelector, + ({ queue }) => { + const { listCursor, listPriority } = queue; + return { listCursor, listPriority }; + }, + defaultSelectorOptions +); + +const computeItemKey = (index: number, item: SessionQueueItemDTO): number => + item.item_id; + +const components: Components = { + List: QueueListComponent, +}; + +const itemContent: ItemContent = ( + index, + item, + context +) => ; + +const QueueList = () => { + const { listCursor, listPriority } = useAppSelector(selector); + const dispatch = useAppDispatch(); + const rootRef = useRef(null); + const [scroller, setScroller] = useState(null); + const [initialize, osInstance] = useOverlayScrollbars( + overlayScrollbarsConfig + ); + const { t } = useTranslation(); + + useEffect(() => { + const { current: root } = rootRef; + if (scroller && root) { + initialize({ + target: root, + elements: { + viewport: scroller, + }, + }); + } + return () => osInstance()?.destroy(); + }, [scroller, initialize, osInstance]); + + const { data: listQueueItemsData } = useListQueueItemsQuery({ + cursor: listCursor, + priority: listPriority, + }); + + const queueItems = useMemo(() => { + if (!listQueueItemsData) { + return []; + } + return queueItemsAdapter.getSelectors().selectAll(listQueueItemsData); + }, [listQueueItemsData]); + + const handleLoadMore = useCallback(() => { + if (!listQueueItemsData?.has_more) { + return; + } + const lastItem = queueItems[queueItems.length - 1]; + if (!lastItem) { + return; + } + dispatch(listCursorChanged(lastItem.item_id)); + dispatch(listPriorityChanged(lastItem.priority)); + }, [dispatch, listQueueItemsData?.has_more, queueItems]); + + const [openQueueItems, setOpenQueueItems] = useState([]); + + const toggleQueueItem = useCallback((item_id: number) => { + setOpenQueueItems((prev) => { + if (prev.includes(item_id)) { + return prev.filter((id) => id !== item_id); + } + return [...prev, item_id]; + }); + }, []); + + const context = useMemo( + () => ({ openQueueItems, toggleQueueItem }), + [openQueueItems, toggleQueueItem] + ); + + return ( + + {queueItems.length ? ( + <> + + + + data={queueItems} + endReached={handleLoadMore} + scrollerRef={setScroller as TableVirtuosoScrollerRef} + itemContent={itemContent} + computeItemKey={computeItemKey} + components={components} + context={context} + /> + + + ) : ( + + + {t('queue.queueEmpty')} + + + )} + + ); +}; + +export default memo(QueueList); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListComponent.tsx b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListComponent.tsx new file mode 100644 index 0000000000..ee123e2cd8 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListComponent.tsx @@ -0,0 +1,18 @@ +import { Flex, forwardRef } from '@chakra-ui/react'; +import { memo } from 'react'; +import { Components } from 'react-virtuoso'; +import { SessionQueueItemDTO } from 'services/api/types'; +import { ListContext } from './types'; + +const QueueListComponent: Components['List'] = + memo( + forwardRef((props, ref) => { + return ( + + {props.children} + + ); + }) + ); + +export default memo(QueueListComponent); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListHeader.tsx b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListHeader.tsx new file mode 100644 index 0000000000..6c54a72a79 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListHeader.tsx @@ -0,0 +1,40 @@ +import { Flex, Text } from '@chakra-ui/react'; +import { memo } from 'react'; +import { COLUMN_WIDTHS } from './constants'; + +const QueueListHeader = () => { + return ( + + + # + + + status + + + time + + + batch + + + batch field values + + + ); +}; + +export default memo(QueueListHeader); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/constants.ts b/invokeai/frontend/web/src/features/queue/components/QueueList/constants.ts new file mode 100644 index 0000000000..b44a1daf9c --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueList/constants.ts @@ -0,0 +1,9 @@ +export const COLUMN_WIDTHS = { + number: '3rem', + statusBadge: '5.7rem', + statusDot: 2, + time: '4rem', + batchId: '5rem', + fieldValues: 'auto', + actions: 'auto', +}; diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/types.ts b/invokeai/frontend/web/src/features/queue/components/QueueList/types.ts new file mode 100644 index 0000000000..c9b317ac57 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueList/types.ts @@ -0,0 +1,4 @@ +export type ListContext = { + openQueueItems: number[]; + toggleQueueItem: (item_id: number) => void; +}; diff --git a/invokeai/frontend/web/src/features/queue/components/QueueStatus.tsx b/invokeai/frontend/web/src/features/queue/components/QueueStatus.tsx new file mode 100644 index 0000000000..a91d3c4679 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueStatus.tsx @@ -0,0 +1,40 @@ +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useGetQueueStatusQuery } from 'services/api/endpoints/queue'; +import StatusStatGroup from './common/StatusStatGroup'; +import StatusStatItem from './common/StatusStatItem'; + +const QueueStatus = () => { + const { data: queueStatus } = useGetQueueStatusQuery(); + const { t } = useTranslation(); + return ( + + + + + + + + + ); +}; + +export default memo(QueueStatus); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueStatusCard.tsx b/invokeai/frontend/web/src/features/queue/components/QueueStatusCard.tsx new file mode 100644 index 0000000000..fb57500461 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueStatusCard.tsx @@ -0,0 +1,54 @@ +import { Flex, Heading, Text } from '@chakra-ui/react'; +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useGetQueueStatusQuery } from 'services/api/endpoints/queue'; + +const QueueStatusCard = () => { + const { t } = useTranslation(); + const { data: queueStatus } = useGetQueueStatusQuery(); + + return ( + + {t('queue.status')} + + + {t('queue.pending')}:{' '} + + {queueStatus?.queue.pending} + + + + {t('queue.in_progress')}:{' '} + + {queueStatus?.queue.in_progress} + + + + {t('queue.completed')}:{' '} + + {queueStatus?.queue.completed} + + + + {t('queue.failed')}:{' '} + + {queueStatus?.queue.failed} + + + + {t('queue.canceled')}:{' '} + + {queueStatus?.queue.canceled} + + + ); +}; + +export default memo(QueueStatusCard); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueTabContent.tsx b/invokeai/frontend/web/src/features/queue/components/QueueTabContent.tsx new file mode 100644 index 0000000000..23e2fe399f --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueTabContent.tsx @@ -0,0 +1,35 @@ +import { Box, Flex } from '@chakra-ui/react'; +import { memo } from 'react'; +import { useFeatureStatus } from '../../system/hooks/useFeatureStatus'; +import InvocationCacheStatus from './InvocationCacheStatus'; +import QueueList from './QueueList/QueueList'; +import QueueStatus from './QueueStatus'; +import QueueTabQueueControls from './QueueTabQueueControls'; + +const QueueTabContent = () => { + const isInvocationCacheEnabled = + useFeatureStatus('invocationCache').isFeatureEnabled; + + return ( + + + + + {isInvocationCacheEnabled && } + + + + + + ); +}; + +export default memo(QueueTabContent); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueTabQueueControls.tsx b/invokeai/frontend/web/src/features/queue/components/QueueTabQueueControls.tsx new file mode 100644 index 0000000000..f8bf5d64d5 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueTabQueueControls.tsx @@ -0,0 +1,30 @@ +import { ButtonGroup, Flex } from '@chakra-ui/react'; +import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus'; +import { memo } from 'react'; +import ClearQueueButton from './ClearQueueButton'; +import PauseProcessorButton from './PauseProcessorButton'; +import PruneQueueButton from './PruneQueueButton'; +import ResumeProcessorButton from './ResumeProcessorButton'; + +const QueueTabQueueControls = () => { + const isPauseEnabled = useFeatureStatus('pauseQueue').isFeatureEnabled; + const isResumeEnabled = useFeatureStatus('resumeQueue').isFeatureEnabled; + return ( + + {isPauseEnabled || isResumeEnabled ? ( + + {isResumeEnabled ? : <>} + {isPauseEnabled ? : <>} + + ) : ( + <> + )} + + + + + + ); +}; + +export default memo(QueueTabQueueControls); diff --git a/invokeai/frontend/web/src/features/queue/components/ResumeProcessorButton.tsx b/invokeai/frontend/web/src/features/queue/components/ResumeProcessorButton.tsx new file mode 100644 index 0000000000..70e789fd4a --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/ResumeProcessorButton.tsx @@ -0,0 +1,29 @@ +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { FaPlay } from 'react-icons/fa'; +import { useResumeProcessor } from '../hooks/useResumeProcessor'; +import QueueButton from './common/QueueButton'; + +type Props = { + asIconButton?: boolean; +}; + +const ResumeProcessorButton = ({ asIconButton }: Props) => { + const { t } = useTranslation(); + const { resumeProcessor, isLoading, isDisabled } = useResumeProcessor(); + + return ( + } + onClick={resumeProcessor} + colorScheme="green" + /> + ); +}; + +export default memo(ResumeProcessorButton); diff --git a/invokeai/frontend/web/src/features/queue/components/ToggleInvocationCacheButton.tsx b/invokeai/frontend/web/src/features/queue/components/ToggleInvocationCacheButton.tsx new file mode 100644 index 0000000000..94b0fc82ae --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/ToggleInvocationCacheButton.tsx @@ -0,0 +1,47 @@ +import IAIButton from 'common/components/IAIButton'; +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useGetInvocationCacheStatusQuery } from 'services/api/endpoints/appInfo'; +import { useDisableInvocationCache } from '../hooks/useDisableInvocationCache'; +import { useEnableInvocationCache } from '../hooks/useEnableInvocationCache'; + +const ToggleInvocationCacheButton = () => { + const { t } = useTranslation(); + const { data: cacheStatus } = useGetInvocationCacheStatusQuery(); + + const { + enableInvocationCache, + isDisabled: isEnableDisabled, + isLoading: isEnableLoading, + } = useEnableInvocationCache(); + + const { + disableInvocationCache, + isDisabled: isDisableDisabled, + isLoading: isDisableLoading, + } = useDisableInvocationCache(); + + if (cacheStatus?.enabled) { + return ( + + {t('invocationCache.disable')} + + ); + } + + return ( + + {t('invocationCache.enable')} + + ); +}; + +export default memo(ToggleInvocationCacheButton); diff --git a/invokeai/frontend/web/src/features/queue/components/common/QueueButton.tsx b/invokeai/frontend/web/src/features/queue/components/common/QueueButton.tsx new file mode 100644 index 0000000000..f3ef09f44d --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/common/QueueButton.tsx @@ -0,0 +1,64 @@ +import { ChakraProps, ThemeTypings } from '@chakra-ui/react'; +import IAIButton from 'common/components/IAIButton'; +import IAIIconButton from 'common/components/IAIIconButton'; +import { ReactElement, ReactNode, memo } from 'react'; + +type Props = { + label: string; + tooltip: ReactNode; + icon?: ReactElement; + onClick?: () => void; + isDisabled?: boolean; + colorScheme: ThemeTypings['colorSchemes']; + asIconButton?: boolean; + isLoading?: boolean; + loadingText?: string; + sx?: ChakraProps['sx']; +}; + +const QueueButton = ({ + label, + tooltip, + icon, + onClick, + isDisabled, + colorScheme, + asIconButton, + isLoading, + loadingText, + sx, +}: Props) => { + if (asIconButton) { + return ( + + ); + } + + return ( + + {label} + + ); +}; + +export default memo(QueueButton); diff --git a/invokeai/frontend/web/src/features/queue/components/common/QueueItemCard.tsx b/invokeai/frontend/web/src/features/queue/components/common/QueueItemCard.tsx new file mode 100644 index 0000000000..9cc991335e --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/common/QueueItemCard.tsx @@ -0,0 +1,52 @@ +import { Flex, Heading, Text, Tooltip } from '@chakra-ui/react'; +import ScrollableContent from 'features/nodes/components/sidePanel/ScrollableContent'; +import { memo } from 'react'; +import { components } from 'services/api/schema'; + +const QueueItemCard = ({ + session_queue_item, + label, +}: { + session_queue_item?: components['schemas']['SessionQueueItem']; + label: string; +}) => { + return ( + + + {label} + {session_queue_item && ( + + {session_queue_item.batch_id} + + )} + + {session_queue_item && ( + + Batch Values: + {session_queue_item.field_values && + session_queue_item.field_values + .filter((v) => v.node_path !== 'metadata_accumulator') + .map(({ node_path, field_name, value }) => ( + + + {node_path}.{field_name} + + : {value} + + ))} + + )} + + ); +}; + +export default memo(QueueItemCard); diff --git a/invokeai/frontend/web/src/features/queue/components/common/QueueStatusBadge.tsx b/invokeai/frontend/web/src/features/queue/components/common/QueueStatusBadge.tsx new file mode 100644 index 0000000000..aba4b230bc --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/common/QueueStatusBadge.tsx @@ -0,0 +1,22 @@ +import { Badge } from '@chakra-ui/react'; +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { SessionQueueItemStatus } from 'services/api/endpoints/queue'; + +const STATUSES = { + pending: { colorScheme: 'cyan', translationKey: 'queue.pending' }, + in_progress: { colorScheme: 'yellow', translationKey: 'queue.in_progress' }, + completed: { colorScheme: 'green', translationKey: 'queue.completed' }, + failed: { colorScheme: 'red', translationKey: 'queue.failed' }, + canceled: { colorScheme: 'orange', translationKey: 'queue.canceled' }, +}; + +const StatusBadge = ({ status }: { status: SessionQueueItemStatus }) => { + const { t } = useTranslation(); + return ( + + {t(STATUSES[status].translationKey)} + + ); +}; +export default memo(StatusBadge); diff --git a/invokeai/frontend/web/src/features/queue/components/common/QueueStatusDot.tsx b/invokeai/frontend/web/src/features/queue/components/common/QueueStatusDot.tsx new file mode 100644 index 0000000000..6a500cada2 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/common/QueueStatusDot.tsx @@ -0,0 +1,28 @@ +import { Box } from '@chakra-ui/react'; +import { memo, useMemo } from 'react'; +import { SessionQueueItemStatus } from 'services/api/endpoints/queue'; + +const STATUSES = { + pending: { colorScheme: 'cyan', translationKey: 'queue.pending' }, + in_progress: { colorScheme: 'yellow', translationKey: 'queue.in_progress' }, + completed: { colorScheme: 'green', translationKey: 'queue.completed' }, + failed: { colorScheme: 'red', translationKey: 'queue.failed' }, + canceled: { colorScheme: 'orange', translationKey: 'queue.canceled' }, +}; + +const QueueStatusDot = ({ status }: { status: SessionQueueItemStatus }) => { + const sx = useMemo( + () => ({ + w: 2, + h: 2, + bg: `${STATUSES[status].colorScheme}.${500}`, + _dark: { + bg: `${STATUSES[status].colorScheme}.${400}`, + }, + borderRadius: '100%', + }), + [status] + ); + return ; +}; +export default memo(QueueStatusDot); diff --git a/invokeai/frontend/web/src/features/queue/components/common/StatusStatGroup.tsx b/invokeai/frontend/web/src/features/queue/components/common/StatusStatGroup.tsx new file mode 100644 index 0000000000..b083715472 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/common/StatusStatGroup.tsx @@ -0,0 +1,22 @@ +import { StatGroup, StatGroupProps } from '@chakra-ui/react'; +import { memo } from 'react'; + +const StatusStatGroup = ({ children, ...rest }: StatGroupProps) => ( + + {children} + +); + +export default memo(StatusStatGroup); diff --git a/invokeai/frontend/web/src/features/queue/components/common/StatusStatItem.tsx b/invokeai/frontend/web/src/features/queue/components/common/StatusStatItem.tsx new file mode 100644 index 0000000000..92100d4040 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/common/StatusStatItem.tsx @@ -0,0 +1,47 @@ +import { + ChakraProps, + Stat, + StatLabel, + StatNumber, + StatProps, +} from '@chakra-ui/react'; +import { memo } from 'react'; + +const sx: ChakraProps['sx'] = { + '&[aria-disabled="true"]': { + color: 'base.400', + _dark: { + color: 'base.500', + }, + }, +}; + +type Props = Omit & { + label: string; + value: string | number; + isDisabled?: boolean; +}; + +const StatusStatItem = ({ + label, + value, + isDisabled = false, + ...rest +}: Props) => ( + + + {label} + + {value} + +); + +export default memo(StatusStatItem); diff --git a/invokeai/frontend/web/src/features/queue/hooks/useCancelBatch.ts b/invokeai/frontend/web/src/features/queue/hooks/useCancelBatch.ts new file mode 100644 index 0000000000..42825f151b --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useCancelBatch.ts @@ -0,0 +1,54 @@ +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { addToast } from 'features/system/store/systemSlice'; +import { useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; +import { + useCancelByBatchIdsMutation, + useGetBatchStatusQuery, +} from 'services/api/endpoints/queue'; + +export const useCancelBatch = (batch_id: string) => { + const isConnected = useAppSelector((state) => state.system.isConnected); + const { isCanceled } = useGetBatchStatusQuery( + { batch_id }, + { + selectFromResult: ({ data }) => { + if (!data) { + return { isCanceled: true }; + } + + return { + isCanceled: data?.in_progress === 0 && data?.pending === 0, + }; + }, + } + ); + const [trigger, { isLoading }] = useCancelByBatchIdsMutation({ + fixedCacheKey: 'cancelByBatchIds', + }); + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + const cancelBatch = useCallback(async () => { + if (isCanceled) { + return; + } + try { + await trigger({ batch_ids: [batch_id] }).unwrap(); + dispatch( + addToast({ + title: t('queue.cancelBatchSucceeded'), + status: 'success', + }) + ); + } catch { + dispatch( + addToast({ + title: t('queue.cancelBatchFailed'), + status: 'error', + }) + ); + } + }, [batch_id, dispatch, isCanceled, t, trigger]); + + return { cancelBatch, isLoading, isCanceled, isDisabled: !isConnected }; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/useCancelCurrentQueueItem.ts b/invokeai/frontend/web/src/features/queue/hooks/useCancelCurrentQueueItem.ts new file mode 100644 index 0000000000..308695dd67 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useCancelCurrentQueueItem.ts @@ -0,0 +1,53 @@ +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { addToast } from 'features/system/store/systemSlice'; +import { useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { + useCancelQueueItemMutation, + useGetQueueStatusQuery, +} from 'services/api/endpoints/queue'; + +export const useCancelCurrentQueueItem = () => { + const isConnected = useAppSelector((state) => state.system.isConnected); + const { data: queueStatus } = useGetQueueStatusQuery(); + const [trigger, { isLoading }] = useCancelQueueItemMutation(); + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + const currentQueueItemId = useMemo( + () => queueStatus?.queue.item_id, + [queueStatus?.queue.item_id] + ); + const cancelQueueItem = useCallback(async () => { + if (!currentQueueItemId) { + return; + } + try { + await trigger(currentQueueItemId).unwrap(); + dispatch( + addToast({ + title: t('queue.cancelSucceeded'), + status: 'success', + }) + ); + } catch { + dispatch( + addToast({ + title: t('queue.cancelFailed'), + status: 'error', + }) + ); + } + }, [currentQueueItemId, dispatch, t, trigger]); + + const isDisabled = useMemo( + () => !isConnected || !currentQueueItemId, + [isConnected, currentQueueItemId] + ); + + return { + cancelQueueItem, + isLoading, + currentQueueItemId, + isDisabled, + }; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/useCancelQueueItem.ts b/invokeai/frontend/web/src/features/queue/hooks/useCancelQueueItem.ts new file mode 100644 index 0000000000..4582ef1223 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useCancelQueueItem.ts @@ -0,0 +1,32 @@ +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { addToast } from 'features/system/store/systemSlice'; +import { useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useCancelQueueItemMutation } from 'services/api/endpoints/queue'; + +export const useCancelQueueItem = (item_id: number) => { + const isConnected = useAppSelector((state) => state.system.isConnected); + const [trigger, { isLoading }] = useCancelQueueItemMutation(); + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + const cancelQueueItem = useCallback(async () => { + try { + await trigger(item_id).unwrap(); + dispatch( + addToast({ + title: t('queue.cancelSucceeded'), + status: 'success', + }) + ); + } catch { + dispatch( + addToast({ + title: t('queue.cancelFailed'), + status: 'error', + }) + ); + } + }, [dispatch, item_id, t, trigger]); + + return { cancelQueueItem, isLoading, isDisabled: !isConnected }; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/useClearInvocationCache.ts b/invokeai/frontend/web/src/features/queue/hooks/useClearInvocationCache.ts new file mode 100644 index 0000000000..ce2fc0e46b --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useClearInvocationCache.ts @@ -0,0 +1,48 @@ +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { addToast } from 'features/system/store/systemSlice'; +import { useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { + useClearInvocationCacheMutation, + useGetInvocationCacheStatusQuery, +} from 'services/api/endpoints/appInfo'; + +export const useClearInvocationCache = () => { + const { t } = useTranslation(); + const dispatch = useAppDispatch(); + const { data: cacheStatus } = useGetInvocationCacheStatusQuery(); + const isConnected = useAppSelector((state) => state.system.isConnected); + const [trigger, { isLoading }] = useClearInvocationCacheMutation({ + fixedCacheKey: 'clearInvocationCache', + }); + + const isDisabled = useMemo( + () => !cacheStatus?.size || !isConnected, + [cacheStatus?.size, isConnected] + ); + + const clearInvocationCache = useCallback(async () => { + if (isDisabled) { + return; + } + + try { + await trigger().unwrap(); + dispatch( + addToast({ + title: t('invocationCache.clearSucceeded'), + status: 'success', + }) + ); + } catch { + dispatch( + addToast({ + title: t('invocationCache.clearFailed'), + status: 'error', + }) + ); + } + }, [isDisabled, trigger, dispatch, t]); + + return { clearInvocationCache, isLoading, cacheStatus, isDisabled }; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/useClearQueue.ts b/invokeai/frontend/web/src/features/queue/hooks/useClearQueue.ts new file mode 100644 index 0000000000..a807e22ead --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useClearQueue.ts @@ -0,0 +1,51 @@ +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { addToast } from 'features/system/store/systemSlice'; +import { useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { + useClearQueueMutation, + useGetQueueStatusQuery, +} from 'services/api/endpoints/queue'; +import { listCursorChanged, listPriorityChanged } from '../store/queueSlice'; + +export const useClearQueue = () => { + const { t } = useTranslation(); + const dispatch = useAppDispatch(); + const { data: queueStatus } = useGetQueueStatusQuery(); + const isConnected = useAppSelector((state) => state.system.isConnected); + const [trigger, { isLoading }] = useClearQueueMutation({ + fixedCacheKey: 'clearQueue', + }); + + const clearQueue = useCallback(async () => { + if (!queueStatus?.queue.total) { + return; + } + + try { + await trigger().unwrap(); + dispatch( + addToast({ + title: t('queue.clearSucceeded'), + status: 'success', + }) + ); + dispatch(listCursorChanged(undefined)); + dispatch(listPriorityChanged(undefined)); + } catch { + dispatch( + addToast({ + title: t('queue.clearFailed'), + status: 'error', + }) + ); + } + }, [queueStatus?.queue.total, trigger, dispatch, t]); + + const isDisabled = useMemo( + () => !isConnected || !queueStatus?.queue.total, + [isConnected, queueStatus?.queue.total] + ); + + return { clearQueue, isLoading, queueStatus, isDisabled }; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/useDisableInvocationCache.ts b/invokeai/frontend/web/src/features/queue/hooks/useDisableInvocationCache.ts new file mode 100644 index 0000000000..8d3288aad2 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useDisableInvocationCache.ts @@ -0,0 +1,48 @@ +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { addToast } from 'features/system/store/systemSlice'; +import { useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { + useDisableInvocationCacheMutation, + useGetInvocationCacheStatusQuery, +} from 'services/api/endpoints/appInfo'; + +export const useDisableInvocationCache = () => { + const { t } = useTranslation(); + const dispatch = useAppDispatch(); + const { data: cacheStatus } = useGetInvocationCacheStatusQuery(); + const isConnected = useAppSelector((state) => state.system.isConnected); + const [trigger, { isLoading }] = useDisableInvocationCacheMutation({ + fixedCacheKey: 'disableInvocationCache', + }); + + const isDisabled = useMemo( + () => !cacheStatus?.enabled || !isConnected || cacheStatus?.max_size === 0, + [cacheStatus?.enabled, cacheStatus?.max_size, isConnected] + ); + + const disableInvocationCache = useCallback(async () => { + if (isDisabled) { + return; + } + + try { + await trigger().unwrap(); + dispatch( + addToast({ + title: t('invocationCache.disableSucceeded'), + status: 'success', + }) + ); + } catch { + dispatch( + addToast({ + title: t('invocationCache.disableFailed'), + status: 'error', + }) + ); + } + }, [isDisabled, trigger, dispatch, t]); + + return { disableInvocationCache, isLoading, cacheStatus, isDisabled }; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/useEnableInvocationCache.ts b/invokeai/frontend/web/src/features/queue/hooks/useEnableInvocationCache.ts new file mode 100644 index 0000000000..2ffef29b19 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useEnableInvocationCache.ts @@ -0,0 +1,48 @@ +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { addToast } from 'features/system/store/systemSlice'; +import { useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { + useEnableInvocationCacheMutation, + useGetInvocationCacheStatusQuery, +} from 'services/api/endpoints/appInfo'; + +export const useEnableInvocationCache = () => { + const { t } = useTranslation(); + const dispatch = useAppDispatch(); + const { data: cacheStatus } = useGetInvocationCacheStatusQuery(); + const isConnected = useAppSelector((state) => state.system.isConnected); + const [trigger, { isLoading }] = useEnableInvocationCacheMutation({ + fixedCacheKey: 'enableInvocationCache', + }); + + const isDisabled = useMemo( + () => cacheStatus?.enabled || !isConnected || cacheStatus?.max_size === 0, + [cacheStatus?.enabled, cacheStatus?.max_size, isConnected] + ); + + const enableInvocationCache = useCallback(async () => { + if (isDisabled) { + return; + } + + try { + await trigger().unwrap(); + dispatch( + addToast({ + title: t('invocationCache.enableSucceeded'), + status: 'success', + }) + ); + } catch { + dispatch( + addToast({ + title: t('invocationCache.enableFailed'), + status: 'error', + }) + ); + } + }, [isDisabled, trigger, dispatch, t]); + + return { enableInvocationCache, isLoading, cacheStatus, isDisabled }; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/useIsQueueEmpty.ts b/invokeai/frontend/web/src/features/queue/hooks/useIsQueueEmpty.ts new file mode 100644 index 0000000000..c0a32c1eb3 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useIsQueueEmpty.ts @@ -0,0 +1,15 @@ +import { useGetQueueStatusQuery } from 'services/api/endpoints/queue'; + +export const useIsQueueEmpty = () => { + const { isEmpty } = useGetQueueStatusQuery(undefined, { + selectFromResult: ({ data }) => { + if (!data) { + return { isEmpty: true }; + } + return { + isEmpty: data.queue.in_progress === 0 && data.queue.pending === 0, + }; + }, + }); + return isEmpty; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/useIsQueueMutationInProgress.ts b/invokeai/frontend/web/src/features/queue/hooks/useIsQueueMutationInProgress.ts new file mode 100644 index 0000000000..abb3967b92 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useIsQueueMutationInProgress.ts @@ -0,0 +1,55 @@ +import { + useCancelQueueItemMutation, + // useCancelByBatchIdsMutation, + useClearQueueMutation, + useEnqueueBatchMutation, + useEnqueueGraphMutation, + usePruneQueueMutation, + useResumeProcessorMutation, + usePauseProcessorMutation, +} from 'services/api/endpoints/queue'; + +export const useIsQueueMutationInProgress = () => { + const [_triggerEnqueueBatch, { isLoading: isLoadingEnqueueBatch }] = + useEnqueueBatchMutation({ + fixedCacheKey: 'enqueueBatch', + }); + const [_triggerEnqueueGraph, { isLoading: isLoadingEnqueueGraph }] = + useEnqueueGraphMutation({ + fixedCacheKey: 'enqueueGraph', + }); + const [_triggerResumeProcessor, { isLoading: isLoadingResumeProcessor }] = + useResumeProcessorMutation({ + fixedCacheKey: 'resumeProcessor', + }); + const [_triggerPauseProcessor, { isLoading: isLoadingPauseProcessor }] = + usePauseProcessorMutation({ + fixedCacheKey: 'pauseProcessor', + }); + const [_triggerCancelQueue, { isLoading: isLoadingCancelQueue }] = + useCancelQueueItemMutation({ + fixedCacheKey: 'cancelQueueItem', + }); + const [_triggerClearQueue, { isLoading: isLoadingClearQueue }] = + useClearQueueMutation({ + fixedCacheKey: 'clearQueue', + }); + const [_triggerPruneQueue, { isLoading: isLoadingPruneQueue }] = + usePruneQueueMutation({ + fixedCacheKey: 'pruneQueue', + }); + // const [_triggerCancelByBatchIds, { isLoading: isLoadingCancelByBatchIds }] = + // useCancelByBatchIdsMutation({ + // fixedCacheKey: 'cancelByBatchIds', + // }); + return ( + isLoadingEnqueueBatch || + isLoadingEnqueueGraph || + isLoadingResumeProcessor || + isLoadingPauseProcessor || + isLoadingCancelQueue || + isLoadingClearQueue || + isLoadingPruneQueue + // isLoadingCancelByBatchIds + ); +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/usePauseProcessor.ts b/invokeai/frontend/web/src/features/queue/hooks/usePauseProcessor.ts new file mode 100644 index 0000000000..938f989449 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/usePauseProcessor.ts @@ -0,0 +1,52 @@ +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { addToast } from 'features/system/store/systemSlice'; +import { useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { + useGetQueueStatusQuery, + usePauseProcessorMutation, +} from 'services/api/endpoints/queue'; + +export const usePauseProcessor = () => { + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + const isConnected = useAppSelector((state) => state.system.isConnected); + const { data: queueStatus } = useGetQueueStatusQuery(); + const [trigger, { isLoading }] = usePauseProcessorMutation({ + fixedCacheKey: 'pauseProcessor', + }); + + const isStarted = useMemo( + () => Boolean(queueStatus?.processor.is_started), + [queueStatus?.processor.is_started] + ); + + const pauseProcessor = useCallback(async () => { + if (!isStarted) { + return; + } + try { + await trigger().unwrap(); + dispatch( + addToast({ + title: t('queue.pauseSucceeded'), + status: 'success', + }) + ); + } catch { + dispatch( + addToast({ + title: t('queue.pauseFailed'), + status: 'error', + }) + ); + } + }, [isStarted, trigger, dispatch, t]); + + const isDisabled = useMemo( + () => !isConnected || !isStarted, + [isConnected, isStarted] + ); + + return { pauseProcessor, isLoading, isStarted, isDisabled }; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/usePruneQueue.ts b/invokeai/frontend/web/src/features/queue/hooks/usePruneQueue.ts new file mode 100644 index 0000000000..0cda8ffd02 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/usePruneQueue.ts @@ -0,0 +1,61 @@ +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { addToast } from 'features/system/store/systemSlice'; +import { useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { + useGetQueueStatusQuery, + usePruneQueueMutation, +} from 'services/api/endpoints/queue'; +import { listCursorChanged, listPriorityChanged } from '../store/queueSlice'; + +export const usePruneQueue = () => { + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + const isConnected = useAppSelector((state) => state.system.isConnected); + const [trigger, { isLoading }] = usePruneQueueMutation({ + fixedCacheKey: 'pruneQueue', + }); + const { finishedCount } = useGetQueueStatusQuery(undefined, { + selectFromResult: ({ data }) => { + if (!data) { + return { finishedCount: 0 }; + } + + return { + finishedCount: + data.queue.completed + data.queue.canceled + data.queue.failed, + }; + }, + }); + + const pruneQueue = useCallback(async () => { + if (!finishedCount) { + return; + } + try { + const data = await trigger().unwrap(); + dispatch( + addToast({ + title: t('queue.pruneSucceeded', { item_count: data.deleted }), + status: 'success', + }) + ); + dispatch(listCursorChanged(undefined)); + dispatch(listPriorityChanged(undefined)); + } catch { + dispatch( + addToast({ + title: