## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [x] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [x] Yes
- [ ] No, because:
## Description
fix(ui): fix non-nodes validation logic being applied to nodes invoke
button
For example, if you had an invalid controlnet setup, it would prevent
you from invoking on nodes, when node validation was disabled.
## Related Tickets & Documents
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For pull requests that relate or close an issue, please include them
below.
For example having the text: "closes #1234" would connect the current
pull
request to issue 1234. And when we merge the pull request, Github will
automatically close the issue.
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- Closes
https://discord.com/channels/1020123559063990373/1028661664519831552/1148431783289966603
## What type of PR is this? (check all applicable)
- [x] Feature
- [x] Optimization
## Have you discussed this change with the InvokeAI team?
- [x] Yes
## Description
# Coherence Mode
A new parameter called Coherence Mode has been added to Coherence Pass
settings. This parameter controls what kind of Coherence Pass is done
after Inpainting and Outpainting.
- Unmasked: This performs a complete unmasked image to image pass on the
entire generation.
- Mask: This performs a masked image to image pass using your input mask
as the coherence mask.
- Mask Edge [DEFAULT] - This performs as masked image to image pass on
the edges of your mask to try and clear out the seams.
# Why The Coherence Masked Modes?
One of the issues with unmasked coherence pass arises when the diffusion
process is trying to align detailed or organic objects. Because Image to
Image tends change the image a little bit even at lower strengths, this
ends up in the paste back process being slightly misaligned. By
providing the mask to the Coherence Pass, we can try to eliminate this
in those cases. While it will be impossible to address this for every
image out there, having these options will allow the user to automate a
lot of this. For everything else there's manual paint over with inpaint.
# Graph Improvements
The graphs have now been refined quite a bit. We no longer do manual
blurring of the masks anymore for outpainting. This is no longer needed
because we now dilate the mask depending on the blur size while pasting
back. As a result we got rid of quite a few nodes that were handling
this in the older graph.
The graphs are also a lot cleaner now because we now tackle Scaled
Dimensions & Coherence Mode completely independently.
Inpainting result seem very promising especially with the Mask Edge
mode.
---
# New Infill Methods [Experimental]
We are currently trying out various new infill methods to see which ones
might perform the best in outpainting. We may keep all of them or keep
none. This will be decided as we test more.
## LaMa Infill
- Renabled LaMA infill in the UI.
- We are trying to get this to work without a memory overhead.
In order to use LaMa, you need to manually download and place the LaMa
JIT model in `models/core/misc/lama/lama.pt`. You can download the JIT
model from Sanster
[here](https://github.com/Sanster/models/releases/download/add_big_lama/big-lama.pt)
and rename it to `lama.pt` or you can use the script in the original
LaMA repo to convert the base model to a JIT model yourself.
## CV2 Infill
- Added a new infilling method using CV2's Inpaint.
## Patchmatch Rescaling
Patchmatch infill input image is now downscaled and infilled. Patchmatch
can be really slow at large resolutions and this is a pretty decent way
to get around that. Additionally, downscaling might also provide a
better patch match by avoiding larger areas to be infilled with
repeating patches. But that's just the theory. Still testing it out.
## [optional] Are there any post deployment tasks we need to perform?
- If we decide to keep LaMA infill, then we will need to host the model
and update the installer to download it as a core model.
Adds my (@dwringer's) released nodes to the community nodes page.
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [ ] Bug Fix
- [ ] Optimization
- [X] Documentation Update
- [ ] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [X] Yes
- [ ] No, because:
## Have you updated all relevant documentation?
- [X] Yes
- [ ] No
## Description
Adds my released nodes -
Depth Map from Wavefront OBJ
Enhance Image
Generative Grammar-Based Prompt Nodes
Ideal Size Stepper
Image Compositor
Final Size & Orientation / Random Switch (Integers)
Text Mask (Simple 2D)
* Consolidated saturation/luminosity adjust.
Now allows increasing and inverting.
Accepts any color PIL format and channel designation.
* Updated docs/nodes/defaultNodes.md
* shortened tags list to channel types only
* fix typo in mode list
* split features into offset and multiply nodes
* Updated documentation
* Change invert to discrete boolean.
Previous math was unclear and had issues with 0 values.
* chore: black
* chore(ui): typegen
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Revised links to my node py files, replacing them with links to independent repos. Additionally I consolidated some nodes together (Image and Mask Composition Pack, Size Stepper nodes).
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [x] Feature
- [ ] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [x] Yes
- [ ] No, because:
## Have you updated all relevant documentation?
- [x] Yes
- [ ] No
## Description
This PR is based on #4423 and should not be merged until it is merged.
[feat(nodes): add version to node
schemas](c179d4ccb7)
The `@invocation` decorator is extended with an optional `version` arg.
On execution of the decorator, the version string is parsed using the
`semver` package (this was an indirect dependency and has been added to
`pyproject.toml`).
All built-in nodes are set with `version="1.0.0"`.
The version is added to the OpenAPI Schema for consumption by the
client.
[feat(ui): handle node
versions](03de3e4f78)
- Node versions are now added to node templates
- Node data (including in workflows) include the version of the node
- On loading a workflow, we check to see if the node and template
versions match exactly. If not, a warning is logged to console.
- The node info icon (top-right corner of node, which you may click to
open the notes editor) now shows the version and mentions any issues.
- Some workflow validation logic has been shifted around and is now
executed in a redux listener.
## Related Tickets & Documents
<!--
For pull requests that relate or close an issue, please include them
below.
For example having the text: "closes #1234" would connect the current
pull
request to issue 1234. And when we merge the pull request, Github will
automatically close the issue.
-->
- Closes#4393
## QA Instructions, Screenshots, Recordings
<!--
Please provide steps on how to test changes, any hardware or
software specifications as well as any other pertinent information.
-->
Loading old workflows should prompt a warning, and the node status icon
should indicate some action is needed.
## [optional] Are there any post deployment tasks we need to perform?
I've updated the default workflows:
- Bump workflow versions from 1.0 to 1.0.1
- Add versions for all nodes in the workflows
- Test workflows
[Default
Workflows.zip](https://github.com/invoke-ai/InvokeAI/files/12511911/Default.Workflows.zip)
I'm not sure where these are being stored right now @Millu
