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Merge branch 'main' into maryhipp/option-fetch-metadata-from-api

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12
.github/ISSUE_TEMPLATE/FEATURE_REQUEST.yml vendored
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@ -1,5 +1,5 @@
name: Feature Request name: Feature Request
description: Commit a idea or Request a new feature description: Contribute a idea or request a new feature
title: '[enhancement]: ' title: '[enhancement]: '
labels: ['enhancement'] labels: ['enhancement']
# assignees: # assignees:
@ -9,14 +9,14 @@ body:
- type: markdown - type: markdown
attributes: attributes:
value: | 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 - type: checkboxes
attributes: attributes:
label: Is there an existing issue for this? label: Is there an existing issue for this?
description: | description: |
Please make use of the [search function](https://github.com/invoke-ai/InvokeAI/labels/enhancement) 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: options:
- label: I have searched the existing issues - label: I have searched the existing issues
required: true required: true
@ -36,7 +36,7 @@ body:
label: What should this feature add? label: What should this feature add?
description: Please try to explain the functionality this feature should add description: Please try to explain the functionality this feature should add
placeholder: | placeholder: |
Instead of one huge textfield, it would be nice to have forms for bug-reports, feature-requests, ... Instead of one huge text field, 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 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 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 https://github.com/marketplace/actions/issue-moderator-with-commands to auto close old issues and other things
@ -51,6 +51,6 @@ body:
- type: textarea - type: textarea
attributes: attributes:
label: Aditional Content label: Additional Content
description: Add any other context or screenshots about the feature request here. description: Add any other context or screenshots about the feature request here.
placeholder: This is a Mockup of the design how I imagine it <screenshot> placeholder: This is a mockup of the design how I imagine it <screenshot>

24
docs/installation/030_INSTALL_CUDA_AND_ROCM.md
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@ -57,6 +57,30 @@ familiar with containerization technologies such as Docker.
For downloads and instructions, visit the [NVIDIA CUDA Container For downloads and instructions, visit the [NVIDIA CUDA Container
Runtime Site](https://developer.nvidia.com/nvidia-container-runtime) Runtime Site](https://developer.nvidia.com/nvidia-container-runtime)
### cuDNN Installation for 40/30 Series Optimization* (Optional)
1. Find the InvokeAI folder
2. Click on .venv folder - e.g., YourInvokeFolderHere\\.venv
3. Click on Lib folder - e.g., YourInvokeFolderHere\\.venv\Lib
4. Click on site-packages folder - e.g., YourInvokeFolderHere\\.venv\Lib\site-packages
5. Click on Torch directory - e.g., YourInvokeFolderHere\InvokeAI\\.venv\Lib\site-packages\torch
6. Click on the lib folder - e.g., YourInvokeFolderHere\\.venv\Lib\site-packages\torch\lib
7. Copy everything inside the folder and save it elsewhere as a backup.
8. Go to __https://developer.nvidia.com/cudnn__
9. Login or create an Account.
10. Choose the newer version of cuDNN. **Note:**
There are two versions, 11.x or 12.x for the differents architectures(Turing,Maxwell Etc...) of GPUs.
You can find which version you should download from [this link](https://docs.nvidia.com/deeplearning/cudnn/support-matrix/index.html).
13. Download the latest version and extract it from the download location
14. Find the bin folder E\cudnn-windows-x86_64-__Whatever Version__\bin
15. Copy and paste the .dll files into YourInvokeFolderHere\\.venv\Lib\site-packages\torch\lib **Make sure to copy, and not move the files**
16. If prompted, replace any existing files
**Notes:**
* If no change is seen or any issues are encountered, follow the same steps as above and paste the torch/lib backup folder you made earlier and replace it. If you didn't make a backup, you can also uninstall and reinstall torch through the command line to repair this folder.
* This optimization is intended for the newer version of graphics card (40/30 series) but results have been seen with older graphics card.
### Torch Installation ### Torch Installation
When installing torch and torchvision manually with `pip`, remember to provide When installing torch and torchvision manually with `pip`, remember to provide