t('queue.pruneFailed'), + status: 'error', + }) + ); + } + }, [finishedCount, trigger, dispatch, t]); + + const isDisabled = useMemo( + () => !isConnected || !finishedCount, + [finishedCount, isConnected] + ); + + return { pruneQueue, isLoading, finishedCount, isDisabled }; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/useQueueBack.ts b/invokeai/frontend/web/src/features/queue/hooks/useQueueBack.ts new file mode 100644 index 0000000000..0a2582f56b --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useQueueBack.ts @@ -0,0 +1,26 @@ +import { enqueueRequested } from 'app/store/actions'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useIsReadyToEnqueue } from 'common/hooks/useIsReadyToEnqueue'; +import { clampSymmetrySteps } from 'features/parameters/store/generationSlice'; +import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; +import { useCallback, useMemo } from 'react'; +import { useEnqueueBatchMutation } from 'services/api/endpoints/queue'; + +export const useQueueBack = () => { + const dispatch = useAppDispatch(); + const tabName = useAppSelector(activeTabNameSelector); + const { isReady } = useIsReadyToEnqueue(); + const [_, { isLoading }] = useEnqueueBatchMutation({ + fixedCacheKey: 'enqueueBatch', + }); + const isDisabled = useMemo(() => !isReady, [isReady]); + const queueBack = useCallback(() => { + if (isDisabled) { + return; + } + dispatch(clampSymmetrySteps()); + dispatch(enqueueRequested({ tabName, prepend: false })); + }, [dispatch, isDisabled, tabName]); + + return { queueBack, isLoading, isDisabled }; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/useQueueFront.ts b/invokeai/frontend/web/src/features/queue/hooks/useQueueFront.ts new file mode 100644 index 0000000000..e83dfa08ab --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useQueueFront.ts @@ -0,0 +1,32 @@ +import { enqueueRequested } from 'app/store/actions'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useIsReadyToEnqueue } from 'common/hooks/useIsReadyToEnqueue'; +import { clampSymmetrySteps } from 'features/parameters/store/generationSlice'; +import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; +import { useCallback, useMemo } from 'react'; +import { useEnqueueBatchMutation } from 'services/api/endpoints/queue'; +import { useFeatureStatus } from '../../system/hooks/useFeatureStatus'; + +export const useQueueFront = () => { + const dispatch = useAppDispatch(); + const tabName = useAppSelector(activeTabNameSelector); + const { isReady } = useIsReadyToEnqueue(); + const [_, { isLoading }] = useEnqueueBatchMutation({ + fixedCacheKey: 'enqueueBatch', + }); + const prependEnabled = useFeatureStatus('prependQueue').isFeatureEnabled; + + const isDisabled = useMemo(() => { + return !isReady || !prependEnabled; + }, [isReady, prependEnabled]); + + const queueFront = useCallback(() => { + if (isDisabled) { + return; + } + dispatch(clampSymmetrySteps()); + dispatch(enqueueRequested({ tabName, prepend: true })); + }, [dispatch, isDisabled, tabName]); + + return { queueFront, isLoading, isDisabled }; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/useResumeProcessor.ts b/invokeai/frontend/web/src/features/queue/hooks/useResumeProcessor.ts new file mode 100644 index 0000000000..19e21339dd --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useResumeProcessor.ts @@ -0,0 +1,52 @@ +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { addToast } from 'features/system/store/systemSlice'; +import { useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { + useGetQueueStatusQuery, + useResumeProcessorMutation, +} from 'services/api/endpoints/queue'; + +export const useResumeProcessor = () => { + const dispatch = useAppDispatch(); + const isConnected = useAppSelector((state) => state.system.isConnected); + const { data: queueStatus } = useGetQueueStatusQuery(); + const { t } = useTranslation(); + const [trigger, { isLoading }] = useResumeProcessorMutation({ + fixedCacheKey: 'resumeProcessor', + }); + + const isStarted = useMemo( + () => Boolean(queueStatus?.processor.is_started), + [queueStatus?.processor.is_started] + ); + + const resumeProcessor = useCallback(async () => { + if (isStarted) { + return; + } + try { + await trigger().unwrap(); + dispatch( + addToast({ + title: t('queue.resumeSucceeded'), + status: 'success', + }) + ); + } catch { + dispatch( + addToast({ + title: t('queue.resumeFailed'), + status: 'error', + }) + ); + } + }, [isStarted, trigger, dispatch, t]); + + const isDisabled = useMemo( + () => !isConnected || isStarted, + [isConnected, isStarted] + ); + + return { resumeProcessor, isLoading, isStarted, isDisabled }; +}; diff --git a/invokeai/frontend/web/src/features/queue/store/nanoStores.ts b/invokeai/frontend/web/src/features/queue/store/nanoStores.ts new file mode 100644 index 0000000000..462cf69d0a --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/store/nanoStores.ts @@ -0,0 +1,5 @@ +import { atom } from 'nanostores'; + +export const DEFAULT_QUEUE_ID = 'default'; + +export const $queueId = atom(DEFAULT_QUEUE_ID); diff --git a/invokeai/frontend/web/src/features/queue/store/queueSlice.ts b/invokeai/frontend/web/src/features/queue/store/queueSlice.ts new file mode 100644 index 0000000000..ee1e8dfefb --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/store/queueSlice.ts @@ -0,0 +1,60 @@ +import { PayloadAction, createSlice } from '@reduxjs/toolkit'; + +export interface QueueState { + listCursor: number | undefined; + listPriority: number | undefined; + selectedQueueItem: string | undefined; + resumeProcessorOnEnqueue: boolean; +} + +export const initialQueueState: QueueState = { + listCursor: undefined, + listPriority: undefined, + selectedQueueItem: undefined, + resumeProcessorOnEnqueue: true, +}; + +const initialState: QueueState = initialQueueState; + +export const queueSlice = createSlice({ + name: 'queue', + initialState, + reducers: { + listCursorChanged: (state, action: PayloadAction) => { + state.listCursor = action.payload; + }, + listPriorityChanged: (state, action: PayloadAction) => { + state.listPriority = action.payload; + }, + listParamsReset: (state) => { + state.listCursor = undefined; + state.listPriority = undefined; + }, + queueItemSelectionToggled: ( + state, + action: PayloadAction + ) => { + if (state.selectedQueueItem === action.payload) { + state.selectedQueueItem = undefined; + } else { + state.selectedQueueItem = action.payload; + } + }, + resumeProcessorOnEnqueueChanged: ( + state, + action: PayloadAction + ) => { + state.resumeProcessorOnEnqueue = action.payload; + }, + }, +}); + +export const { + listCursorChanged, + listPriorityChanged, + listParamsReset, + queueItemSelectionToggled, + resumeProcessorOnEnqueueChanged, +} = queueSlice.actions; + +export default queueSlice.reducer; diff --git a/invokeai/frontend/web/src/features/queue/util/formatNumberShort.ts b/invokeai/frontend/web/src/features/queue/util/formatNumberShort.ts new file mode 100644 index 0000000000..9cc300c960 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/util/formatNumberShort.ts @@ -0,0 +1,4 @@ +export const formatNumberShort = (num: number) => + Intl.NumberFormat('en-US', { + notation: 'standard', + }).format(num); diff --git a/invokeai/frontend/web/src/features/queue/util/getSecondsFromTimestamps.ts b/invokeai/frontend/web/src/features/queue/util/getSecondsFromTimestamps.ts new file mode 100644 index 0000000000..5ea9713152 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/util/getSecondsFromTimestamps.ts @@ -0,0 +1,2 @@ +export const getSecondsFromTimestamps = (start: string, end: string) => + Number(((Date.parse(end) - Date.parse(start)) / 1000).toFixed(2)); diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLConcatButton.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLConcatButton.tsx index 057ee6fe78..94c4a3aeb0 100644 --- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLConcatButton.tsx +++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLConcatButton.tsx @@ -3,6 +3,7 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIIconButton from 'common/components/IAIIconButton'; import { FaLink } from 'react-icons/fa'; import { setShouldConcatSDXLStylePrompt } from '../store/sdxlSlice'; +import { useTranslation } from 'react-i18next'; export default function ParamSDXLConcatButton() { const shouldConcatSDXLStylePrompt = useAppSelector( @@ -10,6 +11,7 @@ export default function ParamSDXLConcatButton() { ); const dispatch = useAppDispatch(); + const { t } = useTranslation(); const handleShouldConcatPromptChange = () => { dispatch(setShouldConcatSDXLStylePrompt(!shouldConcatSDXLStylePrompt)); @@ -17,8 +19,8 @@ export default function ParamSDXLConcatButton() { return ( { }, [dispatch]); return ( - - - + + + + + ); }; diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx index ff877f5e9a..7de413ad3a 100644 --- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx +++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx @@ -1,33 +1,27 @@ import { Box, FormControl, useDisclosure } from '@chakra-ui/react'; +import { createSelector } from '@reduxjs/toolkit'; import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; -import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react'; - -import { createSelector } from '@reduxjs/toolkit'; -import { clampSymmetrySteps } from 'features/parameters/store/generationSlice'; -import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; - -import { userInvoked } from 'app/store/actions'; import IAITextarea from 'common/components/IAITextarea'; -import { useIsReadyToInvoke } from 'common/hooks/useIsReadyToInvoke'; import AddEmbeddingButton from 'features/embedding/components/AddEmbeddingButton'; import ParamEmbeddingPopover from 'features/embedding/components/ParamEmbeddingPopover'; import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus'; import { AnimatePresence } from 'framer-motion'; import { isEqual } from 'lodash-es'; +import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react'; import { flushSync } from 'react-dom'; +import { useTranslation } from 'react-i18next'; import { setNegativeStylePromptSDXL } from '../store/sdxlSlice'; import SDXLConcatLink from './SDXLConcatLink'; const promptInputSelector = createSelector( - [stateSelector, activeTabNameSelector], - ({ sdxl }, activeTabName) => { + [stateSelector], + ({ sdxl }) => { const { negativeStylePrompt, shouldConcatSDXLStylePrompt } = sdxl; return { prompt: negativeStylePrompt, shouldConcatSDXLStylePrompt, - activeTabName, }; }, { @@ -42,11 +36,11 @@ const promptInputSelector = createSelector( */ const ParamSDXLNegativeStyleConditioning = () => { const dispatch = useAppDispatch(); - const isReady = useIsReadyToInvoke(); const promptRef = useRef(null); const { isOpen, onClose, onOpen } = useDisclosure(); + const { t } = useTranslation(); - const { prompt, activeTabName, shouldConcatSDXLStylePrompt } = + const { prompt, shouldConcatSDXLStylePrompt } = useAppSelector(promptInputSelector); const handleChangePrompt = useCallback( @@ -99,23 +93,13 @@ const ParamSDXLNegativeStyleConditioning = () => { const handleKeyDown = useCallback( (e: KeyboardEvent) => { - if (e.key === 'Enter' && e.shiftKey === false && isReady) { - e.preventDefault(); - dispatch(clampSymmetrySteps()); - dispatch(userInvoked(activeTabName)); - } if (isEmbeddingEnabled && e.key === '<') { onOpen(); } }, - [isReady, dispatch, activeTabName, onOpen, isEmbeddingEnabled] + [onOpen, isEmbeddingEnabled] ); - // const handleSelect = (e: MouseEvent) => { - // const target = e.target as HTMLTextAreaElement; - // setCaret({ start: target.selectionStart, end: target.selectionEnd }); - // }; - return ( @@ -143,7 +127,7 @@ const ParamSDXLNegativeStyleConditioning = () => { name="prompt" ref={promptRef} value={prompt} - placeholder="Negative Style Prompt" + placeholder={t('sdxl.negStylePrompt')} onChange={handleChangePrompt} onKeyDown={handleKeyDown} resize="vertical" diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx index 8ff2f9f19e..9281d31588 100644 --- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx +++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx @@ -1,33 +1,27 @@ import { Box, FormControl, useDisclosure } from '@chakra-ui/react'; +import { createSelector } from '@reduxjs/toolkit'; import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; -import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react'; - -import { createSelector } from '@reduxjs/toolkit'; -import { clampSymmetrySteps } from 'features/parameters/store/generationSlice'; -import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; - -import { userInvoked } from 'app/store/actions'; import IAITextarea from 'common/components/IAITextarea'; -import { useIsReadyToInvoke } from 'common/hooks/useIsReadyToInvoke'; import AddEmbeddingButton from 'features/embedding/components/AddEmbeddingButton'; import ParamEmbeddingPopover from 'features/embedding/components/ParamEmbeddingPopover'; import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus'; import { AnimatePresence } from 'framer-motion'; import { isEqual } from 'lodash-es'; +import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react'; import { flushSync } from 'react-dom'; +import { useTranslation } from 'react-i18next'; import { setPositiveStylePromptSDXL } from '../store/sdxlSlice'; import SDXLConcatLink from './SDXLConcatLink'; const promptInputSelector = createSelector( - [stateSelector, activeTabNameSelector], - ({ sdxl }, activeTabName) => { + [stateSelector], + ({ sdxl }) => { const { positiveStylePrompt, shouldConcatSDXLStylePrompt } = sdxl; return { prompt: positiveStylePrompt, shouldConcatSDXLStylePrompt, - activeTabName, }; }, { @@ -42,11 +36,11 @@ const promptInputSelector = createSelector( */ const ParamSDXLPositiveStyleConditioning = () => { const dispatch = useAppDispatch(); - const isReady = useIsReadyToInvoke(); const promptRef = useRef(null); const { isOpen, onClose, onOpen } = useDisclosure(); + const { t } = useTranslation(); - const { prompt, activeTabName, shouldConcatSDXLStylePrompt } = + const { prompt, shouldConcatSDXLStylePrompt } = useAppSelector(promptInputSelector); const handleChangePrompt = useCallback( @@ -99,23 +93,13 @@ const ParamSDXLPositiveStyleConditioning = () => { const handleKeyDown = useCallback( (e: KeyboardEvent) => { - if (e.key === 'Enter' && e.shiftKey === false && isReady) { - e.preventDefault(); - dispatch(clampSymmetrySteps()); - dispatch(userInvoked(activeTabName)); - } if (isEmbeddingEnabled && e.key === '<') { onOpen(); } }, - [isReady, dispatch, activeTabName, onOpen, isEmbeddingEnabled] + [onOpen, isEmbeddingEnabled] ); - // const handleSelect = (e: MouseEvent) => { - // const target = e.target as HTMLTextAreaElement; - // setCaret({ start: target.selectionStart, end: target.selectionEnd }); - // }; - return ( @@ -143,7 +127,7 @@ const ParamSDXLPositiveStyleConditioning = () => { name="prompt" ref={promptRef} value={prompt} - placeholder="Positive Style Prompt" + placeholder={t('sdxl.posStylePrompt')} onChange={handleChangePrompt} onKeyDown={handleKeyDown} resize="vertical" diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx index fcf4d0bcd3..6ac3034834 100644 --- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx +++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx @@ -13,6 +13,7 @@ import ParamSDXLRefinerScheduler from './SDXLRefiner/ParamSDXLRefinerScheduler'; import ParamSDXLRefinerStart from './SDXLRefiner/ParamSDXLRefinerStart'; import ParamSDXLRefinerSteps from './SDXLRefiner/ParamSDXLRefinerSteps'; import ParamUseSDXLRefiner from './SDXLRefiner/ParamUseSDXLRefiner'; +import { useTranslation } from 'react-i18next'; const selector = createSelector( stateSelector, @@ -29,9 +30,10 @@ const selector = createSelector( const ParamSDXLRefinerCollapse = () => { const { activeLabel, shouldUseSliders } = useAppSelector(selector); + const { t } = useTranslation(); return ( - + diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx index 2b40eca382..5a0d7daf4e 100644 --- a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx +++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx @@ -1,8 +1,7 @@ import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/ParamDynamicPromptsCollapse'; import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse'; +import ParamAdvancedCollapse from 'features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse'; import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse'; -import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse'; -import ParamSeamlessCollapse from 'features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse'; import { memo } from 'react'; import ParamSDXLPromptArea from './ParamSDXLPromptArea'; import ParamSDXLRefinerCollapse from './ParamSDXLRefinerCollapse'; @@ -17,8 +16,7 @@ const SDXLImageToImageTabParameters = () => { - - + ); }; diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx index dd678ac0f7..fb16c01676 100644 --- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx +++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx @@ -43,7 +43,7 @@ const ParamSDXLRefinerCFGScale = () => { return shouldUseSliders ? ( { /> ) : ( { const isSyncModelEnabled = useFeatureStatus('syncModels').isFeatureEnabled; const { model } = useAppSelector(selector); + const { t } = useTranslation(); const { data: refinerModels, isLoading } = useGetMainModelsQuery(REFINER_BASE_MODELS); @@ -81,8 +83,8 @@ const ParamSDXLRefinerModelSelect = () => { return isLoading ? ( @@ -90,9 +92,11 @@ const ParamSDXLRefinerModelSelect = () => { 0 ? 'Select a model' : 'No models available'} + placeholder={ + data.length > 0 ? t('sdxl.selectAModel') : t('sdxl.noModelsAvailable') + } data={data} error={data.length === 0} disabled={data.length === 0} diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerNegativeAestheticScore.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerNegativeAestheticScore.tsx index 4dad3f519a..bc08d64e9f 100644 --- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerNegativeAestheticScore.tsx +++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerNegativeAestheticScore.tsx @@ -6,6 +6,7 @@ import IAISlider from 'common/components/IAISlider'; import { setRefinerNegativeAestheticScore } from 'features/sdxl/store/sdxlSlice'; import { memo, useCallback } from 'react'; import { useIsRefinerAvailable } from 'services/api/hooks/useIsRefinerAvailable'; +import { useTranslation } from 'react-i18next'; const selector = createSelector( [stateSelector], @@ -27,6 +28,7 @@ const ParamSDXLRefinerNegativeAestheticScore = () => { const isRefinerAvailable = useIsRefinerAvailable(); const dispatch = useAppDispatch(); + const { t } = useTranslation(); const handleChange = useCallback( (v: number) => dispatch(setRefinerNegativeAestheticScore(v)), @@ -40,7 +42,7 @@ const ParamSDXLRefinerNegativeAestheticScore = () => { return ( { const isRefinerAvailable = useIsRefinerAvailable(); const dispatch = useAppDispatch(); + const { t } = useTranslation(); const handleChange = useCallback( (v: number) => dispatch(setRefinerPositiveAestheticScore(v)), @@ -40,7 +42,7 @@ const ParamSDXLRefinerPositiveAestheticScore = () => { return ( { return ( { (v: number) => dispatch(setRefinerStart(v)), [dispatch] ); + const { t } = useTranslation(); const handleReset = useCallback( () => dispatch(setRefinerStart(0.8)), @@ -34,7 +36,7 @@ const ParamSDXLRefinerStart = () => { return ( { return shouldUseSliders ? ( { /> ) : ( ) => { dispatch(setShouldUseSDXLRefiner(e.target.checked)); @@ -19,7 +21,7 @@ export default function ParamUseSDXLRefiner() { return ( { - - + ); }; diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx index 01236d8ec3..a9e94a9df0 100644 --- a/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx +++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx @@ -1,10 +1,9 @@ import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/ParamDynamicPromptsCollapse'; import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse'; +import ParamAdvancedCollapse from 'features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse'; import ParamCompositingSettingsCollapse from 'features/parameters/components/Parameters/Canvas/Compositing/ParamCompositingSettingsCollapse'; import ParamInfillAndScalingCollapse from 'features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillAndScalingCollapse'; import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse'; -import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse'; -import ParamSeamlessCollapse from 'features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse'; import ParamSDXLPromptArea from './ParamSDXLPromptArea'; import ParamSDXLRefinerCollapse from './ParamSDXLRefinerCollapse'; import SDXLUnifiedCanvasTabCoreParameters from './SDXLUnifiedCanvasTabCoreParameters'; @@ -18,10 +17,9 @@ export default function SDXLUnifiedCanvasTabParameters() { - - + ); } diff --git a/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts index a020a453f7..73f5779a52 100644 --- a/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts +++ b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts @@ -6,7 +6,7 @@ import { SchedulerParam, } from 'features/parameters/types/parameterSchemas'; -type SDXLInitialState = { +type SDXLState = { positiveStylePrompt: PositiveStylePromptSDXLParam; negativeStylePrompt: NegativeStylePromptSDXLParam; shouldConcatSDXLStylePrompt: boolean; @@ -21,7 +21,7 @@ type SDXLInitialState = { refinerStart: number; }; -const sdxlInitialState: SDXLInitialState = { +export const initialSDXLState: SDXLState = { positiveStylePrompt: '', negativeStylePrompt: '', shouldConcatSDXLStylePrompt: true, @@ -38,7 +38,7 @@ const sdxlInitialState: SDXLInitialState = { const sdxlSlice = createSlice({ name: 'sdxl', - initialState: sdxlInitialState, + initialState: initialSDXLState, reducers: { setPositiveStylePromptSDXL: (state, action: PayloadAction) => { state.positiveStylePrompt = action.payload; diff --git a/invokeai/frontend/web/src/features/system/components/ProgressBar.tsx b/invokeai/frontend/web/src/features/system/components/ProgressBar.tsx index 34bd394214..428ae47545 100644 --- a/invokeai/frontend/web/src/features/system/components/ProgressBar.tsx +++ b/invokeai/frontend/web/src/features/system/components/ProgressBar.tsx @@ -1,40 +1,38 @@ import { Progress } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; +import { stateSelector } from 'app/store/store'; import { useAppSelector } from 'app/store/storeHooks'; -import { SystemState } from 'features/system/store/systemSlice'; -import { isEqual } from 'lodash-es'; +import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import { memo } from 'react'; import { useTranslation } from 'react-i18next'; -import { systemSelector } from '../store/systemSelectors'; - +import { useGetQueueStatusQuery } from 'services/api/endpoints/queue'; const progressBarSelector = createSelector( - systemSelector, - (system: SystemState) => { + stateSelector, + ({ system }) => { return { - isProcessing: system.isProcessing, - currentStep: system.currentStep, - totalSteps: system.totalSteps, - currentStatusHasSteps: system.currentStatusHasSteps, + isConnected: system.isConnected, + hasSteps: Boolean(system.denoiseProgress), + value: (system.denoiseProgress?.percentage ?? 0) * 100, }; }, - { - memoizeOptions: { resultEqualityCheck: isEqual }, - } + defaultSelectorOptions ); const ProgressBar = () => { const { t } = useTranslation(); - const { isProcessing, currentStep, totalSteps, currentStatusHasSteps } = - useAppSelector(progressBarSelector); - - const value = currentStep ? Math.round((currentStep * 100) / totalSteps) : 0; + const { data: queueStatus } = useGetQueueStatusQuery(); + const { hasSteps, value, isConnected } = useAppSelector(progressBarSelector); return ( ); diff --git a/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx b/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx index c1d02aed50..383e3558b0 100644 --- a/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx +++ b/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx @@ -19,16 +19,17 @@ import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIButton from 'common/components/IAIButton'; import IAIMantineSelect from 'common/components/IAIMantineSelect'; -import { setShouldShowAdvancedOptions } from 'features/parameters/store/generationSlice'; import { consoleLogLevelChanged, setEnableImageDebugging, setShouldConfirmOnDelete, + setShouldEnableInformationalPopovers, shouldAntialiasProgressImageChanged, shouldLogToConsoleChanged, shouldUseNSFWCheckerChanged, shouldUseWatermarkerChanged, } from 'features/system/store/systemSlice'; +import { LANGUAGES } from 'features/system/store/types'; import { setShouldAutoChangeDimensions, setShouldShowProgressInViewer, @@ -48,7 +49,6 @@ import { useTranslation } from 'react-i18next'; import { LogLevelName } from 'roarr'; import { useGetAppConfigQuery } from 'services/api/endpoints/appInfo'; import { useFeatureStatus } from '../../hooks/useFeatureStatus'; -import { LANGUAGES } from '../../store/constants'; import { languageSelector } from '../../store/systemSelectors'; import { languageChanged } from '../../store/systemSlice'; import SettingSwitch from './SettingSwitch'; @@ -58,7 +58,7 @@ import StyledFlex from './StyledFlex'; const selector = createSelector( [stateSelector], - ({ system, ui, generation }) => { + ({ system, ui }) => { const { shouldConfirmOnDelete, enableImageDebugging, @@ -67,6 +67,7 @@ const selector = createSelector( shouldAntialiasProgressImage, shouldUseNSFWChecker, shouldUseWatermarker, + shouldEnableInformationalPopovers, } = system; const { @@ -75,8 +76,6 @@ const selector = createSelector( shouldAutoChangeDimensions, } = ui; - const { shouldShowAdvancedOptions } = generation; - return { shouldConfirmOnDelete, enableImageDebugging, @@ -85,10 +84,10 @@ const selector = createSelector( consoleLogLevel, shouldLogToConsole, shouldAntialiasProgressImage, - shouldShowAdvancedOptions, shouldUseNSFWChecker, shouldUseWatermarker, shouldAutoChangeDimensions, + shouldEnableInformationalPopovers, }; }, { @@ -118,8 +117,6 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => { const shouldShowDeveloperSettings = config?.shouldShowDeveloperSettings ?? true; const shouldShowResetWebUiText = config?.shouldShowResetWebUiText ?? true; - const shouldShowAdvancedOptionsSettings = - config?.shouldShowAdvancedOptionsSettings ?? true; const shouldShowClearIntermediates = config?.shouldShowClearIntermediates ?? true; const shouldShowLocalizationToggle = @@ -161,10 +158,10 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => { consoleLogLevel, shouldLogToConsole, shouldAntialiasProgressImage, - shouldShowAdvancedOptions, shouldUseNSFWChecker, shouldUseWatermarker, shouldAutoChangeDimensions, + shouldEnableInformationalPopovers, } = useAppSelector(selector); const handleClickResetWebUI = useCallback(() => { @@ -242,15 +239,6 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => { dispatch(setShouldConfirmOnDelete(e.target.checked)) } /> - {shouldShowAdvancedOptionsSettings && ( - ) => - dispatch(setShouldShowAdvancedOptions(e.target.checked)) - } - /> - )} @@ -323,6 +311,15 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => { onChange={handleLanguageChanged} /> )} + ) => + dispatch( + setShouldEnableInformationalPopovers(e.target.checked) + ) + } + /> {shouldShowDeveloperSettings && ( diff --git a/invokeai/frontend/web/src/features/system/components/StatusIndicator.tsx b/invokeai/frontend/web/src/features/system/components/StatusIndicator.tsx index 4a19ee7fa3..2f740bbe78 100644 --- a/invokeai/frontend/web/src/features/system/components/StatusIndicator.tsx +++ b/invokeai/frontend/web/src/features/system/components/StatusIndicator.tsx @@ -1,5 +1,6 @@ import { Flex, Icon, Text } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; +import { stateSelector } from 'app/store/store'; import { useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import { AnimatePresence, motion } from 'framer-motion'; @@ -8,27 +9,17 @@ import { memo, useMemo, useRef } from 'react'; import { useTranslation } from 'react-i18next'; import { FaCircle } from 'react-icons/fa'; import { useHoverDirty } from 'react-use'; -import { systemSelector } from '../store/systemSelectors'; +import { useGetQueueStatusQuery } from 'services/api/endpoints/queue'; +import { STATUS_TRANSLATION_KEYS } from '../store/types'; const statusIndicatorSelector = createSelector( - systemSelector, - (system) => { - const { - isConnected, - isProcessing, - statusTranslationKey, - currentIteration, - totalIterations, - currentStatusHasSteps, - } = system; + stateSelector, + ({ system }) => { + const { isConnected, status } = system; return { isConnected, - isProcessing, - currentIteration, - totalIterations, - statusTranslationKey, - currentStatusHasSteps, + statusTranslationKey: STATUS_TRANSLATION_KEYS[status], }; }, defaultSelectorOptions @@ -47,35 +38,24 @@ const LIGHT_COLOR_MAP = { }; const StatusIndicator = () => { - const { - isConnected, - isProcessing, - currentIteration, - totalIterations, - statusTranslationKey, - } = useAppSelector(statusIndicatorSelector); + const { isConnected, statusTranslationKey } = useAppSelector( + statusIndicatorSelector + ); const { t } = useTranslation(); const ref = useRef(null); + const { data: queueStatus } = useGetQueueStatusQuery(); - const statusString = useMemo(() => { - if (isProcessing) { + const statusColor = useMemo(() => { + if (!isConnected) { + return 'error'; + } + + if (queueStatus?.queue.in_progress) { return 'working'; } - if (isConnected) { - return 'ok'; - } - - return 'error'; - }, [isProcessing, isConnected]); - - const iterationsText = useMemo(() => { - if (!(currentIteration && totalIterations)) { - return; - } - - return ` (${currentIteration}/${totalIterations})`; - }, [currentIteration, totalIterations]); + return 'ok'; + }, [queueStatus?.queue.in_progress, isConnected]); const isHovered = useHoverDirty(ref); @@ -103,12 +83,11 @@ const StatusIndicator = () => { fontWeight: '600', pb: '1px', userSelect: 'none', - color: LIGHT_COLOR_MAP[statusString], - _dark: { color: DARK_COLOR_MAP[statusString] }, + color: LIGHT_COLOR_MAP[statusColor], + _dark: { color: DARK_COLOR_MAP[statusColor] }, }} > {t(statusTranslationKey as ResourceKey)} - {iterationsText} )} @@ -117,8 +96,8 @@ const StatusIndicator = () => { as={FaCircle} sx={{ boxSize: '0.5rem', - color: LIGHT_COLOR_MAP[statusString], - _dark: { color: DARK_COLOR_MAP[statusString] }, + color: LIGHT_COLOR_MAP[statusColor], + _dark: { color: DARK_COLOR_MAP[statusColor] }, }} /> diff --git a/invokeai/frontend/web/src/features/system/store/configSlice.ts b/invokeai/frontend/web/src/features/system/store/configSlice.ts index 9bdc16ce77..8a20b050ed 100644 --- a/invokeai/frontend/web/src/features/system/store/configSlice.ts +++ b/invokeai/frontend/web/src/features/system/store/configSlice.ts @@ -5,6 +5,7 @@ import { merge } from 'lodash-es'; export const initialConfigState: AppConfig = { shouldUpdateImagesOnConnect: false, + shouldFetchMetadataFromApi: false, disabledTabs: [], disabledFeatures: ['lightbox', 'faceRestore', 'batches'], disabledSDFeatures: [ @@ -14,6 +15,8 @@ export const initialConfigState: AppConfig = { 'perlinNoise', 'noiseThreshold', ], + nodesAllowlist: undefined, + nodesDenylist: undefined, canRestoreDeletedImagesFromBin: true, sd: { disabledControlNetModels: [], @@ -21,8 +24,8 @@ export const initialConfigState: AppConfig = { iterations: { initial: 1, min: 1, - sliderMax: 20, - inputMax: 9999, + sliderMax: 1000, + inputMax: 10000, fineStep: 1, coarseStep: 1, }, diff --git a/invokeai/frontend/web/src/features/system/store/constants.ts b/invokeai/frontend/web/src/features/system/store/constants.ts deleted file mode 100644 index 4e7dd0b9a8..0000000000 --- a/invokeai/frontend/web/src/features/system/store/constants.ts +++ /dev/null @@ -1,20 +0,0 @@ -import i18n from 'i18n'; - -export const LANGUAGES = { - ar: i18n.t('common.langArabic', { lng: 'ar' }), - nl: i18n.t('common.langDutch', { lng: 'nl' }), - en: i18n.t('common.langEnglish', { lng: 'en' }), - fr: i18n.t('common.langFrench', { lng: 'fr' }), - de: i18n.t('common.langGerman', { lng: 'de' }), - he: i18n.t('common.langHebrew', { lng: 'he' }), - it: i18n.t('common.langItalian', { lng: 'it' }), - ja: i18n.t('common.langJapanese', { lng: 'ja' }), - ko: i18n.t('common.langKorean', { lng: 'ko' }), - pl: i18n.t('common.langPolish', { lng: 'pl' }), - pt_BR: i18n.t('common.langBrPortuguese', { lng: 'pt_BR' }), - pt: i18n.t('common.langPortuguese', { lng: 'pt' }), - ru: i18n.t('common.langRussian', { lng: 'ru' }), - zh_CN: i18n.t('common.langSimplifiedChinese', { lng: 'zh_CN' }), - es: i18n.t('common.langSpanish', { lng: 'es' }), - uk: i18n.t('common.langUkranian', { lng: 'ua' }), -}; diff --git a/invokeai/frontend/web/src/features/system/store/systemPersistDenylist.ts b/invokeai/frontend/web/src/features/system/store/systemPersistDenylist.ts index b5376afc4f..b1d952ed83 100644 --- a/invokeai/frontend/web/src/features/system/store/systemPersistDenylist.ts +++ b/invokeai/frontend/web/src/features/system/store/systemPersistDenylist.ts @@ -1,21 +1,8 @@ -import { SystemState } from './systemSlice'; +import { SystemState } from './types'; -/** - * System slice persist denylist - */ export const systemPersistDenylist: (keyof SystemState)[] = [ - 'currentIteration', - 'currentStep', - 'isCancelable', + 'isInitialized', 'isConnected', - 'isESRGANAvailable', - 'isGFPGANAvailable', - 'isProcessing', - 'totalIterations', - 'totalSteps', - 'isCancelScheduled', - 'progressImage', - 'wereModelsReceived', - 'isPersisted', - 'isUploading', + 'denoiseProgress', + 'status', ]; diff --git a/invokeai/frontend/web/src/features/system/store/systemSelectors.ts b/invokeai/frontend/web/src/features/system/store/systemSelectors.ts index 900d8e0bd6..2e38f32283 100644 --- a/invokeai/frontend/web/src/features/system/store/systemSelectors.ts +++ b/invokeai/frontend/web/src/features/system/store/systemSelectors.ts @@ -1,21 +1,9 @@ import { createSelector } from '@reduxjs/toolkit'; -import { RootState } from 'app/store/store'; +import { stateSelector } from 'app/store/store'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; -export const systemSelector = (state: RootState) => state.system; - -export const toastQueueSelector = (state: RootState) => state.system.toastQueue; - export const languageSelector = createSelector( - systemSelector, - (system) => system.language, + stateSelector, + ({ system }) => system.language, defaultSelectorOptions ); - -export const isProcessingSelector = (state: RootState) => - state.system.isProcessing; - -export const selectIsBusy = createSelector( - (state: RootState) => state, - (state) => state.system.isProcessing || !state.system.isConnected -); diff --git a/invokeai/frontend/web/src/features/system/store/systemSlice.ts b/invokeai/frontend/web/src/features/system/store/systemSlice.ts index bf8036ba98..7d31838afd 100644 --- a/invokeai/frontend/web/src/features/system/store/systemSlice.ts +++ b/invokeai/frontend/web/src/features/system/store/systemSlice.ts @@ -1,14 +1,9 @@ import { UseToastOptions } from '@chakra-ui/react'; import { PayloadAction, createSlice, isAnyOf } from '@reduxjs/toolkit'; -import { InvokeLogLevel } from 'app/logging/logger'; -import { userInvoked } from 'app/store/actions'; import { t } from 'i18next'; -import { get, startCase, upperFirst } from 'lodash-es'; +import { get, startCase, truncate, upperFirst } from 'lodash-es'; import { LogLevelName } from 'roarr'; -import { - isAnySessionRejected, - sessionCanceled, -} from 'services/api/thunks/session'; +import { isAnySessionRejected } from 'services/api/thunks/session'; import { appSocketConnected, appSocketDisconnected, @@ -18,122 +13,40 @@ import { appSocketInvocationError, appSocketInvocationRetrievalError, appSocketInvocationStarted, + appSocketModelLoadCompleted, + appSocketModelLoadStarted, + appSocketQueueItemStatusChanged, appSocketSessionRetrievalError, - appSocketSubscribed, - appSocketUnsubscribed, } from 'services/events/actions'; -import { ProgressImage } from 'services/events/types'; +import { calculateStepPercentage } from '../util/calculateStepPercentage'; import { makeToast } from '../util/makeToast'; -import { LANGUAGES } from './constants'; +import { SystemState, LANGUAGES } from './types'; import { zPydanticValidationError } from './zodSchemas'; -export type CancelStrategy = 'immediate' | 'scheduled'; - -export interface SystemState { - isGFPGANAvailable: boolean; - isESRGANAvailable: boolean; - isConnected: boolean; - isProcessing: boolean; - shouldConfirmOnDelete: boolean; - currentStep: number; - totalSteps: number; - currentIteration: number; - totalIterations: number; - currentStatusHasSteps: boolean; - isCancelable: boolean; - enableImageDebugging: boolean; - toastQueue: UseToastOptions[]; - /** - * The current progress image - */ - progressImage: ProgressImage | null; - /** - * The current socket session id - */ - sessionId: string | null; - /** - * Cancel strategy - */ - cancelType: CancelStrategy; - /** - * Whether or not a scheduled cancelation is pending - */ - isCancelScheduled: boolean; - /** - * Array of node IDs that we want to handle when events received - */ - subscribedNodeIds: string[]; - /** - * Whether or not the available models were received - */ - wereModelsReceived: boolean; - /** - * The console output logging level - */ - consoleLogLevel: InvokeLogLevel; - shouldLogToConsole: boolean; - // TODO: probably better to not store keys here, should just be a string that maps to the translation key - statusTranslationKey: string; - /** - * When a session is canceled, its ID is stored here until a new session is created. - */ - canceledSession: string; - isPersisted: boolean; - shouldAntialiasProgressImage: boolean; - language: keyof typeof LANGUAGES; - isUploading: boolean; - shouldUseNSFWChecker: boolean; - shouldUseWatermarker: boolean; -} - export const initialSystemState: SystemState = { + isInitialized: false, isConnected: false, - isProcessing: false, - isGFPGANAvailable: true, - isESRGANAvailable: true, shouldConfirmOnDelete: true, - currentStep: 0, - totalSteps: 0, - currentIteration: 0, - totalIterations: 0, - currentStatusHasSteps: false, - isCancelable: true, enableImageDebugging: false, toastQueue: [], - progressImage: null, + denoiseProgress: null, shouldAntialiasProgressImage: false, - sessionId: null, - cancelType: 'immediate', - isCancelScheduled: false, - subscribedNodeIds: [], - wereModelsReceived: false, consoleLogLevel: 'debug', shouldLogToConsole: true, - statusTranslationKey: 'common.statusDisconnected', - canceledSession: '', - isPersisted: false, language: 'en', - isUploading: false, shouldUseNSFWChecker: false, shouldUseWatermarker: false, + shouldEnableInformationalPopovers: false, + status: 'DISCONNECTED', }; export const systemSlice = createSlice({ name: 'system', initialState: initialSystemState, reducers: { - setIsProcessing: (state, action: PayloadAction) => { - state.isProcessing = action.payload; - }, - setCurrentStatus: (state, action: PayloadAction) => { - state.statusTranslationKey = action.payload; - }, setShouldConfirmOnDelete: (state, action: PayloadAction) => { state.shouldConfirmOnDelete = action.payload; }, - setIsCancelable: (state, action: PayloadAction) => { - state.isCancelable = action.payload; - }, setEnableImageDebugging: (state, action: PayloadAction) => { state.enableImageDebugging = action.payload; }, @@ -143,30 +56,6 @@ export const systemSlice = createSlice({ clearToastQueue: (state) => { state.toastQueue = []; }, - /** - * A cancel was scheduled - */ - cancelScheduled: (state) => { - state.isCancelScheduled = true; - }, - /** - * The scheduled cancel was aborted - */ - scheduledCancelAborted: (state) => { - state.isCancelScheduled = false; - }, - /** - * The cancel type was changed - */ - cancelTypeChanged: (state, action: PayloadAction) => { - state.cancelType = action.payload; - }, - /** - * The array of subscribed node ids was changed - */ - subscribedNodeIdsSet: (state, action: PayloadAction) => { - state.subscribedNodeIds = action.payload; - }, consoleLogLevelChanged: (state, action: PayloadAction) => { state.consoleLogLevel = action.payload; }, @@ -179,51 +68,33 @@ export const systemSlice = createSlice({ ) => { state.shouldAntialiasProgressImage = action.payload; }, - isPersistedChanged: (state, action: PayloadAction) => { - state.isPersisted = action.payload; - }, languageChanged: (state, action: PayloadAction) => { state.language = action.payload; }, - progressImageSet(state, action: PayloadAction) { - state.progressImage = action.payload; - }, shouldUseNSFWCheckerChanged(state, action: PayloadAction) { state.shouldUseNSFWChecker = action.payload; }, shouldUseWatermarkerChanged(state, action: PayloadAction) { state.shouldUseWatermarker = action.payload; }, + setShouldEnableInformationalPopovers( + state, + action: PayloadAction + ) { + state.shouldEnableInformationalPopovers = action.payload; + }, + isInitializedChanged(state, action: PayloadAction) { + state.isInitialized = action.payload; + }, }, extraReducers(builder) { - /** - * Socket Subscribed - */ - builder.addCase(appSocketSubscribed, (state, action) => { - state.sessionId = action.payload.sessionId; - state.canceledSession = ''; - }); - - /** - * Socket Unsubscribed - */ - builder.addCase(appSocketUnsubscribed, (state) => { - state.sessionId = null; - }); - /** * Socket Connected */ builder.addCase(appSocketConnected, (state) => { state.isConnected = true; - state.isCancelable = true; - state.isProcessing = false; - state.currentStatusHasSteps = false; - state.currentStep = 0; - state.totalSteps = 0; - state.currentIteration = 0; - state.totalIterations = 0; - state.statusTranslationKey = 'common.statusConnected'; + state.denoiseProgress = null; + state.status = 'CONNECTED'; }); /** @@ -231,106 +102,75 @@ export const systemSlice = createSlice({ */ builder.addCase(appSocketDisconnected, (state) => { state.isConnected = false; - state.isProcessing = false; - state.isCancelable = true; - state.currentStatusHasSteps = false; - state.currentStep = 0; - state.totalSteps = 0; - // state.currentIteration = 0; - // state.totalIterations = 0; - state.statusTranslationKey = 'common.statusDisconnected'; + state.denoiseProgress = null; + state.status = 'DISCONNECTED'; }); /** * Invocation Started */ builder.addCase(appSocketInvocationStarted, (state) => { - state.isCancelable = true; - state.isProcessing = true; - state.currentStatusHasSteps = false; - state.currentStep = 0; - state.totalSteps = 0; - // state.currentIteration = 0; - // state.totalIterations = 0; - state.statusTranslationKey = 'common.statusGenerating'; + state.denoiseProgress = null; + state.status = 'PROCESSING'; }); /** * Generator Progress */ builder.addCase(appSocketGeneratorProgress, (state, action) => { - const { step, total_steps, progress_image } = action.payload.data; + const { + step, + total_steps, + order, + progress_image, + graph_execution_state_id: session_id, + queue_batch_id: batch_id, + } = action.payload.data; - state.isProcessing = true; - state.isCancelable = true; - // state.currentIteration = 0; - // state.totalIterations = 0; - state.currentStatusHasSteps = true; - state.currentStep = step + 1; // TODO: step starts at -1, think this is a bug - state.totalSteps = total_steps; - state.progressImage = progress_image ?? null; - state.statusTranslationKey = 'common.statusGenerating'; + state.denoiseProgress = { + step, + total_steps, + order, + percentage: calculateStepPercentage(step, total_steps, order), + progress_image, + session_id, + batch_id, + }; + + state.status = 'PROCESSING'; }); /** * Invocation Complete */ - builder.addCase(appSocketInvocationComplete, (state, action) => { - const { data } = action.payload; - - // state.currentIteration = 0; - // state.totalIterations = 0; - state.currentStatusHasSteps = false; - state.currentStep = 0; - state.totalSteps = 0; - state.statusTranslationKey = 'common.statusProcessingComplete'; - - if (state.canceledSession === data.graph_execution_state_id) { - state.isProcessing = false; - state.isCancelable = true; - } + builder.addCase(appSocketInvocationComplete, (state) => { + state.denoiseProgress = null; + state.status = 'CONNECTED'; }); /** * Graph Execution State Complete */ builder.addCase(appSocketGraphExecutionStateComplete, (state) => { - state.isProcessing = false; - state.isCancelable = false; - state.isCancelScheduled = false; - state.currentStep = 0; - state.totalSteps = 0; - state.statusTranslationKey = 'common.statusConnected'; - state.progressImage = null; + state.denoiseProgress = null; + state.status = 'CONNECTED'; }); - /** - * User Invoked - */ - - builder.addCase(userInvoked, (state) => { - state.isProcessing = true; - state.isCancelable = true; - state.currentStatusHasSteps = false; - state.statusTranslationKey = 'common.statusPreparing'; + builder.addCase(appSocketModelLoadStarted, (state) => { + state.status = 'LOADING_MODEL'; }); - /** - * Session Canceled - FULFILLED - */ - builder.addCase(sessionCanceled.fulfilled, (state, action) => { - state.canceledSession = action.meta.arg.session_id; - state.isProcessing = false; - state.isCancelable = false; - state.isCancelScheduled = false; - state.currentStep = 0; - state.totalSteps = 0; - state.statusTranslationKey = 'common.statusConnected'; - state.progressImage = null; + builder.addCase(appSocketModelLoadCompleted, (state) => { + state.status = 'CONNECTED'; + }); - state.toastQueue.push( - makeToast({ title: t('toast.canceled'), status: 'warning' }) - ); + builder.addCase(appSocketQueueItemStatusChanged, (state, action) => { + if ( + ['completed', 'canceled', 'failed'].includes(action.payload.data.status) + ) { + state.status = 'CONNECTED'; + state.denoiseProgress = null; + } }); // *** Matchers - must be after all cases *** @@ -340,14 +180,6 @@ export const systemSlice = createSlice({ * Session Created - REJECTED */ builder.addMatcher(isAnySessionRejected, (state, action) => { - state.isProcessing = false; - state.isCancelable = false; - state.isCancelScheduled = false; - state.currentStep = 0; - state.totalSteps = 0; - state.statusTranslationKey = 'common.statusConnected'; - state.progressImage = null; - let errorDescription = undefined; const duration = 5000; @@ -357,10 +189,13 @@ export const systemSlice = createSlice({ result.data.error.detail.map((e) => { state.toastQueue.push( makeToast({ - title: upperFirst(e.msg), + title: truncate(upperFirst(e.msg), { length: 128 }), status: 'error', - description: `Path: - ${e.loc.slice(3).join('.')}`, + description: truncate( + `Path: + ${e.loc.join('.')}`, + { length: 128 } + ), duration, }) ); @@ -375,7 +210,10 @@ export const systemSlice = createSlice({ makeToast({ title: t('toast.serverError'), status: 'error', - description: get(errorDescription, 'detail', 'Unknown Error'), + description: truncate( + get(errorDescription, 'detail', 'Unknown Error'), + { length: 128 } + ), duration, }) ); @@ -385,16 +223,6 @@ export const systemSlice = createSlice({ * Any server error */ builder.addMatcher(isAnyServerError, (state, action) => { - state.isProcessing = false; - state.isCancelable = true; - // state.currentIteration = 0; - // state.totalIterations = 0; - state.currentStatusHasSteps = false; - state.currentStep = 0; - state.totalSteps = 0; - state.statusTranslationKey = 'common.statusError'; - state.progressImage = null; - state.toastQueue.push( makeToast({ title: t('toast.serverError'), @@ -407,25 +235,18 @@ export const systemSlice = createSlice({ }); export const { - setIsProcessing, setShouldConfirmOnDelete, - setCurrentStatus, - setIsCancelable, setEnableImageDebugging, addToast, clearToastQueue, - cancelScheduled, - scheduledCancelAborted, - cancelTypeChanged, - subscribedNodeIdsSet, consoleLogLevelChanged, shouldLogToConsoleChanged, - isPersistedChanged, shouldAntialiasProgressImageChanged, languageChanged, - progressImageSet, shouldUseNSFWCheckerChanged, shouldUseWatermarkerChanged, + setShouldEnableInformationalPopovers, + isInitializedChanged, } = systemSlice.actions; export default systemSlice.reducer; diff --git a/invokeai/frontend/web/src/features/system/store/types.ts b/invokeai/frontend/web/src/features/system/store/types.ts new file mode 100644 index 0000000000..95c63a1415 --- /dev/null +++ b/invokeai/frontend/web/src/features/system/store/types.ts @@ -0,0 +1,65 @@ +import { UseToastOptions } from '@chakra-ui/react'; +import { InvokeLogLevel } from 'app/logging/logger'; +import i18n from 'i18n'; +import { ProgressImage } from 'services/events/types'; + +export type SystemStatus = + | 'CONNECTED' + | 'DISCONNECTED' + | 'PROCESSING' + | 'ERROR' + | 'LOADING_MODEL'; + +export type DenoiseProgress = { + session_id: string; + batch_id: string; + progress_image: ProgressImage | null | undefined; + step: number; + total_steps: number; + order: number; + percentage: number; +}; + +export interface SystemState { + isInitialized: boolean; + isConnected: boolean; + shouldConfirmOnDelete: boolean; + enableImageDebugging: boolean; + toastQueue: UseToastOptions[]; + denoiseProgress: DenoiseProgress | null; + consoleLogLevel: InvokeLogLevel; + shouldLogToConsole: boolean; + shouldAntialiasProgressImage: boolean; + language: keyof typeof LANGUAGES; + shouldUseNSFWChecker: boolean; + shouldUseWatermarker: boolean; + status: SystemStatus; + shouldEnableInformationalPopovers: boolean; +} + +export const LANGUAGES = { + ar: i18n.t('common.langArabic', { lng: 'ar' }), + nl: i18n.t('common.langDutch', { lng: 'nl' }), + en: i18n.t('common.langEnglish', { lng: 'en' }), + fr: i18n.t('common.langFrench', { lng: 'fr' }), + de: i18n.t('common.langGerman', { lng: 'de' }), + he: i18n.t('common.langHebrew', { lng: 'he' }), + it: i18n.t('common.langItalian', { lng: 'it' }), + ja: i18n.t('common.langJapanese', { lng: 'ja' }), + ko: i18n.t('common.langKorean', { lng: 'ko' }), + pl: i18n.t('common.langPolish', { lng: 'pl' }), + pt_BR: i18n.t('common.langBrPortuguese', { lng: 'pt_BR' }), + pt: i18n.t('common.langPortuguese', { lng: 'pt' }), + ru: i18n.t('common.langRussian', { lng: 'ru' }), + zh_CN: i18n.t('common.langSimplifiedChinese', { lng: 'zh_CN' }), + es: i18n.t('common.langSpanish', { lng: 'es' }), + uk: i18n.t('common.langUkranian', { lng: 'ua' }), +}; + +export const STATUS_TRANSLATION_KEYS: Record = { + CONNECTED: 'common.statusConnected', + DISCONNECTED: 'common.statusDisconnected', + PROCESSING: 'common.statusProcessing', + ERROR: 'common.statusError', + LOADING_MODEL: 'common.statusLoadingModel', +}; diff --git a/invokeai/frontend/web/src/features/system/util/calculateStepPercentage.ts b/invokeai/frontend/web/src/features/system/util/calculateStepPercentage.ts new file mode 100644 index 0000000000..080c7b1ee6 --- /dev/null +++ b/invokeai/frontend/web/src/features/system/util/calculateStepPercentage.ts @@ -0,0 +1,17 @@ +export const calculateStepPercentage = ( + step: number, + total_steps: number, + order: number +) => { + if (total_steps === 0) { + return 0; + } + + // we add one extra to step so that the progress bar will be full when denoise completes + + if (order === 2) { + return Math.floor((step + 1 + 1) / 2) / Math.floor((total_steps + 1) / 2); + } + + return (step + 1 + 1) / (total_steps + 1); +}; diff --git a/invokeai/frontend/web/src/features/canvas/util/copyBlobToClipboard.ts b/invokeai/frontend/web/src/features/system/util/copyBlobToClipboard.ts similarity index 58% rename from invokeai/frontend/web/src/features/canvas/util/copyBlobToClipboard.ts rename to invokeai/frontend/web/src/features/system/util/copyBlobToClipboard.ts index e944e766b5..cf59f2a687 100644 --- a/invokeai/frontend/web/src/features/canvas/util/copyBlobToClipboard.ts +++ b/invokeai/frontend/web/src/features/system/util/copyBlobToClipboard.ts @@ -1,10 +1,13 @@ /** * Copies a blob to the clipboard by calling navigator.clipboard.write(). */ -export const copyBlobToClipboard = (blob: Blob) => { +export const copyBlobToClipboard = ( + blob: Promise, + type = 'image/png' +) => { navigator.clipboard.write([ new ClipboardItem({ - [blob.type]: blob, + [type]: blob, }), ]); }; diff --git a/invokeai/frontend/web/src/features/ui/components/FloatingGalleryButton.tsx b/invokeai/frontend/web/src/features/ui/components/FloatingGalleryButton.tsx index 7af1a4d674..b18a069cfa 100644 --- a/invokeai/frontend/web/src/features/ui/components/FloatingGalleryButton.tsx +++ b/invokeai/frontend/web/src/features/ui/components/FloatingGalleryButton.tsx @@ -37,16 +37,14 @@ const FloatingGalleryButton = ({ } sx={{ p: 0, px: 3, h: 48, - borderStartEndRadius: 0, - borderEndEndRadius: 0, - shadow: '2xl', + borderEndRadius: 0, }} /> diff --git a/invokeai/frontend/web/src/features/ui/components/FloatingParametersPanelButtons.tsx b/invokeai/frontend/web/src/features/ui/components/FloatingParametersPanelButtons.tsx index aa24896591..da4d409943 100644 --- a/invokeai/frontend/web/src/features/ui/components/FloatingParametersPanelButtons.tsx +++ b/invokeai/frontend/web/src/features/ui/components/FloatingParametersPanelButtons.tsx @@ -1,7 +1,8 @@ -import { ChakraProps, Flex, Portal } from '@chakra-ui/react'; +import { ButtonGroup, ChakraProps, Flex, Portal } from '@chakra-ui/react'; import IAIIconButton from 'common/components/IAIIconButton'; -import CancelButton from 'features/parameters/components/ProcessButtons/CancelButton'; -import InvokeButton from 'features/parameters/components/ProcessButtons/InvokeButton'; +import CancelCurrentQueueItemButton from 'features/queue/components/CancelCurrentQueueItemButton'; +import ClearQueueButton from 'features/queue/components/ClearQueueButton'; +import QueueBackButton from 'features/queue/components/QueueBackButton'; import { RefObject, memo } from 'react'; import { useTranslation } from 'react-i18next'; @@ -9,9 +10,8 @@ import { FaSlidersH } from 'react-icons/fa'; import { ImperativePanelHandle } from 'react-resizable-panels'; const floatingButtonStyles: ChakraProps['sx'] = { - borderStartStartRadius: 0, - borderEndStartRadius: 0, - shadow: '2xl', + borderStartRadius: 0, + flexGrow: 1, }; type Props = { @@ -43,16 +43,23 @@ const FloatingSidePanelButtons = ({ insetInlineStart="5.13rem" direction="column" gap={2} + h={48} > - } - /> - - + + } + /> + + + + ); diff --git a/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx b/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx index 0f5a8d92ff..fb5756b121 100644 --- a/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx +++ b/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx @@ -10,7 +10,6 @@ import { VisuallyHidden, } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; -import AuxiliaryProgressIndicator from 'app/components/AuxiliaryProgressIndicator'; import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import ImageGalleryContent from 'features/gallery/components/ImageGalleryContent'; @@ -22,8 +21,9 @@ import { isEqual } from 'lodash-es'; import { MouseEvent, ReactNode, memo, useCallback, useMemo } from 'react'; import { useHotkeys } from 'react-hotkeys-hook'; import { useTranslation } from 'react-i18next'; -import { FaCube, FaFont, FaImage } from 'react-icons/fa'; -import { MdDeviceHub, MdGridOn } from 'react-icons/md'; +import { FaCube, FaFont, FaImage, FaStream } from 'react-icons/fa'; +import { FaCircleNodes } from 'react-icons/fa6'; +import { MdGridOn } from 'react-icons/md'; import { Panel, PanelGroup } from 'react-resizable-panels'; import { usePanel } from '../hooks/usePanel'; import { usePanelStorage } from '../hooks/usePanelStorage'; @@ -37,6 +37,7 @@ import ParametersPanel from './ParametersPanel'; import ImageTab from './tabs/ImageToImage/ImageToImageTab'; import ModelManagerTab from './tabs/ModelManager/ModelManagerTab'; import NodesTab from './tabs/Nodes/NodesTab'; +import QueueTab from './tabs/Queue/QueueTab'; import ResizeHandle from './tabs/ResizeHandle'; import TextToImageTab from './tabs/TextToImage/TextToImageTab'; import UnifiedCanvasTab from './tabs/UnifiedCanvas/UnifiedCanvasTab'; @@ -70,7 +71,9 @@ const tabs: InvokeTabInfo[] = [ { id: 'nodes', translationKey: 'common.nodes', - icon: , + icon: ( + + ), content: , }, { @@ -79,6 +82,12 @@ const tabs: InvokeTabInfo[] = [ icon: , content: , }, + { + id: 'queue', + translationKey: 'queue.queue', + icon: , + content: , + }, ]; const enabledTabsSelector = createSelector( @@ -97,8 +106,8 @@ const SIDE_PANEL_MIN_SIZE_PX = 448; const MAIN_PANEL_MIN_SIZE_PX = 448; const GALLERY_PANEL_MIN_SIZE_PX = 360; -export const NO_GALLERY_TABS: InvokeTabName[] = ['modelManager']; -export const NO_SIDE_PANEL_TABS: InvokeTabName[] = ['modelManager']; +export const NO_GALLERY_TABS: InvokeTabName[] = ['modelManager', 'queue']; +export const NO_SIDE_PANEL_TABS: InvokeTabName[] = ['modelManager', 'queue']; const InvokeTabs = () => { const activeTab = useAppSelector(activeTabIndexSelector); @@ -225,7 +234,6 @@ const InvokeTabs = () => { > {tabs} - { { <> { gap: 2, }} > - + { - const { shouldUseSliders } = ui; - const { shouldRandomizeSeed } = generation; - - const activeLabel = !shouldRandomizeSeed ? 'Manual Seed' : undefined; - - return { shouldUseSliders, activeLabel }; - }, - defaultSelectorOptions -); - const ImageToImageTabCoreParameters = () => { - const { shouldUseSliders, activeLabel } = useAppSelector(selector); + const shouldUseSliders = useAppSelector((state) => state.ui.shouldUseSliders); + const { iterationsAndSeedLabel } = useCoreParametersCollapseLabel(); return ( - + { - - ); diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddCheckpoint.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddCheckpoint.tsx index 85dfb0ed8b..94a65a9122 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddCheckpoint.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddCheckpoint.tsx @@ -55,7 +55,9 @@ export default function AdvancedAddCheckpoint( dispatch( addToast( makeToast({ - title: `Model Added: ${values.model_name}`, + title: t('modelManager.modelAdded', { + modelName: values.model_name, + }), status: 'success', }) ) @@ -72,7 +74,7 @@ export default function AdvancedAddCheckpoint( dispatch( addToast( makeToast({ - title: 'Model Add Failed', + title: t('toast.modelAddFailed'), status: 'error', }) ) @@ -90,15 +92,16 @@ export default function AdvancedAddCheckpoint( > { @@ -114,14 +117,15 @@ export default function AdvancedAddCheckpoint( }} /> @@ -134,14 +138,14 @@ export default function AdvancedAddCheckpoint( ) : ( )} setUseCustomConfig(!useCustomConfig)} - label="Use Custom Config" + label={t('modelManager.useCustomConfig')} /> {t('modelManager.addModel')} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddDiffusers.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddDiffusers.tsx index 181a6f4234..7c22b4b2ac 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddDiffusers.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddDiffusers.tsx @@ -47,7 +47,9 @@ export default function AdvancedAddDiffusers(props: AdvancedAddDiffusersProps) { dispatch( addToast( makeToast({ - title: `Model Added: ${values.model_name}`, + title: t('modelManager.modelAdded', { + modelName: values.model_name, + }), status: 'success', }) ) @@ -63,7 +65,7 @@ export default function AdvancedAddDiffusers(props: AdvancedAddDiffusersProps) { dispatch( addToast( makeToast({ - title: 'Model Add Failed', + title: t('toast.modelAddFailed'), status: 'error', }) ) @@ -82,16 +84,17 @@ export default function AdvancedAddDiffusers(props: AdvancedAddDiffusersProps) { { if (advancedAddDiffusersForm.values['model_name'] === '') { @@ -106,14 +109,15 @@ export default function AdvancedAddDiffusers(props: AdvancedAddDiffusersProps) { }} /> diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddModels.tsx index a2a12b7f00..b78d0466c0 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddModels.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddModels.tsx @@ -4,6 +4,7 @@ import IAIMantineSelect from 'common/components/IAIMantineSelect'; import { useState } from 'react'; import AdvancedAddCheckpoint from './AdvancedAddCheckpoint'; import AdvancedAddDiffusers from './AdvancedAddDiffusers'; +import { useTranslation } from 'react-i18next'; export const advancedAddModeData: SelectItem[] = [ { label: 'Diffusers', value: 'diffusers' }, @@ -16,10 +17,12 @@ export default function AdvancedAddModels() { const [advancedAddMode, setAdvancedAddMode] = useState('diffusers'); + const { t } = useTranslation(); + return ( { diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx index a44a747438..a2e6158515 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx @@ -77,7 +77,7 @@ export default function FoundModelsList() { dispatch( addToast( makeToast({ - title: 'Failed To Add Model', + title: t('toast.modelAddFailed'), status: 'error', }) ) @@ -85,7 +85,7 @@ export default function FoundModelsList() { } }); }, - [dispatch, importMainModel] + [dispatch, importMainModel, t] ); const handleSearchFilter = useCallback((e: ChangeEvent) => { @@ -137,13 +137,13 @@ export default function FoundModelsList() { onClick={quickAddHandler} isLoading={isLoading} > - Quick Add + {t('modelManager.quickAdd')} dispatch(setAdvancedAddScanModel(model))} isLoading={isLoading} > - Advanced + {t('modelManager.advanced')} ) : ( @@ -189,7 +189,7 @@ export default function FoundModelsList() { }, }} > - No Models Found + {t('modelManager.noModels')} ); } diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanAdvancedAddModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanAdvancedAddModels.tsx index 997341279d..615c76b71e 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanAdvancedAddModels.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanAdvancedAddModels.tsx @@ -10,12 +10,15 @@ import { setAdvancedAddScanModel } from '../../store/modelManagerSlice'; import AdvancedAddCheckpoint from './AdvancedAddCheckpoint'; import AdvancedAddDiffusers from './AdvancedAddDiffusers'; import { ManualAddMode, advancedAddModeData } from './AdvancedAddModels'; +import { useTranslation } from 'react-i18next'; export default function ScanAdvancedAddModels() { const advancedAddScanModel = useAppSelector( (state: RootState) => state.modelmanager.advancedAddScanModel ); + const { t } = useTranslation(); + const [advancedAddMode, setAdvancedAddMode] = useState('diffusers'); @@ -64,13 +67,13 @@ export default function ScanAdvancedAddModels() { } - aria-label="Close Advanced" + aria-label={t('modelManager.closeAdvanced')} onClick={() => dispatch(setAdvancedAddScanModel(null))} size="sm" /> { diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx index cb0ce627a0..b2845f0e85 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx @@ -1,16 +1,14 @@ import { Flex } from '@chakra-ui/react'; -// import { addNewModel } from 'app/socketio/actions'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useAppDispatch } from 'app/store/storeHooks'; import { useTranslation } from 'react-i18next'; import { SelectItem } from '@mantine/core'; import { useForm } from '@mantine/form'; -import { makeToast } from 'features/system/util/makeToast'; -import { RootState } from 'app/store/store'; import IAIButton from 'common/components/IAIButton'; import IAIMantineTextInput from 'common/components/IAIMantineInput'; import IAIMantineSelect from 'common/components/IAIMantineSelect'; import { addToast } from 'features/system/store/systemSlice'; +import { makeToast } from 'features/system/util/makeToast'; import { useImportMainModelsMutation } from 'services/api/endpoints/models'; const predictionSelectData: SelectItem[] = [ @@ -29,10 +27,6 @@ export default function SimpleAddModels() { const dispatch = useAppDispatch(); const { t } = useTranslation(); - const isProcessing = useAppSelector( - (state: RootState) => state.system.isProcessing - ); - const [importMainModel, { isLoading }] = useImportMainModelsMutation(); const addModelForm = useForm({ @@ -55,7 +49,7 @@ export default function SimpleAddModels() { dispatch( addToast( makeToast({ - title: 'Model Added', + title: t('toast.modelAddedSimple'), status: 'success', }) ) @@ -64,7 +58,6 @@ export default function SimpleAddModels() { }) .catch((error) => { if (error) { - console.log(error); dispatch( addToast( makeToast({ @@ -84,22 +77,18 @@ export default function SimpleAddModels() { > - + {t('modelManager.addModel')} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/CheckpointModelEdit.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/CheckpointModelEdit.tsx index 6c3ebf2530..f4943d3ce1 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/CheckpointModelEdit.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/CheckpointModelEdit.tsx @@ -1,11 +1,10 @@ import { Badge, Divider, Flex, Text } from '@chakra-ui/react'; import { useForm } from '@mantine/form'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useAppDispatch } from 'app/store/storeHooks'; import IAIButton from 'common/components/IAIButton'; import IAIMantineTextInput from 'common/components/IAIMantineInput'; import IAISimpleCheckbox from 'common/components/IAISimpleCheckbox'; import { MODEL_TYPE_MAP } from 'features/parameters/types/constants'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { addToast } from 'features/system/store/systemSlice'; import { makeToast } from 'features/system/util/makeToast'; import { useCallback, useEffect, useState } from 'react'; @@ -26,8 +25,6 @@ type CheckpointModelEditProps = { }; export default function CheckpointModelEdit(props: CheckpointModelEditProps) { - const isBusy = useAppSelector(selectIsBusy); - const { model } = props; const [updateMainModel, { isLoading }] = useUpdateMainModelsMutation(); @@ -189,11 +186,7 @@ export default function CheckpointModelEdit(props: CheckpointModelEditProps) { /> - + {t('modelManager.updateModel')} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/DiffusersModelEdit.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/DiffusersModelEdit.tsx index 39ba4bc4ce..67ec1f53db 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/DiffusersModelEdit.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/DiffusersModelEdit.tsx @@ -1,12 +1,11 @@ import { Divider, Flex, Text } from '@chakra-ui/react'; import { useForm } from '@mantine/form'; -import { makeToast } from 'features/system/util/makeToast'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useAppDispatch } from 'app/store/storeHooks'; import IAIButton from 'common/components/IAIButton'; import IAIMantineTextInput from 'common/components/IAIMantineInput'; import { MODEL_TYPE_MAP } from 'features/parameters/types/constants'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { addToast } from 'features/system/store/systemSlice'; +import { makeToast } from 'features/system/util/makeToast'; import { useCallback } from 'react'; import { useTranslation } from 'react-i18next'; import { @@ -22,8 +21,6 @@ type DiffusersModelEditProps = { }; export default function DiffusersModelEdit(props: DiffusersModelEditProps) { - const isBusy = useAppSelector(selectIsBusy); - const { model } = props; const [updateMainModel, { isLoading }] = useUpdateMainModelsMutation(); @@ -134,11 +131,7 @@ export default function DiffusersModelEdit(props: DiffusersModelEditProps) { label={t('modelManager.vaeLocation')} {...diffusersEditForm.getInputProps('vae')} /> - + {t('modelManager.updateModel')} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/LoRAModelEdit.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/LoRAModelEdit.tsx index c87550c7d1..284ce95b3a 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/LoRAModelEdit.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/LoRAModelEdit.tsx @@ -1,17 +1,16 @@ import { Divider, Flex, Text } from '@chakra-ui/react'; import { useForm } from '@mantine/form'; -import { makeToast } from 'features/system/util/makeToast'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useAppDispatch } from 'app/store/storeHooks'; import IAIButton from 'common/components/IAIButton'; import IAIMantineTextInput from 'common/components/IAIMantineInput'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; -import { addToast } from 'features/system/store/systemSlice'; -import { useCallback } from 'react'; -import { useTranslation } from 'react-i18next'; import { LORA_MODEL_FORMAT_MAP, MODEL_TYPE_MAP, } from 'features/parameters/types/constants'; +import { addToast } from 'features/system/store/systemSlice'; +import { makeToast } from 'features/system/util/makeToast'; +import { useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { LoRAModelConfigEntity, useUpdateLoRAModelsMutation, @@ -24,8 +23,6 @@ type LoRAModelEditProps = { }; export default function LoRAModelEdit(props: LoRAModelEditProps) { - const isBusy = useAppSelector(selectIsBusy); - const { model } = props; const [updateLoRAModel, { isLoading }] = useUpdateLoRAModelsMutation(); @@ -123,11 +120,7 @@ export default function LoRAModelEdit(props: LoRAModelEditProps) { label={t('modelManager.modelLocation')} {...loraEditForm.getInputProps('path')} /> - + {t('modelManager.updateModel')} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx index 396ece2063..1e744e44ac 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx @@ -1,11 +1,10 @@ import { DeleteIcon } from '@chakra-ui/icons'; import { Badge, Flex, Text, Tooltip } from '@chakra-ui/react'; import { makeToast } from 'features/system/util/makeToast'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useAppDispatch } from 'app/store/storeHooks'; import IAIAlertDialog from 'common/components/IAIAlertDialog'; import IAIButton from 'common/components/IAIButton'; import IAIIconButton from 'common/components/IAIIconButton'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { addToast } from 'features/system/store/systemSlice'; import { useCallback } from 'react'; import { useTranslation } from 'react-i18next'; @@ -25,7 +24,6 @@ type ModelListItemProps = { }; export default function ModelListItem(props: ModelListItemProps) { - const isBusy = useAppSelector(selectIsBusy); const { t } = useTranslation(); const dispatch = useAppDispatch(); const [deleteMainModel] = useDeleteMainModelsMutation(); @@ -129,7 +127,6 @@ export default function ModelListItem(props: ModelListItemProps) { } aria-label={t('modelManager.deleteConfig')} - isDisabled={isBusy} colorScheme="error" /> } diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/Queue/QueueTab.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/Queue/QueueTab.tsx new file mode 100644 index 0000000000..42dd5ee459 --- /dev/null +++ b/invokeai/frontend/web/src/features/ui/components/tabs/Queue/QueueTab.tsx @@ -0,0 +1,8 @@ +import QueueTabContent from 'features/queue/components/QueueTabContent'; +import { memo } from 'react'; + +const QueueTab = () => { + return ; +}; + +export default memo(QueueTab); diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters.tsx index 152efd3e17..ea6ef03e09 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters.tsx @@ -1,8 +1,5 @@ import { Box, Flex } from '@chakra-ui/react'; -import { createSelector } from '@reduxjs/toolkit'; -import { stateSelector } from 'app/store/store'; import { useAppSelector } from 'app/store/storeHooks'; -import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import IAICollapse from 'common/components/IAICollapse'; import ParamCFGScale from 'features/parameters/components/Parameters/Core/ParamCFGScale'; import ParamIterations from 'features/parameters/components/Parameters/Core/ParamIterations'; @@ -10,26 +7,19 @@ import ParamModelandVAEandScheduler from 'features/parameters/components/Paramet import ParamSize from 'features/parameters/components/Parameters/Core/ParamSize'; import ParamSteps from 'features/parameters/components/Parameters/Core/ParamSteps'; import ParamSeedFull from 'features/parameters/components/Parameters/Seed/ParamSeedFull'; +import { useCoreParametersCollapseLabel } from 'features/parameters/util/useCoreParametersCollapseLabel'; import { memo } from 'react'; -const selector = createSelector( - stateSelector, - ({ ui, generation }) => { - const { shouldUseSliders } = ui; - const { shouldRandomizeSeed } = generation; - - const activeLabel = !shouldRandomizeSeed ? 'Manual Seed' : undefined; - - return { shouldUseSliders, activeLabel }; - }, - defaultSelectorOptions -); - const TextToImageTabCoreParameters = () => { - const { shouldUseSliders, activeLabel } = useAppSelector(selector); + const shouldUseSliders = useAppSelector((state) => state.ui.shouldUseSliders); + const { iterationsAndSeedLabel } = useCoreParametersCollapseLabel(); return ( - + { - - ); diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasCopyToClipboard.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasCopyToClipboard.tsx index a68794a930..a865bcd0de 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasCopyToClipboard.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasCopyToClipboard.tsx @@ -1,9 +1,7 @@ -import { RootState } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIIconButton from 'common/components/IAIIconButton'; import { canvasCopiedToClipboard } from 'features/canvas/store/actions'; import { isStagingSelector } from 'features/canvas/store/canvasSelectors'; -import { getCanvasBaseLayer } from 'features/canvas/util/konvaInstanceProvider'; import { useCopyImageToClipboard } from 'features/ui/hooks/useCopyImageToClipboard'; import { useCallback } from 'react'; import { useHotkeys } from 'react-hotkeys-hook'; @@ -12,13 +10,8 @@ import { FaCopy } from 'react-icons/fa'; export default function UnifiedCanvasCopyToClipboard() { const isStaging = useAppSelector(isStagingSelector); - const canvasBaseLayer = getCanvasBaseLayer(); const { isClipboardAPIAvailable } = useCopyImageToClipboard(); - const isProcessing = useAppSelector( - (state: RootState) => state.system.isProcessing - ); - const dispatch = useAppDispatch(); const { t } = useTranslation(); @@ -31,7 +24,7 @@ export default function UnifiedCanvasCopyToClipboard() { enabled: () => !isStaging && isClipboardAPIAvailable, preventDefault: true, }, - [canvasBaseLayer, isProcessing, isClipboardAPIAvailable] + [isClipboardAPIAvailable] ); const handleCopyImageToClipboard = useCallback(() => { diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasMergeVisible.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasMergeVisible.tsx index e836766f1a..66c378e068 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasMergeVisible.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasMergeVisible.tsx @@ -1,21 +1,14 @@ -import { RootState } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIIconButton from 'common/components/IAIIconButton'; import { canvasMerged } from 'features/canvas/store/actions'; import { isStagingSelector } from 'features/canvas/store/canvasSelectors'; -import { getCanvasBaseLayer } from 'features/canvas/util/konvaInstanceProvider'; import { useHotkeys } from 'react-hotkeys-hook'; import { useTranslation } from 'react-i18next'; import { FaLayerGroup } from 'react-icons/fa'; - export default function UnifiedCanvasMergeVisible() { const dispatch = useAppDispatch(); const { t } = useTranslation(); - const canvasBaseLayer = getCanvasBaseLayer(); const isStaging = useAppSelector(isStagingSelector); - const isProcessing = useAppSelector( - (state: RootState) => state.system.isProcessing - ); useHotkeys( ['shift+m'], @@ -26,7 +19,7 @@ export default function UnifiedCanvasMergeVisible() { enabled: () => !isStaging, preventDefault: true, }, - [canvasBaseLayer, isProcessing] + [] ); const handleMergeVisible = () => { diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasSaveToGallery.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasSaveToGallery.tsx index 78b57181e6..31617a4dbe 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasSaveToGallery.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasSaveToGallery.tsx @@ -1,20 +1,13 @@ -import { RootState } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIIconButton from 'common/components/IAIIconButton'; import { canvasSavedToGallery } from 'features/canvas/store/actions'; import { isStagingSelector } from 'features/canvas/store/canvasSelectors'; -import { getCanvasBaseLayer } from 'features/canvas/util/konvaInstanceProvider'; import { useHotkeys } from 'react-hotkeys-hook'; import { useTranslation } from 'react-i18next'; import { FaSave } from 'react-icons/fa'; export default function UnifiedCanvasSaveToGallery() { const isStaging = useAppSelector(isStagingSelector); - const canvasBaseLayer = getCanvasBaseLayer(); - const isProcessing = useAppSelector( - (state: RootState) => state.system.isProcessing - ); - const dispatch = useAppDispatch(); const { t } = useTranslation(); @@ -27,7 +20,7 @@ export default function UnifiedCanvasSaveToGallery() { enabled: () => !isStaging, preventDefault: true, }, - [canvasBaseLayer, isProcessing] + [] ); const handleSaveToGallery = () => { diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasToolSelect.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasToolSelect.tsx index a11f40a257..59a0890960 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasToolSelect.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasToolSelect.tsx @@ -1,19 +1,16 @@ import { ButtonGroup, Flex } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; +import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIIconButton from 'common/components/IAIIconButton'; -import { - canvasSelector, - isStagingSelector, -} from 'features/canvas/store/canvasSelectors'; +import { isStagingSelector } from 'features/canvas/store/canvasSelectors'; import { addEraseRect, addFillRect, setTool, } from 'features/canvas/store/canvasSlice'; -import { systemSelector } from 'features/system/store/systemSelectors'; import { isEqual } from 'lodash-es'; -import { memo } from 'react'; +import { memo, useCallback } from 'react'; import { useHotkeys } from 'react-hotkeys-hook'; import { useTranslation } from 'react-i18next'; @@ -26,15 +23,13 @@ import { } from 'react-icons/fa'; export const selector = createSelector( - [canvasSelector, isStagingSelector, systemSelector], - (canvas, isStaging, system) => { - const { isProcessing } = system; + [stateSelector, isStagingSelector], + ({ canvas }, isStaging) => { const { tool } = canvas; return { tool, isStaging, - isProcessing, }; }, { @@ -107,11 +102,23 @@ const UnifiedCanvasToolSelect = () => { } ); - const handleSelectBrushTool = () => dispatch(setTool('brush')); - const handleSelectEraserTool = () => dispatch(setTool('eraser')); - const handleSelectColorPickerTool = () => dispatch(setTool('colorPicker')); - const handleFillRect = () => dispatch(addFillRect()); - const handleEraseBoundingBox = () => dispatch(addEraseRect()); + const handleSelectBrushTool = useCallback( + () => dispatch(setTool('brush')), + [dispatch] + ); + const handleSelectEraserTool = useCallback( + () => dispatch(setTool('eraser')), + [dispatch] + ); + const handleSelectColorPickerTool = useCallback( + () => dispatch(setTool('colorPicker')), + [dispatch] + ); + const handleFillRect = useCallback(() => dispatch(addFillRect()), [dispatch]); + const handleEraseBoundingBox = useCallback( + () => dispatch(addEraseRect()), + [dispatch] + ); return ( diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasCoreParameters.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasCoreParameters.tsx index 36f7ff7320..c57a68ed62 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasCoreParameters.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasCoreParameters.tsx @@ -1,8 +1,5 @@ import { Box, Flex } from '@chakra-ui/react'; -import { createSelector } from '@reduxjs/toolkit'; -import { stateSelector } from 'app/store/store'; import { useAppSelector } from 'app/store/storeHooks'; -import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import IAICollapse from 'common/components/IAICollapse'; import ParamBoundingBoxSize from 'features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize'; import ParamCFGScale from 'features/parameters/components/Parameters/Core/ParamCFGScale'; @@ -11,26 +8,19 @@ import ParamModelandVAEandScheduler from 'features/parameters/components/Paramet import ParamSteps from 'features/parameters/components/Parameters/Core/ParamSteps'; import ImageToImageStrength from 'features/parameters/components/Parameters/ImageToImage/ImageToImageStrength'; import ParamSeedFull from 'features/parameters/components/Parameters/Seed/ParamSeedFull'; +import { useCoreParametersCollapseLabel } from 'features/parameters/util/useCoreParametersCollapseLabel'; import { memo } from 'react'; -const selector = createSelector( - stateSelector, - ({ ui, generation }) => { - const { shouldUseSliders } = ui; - const { shouldRandomizeSeed } = generation; - - const activeLabel = !shouldRandomizeSeed ? 'Manual Seed' : undefined; - - return { shouldUseSliders, activeLabel }; - }, - defaultSelectorOptions -); - const UnifiedCanvasCoreParameters = () => { - const { shouldUseSliders, activeLabel } = useAppSelector(selector); + const shouldUseSliders = useAppSelector((state) => state.ui.shouldUseSliders); + const { iterationsAndSeedLabel } = useCoreParametersCollapseLabel(); return ( - + { - ); diff --git a/invokeai/frontend/web/src/features/ui/hooks/useCopyImageToClipboard.ts b/invokeai/frontend/web/src/features/ui/hooks/useCopyImageToClipboard.ts index 314abad081..cefbf3d14e 100644 --- a/invokeai/frontend/web/src/features/ui/hooks/useCopyImageToClipboard.ts +++ b/invokeai/frontend/web/src/features/ui/hooks/useCopyImageToClipboard.ts @@ -1,6 +1,7 @@ import { useAppToaster } from 'app/components/Toaster'; import { useCallback, useMemo } from 'react'; import { useTranslation } from 'react-i18next'; +import { copyBlobToClipboard } from 'features/system/util/copyBlobToClipboard'; export const useCopyImageToClipboard = () => { const toaster = useAppToaster(); @@ -22,13 +23,13 @@ export const useCopyImageToClipboard = () => { }); } try { - const response = await fetch(image_url); - const blob = await response.blob(); - await navigator.clipboard.write([ - new ClipboardItem({ - [blob.type]: blob, - }), - ]); + const getImageBlob = async () => { + const response = await fetch(image_url); + return await response.blob(); + }; + + copyBlobToClipboard(getImageBlob()); + toaster({ title: t('toast.imageCopied'), status: 'success', diff --git a/invokeai/frontend/web/src/features/ui/store/tabMap.ts b/invokeai/frontend/web/src/features/ui/store/tabMap.ts index 0cae8eac43..f4abd17203 100644 --- a/invokeai/frontend/web/src/features/ui/store/tabMap.ts +++ b/invokeai/frontend/web/src/features/ui/store/tabMap.ts @@ -4,7 +4,7 @@ export const tabMap = [ 'unifiedCanvas', 'nodes', 'modelManager', - 'batch', + 'queue', ] as const; export type InvokeTabName = (typeof tabMap)[number]; diff --git a/invokeai/frontend/web/src/services/api/endpoints/appInfo.ts b/invokeai/frontend/web/src/services/api/endpoints/appInfo.ts index 2d3537998d..ffe2afd2f6 100644 --- a/invokeai/frontend/web/src/services/api/endpoints/appInfo.ts +++ b/invokeai/frontend/web/src/services/api/endpoints/appInfo.ts @@ -1,4 +1,5 @@ import { api } from '..'; +import { paths } from '../schema'; import { AppConfig, AppVersion } from '../types'; export const appInfoApi = api.injectEndpoints({ @@ -19,7 +20,45 @@ export const appInfoApi = api.injectEndpoints({ providesTags: ['AppConfig'], keepUnusedDataFor: 86400000, // 1 day }), + getInvocationCacheStatus: build.query< + paths['/api/v1/app/invocation_cache/status']['get']['responses']['200']['content']['application/json'], + void + >({ + query: () => ({ + url: `app/invocation_cache/status`, + method: 'GET', + }), + providesTags: ['InvocationCacheStatus'], + }), + clearInvocationCache: build.mutation({ + query: () => ({ + url: `app/invocation_cache`, + method: 'DELETE', + }), + invalidatesTags: ['InvocationCacheStatus'], + }), + enableInvocationCache: build.mutation({ + query: () => ({ + url: `app/invocation_cache/enable`, + method: 'PUT', + }), + invalidatesTags: ['InvocationCacheStatus'], + }), + disableInvocationCache: build.mutation({ + query: () => ({ + url: `app/invocation_cache/disable`, + method: 'PUT', + }), + invalidatesTags: ['InvocationCacheStatus'], + }), }), }); -export const { useGetAppVersionQuery, useGetAppConfigQuery } = appInfoApi; +export const { + useGetAppVersionQuery, + useGetAppConfigQuery, + useClearInvocationCacheMutation, + useDisableInvocationCacheMutation, + useEnableInvocationCacheMutation, + useGetInvocationCacheStatusQuery, +} = appInfoApi; diff --git a/invokeai/frontend/web/src/services/api/endpoints/boards.ts b/invokeai/frontend/web/src/services/api/endpoints/boards.ts index 82167dc7ba..53b3bfd59d 100644 --- a/invokeai/frontend/web/src/services/api/endpoints/boards.ts +++ b/invokeai/frontend/web/src/services/api/endpoints/boards.ts @@ -9,7 +9,7 @@ import { OffsetPaginatedResults_ImageDTO_, UpdateBoardArg, } from 'services/api/types'; -import { ApiFullTagDescription, LIST_TAG, api } from '..'; +import { ApiTagDescription, LIST_TAG, api } from '..'; import { getListImagesUrl } from '../util'; export const boardsApi = api.injectEndpoints({ @@ -21,7 +21,7 @@ export const boardsApi = api.injectEndpoints({ query: (arg) => ({ url: 'boards/', params: arg }), providesTags: (result) => { // any list of boards - const tags: ApiFullTagDescription[] = [{ type: 'Board', id: LIST_TAG }]; + const tags: ApiTagDescription[] = [{ type: 'Board', id: LIST_TAG }]; if (result) { // and individual tags for each board @@ -44,7 +44,7 @@ export const boardsApi = api.injectEndpoints({ }), providesTags: (result) => { // any list of boards - const tags: ApiFullTagDescription[] = [{ type: 'Board', id: LIST_TAG }]; + const tags: ApiTagDescription[] = [{ type: 'Board', id: LIST_TAG }]; if (result) { // and individual tags for each board diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts index 6b04864815..e653a6ec3e 100644 --- a/invokeai/frontend/web/src/services/api/endpoints/images.ts +++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts @@ -1,4 +1,5 @@ import { EntityState, Update } from '@reduxjs/toolkit'; +import { fetchBaseQuery } from '@reduxjs/toolkit/dist/query'; import { PatchCollection } from '@reduxjs/toolkit/dist/query/core/buildThunks'; import { ASSETS_CATEGORIES, @@ -6,9 +7,14 @@ import { IMAGE_CATEGORIES, IMAGE_LIMIT, } from 'features/gallery/store/types'; +import { + ImageMetadataAndWorkflow, + zCoreMetadata, +} from 'features/nodes/types/types'; import { getMetadataAndWorkflowFromImageBlob } from 'features/nodes/util/getMetadataAndWorkflowFromImageBlob'; import { keyBy } from 'lodash-es'; -import { ApiFullTagDescription, LIST_TAG, api } from '..'; +import { ApiTagDescription, LIST_TAG, api } from '..'; +import { $authToken, $projectId } from '../client'; import { components, paths } from '../schema'; import { DeleteBoardResult, @@ -27,9 +33,6 @@ import { imagesSelectors, } from '../util'; import { boardsApi } from './boards'; -import { ImageMetadataAndWorkflow } from 'features/nodes/types/types'; -import { fetchBaseQuery } from '@reduxjs/toolkit/dist/query'; -import { $authToken, $projectId } from '../client'; export const imagesApi = api.injectEndpoints({ endpoints: (build) => ({ @@ -117,39 +120,65 @@ export const imagesApi = api.injectEndpoints({ ], keepUnusedDataFor: 86400, // 24 hours }), - getImageMetadataFromFile: build.query({ - queryFn: async (args: ImageDTO, api, extraOptions) => { - const authToken = $authToken.get(); - const projectId = $projectId.get(); - const customBaseQuery = fetchBaseQuery({ - baseUrl: '', - prepareHeaders: (headers) => { - if (authToken) { - headers.set('Authorization', `Bearer ${authToken}`); - } - if (projectId) { - headers.set('project-id', projectId); + getImageMetadataFromFile: build.query< + ImageMetadataAndWorkflow, + { image: ImageDTO; shouldFetchMetadataFromApi: boolean } + >({ + queryFn: async ( + args: { image: ImageDTO; shouldFetchMetadataFromApi: boolean }, + api, + extraOptions, + fetchWithBaseQuery + ) => { + if (args.shouldFetchMetadataFromApi) { + let metadata; + const metadataResponse = await fetchWithBaseQuery( + `images/i/${args.image.image_name}/metadata` + ); + if (metadataResponse.data) { + const metadataResult = zCoreMetadata.safeParse( + // eslint-disable-next-line @typescript-eslint/no-explicit-any + (metadataResponse.data as any)?.metadata + ); + if (metadataResult.success) { + metadata = metadataResult.data; } + } + return { data: { metadata } }; + } else { + const authToken = $authToken.get(); + const projectId = $projectId.get(); + const customBaseQuery = fetchBaseQuery({ + baseUrl: '', + prepareHeaders: (headers) => { + if (authToken) { + headers.set('Authorization', `Bearer ${authToken}`); + } + if (projectId) { + headers.set('project-id', projectId); + } - return headers; - }, - responseHandler: async (res) => { - return await res.blob(); - }, - }); + return headers; + }, + responseHandler: async (res) => { + return await res.blob(); + }, + }); - const response = await customBaseQuery( - args.image_url, - api, - extraOptions - ); - const data = await getMetadataAndWorkflowFromImageBlob( - response.data as Blob - ); - return { data }; + const response = await customBaseQuery( + args.image.image_url, + api, + extraOptions + ); + const data = await getMetadataAndWorkflowFromImageBlob( + response.data as Blob + ); + + return { data }; + } }, - providesTags: (result, error, image_dto) => [ - { type: 'ImageMetadataFromFile', id: image_dto.image_name }, + providesTags: (result, error, { image }) => [ + { type: 'ImageMetadataFromFile', id: image.image_name }, ], keepUnusedDataFor: 86400, // 24 hours }), @@ -1281,7 +1310,7 @@ export const imagesApi = api.injectEndpoints({ }), invalidatesTags: (result, error, { imageDTOs }) => { const touchedBoardIds: string[] = []; - const tags: ApiFullTagDescription[] = [ + const tags: ApiTagDescription[] = [ { type: 'BoardImagesTotal', id: 'none' }, { type: 'BoardAssetsTotal', id: 'none' }, ]; diff --git a/invokeai/frontend/web/src/services/api/endpoints/models.ts b/invokeai/frontend/web/src/services/api/endpoints/models.ts index 9be8bd13f6..41c0dee7fd 100644 --- a/invokeai/frontend/web/src/services/api/endpoints/models.ts +++ b/invokeai/frontend/web/src/services/api/endpoints/models.ts @@ -5,6 +5,7 @@ import { BaseModelType, CheckpointModelConfig, ControlNetModelConfig, + IPAdapterModelConfig, DiffusersModelConfig, ImportModelConfig, LoRAModelConfig, @@ -17,7 +18,7 @@ import { } from 'services/api/types'; import queryString from 'query-string'; -import { ApiFullTagDescription, LIST_TAG, api } from '..'; +import { ApiTagDescription, LIST_TAG, api } from '..'; import { operations, paths } from '../schema'; export type DiffusersModelConfigEntity = DiffusersModelConfig & { id: string }; @@ -36,6 +37,10 @@ export type ControlNetModelConfigEntity = ControlNetModelConfig & { id: string; }; +export type IPAdapterModelConfigEntity = IPAdapterModelConfig & { + id: string; +}; + export type TextualInversionModelConfigEntity = TextualInversionModelConfig & { id: string; }; @@ -47,6 +52,7 @@ type AnyModelConfigEntity = | OnnxModelConfigEntity | LoRAModelConfigEntity | ControlNetModelConfigEntity + | IPAdapterModelConfigEntity | TextualInversionModelConfigEntity | VaeModelConfigEntity; @@ -128,13 +134,17 @@ export const mainModelsAdapter = createEntityAdapter({ const onnxModelsAdapter = createEntityAdapter({ sortComparer: (a, b) => a.model_name.localeCompare(b.model_name), }); -const loraModelsAdapter = createEntityAdapter({ +export const loraModelsAdapter = createEntityAdapter({ sortComparer: (a, b) => a.model_name.localeCompare(b.model_name), }); export const controlNetModelsAdapter = createEntityAdapter({ sortComparer: (a, b) => a.model_name.localeCompare(b.model_name), }); +export const ipAdapterModelsAdapter = + createEntityAdapter({ + sortComparer: (a, b) => a.model_name.localeCompare(b.model_name), + }); export const textualInversionModelsAdapter = createEntityAdapter({ sortComparer: (a, b) => a.model_name.localeCompare(b.model_name), @@ -179,9 +189,7 @@ export const modelsApi = api.injectEndpoints({ return `models/?${query}`; }, providesTags: (result) => { - const tags: ApiFullTagDescription[] = [ - { type: 'OnnxModel', id: LIST_TAG }, - ]; + const tags: ApiTagDescription[] = [{ type: 'OnnxModel', id: LIST_TAG }]; if (result) { tags.push( @@ -218,9 +226,7 @@ export const modelsApi = api.injectEndpoints({ return `models/?${query}`; }, providesTags: (result) => { - const tags: ApiFullTagDescription[] = [ - { type: 'MainModel', id: LIST_TAG }, - ]; + const tags: ApiTagDescription[] = [{ type: 'MainModel', id: LIST_TAG }]; if (result) { tags.push( @@ -354,9 +360,7 @@ export const modelsApi = api.injectEndpoints({ getLoRAModels: build.query, void>({ query: () => ({ url: 'models/', params: { model_type: 'lora' } }), providesTags: (result) => { - const tags: ApiFullTagDescription[] = [ - { type: 'LoRAModel', id: LIST_TAG }, - ]; + const tags: ApiTagDescription[] = [{ type: 'LoRAModel', id: LIST_TAG }]; if (result) { tags.push( @@ -410,7 +414,7 @@ export const modelsApi = api.injectEndpoints({ >({ query: () => ({ url: 'models/', params: { model_type: 'controlnet' } }), providesTags: (result) => { - const tags: ApiFullTagDescription[] = [ + const tags: ApiTagDescription[] = [ { type: 'ControlNetModel', id: LIST_TAG }, ]; @@ -435,12 +439,41 @@ export const modelsApi = api.injectEndpoints({ ); }, }), + getIPAdapterModels: build.query< + EntityState, + void + >({ + query: () => ({ url: 'models/', params: { model_type: 'ip_adapter' } }), + providesTags: (result) => { + const tags: ApiTagDescription[] = [ + { type: 'IPAdapterModel', id: LIST_TAG }, + ]; + + if (result) { + tags.push( + ...result.ids.map((id) => ({ + type: 'IPAdapterModel' as const, + id, + })) + ); + } + + return tags; + }, + transformResponse: (response: { models: IPAdapterModelConfig[] }) => { + const entities = createModelEntities( + response.models + ); + return ipAdapterModelsAdapter.setAll( + ipAdapterModelsAdapter.getInitialState(), + entities + ); + }, + }), getVaeModels: build.query, void>({ query: () => ({ url: 'models/', params: { model_type: 'vae' } }), providesTags: (result) => { - const tags: ApiFullTagDescription[] = [ - { type: 'VaeModel', id: LIST_TAG }, - ]; + const tags: ApiTagDescription[] = [{ type: 'VaeModel', id: LIST_TAG }]; if (result) { tags.push( @@ -469,7 +502,7 @@ export const modelsApi = api.injectEndpoints({ >({ query: () => ({ url: 'models/', params: { model_type: 'embedding' } }), providesTags: (result) => { - const tags: ApiFullTagDescription[] = [ + const tags: ApiTagDescription[] = [ { type: 'TextualInversionModel', id: LIST_TAG }, ]; @@ -504,7 +537,7 @@ export const modelsApi = api.injectEndpoints({ }; }, providesTags: (result) => { - const tags: ApiFullTagDescription[] = [ + const tags: ApiTagDescription[] = [ { type: 'ScannedModels', id: LIST_TAG }, ]; @@ -533,6 +566,7 @@ export const { useGetMainModelsQuery, useGetOnnxModelsQuery, useGetControlNetModelsQuery, + useGetIPAdapterModelsQuery, useGetLoRAModelsQuery, useGetTextualInversionModelsQuery, useGetVaeModelsQuery, diff --git a/invokeai/frontend/web/src/services/api/endpoints/queue.ts b/invokeai/frontend/web/src/services/api/endpoints/queue.ts new file mode 100644 index 0000000000..6d436b231f --- /dev/null +++ b/invokeai/frontend/web/src/services/api/endpoints/queue.ts @@ -0,0 +1,382 @@ +import { + AnyAction, + EntityState, + ThunkDispatch, + createEntityAdapter, +} from '@reduxjs/toolkit'; +import { $queueId } from 'features/queue/store/nanoStores'; +import { listParamsReset } from 'features/queue/store/queueSlice'; +import queryString from 'query-string'; +import { ApiTagDescription, api } from '..'; +import { components, paths } from '../schema'; + +const getListQueueItemsUrl = ( + queryArgs?: paths['/api/v1/queue/{queue_id}/list']['get']['parameters']['query'] +) => { + const query = queryArgs + ? queryString.stringify(queryArgs, { + arrayFormat: 'none', + }) + : undefined; + + if (query) { + return `queue/${$queueId.get()}/list?${query}`; + } + + return `queue/${$queueId.get()}/list`; +}; + +export type SessionQueueItemStatus = NonNullable< + NonNullable< + paths['/api/v1/queue/{queue_id}/list']['get']['parameters']['query'] + >['status'] +>; + +export const queueItemsAdapter = createEntityAdapter< + components['schemas']['SessionQueueItemDTO'] +>({ + selectId: (queueItem) => queueItem.item_id, + sortComparer: (a, b) => { + // Sort by priority in descending order + if (a.priority > b.priority) { + return -1; + } + if (a.priority < b.priority) { + return 1; + } + + // If priority is the same, sort by id in ascending order + if (a.item_id < b.item_id) { + return -1; + } + if (a.item_id > b.item_id) { + return 1; + } + + return 0; + }, +}); + +export const queueApi = api.injectEndpoints({ + endpoints: (build) => ({ + enqueueBatch: build.mutation< + paths['/api/v1/queue/{queue_id}/enqueue_batch']['post']['responses']['201']['content']['application/json'], + paths['/api/v1/queue/{queue_id}/enqueue_batch']['post']['requestBody']['content']['application/json'] + >({ + query: (arg) => ({ + url: `queue/${$queueId.get()}/enqueue_batch`, + body: arg, + method: 'POST', + }), + invalidatesTags: [ + 'SessionQueueStatus', + 'CurrentSessionQueueItem', + 'NextSessionQueueItem', + ], + onQueryStarted: async (arg, api) => { + const { dispatch, queryFulfilled } = api; + try { + await queryFulfilled; + resetListQueryData(dispatch); + } catch { + // no-op + } + }, + }), + enqueueGraph: build.mutation< + paths['/api/v1/queue/{queue_id}/enqueue_graph']['post']['responses']['201']['content']['application/json'], + paths['/api/v1/queue/{queue_id}/enqueue_graph']['post']['requestBody']['content']['application/json'] + >({ + query: (arg) => ({ + url: `queue/${$queueId.get()}/enqueue_graph`, + body: arg, + method: 'POST', + }), + invalidatesTags: [ + 'SessionQueueStatus', + 'CurrentSessionQueueItem', + 'NextSessionQueueItem', + ], + onQueryStarted: async (arg, api) => { + const { dispatch, queryFulfilled } = api; + try { + await queryFulfilled; + resetListQueryData(dispatch); + } catch { + // no-op + } + }, + }), + resumeProcessor: build.mutation< + paths['/api/v1/queue/{queue_id}/processor/resume']['put']['responses']['200']['content']['application/json'], + void + >({ + query: () => ({ + url: `queue/${$queueId.get()}/processor/resume`, + method: 'PUT', + }), + invalidatesTags: ['CurrentSessionQueueItem', 'SessionQueueStatus'], + }), + pauseProcessor: build.mutation< + paths['/api/v1/queue/{queue_id}/processor/pause']['put']['responses']['200']['content']['application/json'], + void + >({ + query: () => ({ + url: `queue/${$queueId.get()}/processor/pause`, + method: 'PUT', + }), + invalidatesTags: ['CurrentSessionQueueItem', 'SessionQueueStatus'], + }), + pruneQueue: build.mutation< + paths['/api/v1/queue/{queue_id}/prune']['put']['responses']['200']['content']['application/json'], + void + >({ + query: () => ({ + url: `queue/${$queueId.get()}/prune`, + method: 'PUT', + }), + invalidatesTags: [ + 'SessionQueueStatus', + 'BatchStatus', + 'SessionQueueItem', + 'SessionQueueItemDTO', + ], + onQueryStarted: async (arg, api) => { + const { dispatch, queryFulfilled } = api; + try { + await queryFulfilled; + resetListQueryData(dispatch); + } catch { + // no-op + } + }, + }), + clearQueue: build.mutation< + paths['/api/v1/queue/{queue_id}/clear']['put']['responses']['200']['content']['application/json'], + void + >({ + query: () => ({ + url: `queue/${$queueId.get()}/clear`, + method: 'PUT', + }), + invalidatesTags: [ + 'SessionQueueStatus', + 'SessionProcessorStatus', + 'BatchStatus', + 'CurrentSessionQueueItem', + 'NextSessionQueueItem', + 'SessionQueueItem', + 'SessionQueueItemDTO', + ], + onQueryStarted: async (arg, api) => { + const { dispatch, queryFulfilled } = api; + try { + await queryFulfilled; + resetListQueryData(dispatch); + } catch { + // no-op + } + }, + }), + getCurrentQueueItem: build.query< + paths['/api/v1/queue/{queue_id}/current']['get']['responses']['200']['content']['application/json'], + void + >({ + query: () => ({ + url: `queue/${$queueId.get()}/current`, + method: 'GET', + }), + providesTags: (result) => { + const tags: ApiTagDescription[] = ['CurrentSessionQueueItem']; + if (result) { + tags.push({ type: 'SessionQueueItem', id: result.item_id }); + } + return tags; + }, + }), + getNextQueueItem: build.query< + paths['/api/v1/queue/{queue_id}/next']['get']['responses']['200']['content']['application/json'], + void + >({ + query: () => ({ + url: `queue/${$queueId.get()}/next`, + method: 'GET', + }), + providesTags: (result) => { + const tags: ApiTagDescription[] = ['NextSessionQueueItem']; + if (result) { + tags.push({ type: 'SessionQueueItem', id: result.item_id }); + } + return tags; + }, + }), + getQueueStatus: build.query< + paths['/api/v1/queue/{queue_id}/status']['get']['responses']['200']['content']['application/json'], + void + >({ + query: () => ({ + url: `queue/${$queueId.get()}/status`, + method: 'GET', + }), + + providesTags: ['SessionQueueStatus'], + }), + getBatchStatus: build.query< + paths['/api/v1/queue/{queue_id}/b/{batch_id}/status']['get']['responses']['200']['content']['application/json'], + { batch_id: string } + >({ + query: ({ batch_id }) => ({ + url: `queue/${$queueId.get()}/b/${batch_id}/status`, + method: 'GET', + }), + providesTags: (result) => { + if (!result) { + return []; + } + return [{ type: 'BatchStatus', id: result.batch_id }]; + }, + }), + getQueueItem: build.query< + paths['/api/v1/queue/{queue_id}/i/{item_id}']['get']['responses']['200']['content']['application/json'], + number + >({ + query: (item_id) => ({ + url: `queue/${$queueId.get()}/i/${item_id}`, + method: 'GET', + }), + providesTags: (result) => { + if (!result) { + return []; + } + return [{ type: 'SessionQueueItem', id: result.item_id }]; + }, + }), + cancelQueueItem: build.mutation< + paths['/api/v1/queue/{queue_id}/i/{item_id}/cancel']['put']['responses']['200']['content']['application/json'], + number + >({ + query: (item_id) => ({ + url: `queue/${$queueId.get()}/i/${item_id}/cancel`, + method: 'PUT', + }), + onQueryStarted: async (item_id, { dispatch, queryFulfilled }) => { + try { + const { data } = await queryFulfilled; + dispatch( + queueApi.util.updateQueryData( + 'listQueueItems', + undefined, + (draft) => { + queueItemsAdapter.updateOne(draft, { + id: item_id, + changes: { status: data.status }, + }); + } + ) + ); + } catch { + // no-op + } + }, + invalidatesTags: (result) => { + if (!result) { + return []; + } + return [ + { type: 'SessionQueueItem', id: result.item_id }, + { type: 'SessionQueueItemDTO', id: result.item_id }, + { type: 'BatchStatus', id: result.batch_id }, + ]; + }, + }), + cancelByBatchIds: build.mutation< + paths['/api/v1/queue/{queue_id}/cancel_by_batch_ids']['put']['responses']['200']['content']['application/json'], + paths['/api/v1/queue/{queue_id}/cancel_by_batch_ids']['put']['requestBody']['content']['application/json'] + >({ + query: (body) => ({ + url: `queue/${$queueId.get()}/cancel_by_batch_ids`, + method: 'PUT', + body, + }), + onQueryStarted: async (arg, api) => { + const { dispatch, queryFulfilled } = api; + try { + await queryFulfilled; + resetListQueryData(dispatch); + } catch { + // no-op + } + }, + invalidatesTags: [ + 'SessionQueueItem', + 'SessionQueueItemDTO', + 'BatchStatus', + ], + }), + listQueueItems: build.query< + EntityState & { + has_more: boolean; + }, + { cursor?: number; priority?: number } | undefined + >({ + query: (queryArgs) => ({ + url: getListQueueItemsUrl(queryArgs), + method: 'GET', + }), + serializeQueryArgs: () => { + return `queue/${$queueId.get()}/list`; + }, + transformResponse: ( + response: components['schemas']['CursorPaginatedResults_SessionQueueItemDTO_'] + ) => + queueItemsAdapter.addMany( + queueItemsAdapter.getInitialState({ + has_more: response.has_more, + }), + response.items + ), + merge: (cache, response) => { + queueItemsAdapter.addMany( + cache, + queueItemsAdapter.getSelectors().selectAll(response) + ); + cache.has_more = response.has_more; + }, + forceRefetch: ({ currentArg, previousArg }) => currentArg !== previousArg, + keepUnusedDataFor: 60 * 5, // 5 minutes + }), + }), +}); + +export const { + useCancelByBatchIdsMutation, + useEnqueueGraphMutation, + useEnqueueBatchMutation, + usePauseProcessorMutation, + useResumeProcessorMutation, + useClearQueueMutation, + usePruneQueueMutation, + useGetCurrentQueueItemQuery, + useGetQueueStatusQuery, + useGetQueueItemQuery, + useGetNextQueueItemQuery, + useListQueueItemsQuery, + useCancelQueueItemMutation, + useGetBatchStatusQuery, +} = queueApi; + +// eslint-disable-next-line @typescript-eslint/no-explicit-any +const resetListQueryData = (dispatch: ThunkDispatch) => { + dispatch( + queueApi.util.updateQueryData('listQueueItems', undefined, (draft) => { + // remove all items from the list + queueItemsAdapter.removeAll(draft); + // reset the has_more flag + draft.has_more = false; + }) + ); + // set the list cursor and priority to undefined + dispatch(listParamsReset()); + // we have to manually kick off another query to get the first page and re-initialize the list + dispatch(queueApi.endpoints.listQueueItems.initiate(undefined)); +}; diff --git a/invokeai/frontend/web/src/services/api/endpoints/utilities.ts b/invokeai/frontend/web/src/services/api/endpoints/utilities.ts new file mode 100644 index 0000000000..4d2c77c188 --- /dev/null +++ b/invokeai/frontend/web/src/services/api/endpoints/utilities.ts @@ -0,0 +1,20 @@ +import { api } from '..'; +import { components } from '../schema'; + +export const utilitiesApi = api.injectEndpoints({ + endpoints: (build) => ({ + dynamicPrompts: build.query< + components['schemas']['DynamicPromptsResponse'], + { prompt: string; max_prompts: number } + >({ + query: (arg) => ({ + url: 'utilities/dynamicprompts', + body: arg, + method: 'POST', + }), + keepUnusedDataFor: 86400, // 24 hours + }), + }), +}); + +export const { useDynamicPromptsQuery } = utilitiesApi; diff --git a/invokeai/frontend/web/src/services/api/index.ts b/invokeai/frontend/web/src/services/api/index.ts index 325456901b..b39b11af29 100644 --- a/invokeai/frontend/web/src/services/api/index.ts +++ b/invokeai/frontend/web/src/services/api/index.ts @@ -1,4 +1,4 @@ -import { FullTagDescription } from '@reduxjs/toolkit/dist/query/endpointDefinitions'; +import { TagDescription } from '@reduxjs/toolkit/dist/query/endpointDefinitions'; import { BaseQueryFn, FetchArgs, @@ -18,10 +18,15 @@ export const tagTypes = [ 'ImageMetadata', 'ImageMetadataFromFile', 'Model', + 'SessionQueueItem', + 'SessionQueueItemDTO', + 'SessionQueueItemDTOList', + 'SessionQueueStatus', + 'SessionProcessorStatus', + 'BatchStatus', + 'InvocationCacheStatus', ]; -export type ApiFullTagDescription = FullTagDescription< - (typeof tagTypes)[number] ->; +export type ApiTagDescription = TagDescription<(typeof tagTypes)[number]>; export const LIST_TAG = 'LIST'; const dynamicBaseQuery: BaseQueryFn< diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts index f4b87e15da..cc47c0766d 100644 --- a/invokeai/frontend/web/src/services/api/schema.d.ts +++ b/invokeai/frontend/web/src/services/api/schema.d.ts @@ -8,11 +8,13 @@ export type paths = { "/api/v1/sessions/": { /** * List Sessions + * @deprecated * @description Gets a list of sessions, optionally searching */ get: operations["list_sessions"]; /** * Create Session + * @deprecated * @description Creates a new session, optionally initializing it with an invocation graph */ post: operations["create_session"]; @@ -20,6 +22,7 @@ export type paths = { "/api/v1/sessions/{session_id}": { /** * Get Session + * @deprecated * @description Gets a session */ get: operations["get_session"]; @@ -27,6 +30,7 @@ export type paths = { "/api/v1/sessions/{session_id}/nodes": { /** * Add Node + * @deprecated * @description Adds a node to the graph */ post: operations["add_node"]; @@ -34,11 +38,13 @@ export type paths = { "/api/v1/sessions/{session_id}/nodes/{node_path}": { /** * Update Node + * @deprecated * @description Updates a node in the graph and removes all linked edges */ put: operations["update_node"]; /** * Delete Node + * @deprecated * @description Deletes a node in the graph and removes all linked edges */ delete: operations["delete_node"]; @@ -46,6 +52,7 @@ export type paths = { "/api/v1/sessions/{session_id}/edges": { /** * Add Edge + * @deprecated * @description Adds an edge to the graph */ post: operations["add_edge"]; @@ -53,6 +60,7 @@ export type paths = { "/api/v1/sessions/{session_id}/edges/{from_node_id}/{from_field}/{to_node_id}/{to_field}": { /** * Delete Edge + * @deprecated * @description Deletes an edge from the graph */ delete: operations["delete_edge"]; @@ -60,15 +68,24 @@ export type paths = { "/api/v1/sessions/{session_id}/invoke": { /** * Invoke Session + * @deprecated * @description Invokes a session */ put: operations["invoke_session"]; /** * Cancel Session Invoke + * @deprecated * @description Invokes a session */ delete: operations["cancel_session_invoke"]; }; + "/api/v1/utilities/dynamicprompts": { + /** + * Parse Dynamicprompts + * @description Creates a batch process + */ + post: operations["parse_dynamicprompts"]; + }; "/api/v1/models/": { /** * List Models @@ -300,6 +317,132 @@ export type paths = { */ post: operations["set_log_level"]; }; + "/api/v1/app/invocation_cache": { + /** + * Clear Invocation Cache + * @description Clears the invocation cache + */ + delete: operations["clear_invocation_cache"]; + }; + "/api/v1/app/invocation_cache/enable": { + /** + * Enable Invocation Cache + * @description Clears the invocation cache + */ + put: operations["enable_invocation_cache"]; + }; + "/api/v1/app/invocation_cache/disable": { + /** + * Disable Invocation Cache + * @description Clears the invocation cache + */ + put: operations["disable_invocation_cache"]; + }; + "/api/v1/app/invocation_cache/status": { + /** + * Get Invocation Cache Status + * @description Clears the invocation cache + */ + get: operations["get_invocation_cache_status"]; + }; + "/api/v1/queue/{queue_id}/enqueue_graph": { + /** + * Enqueue Graph + * @description Enqueues a graph for single execution. + */ + post: operations["enqueue_graph"]; + }; + "/api/v1/queue/{queue_id}/enqueue_batch": { + /** + * Enqueue Batch + * @description Processes a batch and enqueues the output graphs for execution. + */ + post: operations["enqueue_batch"]; + }; + "/api/v1/queue/{queue_id}/list": { + /** + * List Queue Items + * @description Gets all queue items (without graphs) + */ + get: operations["list_queue_items"]; + }; + "/api/v1/queue/{queue_id}/processor/resume": { + /** + * Resume + * @description Resumes session processor + */ + put: operations["resume"]; + }; + "/api/v1/queue/{queue_id}/processor/pause": { + /** + * Pause + * @description Pauses session processor + */ + put: operations["pause"]; + }; + "/api/v1/queue/{queue_id}/cancel_by_batch_ids": { + /** + * Cancel By Batch Ids + * @description Immediately cancels all queue items from the given batch ids + */ + put: operations["cancel_by_batch_ids"]; + }; + "/api/v1/queue/{queue_id}/clear": { + /** + * Clear + * @description Clears the queue entirely, immediately canceling the currently-executing session + */ + put: operations["clear"]; + }; + "/api/v1/queue/{queue_id}/prune": { + /** + * Prune + * @description Prunes all completed or errored queue items + */ + put: operations["prune"]; + }; + "/api/v1/queue/{queue_id}/current": { + /** + * Get Current Queue Item + * @description Gets the currently execution queue item + */ + get: operations["get_current_queue_item"]; + }; + "/api/v1/queue/{queue_id}/next": { + /** + * Get Next Queue Item + * @description Gets the next queue item, without executing it + */ + get: operations["get_next_queue_item"]; + }; + "/api/v1/queue/{queue_id}/status": { + /** + * Get Queue Status + * @description Gets the status of the session queue + */ + get: operations["get_queue_status"]; + }; + "/api/v1/queue/{queue_id}/b/{batch_id}/status": { + /** + * Get Batch Status + * @description Gets the status of the session queue + */ + get: operations["get_batch_status"]; + }; + "/api/v1/queue/{queue_id}/i/{item_id}": { + /** + * Get Queue Item + * @description Gets a queue item + */ + get: operations["get_queue_item"]; + }; + "/api/v1/queue/{queue_id}/i/{item_id}/cancel": { + /** + * Cancel Queue Item + * @description Deletes a queue item + */ + put: operations["cancel_queue_item"]; + }; }; export type webhooks = Record; @@ -340,6 +483,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * A * @description The first number @@ -401,7 +550,92 @@ export type components = { * @description An enumeration. * @enum {string} */ - BaseModelType: "sd-1" | "sd-2" | "sdxl" | "sdxl-refiner"; + BaseModelType: "any" | "sd-1" | "sd-2" | "sdxl" | "sdxl-refiner"; + /** Batch */ + Batch: { + /** + * Batch Id + * @description The ID of the batch + */ + batch_id?: string; + /** + * Data + * @description The batch data collection. + */ + data?: components["schemas"]["BatchDatum"][][]; + /** + * Graph + * @description The graph to initialize the session with + */ + graph: components["schemas"]["Graph"]; + /** + * Runs + * @description Int stating how many times to iterate through all possible batch indices + * @default 1 + */ + runs: number; + }; + /** BatchDatum */ + BatchDatum: { + /** + * Node Path + * @description The node into which this batch data collection will be substituted. + */ + node_path: string; + /** + * Field Name + * @description The field into which this batch data collection will be substituted. + */ + field_name: string; + /** + * Items + * @description The list of items to substitute into the node/field. + */ + items?: (string | number)[]; + }; + /** BatchStatus */ + BatchStatus: { + /** + * Queue Id + * @description The ID of the queue + */ + queue_id: string; + /** + * Batch Id + * @description The ID of the batch + */ + batch_id: string; + /** + * Pending + * @description Number of queue items with status 'pending' + */ + pending: number; + /** + * In Progress + * @description Number of queue items with status 'in_progress' + */ + in_progress: number; + /** + * Completed + * @description Number of queue items with status 'complete' + */ + completed: number; + /** + * Failed + * @description Number of queue items with status 'error' + */ + failed: number; + /** + * Canceled + * @description Number of queue items with status 'canceled' + */ + canceled: number; + /** + * Total + * @description Total number of queue items + */ + total: number; + }; /** * Blank Image * @description Creates a blank image and forwards it to the pipeline @@ -423,6 +657,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Width * @description The width of the image @@ -481,6 +721,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Latents A * @description Latents tensor @@ -558,6 +804,17 @@ export type components = { */ image_count: number; }; + /** + * BoardField + * @description A board primitive field + */ + BoardField: { + /** + * Board Id + * @description The id of the board + */ + board_id: string; + }; /** Body_add_image_to_board */ Body_add_image_to_board: { /** @@ -584,6 +841,14 @@ export type components = { */ image_names: string[]; }; + /** Body_cancel_by_batch_ids */ + Body_cancel_by_batch_ids: { + /** + * Batch Ids + * @description The list of batch_ids to cancel all queue items for + */ + batch_ids: string[]; + }; /** Body_delete_images_from_list */ Body_delete_images_from_list: { /** @@ -592,6 +857,34 @@ export type components = { */ image_names: string[]; }; + /** Body_enqueue_batch */ + Body_enqueue_batch: { + /** + * Batch + * @description Batch to process + */ + batch: components["schemas"]["Batch"]; + /** + * Prepend + * @description Whether or not to prepend this batch in the queue + * @default false + */ + prepend?: boolean; + }; + /** Body_enqueue_graph */ + Body_enqueue_graph: { + /** + * Graph + * @description The graph to enqueue + */ + graph: components["schemas"]["Graph"]; + /** + * Prepend + * @description Whether or not to prepend this batch in the queue + * @default false + */ + prepend?: boolean; + }; /** Body_import_model */ Body_import_model: { /** @@ -639,6 +932,26 @@ export type components = { */ merge_dest_directory?: string; }; + /** Body_parse_dynamicprompts */ + Body_parse_dynamicprompts: { + /** + * Prompt + * @description The prompt to parse with dynamicprompts + */ + prompt: string; + /** + * Max Prompts + * @description The max number of prompts to generate + * @default 1000 + */ + max_prompts?: number; + /** + * Combinatorial + * @description Whether to use the combinatorial generator + * @default true + */ + combinatorial?: boolean; + }; /** Body_remove_image_from_board */ Body_remove_image_from_board: { /** @@ -700,6 +1013,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Collection * @description The collection of boolean values @@ -750,6 +1069,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Value * @description The boolean value @@ -780,6 +1105,37 @@ export type components = { */ type: "boolean_output"; }; + /** CLIPVisionModelDiffusersConfig */ + CLIPVisionModelDiffusersConfig: { + /** Model Name */ + model_name: string; + base_model: components["schemas"]["BaseModelType"]; + /** + * Model Type + * @enum {string} + */ + model_type: "clip_vision"; + /** Path */ + path: string; + /** Description */ + description?: string; + /** + * Model Format + * @enum {string} + */ + model_format: "diffusers"; + error?: components["schemas"]["ModelError"]; + }; + /** CLIPVisionModelField */ + CLIPVisionModelField: { + /** + * Model Name + * @description Name of the CLIP Vision image encoder model + */ + model_name: string; + /** @description Base model (usually 'Any') */ + base_model: components["schemas"]["BaseModelType"]; + }; /** * CV2 Infill * @description Infills transparent areas of an image using OpenCV Inpainting @@ -801,6 +1157,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to infill @@ -813,6 +1175,17 @@ export type components = { */ type: "infill_cv2"; }; + /** + * CancelByBatchIDsResult + * @description Result of canceling by list of batch ids + */ + CancelByBatchIDsResult: { + /** + * Canceled + * @description Number of queue items canceled + */ + canceled: number; + }; /** * Canny Processor * @description Canny edge detection for ControlNet @@ -834,6 +1207,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -858,6 +1237,17 @@ export type components = { */ high_threshold?: number; }; + /** + * ClearResult + * @description Result of clearing the session queue + */ + ClearResult: { + /** + * Deleted + * @description Number of queue items deleted + */ + deleted: number; + }; /** ClipField */ ClipField: { /** @@ -902,6 +1292,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * CLIP * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count @@ -958,6 +1354,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Collection Item * @description The item to collect (all inputs must be of the same type) @@ -1033,6 +1435,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to color-correct @@ -1108,6 +1516,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Color * @description The color value @@ -1126,6 +1540,51 @@ export type components = { */ type: "color"; }; + /** + * Color Map Processor + * @description Generates a color map from the provided image + */ + ColorMapImageProcessorInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Workflow + * @description The workflow to save with the image + */ + workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; + /** + * Image + * @description The image to process + */ + image?: components["schemas"]["ImageField"]; + /** + * Type + * @default color_map_image_processor + * @enum {string} + */ + type: "color_map_image_processor"; + /** + * Color Map Tile Size + * @description Tile size + * @default 64 + */ + color_map_tile_size?: number; + }; /** * ColorOutput * @description Base class for nodes that output a single color @@ -1164,6 +1623,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Prompt * @description Prompt to be parsed by Compel to create a conditioning tensor @@ -1203,6 +1668,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Collection * @description The collection of conditioning tensors @@ -1264,6 +1735,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Conditioning * @description Conditioning tensor @@ -1314,6 +1791,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -1422,6 +1905,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The control image @@ -1553,7 +2042,7 @@ export type components = { /** * App Version * @description The version of InvokeAI used to generate this image - * @default 3.1.0 + * @default 3.1.1 */ app_version?: string; /** @@ -1615,7 +2104,7 @@ export type components = { * Clip Skip * @description The number of skipped CLIP layers */ - clip_skip: number; + clip_skip?: number; /** * Model * @description The main model used for inference @@ -1713,6 +2202,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Vae * @description VAE @@ -1747,6 +2242,27 @@ export type components = { */ type: "create_denoise_mask"; }; + /** + * CursorPaginatedResults[SessionQueueItemDTO] + * @description Cursor-paginated results + */ + CursorPaginatedResults_SessionQueueItemDTO_: { + /** + * Limit + * @description Limit of items to get + */ + limit: number; + /** + * Has More + * @description Whether there are more items available + */ + has_more: boolean; + /** + * Items + * @description Items + */ + items: components["schemas"]["SessionQueueItemDTO"][]; + }; /** * OpenCV Inpaint * @description Simple inpaint using opencv. @@ -1768,6 +2284,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to inpaint @@ -1829,6 +2351,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Noise * @description Noise tensor @@ -1865,11 +2393,13 @@ export type components = { * @enum {string} */ scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc"; - /** - * Control - * @description ControlNet(s) to apply - */ + /** Control */ control?: components["schemas"]["ControlField"] | components["schemas"]["ControlField"][]; + /** + * IP-Adapter + * @description IP-Adapter to apply + */ + ip_adapter?: components["schemas"]["IPAdapterField"]; /** * Latents * @description Latents tensor @@ -1956,6 +2486,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * A * @description The first number @@ -1996,6 +2532,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default false + */ + use_cache?: boolean; /** * Prompt * @description The prompt to parse with dynamicprompts @@ -2020,6 +2562,13 @@ export type components = { */ type: "dynamic_prompt"; }; + /** DynamicPromptsResponse */ + DynamicPromptsResponse: { + /** Prompts */ + prompts: string[]; + /** Error */ + error?: string; + }; /** * Upscale (RealESRGAN) * @description Upscales an image using RealESRGAN. @@ -2041,6 +2590,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The input image @@ -2086,6 +2641,62 @@ export type components = { */ field: string; }; + /** EnqueueBatchResult */ + EnqueueBatchResult: { + /** + * Queue Id + * @description The ID of the queue + */ + queue_id: string; + /** + * Enqueued + * @description The total number of queue items enqueued + */ + enqueued: number; + /** + * Requested + * @description The total number of queue items requested to be enqueued + */ + requested: number; + /** + * Batch + * @description The batch that was enqueued + */ + batch: components["schemas"]["Batch"]; + /** + * Priority + * @description The priority of the enqueued batch + */ + priority: number; + }; + /** EnqueueGraphResult */ + EnqueueGraphResult: { + /** + * Enqueued + * @description The total number of queue items enqueued + */ + enqueued: number; + /** + * Requested + * @description The total number of queue items requested to be enqueued + */ + requested: number; + /** + * Batch + * @description The batch that was enqueued + */ + batch: components["schemas"]["Batch"]; + /** + * Priority + * @description The priority of the enqueued batch + */ + priority: number; + /** + * Queue Item + * @description The queue item that was enqueued + */ + queue_item: components["schemas"]["SessionQueueItemDTO"]; + }; /** * Float Collection Primitive * @description A collection of float primitive values @@ -2107,6 +2718,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Collection * @description The collection of float values @@ -2157,6 +2774,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Value * @description The float value @@ -2191,6 +2814,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Start * @description The first value of the range @@ -2216,6 +2845,59 @@ export type components = { */ type: "float_range"; }; + /** + * Float Math + * @description Performs floating point math. + */ + FloatMathInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Workflow + * @description The workflow to save with the image + */ + workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; + /** + * Operation + * @description The operation to perform + * @default ADD + * @enum {string} + */ + operation?: "ADD" | "SUB" | "MUL" | "DIV" | "EXP" | "ABS" | "SQRT" | "MIN" | "MAX"; + /** + * A + * @description The first number + * @default 0 + */ + a?: number; + /** + * B + * @description The second number + * @default 0 + */ + b?: number; + /** + * Type + * @default float_math + * @enum {string} + */ + type: "float_math"; + }; /** * FloatOutput * @description Base class for nodes that output a single float @@ -2233,6 +2915,59 @@ export type components = { */ type: "float_output"; }; + /** + * Float To Integer + * @description Rounds a float number to (a multiple of) an integer. + */ + FloatToIntegerInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Workflow + * @description The workflow to save with the image + */ + workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; + /** + * Value + * @description The value to round + * @default 0 + */ + value?: number; + /** + * Multiple of + * @description The multiple to round to + * @default 1 + */ + multiple?: number; + /** + * Method + * @description The method to use for rounding + * @default Nearest + * @enum {string} + */ + method?: "Nearest" | "Floor" | "Ceiling" | "Truncate"; + /** + * Type + * @default float_to_int + * @enum {string} + */ + type: "float_to_int"; + }; /** Graph */ Graph: { /** @@ -2245,7 +2980,7 @@ export type components = { * @description The nodes in this graph */ nodes?: { - [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]; + [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"]; }; /** * Edges @@ -2288,7 +3023,7 @@ export type components = { * @description The results of node executions */ results: { - [key: string]: components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]; + [key: string]: components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["String2Output"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]; }; /** * Errors @@ -2333,6 +3068,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Graph * @description The graph to run @@ -2385,6 +3126,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -2415,6 +3162,154 @@ export type components = { */ scribble?: boolean; }; + /** IPAdapterField */ + IPAdapterField: { + /** + * Image + * @description The IP-Adapter image prompt. + */ + image: components["schemas"]["ImageField"]; + /** + * Ip Adapter Model + * @description The IP-Adapter model to use. + */ + ip_adapter_model: components["schemas"]["IPAdapterModelField"]; + /** + * Image Encoder Model + * @description The name of the CLIP image encoder model. + */ + image_encoder_model: components["schemas"]["CLIPVisionModelField"]; + /** + * Weight + * @description The weight given to the ControlNet + * @default 1 + */ + weight?: number | number[]; + /** + * Begin Step Percent + * @description When the IP-Adapter is first applied (% of total steps) + * @default 0 + */ + begin_step_percent?: number; + /** + * End Step Percent + * @description When the IP-Adapter is last applied (% of total steps) + * @default 1 + */ + end_step_percent?: number; + }; + /** + * IP-Adapter + * @description Collects IP-Adapter info to pass to other nodes. + */ + IPAdapterInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Workflow + * @description The workflow to save with the image + */ + workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; + /** + * Image + * @description The IP-Adapter image prompt. + */ + image?: components["schemas"]["ImageField"]; + /** + * IP-Adapter Model + * @description The IP-Adapter model. + */ + ip_adapter_model: components["schemas"]["IPAdapterModelField"]; + /** + * Weight + * @description The weight given to the IP-Adapter + * @default 1 + */ + weight?: number | number[]; + /** + * Begin Step Percent + * @description When the IP-Adapter is first applied (% of total steps) + * @default 0 + */ + begin_step_percent?: number; + /** + * End Step Percent + * @description When the IP-Adapter is last applied (% of total steps) + * @default 1 + */ + end_step_percent?: number; + /** + * Type + * @default ip_adapter + * @enum {string} + */ + type: "ip_adapter"; + }; + /** IPAdapterModelField */ + IPAdapterModelField: { + /** + * Model Name + * @description Name of the IP-Adapter model + */ + model_name: string; + /** @description Base model */ + base_model: components["schemas"]["BaseModelType"]; + }; + /** IPAdapterModelInvokeAIConfig */ + IPAdapterModelInvokeAIConfig: { + /** Model Name */ + model_name: string; + base_model: components["schemas"]["BaseModelType"]; + /** + * Model Type + * @enum {string} + */ + model_type: "ip_adapter"; + /** Path */ + path: string; + /** Description */ + description?: string; + /** + * Model Format + * @enum {string} + */ + model_format: "invokeai"; + error?: components["schemas"]["ModelError"]; + }; + /** + * IPAdapterOutput + * @description Base class for all invocation outputs. + * + * All invocation outputs must use the `@invocation_output` decorator to provide their unique type. + */ + IPAdapterOutput: { + /** + * IP-Adapter + * @description IP-Adapter to apply + */ + ip_adapter: components["schemas"]["IPAdapterField"]; + /** + * Type + * @default ip_adapter_output + * @enum {string} + */ + type: "ip_adapter_output"; + }; /** * Blur Image * @description Blurs an image @@ -2436,6 +3331,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to blur @@ -2494,6 +3395,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to get the channel from @@ -2534,6 +3441,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to adjust @@ -2585,6 +3498,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to adjust @@ -2630,6 +3549,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Collection * @description The collection of image values @@ -2680,6 +3605,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to convert @@ -2720,6 +3651,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to crop @@ -2863,6 +3800,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to adjust @@ -2902,6 +3845,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to lerp @@ -2947,6 +3896,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to load @@ -2980,6 +3935,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to lerp @@ -3041,6 +4002,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image1 * @description The first image to multiply @@ -3079,6 +4046,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Metadata * @description Optional core metadata to be written to image @@ -3144,6 +4117,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Base Image * @description The base image @@ -3171,6 +4150,12 @@ export type components = { * @default 0 */ y?: number; + /** + * Crop + * @description Crop to base image dimensions + * @default false + */ + crop?: boolean; /** * Type * @default img_paste @@ -3199,6 +4184,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -3261,6 +4252,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to resize @@ -3318,6 +4315,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to scale @@ -3364,6 +4367,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to encode @@ -3435,6 +4444,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to check @@ -3487,6 +4502,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to infill @@ -3531,6 +4552,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to infill @@ -3577,6 +4604,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to infill @@ -3621,6 +4654,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Collection * @description The collection of integer values @@ -3671,6 +4710,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Value * @description The integer value @@ -3684,6 +4729,59 @@ export type components = { */ type: "integer"; }; + /** + * Integer Math + * @description Performs integer math. + */ + IntegerMathInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Workflow + * @description The workflow to save with the image + */ + workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; + /** + * Operation + * @description The operation to perform + * @default ADD + * @enum {string} + */ + operation?: "ADD" | "SUB" | "MUL" | "DIV" | "EXP" | "MOD" | "ABS" | "MIN" | "MAX"; + /** + * A + * @description The first number + * @default 0 + */ + a?: number; + /** + * B + * @description The second number + * @default 0 + */ + b?: number; + /** + * Type + * @default integer_math + * @enum {string} + */ + type: "integer_math"; + }; /** * IntegerOutput * @description Base class for nodes that output a single integer @@ -3701,6 +4799,34 @@ export type components = { */ type: "integer_output"; }; + /** InvocationCacheStatus */ + InvocationCacheStatus: { + /** + * Size + * @description The current size of the invocation cache + */ + size: number; + /** + * Hits + * @description The number of cache hits + */ + hits: number; + /** + * Misses + * @description The number of cache misses + */ + misses: number; + /** + * Enabled + * @description Whether the invocation cache is enabled + */ + enabled: boolean; + /** + * Max Size + * @description The maximum size of the invocation cache + */ + max_size: number; + }; /** * IterateInvocation * @description Iterates over a list of items @@ -3722,6 +4848,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Collection * @description The list of items to iterate over @@ -3778,6 +4910,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to infill @@ -3811,6 +4949,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Collection * @description The collection of latents tensors @@ -3877,6 +5021,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Latents * @description The latents tensor @@ -3937,6 +5087,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Tiled * @description Processing using overlapping tiles (reduce memory consumption) @@ -3992,6 +5148,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -4055,6 +5217,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -4100,6 +5268,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -4228,6 +5402,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * LoRA * @description LoRA model to load @@ -4314,6 +5494,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Model * @description Main model (UNet, VAE, CLIP) to load @@ -4347,6 +5533,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Mask1 * @description The first mask to combine @@ -4385,6 +5577,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to apply the mask to @@ -4438,6 +5636,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to create the mask from @@ -4477,6 +5681,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -4528,6 +5738,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Generation Mode * @description The generation mode that output this image @@ -4703,6 +5919,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -4748,6 +5970,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -4836,7 +6064,7 @@ export type components = { * @description An enumeration. * @enum {string} */ - ModelType: "onnx" | "main" | "vae" | "lora" | "controlnet" | "embedding"; + ModelType: "onnx" | "main" | "vae" | "lora" | "controlnet" | "embedding" | "ip_adapter" | "clip_vision"; /** * ModelVariantType * @description An enumeration. @@ -4846,7 +6074,7 @@ export type components = { /** ModelsList */ ModelsList: { /** Models */ - models: (components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"])[]; + models: (components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"])[]; }; /** * Multiply Integers @@ -4869,6 +6097,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * A * @description The first number @@ -4888,6 +6122,24 @@ export type components = { */ type: "mul"; }; + /** NodeFieldValue */ + NodeFieldValue: { + /** + * Node Path + * @description The node into which this batch data item will be substituted. + */ + node_path: string; + /** + * Field Name + * @description The field into which this batch data item will be substituted. + */ + field_name: string; + /** + * Value + * @description The value to substitute into the node/field. + */ + value: string | number; + }; /** * Noise * @description Generates latent noise. @@ -4909,6 +6161,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Seed * @description Seed for random number generation @@ -4987,6 +6245,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -5032,6 +6296,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Latents * @description Denoised latents tensor @@ -5110,6 +6380,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Prompt * @description Raw prompt text (no parsing) @@ -5196,6 +6472,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Positive Conditioning * @description Positive conditioning tensor @@ -5342,6 +6624,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Model * @description ONNX Main model (UNet, VAE, CLIP) to load @@ -5375,6 +6663,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -5457,6 +6751,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -5514,6 +6814,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * File Path * @description Path to prompt text file @@ -5548,6 +6854,17 @@ export type components = { */ type: "prompt_from_file"; }; + /** + * PruneResult + * @description Result of pruning the session queue + */ + PruneResult: { + /** + * Deleted + * @description Number of queue items deleted + */ + deleted: number; + }; /** * Random Integer * @description Outputs a single random integer. @@ -5569,6 +6886,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default false + */ + use_cache?: boolean; /** * Low * @description The inclusive low value @@ -5609,6 +6932,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default false + */ + use_cache?: boolean; /** * Low * @description The inclusive low value @@ -5660,6 +6989,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Start * @description The start of the range @@ -5687,7 +7022,7 @@ export type components = { }; /** * Integer Range of Size - * @description Creates a range from start to start + size with step + * @description Creates a range from start to start + (size * step) incremented by step */ RangeOfSizeInvocation: { /** @@ -5706,6 +7041,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Start * @description The start of the range @@ -5760,6 +7101,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Latents * @description Latents tensor @@ -5805,6 +7152,52 @@ export type components = { * @enum {string} */ ResourceOrigin: "internal" | "external"; + /** + * Round Float + * @description Rounds a float to a specified number of decimal places. + */ + RoundInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Workflow + * @description The workflow to save with the image + */ + workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; + /** + * Value + * @description The float value + * @default 0 + */ + value?: number; + /** + * Decimals + * @description The number of decimal places + * @default 0 + */ + decimals?: number; + /** + * Type + * @default round_float + * @enum {string} + */ + type: "round_float"; + }; /** * SDXL Prompt * @description Parse prompt using compel package to conditioning. @@ -5826,6 +7219,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Prompt * @description Prompt to be parsed by Compel to create a conditioning tensor @@ -5906,6 +7305,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * LoRA * @description LoRA model to load @@ -5987,6 +7392,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Model * @description SDXL Main model (UNet, VAE, CLIP1, CLIP2) to load @@ -6052,6 +7463,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Style * @description Prompt to be parsed by Compel to create a conditioning tensor @@ -6117,6 +7534,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Model * @description SDXL Refiner Main Modde (UNet, VAE, CLIP2) to load @@ -6156,6 +7579,55 @@ export type components = { */ type: "sdxl_refiner_model_loader_output"; }; + /** + * Save Image + * @description Saves an image. Unlike an image primitive, this invocation stores a copy of the image. + */ + SaveImageInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Workflow + * @description The workflow to save with the image + */ + workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default false + */ + use_cache?: boolean; + /** + * Image + * @description The image to process + */ + image?: components["schemas"]["ImageField"]; + /** + * Board + * @description The board to save the image to + */ + board?: components["schemas"]["BoardField"]; + /** + * Metadata + * @description Optional core metadata to be written to image + */ + metadata?: components["schemas"]["CoreMetadata"]; + /** + * Type + * @default save_image + * @enum {string} + */ + type: "save_image"; + }; /** * Scale Latents * @description Scales latents by a given factor. @@ -6177,6 +7649,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Latents * @description Latents tensor @@ -6228,6 +7706,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Scheduler * @description Scheduler to use during inference @@ -6289,6 +7773,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * UNet * @description UNet (scheduler, LoRAs) @@ -6361,6 +7851,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -6373,6 +7869,223 @@ export type components = { */ type: "segment_anything_processor"; }; + /** SessionProcessorStatus */ + SessionProcessorStatus: { + /** + * Is Started + * @description Whether the session processor is started + */ + is_started: boolean; + /** + * Is Processing + * @description Whether a session is being processed + */ + is_processing: boolean; + }; + /** + * SessionQueueAndProcessorStatus + * @description The overall status of session queue and processor + */ + SessionQueueAndProcessorStatus: { + queue: components["schemas"]["SessionQueueStatus"]; + processor: components["schemas"]["SessionProcessorStatus"]; + }; + /** + * SessionQueueItem + * @description Session queue item without the full graph. Used for serialization. + */ + SessionQueueItem: { + /** + * Item Id + * @description The identifier of the session queue item + */ + item_id: number; + /** + * Status + * @description The status of this queue item + * @default pending + * @enum {string} + */ + status: "pending" | "in_progress" | "completed" | "failed" | "canceled"; + /** + * Priority + * @description The priority of this queue item + * @default 0 + */ + priority: number; + /** + * Batch Id + * @description The ID of the batch associated with this queue item + */ + batch_id: string; + /** + * Session Id + * @description The ID of the session associated with this queue item. The session doesn't exist in graph_executions until the queue item is executed. + */ + session_id: string; + /** + * Error + * @description The error message if this queue item errored + */ + error?: string; + /** + * Created At + * @description When this queue item was created + */ + created_at: string; + /** + * Updated At + * @description When this queue item was updated + */ + updated_at: string; + /** + * Started At + * @description When this queue item was started + */ + started_at?: string; + /** + * Completed At + * @description When this queue item was completed + */ + completed_at?: string; + /** + * Queue Id + * @description The id of the queue with which this item is associated + */ + queue_id: string; + /** + * Field Values + * @description The field values that were used for this queue item + */ + field_values?: components["schemas"]["NodeFieldValue"][]; + /** + * Session + * @description The fully-populated session to be executed + */ + session: components["schemas"]["GraphExecutionState"]; + }; + /** + * SessionQueueItemDTO + * @description Session queue item without the full graph. Used for serialization. + */ + SessionQueueItemDTO: { + /** + * Item Id + * @description The identifier of the session queue item + */ + item_id: number; + /** + * Status + * @description The status of this queue item + * @default pending + * @enum {string} + */ + status: "pending" | "in_progress" | "completed" | "failed" | "canceled"; + /** + * Priority + * @description The priority of this queue item + * @default 0 + */ + priority: number; + /** + * Batch Id + * @description The ID of the batch associated with this queue item + */ + batch_id: string; + /** + * Session Id + * @description The ID of the session associated with this queue item. The session doesn't exist in graph_executions until the queue item is executed. + */ + session_id: string; + /** + * Error + * @description The error message if this queue item errored + */ + error?: string; + /** + * Created At + * @description When this queue item was created + */ + created_at: string; + /** + * Updated At + * @description When this queue item was updated + */ + updated_at: string; + /** + * Started At + * @description When this queue item was started + */ + started_at?: string; + /** + * Completed At + * @description When this queue item was completed + */ + completed_at?: string; + /** + * Queue Id + * @description The id of the queue with which this item is associated + */ + queue_id: string; + /** + * Field Values + * @description The field values that were used for this queue item + */ + field_values?: components["schemas"]["NodeFieldValue"][]; + }; + /** SessionQueueStatus */ + SessionQueueStatus: { + /** + * Queue Id + * @description The ID of the queue + */ + queue_id: string; + /** + * Item Id + * @description The current queue item id + */ + item_id?: number; + /** + * Batch Id + * @description The current queue item's batch id + */ + batch_id?: string; + /** + * Session Id + * @description The current queue item's session id + */ + session_id?: string; + /** + * Pending + * @description Number of queue items with status 'pending' + */ + pending: number; + /** + * In Progress + * @description Number of queue items with status 'in_progress' + */ + in_progress: number; + /** + * Completed + * @description Number of queue items with status 'complete' + */ + completed: number; + /** + * Failed + * @description Number of queue items with status 'error' + */ + failed: number; + /** + * Canceled + * @description Number of queue items with status 'canceled' + */ + canceled: number; + /** + * Total + * @description Total number of queue items + */ + total: number; + }; /** * Show Image * @description Displays a provided image using the OS image viewer, and passes it forward in the pipeline. @@ -6394,6 +8107,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to show @@ -6577,6 +8296,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Easing * @description The easing function to use @@ -6643,6 +8368,28 @@ export type components = { */ type: "step_param_easing"; }; + /** + * String2Output + * @description Base class for invocations that output two strings + */ + String2Output: { + /** + * String 1 + * @description string 1 + */ + string_1: string; + /** + * String 2 + * @description string 2 + */ + string_2: string; + /** + * Type + * @default string_2_output + * @enum {string} + */ + type: "string_2_output"; + }; /** * String Collection Primitive * @description A collection of string primitive values @@ -6664,6 +8411,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Collection * @description The collection of string values @@ -6714,6 +8467,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Value * @description The string value @@ -6727,6 +8486,104 @@ export type components = { */ type: "string"; }; + /** + * String Join + * @description Joins string left to string right + */ + StringJoinInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Workflow + * @description The workflow to save with the image + */ + workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; + /** + * String Left + * @description String Left + * @default + */ + string_left?: string; + /** + * String Right + * @description String Right + * @default + */ + string_right?: string; + /** + * Type + * @default string_join + * @enum {string} + */ + type: "string_join"; + }; + /** + * String Join Three + * @description Joins string left to string middle to string right + */ + StringJoinThreeInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Workflow + * @description The workflow to save with the image + */ + workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; + /** + * String Left + * @description String Left + * @default + */ + string_left?: string; + /** + * String Middle + * @description String Middle + * @default + */ + string_middle?: string; + /** + * String Right + * @description String Right + * @default + */ + string_right?: string; + /** + * Type + * @default string_join_three + * @enum {string} + */ + type: "string_join_three"; + }; /** * StringOutput * @description Base class for nodes that output a single string @@ -6744,6 +8601,172 @@ export type components = { */ type: "string_output"; }; + /** + * StringPosNegOutput + * @description Base class for invocations that output a positive and negative string + */ + StringPosNegOutput: { + /** + * Positive String + * @description Positive string + */ + positive_string: string; + /** + * Negative String + * @description Negative string + */ + negative_string: string; + /** + * Type + * @default string_pos_neg_output + * @enum {string} + */ + type: "string_pos_neg_output"; + }; + /** + * String Replace + * @description Replaces the search string with the replace string + */ + StringReplaceInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Workflow + * @description The workflow to save with the image + */ + workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; + /** + * String + * @description String to work on + * @default + */ + string?: string; + /** + * Search String + * @description String to search for + * @default + */ + search_string?: string; + /** + * Replace String + * @description String to replace the search + * @default + */ + replace_string?: string; + /** + * Use Regex + * @description Use search string as a regex expression (non regex is case insensitive) + * @default false + */ + use_regex?: boolean; + /** + * Type + * @default string_replace + * @enum {string} + */ + type: "string_replace"; + }; + /** + * String Split + * @description Splits string into two strings, based on the first occurance of the delimiter. The delimiter will be removed from the string + */ + StringSplitInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Workflow + * @description The workflow to save with the image + */ + workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; + /** + * String + * @description String to split + * @default + */ + string?: string; + /** + * Delimiter + * @description Delimiter to spilt with. blank will split on the first whitespace + * @default + */ + delimiter?: string; + /** + * Type + * @default string_split + * @enum {string} + */ + type: "string_split"; + }; + /** + * String Split Negative + * @description Splits string into two strings, inside [] goes into negative string everthing else goes into positive string. Each [ and ] character is replaced with a space + */ + StringSplitNegInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Workflow + * @description The workflow to save with the image + */ + workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; + /** + * String + * @description String to split + * @default + */ + string?: string; + /** + * Type + * @default string_split_neg + * @enum {string} + */ + type: "string_split_neg"; + }; /** * SubModelType * @description An enumeration. @@ -6771,6 +8794,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * A * @description The first number @@ -6829,6 +8858,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -6930,6 +8965,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * VAE * @description VAE model to load @@ -7012,6 +9053,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -7066,7 +9113,7 @@ export type components = { * If a field should be provided a data type that does not exactly match the python type of the field, use this to provide the type that should be used instead. See the node development docs for detail on adding a new field type, which involves client-side changes. * @enum {string} */ - UIType: "boolean" | "ColorField" | "ConditioningField" | "ControlField" | "float" | "ImageField" | "integer" | "LatentsField" | "string" | "BooleanCollection" | "ColorCollection" | "ConditioningCollection" | "ControlCollection" | "FloatCollection" | "ImageCollection" | "IntegerCollection" | "LatentsCollection" | "StringCollection" | "BooleanPolymorphic" | "ColorPolymorphic" | "ConditioningPolymorphic" | "ControlPolymorphic" | "FloatPolymorphic" | "ImagePolymorphic" | "IntegerPolymorphic" | "LatentsPolymorphic" | "StringPolymorphic" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "UNetField" | "VaeField" | "ClipField" | "Collection" | "CollectionItem" | "enum" | "Scheduler" | "WorkflowField" | "IsIntermediate" | "MetadataField"; + UIType: "boolean" | "ColorField" | "ConditioningField" | "ControlField" | "float" | "ImageField" | "integer" | "LatentsField" | "string" | "BooleanCollection" | "ColorCollection" | "ConditioningCollection" | "ControlCollection" | "FloatCollection" | "ImageCollection" | "IntegerCollection" | "LatentsCollection" | "StringCollection" | "BooleanPolymorphic" | "ColorPolymorphic" | "ConditioningPolymorphic" | "ControlPolymorphic" | "FloatPolymorphic" | "ImagePolymorphic" | "IntegerPolymorphic" | "LatentsPolymorphic" | "StringPolymorphic" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "IPAdapterModelField" | "UNetField" | "VaeField" | "ClipField" | "Collection" | "CollectionItem" | "enum" | "Scheduler" | "WorkflowField" | "IsIntermediate" | "MetadataField" | "BoardField"; /** * UIComponent * @description The type of UI component to use for a field, used to override the default components, which are inferred from the field type. @@ -7088,6 +9135,10 @@ export type components = { ui_component?: components["schemas"]["UIComponent"]; /** Ui Order */ ui_order?: number; + /** Ui Choice Labels */ + ui_choice_labels?: { + [key: string]: string; + }; /** Item Default */ item_default?: unknown; }; @@ -7106,29 +9157,41 @@ export type components = { ui_order?: number; }; /** - * StableDiffusionXLModelFormat + * CLIPVisionModelFormat * @description An enumeration. * @enum {string} */ - StableDiffusionXLModelFormat: "checkpoint" | "diffusers"; + CLIPVisionModelFormat: "diffusers"; /** * StableDiffusionOnnxModelFormat * @description An enumeration. * @enum {string} */ StableDiffusionOnnxModelFormat: "olive" | "onnx"; - /** - * ControlNetModelFormat - * @description An enumeration. - * @enum {string} - */ - ControlNetModelFormat: "checkpoint" | "diffusers"; /** * StableDiffusion2ModelFormat * @description An enumeration. * @enum {string} */ StableDiffusion2ModelFormat: "checkpoint" | "diffusers"; + /** + * StableDiffusionXLModelFormat + * @description An enumeration. + * @enum {string} + */ + StableDiffusionXLModelFormat: "checkpoint" | "diffusers"; + /** + * IPAdapterModelFormat + * @description An enumeration. + * @enum {string} + */ + IPAdapterModelFormat: "invokeai"; + /** + * ControlNetModelFormat + * @description An enumeration. + * @enum {string} + */ + ControlNetModelFormat: "checkpoint" | "diffusers"; /** * StableDiffusion1ModelFormat * @description An enumeration. @@ -7151,6 +9214,7 @@ export type operations = { /** * List Sessions + * @deprecated * @description Gets a list of sessions, optionally searching */ list_sessions: { @@ -7181,9 +9245,16 @@ export type operations = { }; /** * Create Session + * @deprecated * @description Creates a new session, optionally initializing it with an invocation graph */ create_session: { + parameters: { + query?: { + /** @description The id of the queue to associate the session with */ + queue_id?: string; + }; + }; requestBody?: { content: { "application/json": components["schemas"]["Graph"]; @@ -7210,6 +9281,7 @@ export type operations = { }; /** * Get Session + * @deprecated * @description Gets a session */ get_session: { @@ -7240,6 +9312,7 @@ export type operations = { }; /** * Add Node + * @deprecated * @description Adds a node to the graph */ add_node: { @@ -7251,7 +9324,7 @@ export type operations = { }; requestBody: { content: { - "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]; + "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"]; }; }; responses: { @@ -7279,6 +9352,7 @@ export type operations = { }; /** * Update Node + * @deprecated * @description Updates a node in the graph and removes all linked edges */ update_node: { @@ -7292,7 +9366,7 @@ export type operations = { }; requestBody: { content: { - "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]; + "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"]; }; }; responses: { @@ -7320,6 +9394,7 @@ export type operations = { }; /** * Delete Node + * @deprecated * @description Deletes a node in the graph and removes all linked edges */ delete_node: { @@ -7356,6 +9431,7 @@ export type operations = { }; /** * Add Edge + * @deprecated * @description Adds an edge to the graph */ add_edge: { @@ -7395,6 +9471,7 @@ export type operations = { }; /** * Delete Edge + * @deprecated * @description Deletes an edge from the graph */ delete_edge: { @@ -7437,11 +9514,14 @@ export type operations = { }; /** * Invoke Session + * @deprecated * @description Invokes a session */ invoke_session: { parameters: { - query?: { + query: { + /** @description The id of the queue to associate the session with */ + queue_id: string; /** @description Whether or not to invoke all remaining invocations */ all?: boolean; }; @@ -7479,6 +9559,7 @@ export type operations = { }; /** * Cancel Session Invoke + * @deprecated * @description Invokes a session */ cancel_session_invoke: { @@ -7507,6 +9588,31 @@ export type operations = { }; }; }; + /** + * Parse Dynamicprompts + * @description Creates a batch process + */ + parse_dynamicprompts: { + requestBody: { + content: { + "application/json": components["schemas"]["Body_parse_dynamicprompts"]; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["DynamicPromptsResponse"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; /** * List Models * @description Gets a list of models @@ -7584,14 +9690,14 @@ export type operations = { }; requestBody: { content: { - "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; + "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; }; }; responses: { /** @description The model was updated successfully */ 200: { content: { - "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; + "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; }; }; /** @description Bad request */ @@ -7628,7 +9734,7 @@ export type operations = { /** @description The model imported successfully */ 201: { content: { - "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; + "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; }; }; /** @description The model could not be found */ @@ -7662,14 +9768,14 @@ export type operations = { add_model: { requestBody: { content: { - "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; + "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; }; }; responses: { /** @description The model added successfully */ 201: { content: { - "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; + "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; }; }; /** @description The model could not be found */ @@ -7715,7 +9821,7 @@ export type operations = { /** @description Model converted successfully */ 200: { content: { - "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; + "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; }; }; /** @description Bad request */ @@ -7810,7 +9916,7 @@ export type operations = { /** @description Model converted successfully */ 200: { content: { - "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; + "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; }; }; /** @description Incompatible models */ @@ -8513,4 +10619,467 @@ export type operations = { }; }; }; + /** + * Clear Invocation Cache + * @description Clears the invocation cache + */ + clear_invocation_cache: { + responses: { + /** @description The operation was successful */ + 200: { + content: { + "application/json": unknown; + }; + }; + }; + }; + /** + * Enable Invocation Cache + * @description Clears the invocation cache + */ + enable_invocation_cache: { + responses: { + /** @description The operation was successful */ + 200: { + content: { + "application/json": unknown; + }; + }; + }; + }; + /** + * Disable Invocation Cache + * @description Clears the invocation cache + */ + disable_invocation_cache: { + responses: { + /** @description The operation was successful */ + 200: { + content: { + "application/json": unknown; + }; + }; + }; + }; + /** + * Get Invocation Cache Status + * @description Clears the invocation cache + */ + get_invocation_cache_status: { + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["InvocationCacheStatus"]; + }; + }; + }; + }; + /** + * Enqueue Graph + * @description Enqueues a graph for single execution. + */ + enqueue_graph: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + requestBody: { + content: { + "application/json": components["schemas"]["Body_enqueue_graph"]; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": unknown; + }; + }; + /** @description Created */ + 201: { + content: { + "application/json": components["schemas"]["EnqueueGraphResult"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Enqueue Batch + * @description Processes a batch and enqueues the output graphs for execution. + */ + enqueue_batch: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + requestBody: { + content: { + "application/json": components["schemas"]["Body_enqueue_batch"]; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": unknown; + }; + }; + /** @description Created */ + 201: { + content: { + "application/json": components["schemas"]["EnqueueBatchResult"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * List Queue Items + * @description Gets all queue items (without graphs) + */ + list_queue_items: { + parameters: { + query?: { + /** @description The number of items to fetch */ + limit?: number; + /** @description The status of items to fetch */ + status?: "pending" | "in_progress" | "completed" | "failed" | "canceled"; + /** @description The pagination cursor */ + cursor?: number; + /** @description The pagination cursor priority */ + priority?: number; + }; + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["CursorPaginatedResults_SessionQueueItemDTO_"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Resume + * @description Resumes session processor + */ + resume: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["SessionProcessorStatus"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Pause + * @description Pauses session processor + */ + pause: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["SessionProcessorStatus"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Cancel By Batch Ids + * @description Immediately cancels all queue items from the given batch ids + */ + cancel_by_batch_ids: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + requestBody: { + content: { + "application/json": components["schemas"]["Body_cancel_by_batch_ids"]; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["CancelByBatchIDsResult"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Clear + * @description Clears the queue entirely, immediately canceling the currently-executing session + */ + clear: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["ClearResult"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Prune + * @description Prunes all completed or errored queue items + */ + prune: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["PruneResult"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Get Current Queue Item + * @description Gets the currently execution queue item + */ + get_current_queue_item: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["SessionQueueItem"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Get Next Queue Item + * @description Gets the next queue item, without executing it + */ + get_next_queue_item: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["SessionQueueItem"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Get Queue Status + * @description Gets the status of the session queue + */ + get_queue_status: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["SessionQueueAndProcessorStatus"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Get Batch Status + * @description Gets the status of the session queue + */ + get_batch_status: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + /** @description The batch to get the status of */ + batch_id: string; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["BatchStatus"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Get Queue Item + * @description Gets a queue item + */ + get_queue_item: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + /** @description The queue item to get */ + item_id: number; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["SessionQueueItem"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Cancel Queue Item + * @description Deletes a queue item + */ + cancel_queue_item: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + /** @description The queue item to cancel */ + item_id: number; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["SessionQueueItem"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; }; diff --git a/invokeai/frontend/web/src/services/api/thunks/schema.ts b/invokeai/frontend/web/src/services/api/thunks/schema.ts index 7dc0bdc331..c209469e02 100644 --- a/invokeai/frontend/web/src/services/api/thunks/schema.ts +++ b/invokeai/frontend/web/src/services/api/thunks/schema.ts @@ -26,7 +26,8 @@ export const receivedOpenAPISchema = createAsyncThunk( 'nodes/receivedOpenAPISchema', async (_, { rejectWithValue }) => { try { - const response = await fetch(`openapi.json`); + const url = [window.location.origin, 'openapi.json'].join('/'); + const response = await fetch(url); const openAPISchema = await response.json(); const schemaJSON = JSON.parse( diff --git a/invokeai/frontend/web/src/services/api/thunks/session.ts b/invokeai/frontend/web/src/services/api/thunks/session.ts index c3016be25f..2404329fac 100644 --- a/invokeai/frontend/web/src/services/api/thunks/session.ts +++ b/invokeai/frontend/web/src/services/api/thunks/session.ts @@ -1,4 +1,5 @@ import { createAsyncThunk, isAnyOf } from '@reduxjs/toolkit'; +import { $queueId } from 'features/queue/store/nanoStores'; import { isObject } from 'lodash-es'; import { $client } from 'services/api/client'; import { paths } from 'services/api/schema'; @@ -33,6 +34,7 @@ export const sessionCreated = createAsyncThunk< const { POST } = $client.get(); const { data, error, response } = await POST('/api/v1/sessions/', { body: graph, + params: { query: { queue_id: $queueId.get() } }, }); if (error) { @@ -76,7 +78,10 @@ export const sessionInvoked = createAsyncThunk< const { error, response } = await PUT( '/api/v1/sessions/{session_id}/invoke', { - params: { query: { all: true }, path: { session_id } }, + params: { + query: { queue_id: $queueId.get(), all: true }, + path: { session_id }, + }, } ); diff --git a/invokeai/frontend/web/src/services/api/types.ts b/invokeai/frontend/web/src/services/api/types.ts index bae60ff701..afa2cd7bd7 100644 --- a/invokeai/frontend/web/src/services/api/types.ts +++ b/invokeai/frontend/web/src/services/api/types.ts @@ -22,6 +22,12 @@ export type UpdateBoardArg = changes: paths['/api/v1/boards/{board_id}']['patch']['requestBody']['content']['application/json']; }; +export type BatchConfig = + paths['/api/v1/queue/{queue_id}/enqueue_batch']['post']['requestBody']['content']['application/json']; + +export type EnqueueBatchResult = components['schemas']['EnqueueBatchResult']; +export type EnqueueGraphResult = components['schemas']['EnqueueGraphResult']; + /** * This is an unsafe type; the object inside is not guaranteed to be valid. */ @@ -60,8 +66,10 @@ export type OnnxModelField = s['OnnxModelField']; export type VAEModelField = s['VAEModelField']; export type LoRAModelField = s['LoRAModelField']; export type ControlNetModelField = s['ControlNetModelField']; +export type IPAdapterModelField = s['IPAdapterModelField']; export type ModelsList = s['ModelsList']; export type ControlField = s['ControlField']; +export type IPAdapterField = s['IPAdapterField']; // Model Configs export type LoRAModelConfig = s['LoRAModelConfig']; @@ -73,6 +81,8 @@ export type ControlNetModelDiffusersConfig = export type ControlNetModelConfig = | ControlNetModelCheckpointConfig | ControlNetModelDiffusersConfig; +export type IPAdapterModelInvokeAIConfig = s['IPAdapterModelInvokeAIConfig']; +export type IPAdapterModelConfig = IPAdapterModelInvokeAIConfig; export type TextualInversionModelConfig = s['TextualInversionModelConfig']; export type DiffusersModelConfig = | s['StableDiffusion1ModelDiffusersConfig'] @@ -88,6 +98,7 @@ export type AnyModelConfig = | LoRAModelConfig | VaeModelConfig | ControlNetModelConfig + | IPAdapterModelConfig | TextualInversionModelConfig | MainModelConfig | OnnxModelConfig; @@ -99,6 +110,9 @@ export type ImportModelConfig = s['Body_import_model']; export type Graph = s['Graph']; export type Edge = s['Edge']; export type GraphExecutionState = s['GraphExecutionState']; +export type Batch = s['Batch']; +export type SessionQueueItemDTO = s['SessionQueueItemDTO']; +export type SessionQueueItem = s['SessionQueueItem']; // General nodes export type CollectInvocation = s['CollectInvocation']; @@ -132,10 +146,14 @@ export type DivideInvocation = s['DivideInvocation']; export type ImageNSFWBlurInvocation = s['ImageNSFWBlurInvocation']; export type ImageWatermarkInvocation = s['ImageWatermarkInvocation']; export type SeamlessModeInvocation = s['SeamlessModeInvocation']; +export type SaveImageInvocation = s['SaveImageInvocation']; // ControlNet Nodes export type ControlNetInvocation = s['ControlNetInvocation']; +export type IPAdapterInvocation = s['IPAdapterInvocation']; export type CannyImageProcessorInvocation = s['CannyImageProcessorInvocation']; +export type ColorMapImageProcessorInvocation = + s['ColorMapImageProcessorInvocation']; export type ContentShuffleImageProcessorInvocation = s['ContentShuffleImageProcessorInvocation']; export type HedImageProcessorInvocation = s['HedImageProcessorInvocation']; @@ -173,6 +191,10 @@ export type ControlNetAction = { controlNetId: string; }; +export type IPAdapterAction = { + type: 'SET_IP_ADAPTER_IMAGE'; +}; + export type InitialImageAction = { type: 'SET_INITIAL_IMAGE'; }; @@ -198,6 +220,7 @@ export type AddToBatchAction = { export type PostUploadAction = | ControlNetAction + | IPAdapterAction | InitialImageAction | NodesAction | CanvasInitialImageAction diff --git a/invokeai/frontend/web/src/services/events/actions.ts b/invokeai/frontend/web/src/services/events/actions.ts index 35ebb725cb..d9f838bf70 100644 --- a/invokeai/frontend/web/src/services/events/actions.ts +++ b/invokeai/frontend/web/src/services/events/actions.ts @@ -8,6 +8,7 @@ import { InvocationStartedEvent, ModelLoadCompletedEvent, ModelLoadStartedEvent, + QueueItemStatusChangedEvent, SessionRetrievalErrorEvent, } from 'services/events/types'; @@ -41,35 +42,35 @@ export const appSocketDisconnected = createAction( ); /** - * Socket.IO Subscribed + * Socket.IO Subscribed Session * * Do not use. Only for use in middleware. */ -export const socketSubscribed = createAction<{ +export const socketSubscribedSession = createAction<{ sessionId: string; -}>('socket/socketSubscribed'); +}>('socket/socketSubscribedSession'); /** - * App-level Socket.IO Subscribed + * App-level Socket.IO Subscribed Session */ -export const appSocketSubscribed = createAction<{ +export const appSocketSubscribedSession = createAction<{ sessionId: string; -}>('socket/appSocketSubscribed'); +}>('socket/appSocketSubscribedSession'); /** - * Socket.IO Unsubscribed + * Socket.IO Unsubscribed Session * * Do not use. Only for use in middleware. */ -export const socketUnsubscribed = createAction<{ sessionId: string }>( - 'socket/socketUnsubscribed' +export const socketUnsubscribedSession = createAction<{ sessionId: string }>( + 'socket/socketUnsubscribedSession' ); /** - * App-level Socket.IO Unsubscribed + * App-level Socket.IO Unsubscribed Session */ -export const appSocketUnsubscribed = createAction<{ sessionId: string }>( - 'socket/appSocketUnsubscribed' +export const appSocketUnsubscribedSession = createAction<{ sessionId: string }>( + 'socket/appSocketUnsubscribedSession' ); /** @@ -215,3 +216,19 @@ export const socketInvocationRetrievalError = createAction<{ export const appSocketInvocationRetrievalError = createAction<{ data: InvocationRetrievalErrorEvent; }>('socket/appSocketInvocationRetrievalError'); + +/** + * Socket.IO Quueue Item Status Changed + * + * Do not use. Only for use in middleware. + */ +export const socketQueueItemStatusChanged = createAction<{ + data: QueueItemStatusChangedEvent; +}>('socket/socketQueueItemStatusChanged'); + +/** + * App-level Quueue Item Status Changed + */ +export const appSocketQueueItemStatusChanged = createAction<{ + data: QueueItemStatusChangedEvent; +}>('socket/appSocketQueueItemStatusChanged'); diff --git a/invokeai/frontend/web/src/services/events/middleware.ts b/invokeai/frontend/web/src/services/events/middleware.ts index 56992be672..ce35cf141e 100644 --- a/invokeai/frontend/web/src/services/events/middleware.ts +++ b/invokeai/frontend/web/src/services/events/middleware.ts @@ -1,14 +1,12 @@ import { Middleware, MiddlewareAPI } from '@reduxjs/toolkit'; import { AppThunkDispatch, RootState } from 'app/store/store'; import { $authToken, $baseUrl } from 'services/api/client'; -import { sessionCreated } from 'services/api/thunks/session'; import { ClientToServerEvents, ServerToClientEvents, } from 'services/events/types'; import { setEventListeners } from 'services/events/util/setEventListeners'; import { Socket, io } from 'socket.io-client'; -import { socketSubscribed, socketUnsubscribed } from './actions'; export const socketMiddleware = () => { let areListenersSet = false; @@ -48,8 +46,6 @@ export const socketMiddleware = () => { (storeApi: MiddlewareAPI) => (next) => (action) => { - const { dispatch, getState } = storeApi; - // Set listeners for `connect` and `disconnect` events once // Must happen in middleware to get access to `dispatch` if (!areListenersSet) { @@ -60,31 +56,6 @@ export const socketMiddleware = () => { socket.connect(); } - if (sessionCreated.fulfilled.match(action)) { - const sessionId = action.payload.id; - const oldSessionId = getState().system.sessionId; - - if (oldSessionId) { - socket.emit('unsubscribe', { - session: oldSessionId, - }); - - dispatch( - socketUnsubscribed({ - sessionId: oldSessionId, - }) - ); - } - - socket.emit('subscribe', { session: sessionId }); - - dispatch( - socketSubscribed({ - sessionId: sessionId, - }) - ); - } - next(action); }; diff --git a/invokeai/frontend/web/src/services/events/types.ts b/invokeai/frontend/web/src/services/events/types.ts index 37f5f24eac..47a3d83eba 100644 --- a/invokeai/frontend/web/src/services/events/types.ts +++ b/invokeai/frontend/web/src/services/events/types.ts @@ -1,3 +1,4 @@ +import { components } from 'services/api/schema'; import { O } from 'ts-toolbelt'; import { BaseModelType, @@ -32,6 +33,9 @@ export type BaseNode = { }; export type ModelLoadStartedEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; graph_execution_state_id: string; model_name: string; base_model: BaseModelType; @@ -40,6 +44,9 @@ export type ModelLoadStartedEvent = { }; export type ModelLoadCompletedEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; graph_execution_state_id: string; model_name: string; base_model: BaseModelType; @@ -56,11 +63,15 @@ export type ModelLoadCompletedEvent = { * @example socket.on('generator_progress', (data: GeneratorProgressEvent) => { ... } */ export type GeneratorProgressEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; graph_execution_state_id: string; - node: BaseNode; + node_id: string; source_node_id: string; progress_image?: ProgressImage; step: number; + order: number; total_steps: number; }; @@ -72,6 +83,9 @@ export type GeneratorProgressEvent = { * @example socket.on('invocation_complete', (data: InvocationCompleteEvent) => { ... } */ export type InvocationCompleteEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; graph_execution_state_id: string; node: BaseNode; source_node_id: string; @@ -84,6 +98,9 @@ export type InvocationCompleteEvent = { * @example socket.on('invocation_error', (data: InvocationErrorEvent) => { ... } */ export type InvocationErrorEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; graph_execution_state_id: string; node: BaseNode; source_node_id: string; @@ -97,6 +114,9 @@ export type InvocationErrorEvent = { * @example socket.on('invocation_started', (data: InvocationStartedEvent) => { ... } */ export type InvocationStartedEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; graph_execution_state_id: string; node: BaseNode; source_node_id: string; @@ -108,6 +128,9 @@ export type InvocationStartedEvent = { * @example socket.on('graph_execution_state_complete', (data: GraphExecutionStateCompleteEvent) => { ... } */ export type GraphExecutionStateCompleteEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; graph_execution_state_id: string; }; @@ -117,6 +140,9 @@ export type GraphExecutionStateCompleteEvent = { * @example socket.on('session_retrieval_error', (data: SessionRetrievalErrorEvent) => { ... } */ export type SessionRetrievalErrorEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; graph_execution_state_id: string; error_type: string; error: string; @@ -128,18 +154,40 @@ export type SessionRetrievalErrorEvent = { * @example socket.on('invocation_retrieval_error', (data: InvocationRetrievalErrorEvent) => { ... } */ export type InvocationRetrievalErrorEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; graph_execution_state_id: string; node_id: string; error_type: string; error: string; }; -export type ClientEmitSubscribe = { - session: string; +/** + * A `queue_item_status_changed` socket.io event. + * + * @example socket.on('queue_item_status_changed', (data: QueueItemStatusChangedEvent) => { ... } + */ +export type QueueItemStatusChangedEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; + session_id: string; + graph_execution_state_id: string; + status: components['schemas']['SessionQueueItemDTO']['status']; + error: string | undefined; + created_at: string; + updated_at: string; + started_at: string | undefined; + completed_at: string | undefined; }; -export type ClientEmitUnsubscribe = { - session: string; +export type ClientEmitSubscribeQueue = { + queue_id: string; +}; + +export type ClientEmitUnsubscribeQueue = { + queue_id: string; }; export type ServerToClientEvents = { @@ -154,11 +202,12 @@ export type ServerToClientEvents = { model_load_completed: (payload: ModelLoadCompletedEvent) => void; session_retrieval_error: (payload: SessionRetrievalErrorEvent) => void; invocation_retrieval_error: (payload: InvocationRetrievalErrorEvent) => void; + queue_item_status_changed: (payload: QueueItemStatusChangedEvent) => void; }; export type ClientToServerEvents = { connect: () => void; disconnect: () => void; - subscribe: (payload: ClientEmitSubscribe) => void; - unsubscribe: (payload: ClientEmitUnsubscribe) => void; + subscribe_queue: (payload: ClientEmitSubscribeQueue) => void; + unsubscribe_queue: (payload: ClientEmitUnsubscribeQueue) => void; }; diff --git a/invokeai/frontend/web/src/services/events/util/setEventListeners.ts b/invokeai/frontend/web/src/services/events/util/setEventListeners.ts index 9ebb7ffbff..0f4d21d2e1 100644 --- a/invokeai/frontend/web/src/services/events/util/setEventListeners.ts +++ b/invokeai/frontend/web/src/services/events/util/setEventListeners.ts @@ -1,6 +1,7 @@ import { MiddlewareAPI } from '@reduxjs/toolkit'; import { logger } from 'app/logging/logger'; import { AppDispatch, RootState } from 'app/store/store'; +import { $queueId } from 'features/queue/store/nanoStores'; import { addToast } from 'features/system/store/systemSlice'; import { makeToast } from 'features/system/util/makeToast'; import { Socket } from 'socket.io-client'; @@ -15,8 +16,8 @@ import { socketInvocationStarted, socketModelLoadCompleted, socketModelLoadStarted, + socketQueueItemStatusChanged, socketSessionRetrievalError, - socketSubscribed, } from '../actions'; import { ClientToServerEvents, ServerToClientEvents } from '../types'; @@ -27,7 +28,7 @@ type SetEventListenersArg = { export const setEventListeners = (arg: SetEventListenersArg) => { const { socket, storeApi } = arg; - const { dispatch, getState } = storeApi; + const { dispatch } = storeApi; /** * Connect @@ -37,17 +38,8 @@ export const setEventListeners = (arg: SetEventListenersArg) => { log.debug('Connected'); dispatch(socketConnected()); - - const { sessionId } = getState().system; - - if (sessionId) { - socket.emit('subscribe', { session: sessionId }); - dispatch( - socketSubscribed({ - sessionId, - }) - ); - } + const queue_id = $queueId.get(); + socket.emit('subscribe_queue', { queue_id }); }); socket.on('connect_error', (error) => { @@ -162,4 +154,8 @@ export const setEventListeners = (arg: SetEventListenersArg) => { }) ); }); + + socket.on('queue_item_status_changed', (data) => { + dispatch(socketQueueItemStatusChanged({ data })); + }); }; diff --git a/invokeai/frontend/web/src/theme/colors/colors.ts b/invokeai/frontend/web/src/theme/colors/colors.ts index 99260ee071..6f1f1c2cc7 100644 --- a/invokeai/frontend/web/src/theme/colors/colors.ts +++ b/invokeai/frontend/web/src/theme/colors/colors.ts @@ -3,15 +3,11 @@ import { generateColorPalette } from 'theme/util/generateColorPalette'; const BASE = { H: 220, S: 16 }; const ACCENT = { H: 250, S: 42 }; -// const ACCENT = { H: 250, S: 52 }; const WORKING = { H: 47, S: 42 }; -// const WORKING = { H: 47, S: 50 }; +const GOLD = { H: 40, S: 70 }; const WARNING = { H: 28, S: 42 }; -// const WARNING = { H: 28, S: 50 }; const OK = { H: 113, S: 42 }; -// const OK = { H: 113, S: 50 }; const ERROR = { H: 0, S: 42 }; -// const ERROR = { H: 0, S: 50 }; export const InvokeAIColors: InvokeAIThemeColors = { base: generateColorPalette(BASE.H, BASE.S), @@ -20,6 +16,8 @@ export const InvokeAIColors: InvokeAIThemeColors = { accentAlpha: generateColorPalette(ACCENT.H, ACCENT.S, true), working: generateColorPalette(WORKING.H, WORKING.S), workingAlpha: generateColorPalette(WORKING.H, WORKING.S, true), + gold: generateColorPalette(GOLD.H, GOLD.S), + goldAlpha: generateColorPalette(GOLD.H, GOLD.S, true), warning: generateColorPalette(WARNING.H, WARNING.S), warningAlpha: generateColorPalette(WARNING.H, WARNING.S, true), ok: generateColorPalette(OK.H, OK.S), diff --git a/invokeai/frontend/web/src/theme/components/button.ts b/invokeai/frontend/web/src/theme/components/button.ts index 056f3c145d..fc6cde9cd0 100644 --- a/invokeai/frontend/web/src/theme/components/button.ts +++ b/invokeai/frontend/web/src/theme/components/button.ts @@ -10,7 +10,7 @@ const invokeAI = defineStyle((props) => { bg: mode('base.150', 'base.700')(props), color: mode('base.300', 'base.500')(props), svg: { - fill: mode('base.500', 'base.500')(props), + fill: mode('base.300', 'base.500')(props), }, opacity: 1, }; @@ -45,25 +45,14 @@ const invokeAI = defineStyle((props) => { } const _disabled = { - bg: mode(`${c}.250`, `${c}.700`)(props), - color: mode(`${c}.50`, `${c}.500`)(props), + bg: mode(`${c}.400`, `${c}.700`)(props), + color: mode(`${c}.600`, `${c}.500`)(props), svg: { - fill: mode(`${c}.50`, `${c}.500`)(props), - filter: 'unset', - }, - opacity: 1, - filter: mode(undefined, 'saturate(65%)')(props), - }; - - const data_progress = { - // bg: 'none', - color: mode(`${c}.50`, `${c}.500`)(props), - svg: { - fill: mode(`${c}.50`, `${c}.500`)(props), + fill: mode(`${c}.600`, `${c}.500`)(props), filter: 'unset', }, opacity: 0.7, - filter: mode(undefined, 'saturate(65%)')(props), + filter: 'saturate(65%)', }; return { @@ -82,7 +71,6 @@ const invokeAI = defineStyle((props) => { }, _disabled, }, - '&[data-progress="true"]': { ...data_progress, _hover: data_progress }, }; }); @@ -92,6 +80,13 @@ const invokeAIOutline = defineStyle((props) => { return { border: '1px solid', borderColor: c === 'gray' ? borderColor : 'currentColor', + _hover: { + bg: mode(`${c}.500`, `${c}.500`)(props), + color: mode('white', `base.50`)(props), + svg: { + fill: mode('white', `base.50`)(props), + }, + }, '.chakra-button__group[data-attached][data-orientation=horizontal] > &:not(:last-of-type)': { marginEnd: '-1px', diff --git a/invokeai/frontend/web/src/theme/components/popover.ts b/invokeai/frontend/web/src/theme/components/popover.ts index a28e2bfbc4..db46f79084 100644 --- a/invokeai/frontend/web/src/theme/components/popover.ts +++ b/invokeai/frontend/web/src/theme/components/popover.ts @@ -29,13 +29,35 @@ const invokeAIContent = defineStyle((props) => { }; }); +const informationalContent = defineStyle((props) => { + return { + [$arrowBg.variable]: mode('colors.base.100', 'colors.base.700')(props), + [$popperBg.variable]: mode('colors.base.100', 'colors.base.700')(props), + [$arrowShadowColor.variable]: mode( + 'colors.base.400', + 'colors.base.400' + )(props), + p: 4, + bg: mode('base.100', 'base.700')(props), + border: 'none', + shadow: 'dark-lg', + }; +}); + const invokeAI = definePartsStyle((props) => ({ content: invokeAIContent(props), + body: { padding: 0 }, +})); + +const informational = definePartsStyle((props) => ({ + content: informationalContent(props), + body: { padding: 0 }, })); export const popoverTheme = defineMultiStyleConfig({ variants: { invokeAI, + informational, }, defaultProps: { variant: 'invokeAI', diff --git a/invokeai/frontend/web/src/theme/components/table.ts b/invokeai/frontend/web/src/theme/components/table.ts new file mode 100644 index 0000000000..e69de29bb2 diff --git a/invokeai/frontend/web/src/theme/theme.ts b/invokeai/frontend/web/src/theme/theme.ts index c2376a5777..3b83ea2393 100644 --- a/invokeai/frontend/web/src/theme/theme.ts +++ b/invokeai/frontend/web/src/theme/theme.ts @@ -76,6 +76,7 @@ export const theme: ThemeOverride = { direction: 'ltr', fonts: { body: `'Inter Variable', sans-serif`, + heading: `'Inter Variable', sans-serif`, }, shadows: { light: { diff --git a/invokeai/frontend/web/src/theme/themeTypes.d.ts b/invokeai/frontend/web/src/theme/themeTypes.d.ts index c85ebd33ce..f2fd1ea85d 100644 --- a/invokeai/frontend/web/src/theme/themeTypes.d.ts +++ b/invokeai/frontend/web/src/theme/themeTypes.d.ts @@ -3,6 +3,8 @@ export type InvokeAIThemeColors = { baseAlpha: Partial; accent: Partial; accentAlpha: Partial; + gold: Partial; + goldAlpha: Partial; working: Partial; workingAlpha: Partial; warning: Partial; diff --git a/invokeai/version/invokeai_version.py b/invokeai/version/invokeai_version.py index f5f41e567e..d539d50ceb 100644 --- a/invokeai/version/invokeai_version.py +++ b/invokeai/version/invokeai_version.py @@ -1 +1 @@ -__version__ = "3.1.0" +__version__ = "3.1.1" diff --git a/mkdocs.yml b/mkdocs.yml index 2888f2e6ba..f4e0688878 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -1,7 +1,7 @@ # yaml-language-server: $schema=https://squidfunk.github.io/mkdocs-material/schema.json # General -site_name: InvokeAI Stable Diffusion Toolkit Docs +site_name: InvokeAI Documentation site_url: https://invoke-ai.github.io/InvokeAI site_author: mauwii dev_addr: '127.0.0.1:8080' @@ -148,7 +148,7 @@ nav: - NSFW Checker: 'features/WATERMARK+NSFW.md' - Postprocessing: 'features/POSTPROCESS.md' - Prompting Features: 'features/PROMPTS.md' - - Training: 'features/TRAINING.md' + - Textual Inversion Training: 'features/TRAINING.md' - Unified Canvas: 'features/UNIFIED_CANVAS.md' - InvokeAI Web Server: 'features/WEB.md' - WebUI Hotkeys: "features/WEBUIHOTKEYS.md" @@ -157,8 +157,9 @@ nav: - How to Contribute: 'contributing/CONTRIBUTING.md' - Development: - Overview: 'contributing/contribution_guides/development.md' + - New Contributors: 'contributing/contribution_guides/newContributorChecklist.md' - InvokeAI Architecture: 'contributing/ARCHITECTURE.md' - - Frontend Documentation: 'contributing/contribution_guides/development_guides/contributingToFrontend.md' + - Frontend Documentation: 'contributing/contribution_guides/contributingToFrontend.md' - Local Development: 'contributing/LOCAL_DEVELOPMENT.md' - Documentation: 'contributing/contribution_guides/documentation.md' - Nodes: 'contributing/INVOCATIONS.md' diff --git a/pyproject.toml b/pyproject.toml index 4b06944b33..21cda5eebd 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -32,7 +32,7 @@ classifiers = [ 'Topic :: Scientific/Engineering :: Image Processing', ] dependencies = [ - "accelerate~=0.21.0", + "accelerate~=0.23.0", "albumentations", "click", "clip_anytorch", # replacing "clip @ https://github.com/openai/CLIP/archive/eaa22acb90a5876642d0507623e859909230a52d.zip", @@ -40,7 +40,7 @@ dependencies = [ "controlnet-aux>=0.0.6", "timm==0.6.13", # needed to override timm latest in controlnet_aux, see https://github.com/isl-org/ZoeDepth/issues/26 "datasets", - "diffusers[torch]~=0.20.0", + "diffusers[torch]~=0.21.0", "dnspython~=2.4.0", "dynamicprompts", "easing-functions", @@ -48,7 +48,6 @@ dependencies = [ "facexlib", "fastapi==0.88.0", "fastapi-events==0.8.0", - "fastapi-socketio==0.0.10", "huggingface-hub~=0.16.4", "invisible-watermark~=0.2.0", # needed to install SDXL base and refiner using their repo_ids "matplotlib", # needed for plotting of Penner easing functions @@ -68,11 +67,12 @@ dependencies = [ 'pyperclip', "pyreadline3", "python-multipart", + "python-socketio", "pytorch-lightning", "realesrgan", "requests~=2.28.2", "rich~=13.3", - "safetensors==0.3.1", + "safetensors~=0.3.1", "scikit-image~=0.21.0", "semver~=3.0.1", "send2trash", @@ -101,6 +101,8 @@ dependencies = [ "black", "flake8", "Flake8-pyproject", + "isort", + "pre-commit", "pytest>6.0.0", "pytest-cov", "pytest-datadir", @@ -140,10 +142,11 @@ dependencies = [ "invokeai-model-install" = "invokeai.frontend.install.model_install:main" "invokeai-migrate3" = "invokeai.backend.install.migrate_to_3:main" "invokeai-update" = "invokeai.frontend.install.invokeai_update:main" -"invokeai-metadata" = "invokeai.frontend.CLI.sd_metadata:print_metadata" +"invokeai-metadata" = "invokeai.backend.image_util.invoke_metadata:main" "invokeai-node-cli" = "invokeai.app.cli_app:invoke_cli" "invokeai-node-web" = "invokeai.app.api_app:invoke_api" "invokeai-import-images" = "invokeai.frontend.install.import_images:main" +"invokeai-db-maintenance" = "invokeai.backend.util.db_maintenance:main" [project.urls] "Homepage" = "https://invoke-ai.github.io/InvokeAI/" @@ -196,6 +199,17 @@ output = "coverage/index.xml" max-line-length = 120 ignore = ["E203", "E266", "E501", "W503"] select = ["B", "C", "E", "F", "W", "T4"] +exclude = [ + ".git", + "__pycache__", + "build", + "dist", + "invokeai/frontend/web/node_modules/" +] [tool.black] line-length = 120 + +[tool.isort] +profile = "black" +line_length = 120 diff --git a/scripts/configure_invokeai.py b/scripts/configure_invokeai.py index b40194c6ce..98e5044511 100755 --- a/scripts/configure_invokeai.py +++ b/scripts/configure_invokeai.py @@ -2,6 +2,7 @@ # Copyright (c) 2022 Lincoln D. Stein (https://github.com/lstein) import warnings + from invokeai.frontend.install.invokeai_configure import invokeai_configure as configure if __name__ == "__main__": diff --git a/scripts/images2prompt.py b/scripts/images2prompt.py index fdfe52774b..b12ff562fa 100755 --- a/scripts/images2prompt.py +++ b/scripts/images2prompt.py @@ -2,6 +2,7 @@ """This script reads the "Invoke" Stable Diffusion prompt embedded in files generated by invoke.py""" import sys + from PIL import Image if len(sys.argv) < 2: diff --git a/scripts/invokeai-cli.py b/scripts/invokeai-cli.py index 58aca1b5f3..73c0f6e7c3 100755 --- a/scripts/invokeai-cli.py +++ b/scripts/invokeai-cli.py @@ -2,8 +2,8 @@ # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) -import os import logging +import os logging.getLogger("xformers").addFilter(lambda record: "A matching Triton is not available" not in record.getMessage()) diff --git a/scripts/invokeai-web.py b/scripts/invokeai-web.py index ebdf7cfa81..09475cc9e5 100755 --- a/scripts/invokeai-web.py +++ b/scripts/invokeai-web.py @@ -2,8 +2,8 @@ # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) -import os import logging +import os logging.getLogger("xformers").addFilter(lambda record: "A matching Triton is not available" not in record.getMessage()) diff --git a/scripts/make_models_markdown_table.py b/scripts/make_models_markdown_table.py index 8e7c528a46..0af5085ff5 100755 --- a/scripts/make_models_markdown_table.py +++ b/scripts/make_models_markdown_table.py @@ -5,9 +5,10 @@ This script is used at release time to generate a markdown table describing the starter models. This text is then manually copied into 050_INSTALL_MODELS.md. """ -from omegaconf import OmegaConf from pathlib import Path +from omegaconf import OmegaConf + def main(): initial_models_file = Path(__file__).parent / "../invokeai/configs/INITIAL_MODELS.yaml" diff --git a/scripts/probe-model.py b/scripts/probe-model.py index 9b4ee6e815..05741de806 100755 --- a/scripts/probe-model.py +++ b/scripts/probe-model.py @@ -2,6 +2,7 @@ import argparse from pathlib import Path + from invokeai.backend.model_management.model_probe import ModelProbe parser = argparse.ArgumentParser(description="Probe model type") diff --git a/scripts/scan_models_directory.py b/scripts/scan_models_directory.py index de7278f5b7..0038023c06 100755 --- a/scripts/scan_models_directory.py +++ b/scripts/scan_models_directory.py @@ -4,11 +4,11 @@ Scan the models directory and print out a new models.yaml """ +import argparse import os import sys -import argparse - from pathlib import Path + from omegaconf import OmegaConf diff --git a/scripts/sd-metadata.py b/scripts/sd-metadata.py index 1a27e73d95..b3ce4fd66e 100755 --- a/scripts/sd-metadata.py +++ b/scripts/sd-metadata.py @@ -1,7 +1,8 @@ #!/usr/bin/env python -import sys import json +import sys + from invokeai.backend.image_util import retrieve_metadata if len(sys.argv) < 2: diff --git a/tests/nodes/test_graph_execution_state.py b/tests/nodes/test_graph_execution_state.py index cdb9815f83..e43075bd32 100644 --- a/tests/nodes/test_graph_execution_state.py +++ b/tests/nodes/test_graph_execution_state.py @@ -1,30 +1,31 @@ -from .test_invoker import create_edge -from .test_nodes import ( +import logging +import threading + +import pytest + +# This import must happen before other invoke imports or test in other files(!!) break +from .test_nodes import ( # isort: split + PromptCollectionTestInvocation, + PromptTestInvocation, TestEventService, TextToImageTestInvocation, - PromptTestInvocation, - PromptCollectionTestInvocation, -) -from invokeai.app.services.invocation_queue import MemoryInvocationQueue -from invokeai.app.services.processor import DefaultInvocationProcessor -from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory -from invokeai.app.invocations.baseinvocation import ( - BaseInvocation, - BaseInvocationOutput, - InvocationContext, ) +import sqlite3 + +from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationContext from invokeai.app.invocations.collections import RangeInvocation from invokeai.app.invocations.math import AddInvocation, MultiplyInvocation +from invokeai.app.services.config.invokeai_config import InvokeAIAppConfig +from invokeai.app.services.graph import CollectInvocation, Graph, GraphExecutionState, IterateInvocation, LibraryGraph +from invokeai.app.services.invocation_cache.invocation_cache_memory import MemoryInvocationCache +from invokeai.app.services.invocation_queue import MemoryInvocationQueue from invokeai.app.services.invocation_services import InvocationServices from invokeai.app.services.invocation_stats import InvocationStatsService -from invokeai.app.services.graph import ( - Graph, - CollectInvocation, - IterateInvocation, - GraphExecutionState, - LibraryGraph, -) -import pytest +from invokeai.app.services.processor import DefaultInvocationProcessor +from invokeai.app.services.session_queue.session_queue_common import DEFAULT_QUEUE_ID +from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory + +from .test_invoker import create_edge @pytest.fixture @@ -41,24 +42,29 @@ def simple_graph(): # the test invocations. @pytest.fixture def mock_services() -> InvocationServices: + lock = threading.Lock() # NOTE: none of these are actually called by the test invocations + db_conn = sqlite3.connect(sqlite_memory, check_same_thread=False) graph_execution_manager = SqliteItemStorage[GraphExecutionState]( - filename=sqlite_memory, table_name="graph_executions" + conn=db_conn, table_name="graph_executions", lock=lock ) return InvocationServices( model_manager=None, # type: ignore events=TestEventService(), - logger=None, # type: ignore + logger=logging, # type: ignore images=None, # type: ignore latents=None, # type: ignore boards=None, # type: ignore board_images=None, # type: ignore queue=MemoryInvocationQueue(), - graph_library=SqliteItemStorage[LibraryGraph](filename=sqlite_memory, table_name="graphs"), + graph_library=SqliteItemStorage[LibraryGraph](conn=db_conn, table_name="graphs", lock=lock), graph_execution_manager=graph_execution_manager, performance_statistics=InvocationStatsService(graph_execution_manager), processor=DefaultInvocationProcessor(), - configuration=None, # type: ignore + configuration=InvokeAIAppConfig(node_cache_size=0), # type: ignore + session_queue=None, # type: ignore + session_processor=None, # type: ignore + invocation_cache=MemoryInvocationCache(), # type: ignore ) @@ -68,7 +74,15 @@ def invoke_next(g: GraphExecutionState, services: InvocationServices) -> tuple[B return (None, None) print(f"invoking {n.id}: {type(n)}") - o = n.invoke(InvocationContext(services, "1")) + o = n.invoke( + InvocationContext( + queue_batch_id="1", + queue_item_id=1, + queue_id=DEFAULT_QUEUE_ID, + services=services, + graph_execution_state_id="1", + ) + ) g.complete(n.id, o) return (n, o) diff --git a/tests/nodes/test_invoker.py b/tests/nodes/test_invoker.py index 5985c7e8bb..7c636c3eca 100644 --- a/tests/nodes/test_invoker.py +++ b/tests/nodes/test_invoker.py @@ -1,23 +1,30 @@ -from .test_nodes import ( - TestEventService, +import logging +import sqlite3 +import threading + +import pytest + +from invokeai.app.services.config.invokeai_config import InvokeAIAppConfig + +# This import must happen before other invoke imports or test in other files(!!) break +from .test_nodes import ( # isort: split ErrorInvocation, - TextToImageTestInvocation, PromptTestInvocation, + TestEventService, + TextToImageTestInvocation, create_edge, wait_until, ) + +from invokeai.app.services.graph import Graph, GraphExecutionState, GraphInvocation, LibraryGraph +from invokeai.app.services.invocation_cache.invocation_cache_memory import MemoryInvocationCache from invokeai.app.services.invocation_queue import MemoryInvocationQueue -from invokeai.app.services.processor import DefaultInvocationProcessor -from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory -from invokeai.app.services.invoker import Invoker from invokeai.app.services.invocation_services import InvocationServices from invokeai.app.services.invocation_stats import InvocationStatsService -from invokeai.app.services.graph import ( - Graph, - GraphExecutionState, - LibraryGraph, -) -import pytest +from invokeai.app.services.invoker import Invoker +from invokeai.app.services.processor import DefaultInvocationProcessor +from invokeai.app.services.session_queue.session_queue_common import DEFAULT_QUEUE_ID +from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory @pytest.fixture @@ -29,29 +36,45 @@ def simple_graph(): return g +@pytest.fixture +def graph_with_subgraph(): + sub_g = Graph() + sub_g.add_node(PromptTestInvocation(id="1", prompt="Banana sushi")) + sub_g.add_node(TextToImageTestInvocation(id="2")) + sub_g.add_edge(create_edge("1", "prompt", "2", "prompt")) + g = Graph() + g.add_node(GraphInvocation(id="1", graph=sub_g)) + return g + + # This must be defined here to avoid issues with the dynamic creation of the union of all invocation types # Defining it in a separate module will cause the union to be incomplete, and pydantic will not validate # the test invocations. @pytest.fixture def mock_services() -> InvocationServices: + lock = threading.Lock() # NOTE: none of these are actually called by the test invocations + db_conn = sqlite3.connect(sqlite_memory, check_same_thread=False) graph_execution_manager = SqliteItemStorage[GraphExecutionState]( - filename=sqlite_memory, table_name="graph_executions" + conn=db_conn, table_name="graph_executions", lock=lock ) return InvocationServices( model_manager=None, # type: ignore events=TestEventService(), - logger=None, # type: ignore + logger=logging, # type: ignore images=None, # type: ignore latents=None, # type: ignore boards=None, # type: ignore board_images=None, # type: ignore queue=MemoryInvocationQueue(), - graph_library=SqliteItemStorage[LibraryGraph](filename=sqlite_memory, table_name="graphs"), + graph_library=SqliteItemStorage[LibraryGraph](conn=db_conn, table_name="graphs", lock=lock), graph_execution_manager=graph_execution_manager, processor=DefaultInvocationProcessor(), performance_statistics=InvocationStatsService(graph_execution_manager), - configuration=None, # type: ignore + configuration=InvokeAIAppConfig(node_cache_size=0), # type: ignore + session_queue=None, # type: ignore + session_processor=None, # type: ignore + invocation_cache=MemoryInvocationCache(max_cache_size=0), ) @@ -80,7 +103,12 @@ def test_can_create_graph_state_from_graph(mock_invoker: Invoker, simple_graph): # @pytest.mark.xfail(reason = "Requires fixing following the model manager refactor") def test_can_invoke(mock_invoker: Invoker, simple_graph): g = mock_invoker.create_execution_state(graph=simple_graph) - invocation_id = mock_invoker.invoke(g) + invocation_id = mock_invoker.invoke( + session_queue_batch_id="1", + session_queue_item_id=1, + session_queue_id=DEFAULT_QUEUE_ID, + graph_execution_state=g, + ) assert invocation_id is not None def has_executed_any(g: GraphExecutionState): @@ -97,7 +125,13 @@ def test_can_invoke(mock_invoker: Invoker, simple_graph): # @pytest.mark.xfail(reason = "Requires fixing following the model manager refactor") def test_can_invoke_all(mock_invoker: Invoker, simple_graph): g = mock_invoker.create_execution_state(graph=simple_graph) - invocation_id = mock_invoker.invoke(g, invoke_all=True) + invocation_id = mock_invoker.invoke( + session_queue_batch_id="1", + session_queue_item_id=1, + session_queue_id=DEFAULT_QUEUE_ID, + graph_execution_state=g, + invoke_all=True, + ) assert invocation_id is not None def has_executed_all(g: GraphExecutionState): @@ -116,7 +150,13 @@ def test_handles_errors(mock_invoker: Invoker): g = mock_invoker.create_execution_state() g.graph.add_node(ErrorInvocation(id="1")) - mock_invoker.invoke(g, invoke_all=True) + mock_invoker.invoke( + session_queue_batch_id="1", + session_queue_item_id=1, + session_queue_id=DEFAULT_QUEUE_ID, + graph_execution_state=g, + invoke_all=True, + ) def has_executed_all(g: GraphExecutionState): g = mock_invoker.services.graph_execution_manager.get(g.id) diff --git a/tests/nodes/test_node_graph.py b/tests/nodes/test_node_graph.py index 0e1be8f343..4793e6ffa6 100644 --- a/tests/nodes/test_node_graph.py +++ b/tests/nodes/test_node_graph.py @@ -1,3 +1,5 @@ +import pytest + from invokeai.app.invocations.baseinvocation import ( BaseInvocation, BaseInvocationOutput, @@ -5,31 +7,30 @@ from invokeai.app.invocations.baseinvocation import ( invocation, invocation_output, ) -from .test_nodes import ( - ImageToImageTestInvocation, - TextToImageTestInvocation, - ListPassThroughInvocation, - PromptTestInvocation, -) -from invokeai.app.services.graph import ( - Edge, - Graph, - GraphInvocation, - InvalidEdgeError, - NodeAlreadyInGraphError, - NodeNotFoundError, - are_connections_compatible, - EdgeConnection, - CollectInvocation, - IterateInvocation, -) -from invokeai.app.invocations.upscale import ESRGANInvocation - from invokeai.app.invocations.image import ShowImageInvocation from invokeai.app.invocations.math import AddInvocation, SubtractInvocation from invokeai.app.invocations.primitives import FloatInvocation, IntegerInvocation +from invokeai.app.invocations.upscale import ESRGANInvocation from invokeai.app.services.default_graphs import create_text_to_image -import pytest +from invokeai.app.services.graph import ( + CollectInvocation, + Edge, + EdgeConnection, + Graph, + GraphInvocation, + InvalidEdgeError, + IterateInvocation, + NodeAlreadyInGraphError, + NodeNotFoundError, + are_connections_compatible, +) + +from .test_nodes import ( + ImageToImageTestInvocation, + ListPassThroughInvocation, + PromptTestInvocation, + TextToImageTestInvocation, +) # Helpers diff --git a/tests/nodes/test_nodes.py b/tests/nodes/test_nodes.py index 26b8b2b565..96a5040a38 100644 --- a/tests/nodes/test_nodes.py +++ b/tests/nodes/test_nodes.py @@ -1,5 +1,7 @@ from typing import Any, Callable, Union + from pydantic import Field + from invokeai.app.invocations.baseinvocation import ( BaseInvocation, BaseInvocationOutput, @@ -51,6 +53,7 @@ class ImageTestInvocationOutput(BaseInvocationOutput): @invocation("test_text_to_image") class TextToImageTestInvocation(BaseInvocation): prompt: str = Field(default="") + prompt2: str = Field(default="") def invoke(self, context: InvocationContext) -> ImageTestInvocationOutput: return ImageTestInvocationOutput(image=ImageField(image_name=self.id)) @@ -78,7 +81,7 @@ class PromptCollectionTestInvocation(BaseInvocation): return PromptCollectionTestInvocationOutput(collection=self.collection.copy()) -# Importing these at the top breaks previous tests +# Importing these must happen after test invocations are defined or they won't register from invokeai.app.services.events import EventServiceBase # noqa: E402 from invokeai.app.services.graph import Edge, EdgeConnection # noqa: E402 diff --git a/tests/nodes/test_session_queue.py b/tests/nodes/test_session_queue.py new file mode 100644 index 0000000000..f28ec1ac54 --- /dev/null +++ b/tests/nodes/test_session_queue.py @@ -0,0 +1,255 @@ +import pytest +from pydantic import ValidationError, parse_raw_as + +from invokeai.app.services.graph import Graph, GraphExecutionState, GraphInvocation +from invokeai.app.services.session_queue.session_queue_common import ( + Batch, + BatchDataCollection, + BatchDatum, + NodeFieldValue, + calc_session_count, + create_session_nfv_tuples, + populate_graph, + prepare_values_to_insert, +) +from tests.nodes.test_nodes import PromptTestInvocation + + +@pytest.fixture +def batch_data_collection() -> BatchDataCollection: + return [ + [ + # zipped + BatchDatum(node_path="1", field_name="prompt", items=["Banana sushi", "Grape sushi"]), + BatchDatum(node_path="2", field_name="prompt", items=["Strawberry sushi", "Blueberry sushi"]), + ], + [ + BatchDatum(node_path="3", field_name="prompt", items=["Orange sushi", "Apple sushi"]), + ], + ] + + +@pytest.fixture +def batch_graph() -> Graph: + g = Graph() + g.add_node(PromptTestInvocation(id="1", prompt="Chevy")) + g.add_node(PromptTestInvocation(id="2", prompt="Toyota")) + g.add_node(PromptTestInvocation(id="3", prompt="Subaru")) + g.add_node(PromptTestInvocation(id="4", prompt="Nissan")) + return g + + +def test_populate_graph_with_subgraph(): + g1 = Graph() + g1.add_node(PromptTestInvocation(id="1", prompt="Banana sushi")) + g1.add_node(PromptTestInvocation(id="2", prompt="Banana sushi")) + n1 = PromptTestInvocation(id="1", prompt="Banana snake") + subgraph = Graph() + subgraph.add_node(n1) + g1.add_node(GraphInvocation(id="3", graph=subgraph)) + + nfvs = [ + NodeFieldValue(node_path="1", field_name="prompt", value="Strawberry sushi"), + NodeFieldValue(node_path="2", field_name="prompt", value="Strawberry sunday"), + NodeFieldValue(node_path="3.1", field_name="prompt", value="Strawberry snake"), + ] + + g2 = populate_graph(g1, nfvs) + + # do not mutate g1 + assert g1 is not g2 + assert g2.get_node("1").prompt == "Strawberry sushi" + assert g2.get_node("2").prompt == "Strawberry sunday" + assert g2.get_node("3.1").prompt == "Strawberry snake" + + +def test_create_sessions_from_batch_with_runs(batch_data_collection, batch_graph): + b = Batch(graph=batch_graph, data=batch_data_collection, runs=2) + t = list(create_session_nfv_tuples(batch=b, maximum=1000)) + # 2 list[BatchDatum] * length 2 * 2 runs = 8 + assert len(t) == 8 + + assert t[0][0].graph.get_node("1").prompt == "Banana sushi" + assert t[0][0].graph.get_node("2").prompt == "Strawberry sushi" + assert t[0][0].graph.get_node("3").prompt == "Orange sushi" + assert t[0][0].graph.get_node("4").prompt == "Nissan" + + assert t[1][0].graph.get_node("1").prompt == "Banana sushi" + assert t[1][0].graph.get_node("2").prompt == "Strawberry sushi" + assert t[1][0].graph.get_node("3").prompt == "Apple sushi" + assert t[1][0].graph.get_node("4").prompt == "Nissan" + + assert t[2][0].graph.get_node("1").prompt == "Grape sushi" + assert t[2][0].graph.get_node("2").prompt == "Blueberry sushi" + assert t[2][0].graph.get_node("3").prompt == "Orange sushi" + assert t[2][0].graph.get_node("4").prompt == "Nissan" + + assert t[3][0].graph.get_node("1").prompt == "Grape sushi" + assert t[3][0].graph.get_node("2").prompt == "Blueberry sushi" + assert t[3][0].graph.get_node("3").prompt == "Apple sushi" + assert t[3][0].graph.get_node("4").prompt == "Nissan" + + # repeat for second run + assert t[4][0].graph.get_node("1").prompt == "Banana sushi" + assert t[4][0].graph.get_node("2").prompt == "Strawberry sushi" + assert t[4][0].graph.get_node("3").prompt == "Orange sushi" + assert t[4][0].graph.get_node("4").prompt == "Nissan" + + assert t[5][0].graph.get_node("1").prompt == "Banana sushi" + assert t[5][0].graph.get_node("2").prompt == "Strawberry sushi" + assert t[5][0].graph.get_node("3").prompt == "Apple sushi" + assert t[5][0].graph.get_node("4").prompt == "Nissan" + + assert t[6][0].graph.get_node("1").prompt == "Grape sushi" + assert t[6][0].graph.get_node("2").prompt == "Blueberry sushi" + assert t[6][0].graph.get_node("3").prompt == "Orange sushi" + assert t[6][0].graph.get_node("4").prompt == "Nissan" + + assert t[7][0].graph.get_node("1").prompt == "Grape sushi" + assert t[7][0].graph.get_node("2").prompt == "Blueberry sushi" + assert t[7][0].graph.get_node("3").prompt == "Apple sushi" + assert t[7][0].graph.get_node("4").prompt == "Nissan" + + +def test_create_sessions_from_batch_without_runs(batch_data_collection, batch_graph): + b = Batch(graph=batch_graph, data=batch_data_collection) + t = list(create_session_nfv_tuples(batch=b, maximum=1000)) + # 2 list[BatchDatum] * length 2 * 1 runs = 8 + assert len(t) == 4 + + +def test_create_sessions_from_batch_without_batch(batch_graph): + b = Batch(graph=batch_graph, runs=2) + t = list(create_session_nfv_tuples(batch=b, maximum=1000)) + # 2 runs + assert len(t) == 2 + + +def test_create_sessions_from_batch_without_batch_or_runs(batch_graph): + b = Batch(graph=batch_graph) + t = list(create_session_nfv_tuples(batch=b, maximum=1000)) + # 1 run + assert len(t) == 1 + + +def test_create_sessions_from_batch_with_runs_and_max(batch_data_collection, batch_graph): + b = Batch(graph=batch_graph, data=batch_data_collection, runs=2) + t = list(create_session_nfv_tuples(batch=b, maximum=5)) + # 2 list[BatchDatum] * length 2 * 2 runs = 8, but max is 5 + assert len(t) == 5 + + +def test_calc_session_count(batch_data_collection, batch_graph): + b = Batch(graph=batch_graph, data=batch_data_collection, runs=2) + # 2 list[BatchDatum] * length 2 * 2 runs = 8 + assert calc_session_count(batch=b) == 8 + + +def test_prepare_values_to_insert(batch_data_collection, batch_graph): + b = Batch(graph=batch_graph, data=batch_data_collection, runs=2) + values = prepare_values_to_insert(queue_id="default", batch=b, priority=0, max_new_queue_items=1000) + assert len(values) == 8 + + # graph should be serialized + ges = parse_raw_as(GraphExecutionState, values[0].session) + + # graph values should be populated + assert ges.graph.get_node("1").prompt == "Banana sushi" + assert ges.graph.get_node("2").prompt == "Strawberry sushi" + assert ges.graph.get_node("3").prompt == "Orange sushi" + assert ges.graph.get_node("4").prompt == "Nissan" + + # session ids should match deserialized graph + assert [v.session_id for v in values] == [parse_raw_as(GraphExecutionState, v.session).id for v in values] + + # should unique session ids + sids = [v.session_id for v in values] + assert len(sids) == len(set(sids)) + + # should have 3 node field values + assert type(values[0].field_values) is str + assert len(parse_raw_as(list[NodeFieldValue], values[0].field_values)) == 3 + + # should have batch id and priority + assert all(v.batch_id == b.batch_id for v in values) + assert all(v.priority == 0 for v in values) + + +def test_prepare_values_to_insert_with_priority(batch_data_collection, batch_graph): + b = Batch(graph=batch_graph, data=batch_data_collection, runs=2) + values = prepare_values_to_insert(queue_id="default", batch=b, priority=1, max_new_queue_items=1000) + assert all(v.priority == 1 for v in values) + + +def test_prepare_values_to_insert_with_max(batch_data_collection, batch_graph): + b = Batch(graph=batch_graph, data=batch_data_collection, runs=2) + values = prepare_values_to_insert(queue_id="default", batch=b, priority=1, max_new_queue_items=5) + assert len(values) == 5 + + +def test_cannot_create_bad_batch_items_length(batch_graph): + with pytest.raises(ValidationError, match="Zipped batch items must all have the same length"): + Batch( + graph=batch_graph, + data=[ + [ + BatchDatum(node_path="1", field_name="prompt", items=["Banana sushi"]), # 1 item + BatchDatum(node_path="2", field_name="prompt", items=["Toyota", "Nissan"]), # 2 items + ], + ], + ) + + +def test_cannot_create_bad_batch_items_type(batch_graph): + with pytest.raises(ValidationError, match="All items in a batch must have the same type"): + Batch( + graph=batch_graph, + data=[ + [ + BatchDatum(node_path="1", field_name="prompt", items=["Banana sushi", 123]), + ] + ], + ) + + +def test_cannot_create_bad_batch_unique_ids(batch_graph): + with pytest.raises(ValidationError, match="Each batch data must have unique node_id and field_name"): + Batch( + graph=batch_graph, + data=[ + [ + BatchDatum(node_path="1", field_name="prompt", items=["Banana sushi"]), + ], + [ + BatchDatum(node_path="1", field_name="prompt", items=["Banana sushi"]), + ], + ], + ) + + +def test_cannot_create_bad_batch_nodes_exist( + batch_graph, +): + with pytest.raises(ValidationError, match=r"Node .* not found in graph"): + Batch( + graph=batch_graph, + data=[ + [ + BatchDatum(node_path="batman", field_name="prompt", items=["Banana sushi"]), + ], + ], + ) + + +def test_cannot_create_bad_batch_fields_exist( + batch_graph, +): + with pytest.raises(ValidationError, match=r"Field .* not found in node"): + Batch( + graph=batch_graph, + data=[ + [ + BatchDatum(node_path="1", field_name="batman", items=["Banana sushi"]), + ], + ], + ) diff --git a/tests/nodes/test_sqlite.py b/tests/nodes/test_sqlite.py index a9eb542e44..002161e917 100644 --- a/tests/nodes/test_sqlite.py +++ b/tests/nodes/test_sqlite.py @@ -1,20 +1,29 @@ -from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory +import sqlite3 +import threading + +import pytest from pydantic import BaseModel, Field +from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory + class TestModel(BaseModel): id: str = Field(description="ID") name: str = Field(description="Name") -def test_sqlite_service_can_create_and_get(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +@pytest.fixture +def db() -> SqliteItemStorage[TestModel]: + db_conn = sqlite3.connect(sqlite_memory, check_same_thread=False) + return SqliteItemStorage[TestModel](db_conn, table_name="test", id_field="id", lock=threading.Lock()) + + +def test_sqlite_service_can_create_and_get(db: SqliteItemStorage[TestModel]): db.set(TestModel(id="1", name="Test")) assert db.get("1") == TestModel(id="1", name="Test") -def test_sqlite_service_can_list(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +def test_sqlite_service_can_list(db: SqliteItemStorage[TestModel]): db.set(TestModel(id="1", name="Test")) db.set(TestModel(id="2", name="Test")) db.set(TestModel(id="3", name="Test")) @@ -30,15 +39,13 @@ def test_sqlite_service_can_list(): ] -def test_sqlite_service_can_delete(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +def test_sqlite_service_can_delete(db: SqliteItemStorage[TestModel]): db.set(TestModel(id="1", name="Test")) db.delete("1") assert db.get("1") is None -def test_sqlite_service_calls_set_callback(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +def test_sqlite_service_calls_set_callback(db: SqliteItemStorage[TestModel]): called = False def on_changed(item: TestModel): @@ -50,8 +57,7 @@ def test_sqlite_service_calls_set_callback(): assert called -def test_sqlite_service_calls_delete_callback(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +def test_sqlite_service_calls_delete_callback(db: SqliteItemStorage[TestModel]): called = False def on_deleted(item_id: str): @@ -64,8 +70,7 @@ def test_sqlite_service_calls_delete_callback(): assert called -def test_sqlite_service_can_list_with_pagination(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +def test_sqlite_service_can_list_with_pagination(db: SqliteItemStorage[TestModel]): db.set(TestModel(id="1", name="Test")) db.set(TestModel(id="2", name="Test")) db.set(TestModel(id="3", name="Test")) @@ -77,8 +82,7 @@ def test_sqlite_service_can_list_with_pagination(): assert results.items == [TestModel(id="1", name="Test"), TestModel(id="2", name="Test")] -def test_sqlite_service_can_list_with_pagination_and_offset(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +def test_sqlite_service_can_list_with_pagination_and_offset(db: SqliteItemStorage[TestModel]): db.set(TestModel(id="1", name="Test")) db.set(TestModel(id="2", name="Test")) db.set(TestModel(id="3", name="Test")) @@ -90,8 +94,7 @@ def test_sqlite_service_can_list_with_pagination_and_offset(): assert results.items == [TestModel(id="3", name="Test")] -def test_sqlite_service_can_search(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +def test_sqlite_service_can_search(db: SqliteItemStorage[TestModel]): db.set(TestModel(id="1", name="Test")) db.set(TestModel(id="2", name="Test")) db.set(TestModel(id="3", name="Test")) @@ -107,8 +110,7 @@ def test_sqlite_service_can_search(): ] -def test_sqlite_service_can_search_with_pagination(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +def test_sqlite_service_can_search_with_pagination(db: SqliteItemStorage[TestModel]): db.set(TestModel(id="1", name="Test")) db.set(TestModel(id="2", name="Test")) db.set(TestModel(id="3", name="Test")) @@ -120,8 +122,7 @@ def test_sqlite_service_can_search_with_pagination(): assert results.items == [TestModel(id="1", name="Test"), TestModel(id="2", name="Test")] -def test_sqlite_service_can_search_with_pagination_and_offset(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +def test_sqlite_service_can_search_with_pagination_and_offset(db: SqliteItemStorage[TestModel]): db.set(TestModel(id="1", name="Test")) db.set(TestModel(id="2", name="Test")) db.set(TestModel(id="3", name="Test")) diff --git a/tests/test_config.py b/tests/test_config.py index 88da7a02ab..2b2492f6a6 100644 --- a/tests/test_config.py +++ b/tests/test_config.py @@ -1,11 +1,10 @@ import os +from pathlib import Path from typing import Any import pytest from omegaconf import OmegaConf -from pathlib import Path - -from invokeai.app.services.config import InvokeAIAppConfig +from pydantic import ValidationError @pytest.fixture @@ -74,6 +73,8 @@ def test_use_init(patch_rootdir): def test_legacy(): + from invokeai.app.services.config import InvokeAIAppConfig + conf = InvokeAIAppConfig.get_config() assert conf conf.parse_args(conf=init3, argv=[]) @@ -85,6 +86,8 @@ def test_legacy(): def test_argv_override(): + from invokeai.app.services.config import InvokeAIAppConfig + conf = InvokeAIAppConfig.get_config() conf.parse_args(conf=init1, argv=["--always_use_cpu", "--max_cache=10"]) assert conf.always_use_cpu @@ -118,6 +121,12 @@ def test_env_override(patch_rootdir): conf.parse_args(conf=init1, argv=[]) assert conf.max_cache_size == 20 + # make sure that prefix is respected + del os.environ["INVOKEAI_always_use_cpu"] + os.environ["always_use_cpu"] = "True" + conf.parse_args(conf=init1, argv=[]) + assert conf.always_use_cpu is False + def test_root_resists_cwd(patch_rootdir): from invokeai.app.services.config import InvokeAIAppConfig @@ -147,3 +156,60 @@ def test_type_coercion(patch_rootdir): conf.parse_args(argv=["--root=/tmp/foobar"]) assert conf.root == Path("/tmp/different") assert isinstance(conf.root, Path) + + +@pytest.mark.xfail( + reason=""" + This test fails when run as part of the full test suite. + + This test needs to deny nodes from being included in the InvocationsUnion by providing + an app configuration as a test fixture. Pytest executes all test files before running + tests, so the app configuration is already initialized by the time this test runs, and + the InvocationUnion is already created and the denied nodes are not omitted from it. + + This test passes when `test_config.py` is tested in isolation. + + Perhaps a solution would be to call `InvokeAIAppConfig.get_config().parse_args()` in + other test files? + """ +) +def test_deny_nodes(patch_rootdir): + from invokeai.app.services.config import InvokeAIAppConfig + + # Allow integer, string and float, but explicitly deny float + allow_deny_nodes_conf = OmegaConf.create( + """ + InvokeAI: + Nodes: + allow_nodes: + - integer + - string + - float + deny_nodes: + - float + """ + ) + # must parse config before importing Graph, so its nodes union uses the config + conf = InvokeAIAppConfig().get_config() + conf.parse_args(conf=allow_deny_nodes_conf, argv=[]) + from invokeai.app.services.graph import Graph + + # confirm graph validation fails when using denied node + Graph(nodes={"1": {"id": "1", "type": "integer"}}) + Graph(nodes={"1": {"id": "1", "type": "string"}}) + + with pytest.raises(ValidationError): + Graph(nodes={"1": {"id": "1", "type": "float"}}) + + from invokeai.app.invocations.baseinvocation import BaseInvocation + + # confirm invocations union will not have denied nodes + all_invocations = BaseInvocation.get_invocations() + + has_integer = len([i for i in all_invocations if i.__fields__.get("type").default == "integer"]) == 1 + has_string = len([i for i in all_invocations if i.__fields__.get("type").default == "string"]) == 1 + has_float = len([i for i in all_invocations if i.__fields__.get("type").default == "float"]) == 1 + + assert has_integer + assert has_string + assert not has_float diff --git a/tests/test_model_manager.py b/tests/test_model_manager.py index 4aa2c4d3b2..5a28862e1f 100644 --- a/tests/test_model_manager.py +++ b/tests/test_model_manager.py @@ -3,7 +3,7 @@ from pathlib import Path import pytest from invokeai.app.services.config import InvokeAIAppConfig -from invokeai.backend import ModelManager, BaseModelType, ModelType, SubModelType +from invokeai.backend import BaseModelType, ModelManager, ModelType, SubModelType BASIC_MODEL_NAME = ("SDXL base", BaseModelType.StableDiffusionXL, ModelType.Main) VAE_OVERRIDE_MODEL_NAME = ("SDXL with VAE", BaseModelType.StableDiffusionXL, ModelType.Main) diff --git a/tests/test_model_probe.py b/tests/test_model_probe.py new file mode 100644 index 0000000000..248b7d602f --- /dev/null +++ b/tests/test_model_probe.py @@ -0,0 +1,22 @@ +from pathlib import Path + +import pytest + +from invokeai.backend import BaseModelType +from invokeai.backend.model_management.model_probe import VaeFolderProbe + + +@pytest.mark.parametrize( + "vae_path,expected_type", + [ + ("sd-vae-ft-mse", BaseModelType.StableDiffusion1), + ("sdxl-vae", BaseModelType.StableDiffusionXL), + ("taesd", BaseModelType.StableDiffusion1), + ("taesdxl", BaseModelType.StableDiffusionXL), + ], +) +def test_get_base_type(vae_path: str, expected_type: BaseModelType, datadir: Path): + sd1_vae_path = datadir / "vae" / vae_path + probe = VaeFolderProbe(sd1_vae_path) + base_type = probe.get_base_type() + assert base_type == expected_type diff --git a/tests/test_model_probe/vae/sd-vae-ft-mse/config.json b/tests/test_model_probe/vae/sd-vae-ft-mse/config.json new file mode 100644 index 0000000000..0db2671757 --- /dev/null +++ b/tests/test_model_probe/vae/sd-vae-ft-mse/config.json @@ -0,0 +1,29 @@ +{ + "_class_name": "AutoencoderKL", + "_diffusers_version": "0.4.2", + "act_fn": "silu", + "block_out_channels": [ + 128, + 256, + 512, + 512 + ], + "down_block_types": [ + "DownEncoderBlock2D", + "DownEncoderBlock2D", + "DownEncoderBlock2D", + "DownEncoderBlock2D" + ], + "in_channels": 3, + "latent_channels": 4, + "layers_per_block": 2, + "norm_num_groups": 32, + "out_channels": 3, + "sample_size": 256, + "up_block_types": [ + "UpDecoderBlock2D", + "UpDecoderBlock2D", + "UpDecoderBlock2D", + "UpDecoderBlock2D" + ] +} diff --git a/tests/test_model_probe/vae/sdxl-vae/config.json b/tests/test_model_probe/vae/sdxl-vae/config.json new file mode 100644 index 0000000000..2c7267b492 --- /dev/null +++ b/tests/test_model_probe/vae/sdxl-vae/config.json @@ -0,0 +1,31 @@ +{ + "_class_name": "AutoencoderKL", + "_diffusers_version": "0.18.0.dev0", + "_name_or_path": ".", + "act_fn": "silu", + "block_out_channels": [ + 128, + 256, + 512, + 512 + ], + "down_block_types": [ + "DownEncoderBlock2D", + "DownEncoderBlock2D", + "DownEncoderBlock2D", + "DownEncoderBlock2D" + ], + "in_channels": 3, + "latent_channels": 4, + "layers_per_block": 2, + "norm_num_groups": 32, + "out_channels": 3, + "sample_size": 1024, + "scaling_factor": 0.13025, + "up_block_types": [ + "UpDecoderBlock2D", + "UpDecoderBlock2D", + "UpDecoderBlock2D", + "UpDecoderBlock2D" + ] +} diff --git a/tests/test_model_probe/vae/taesd/config.json b/tests/test_model_probe/vae/taesd/config.json new file mode 100644 index 0000000000..62f01c3eb4 --- /dev/null +++ b/tests/test_model_probe/vae/taesd/config.json @@ -0,0 +1,37 @@ +{ + "_class_name": "AutoencoderTiny", + "_diffusers_version": "0.20.0.dev0", + "act_fn": "relu", + "decoder_block_out_channels": [ + 64, + 64, + 64, + 64 + ], + "encoder_block_out_channels": [ + 64, + 64, + 64, + 64 + ], + "force_upcast": false, + "in_channels": 3, + "latent_channels": 4, + "latent_magnitude": 3, + "latent_shift": 0.5, + "num_decoder_blocks": [ + 3, + 3, + 3, + 1 + ], + "num_encoder_blocks": [ + 1, + 3, + 3, + 3 + ], + "out_channels": 3, + "scaling_factor": 1.0, + "upsampling_scaling_factor": 2 +} diff --git a/tests/test_model_probe/vae/taesdxl/config.json b/tests/test_model_probe/vae/taesdxl/config.json new file mode 100644 index 0000000000..62f01c3eb4 --- /dev/null +++ b/tests/test_model_probe/vae/taesdxl/config.json @@ -0,0 +1,37 @@ +{ + "_class_name": "AutoencoderTiny", + "_diffusers_version": "0.20.0.dev0", + "act_fn": "relu", + "decoder_block_out_channels": [ + 64, + 64, + 64, + 64 + ], + "encoder_block_out_channels": [ + 64, + 64, + 64, + 64 + ], + "force_upcast": false, + "in_channels": 3, + "latent_channels": 4, + "latent_magnitude": 3, + "latent_shift": 0.5, + "num_decoder_blocks": [ + 3, + 3, + 3, + 1 + ], + "num_encoder_blocks": [ + 1, + 3, + 3, + 3 + ], + "out_channels": 3, + "scaling_factor": 1.0, + "upsampling_scaling_factor": 2 +} diff --git a/tests/test_path.py b/tests/test_path.py index 0da5f2f8dc..4c502acdcc 100644 --- a/tests/test_path.py +++ b/tests/test_path.py @@ -2,14 +2,15 @@ Not really a test, but a way to verify that the paths are existing and fail early if they are not. """ -import unittest import pathlib +import unittest from os import path as osp + from PIL import Image -import invokeai.frontend.web.dist as frontend -import invokeai.configs as configs import invokeai.app.assets.images as image_assets +import invokeai.configs as configs +import invokeai.frontend.web.dist as frontend class ConfigsTestCase(unittest.TestCase):