replace download source
This commit is contained in:
parent
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commit
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@ -1,5 +1,5 @@
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blank_issues_enabled: false
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contact_links:
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- name: WebUI Community Support
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url: https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions
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url: https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions
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about: Please ask and answer questions here.
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@ -9,7 +9,7 @@
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## Checklist:
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- [ ] I have read [contributing wiki page](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Contributing)
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- [ ] I have read [contributing wiki page](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Contributing)
|
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- [ ] I have performed a self-review of my own code
|
||||
- [ ] My code follows the [style guidelines](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Contributing#code-style)
|
||||
- [ ] My code passes [tests](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Tests)
|
||||
- [ ] My code follows the [style guidelines](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Contributing#code-style)
|
||||
- [ ] My code passes [tests](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Tests)
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@ -2,7 +2,7 @@
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# if you were managing a localization and were removed from this file, this is because
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# the intended way to do localizations now is via extensions. See:
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# https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Developing-extensions
|
||||
# https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Developing-extensions
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||||
# Make a repo with your localization and since you are still listed as a collaborator
|
||||
# you can add it to the wiki page yourself. This change is because some people complained
|
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# the git commit log is cluttered with things unrelated to almost everyone and
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84
README.md
84
README.md
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@ -4,7 +4,7 @@ A browser interface based on Gradio library for Stable Diffusion.
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## Features
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[Detailed feature showcase with images](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features):
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[Detailed feature showcase with images](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features):
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- Original txt2img and img2img modes
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- One click install and run script (but you still must install python and git)
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- Outpainting
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@ -28,7 +28,7 @@ A browser interface based on Gradio library for Stable Diffusion.
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- CodeFormer, face restoration tool as an alternative to GFPGAN
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- RealESRGAN, neural network upscaler
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- ESRGAN, neural network upscaler with a lot of third party models
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- SwinIR and Swin2SR ([see here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/2092)), neural network upscalers
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- SwinIR and Swin2SR ([see here](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/2092)), neural network upscalers
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- LDSR, Latent diffusion super resolution upscaling
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- Resizing aspect ratio options
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- Sampling method selection
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@ -63,14 +63,14 @@ A browser interface based on Gradio library for Stable Diffusion.
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- Highres Fix, a convenience option to produce high resolution pictures in one click without usual distortions
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- Reloading checkpoints on the fly
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- Checkpoint Merger, a tab that allows you to merge up to 3 checkpoints into one
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- [Custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts) with many extensions from community
|
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- [Custom scripts](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts) with many extensions from community
|
||||
- [Composable-Diffusion](https://energy-based-model.github.io/Compositional-Visual-Generation-with-Composable-Diffusion-Models/), a way to use multiple prompts at once
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- separate prompts using uppercase `AND`
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- also supports weights for prompts: `a cat :1.2 AND a dog AND a penguin :2.2`
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- No token limit for prompts (original stable diffusion lets you use up to 75 tokens)
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- DeepDanbooru integration, creates danbooru style tags for anime prompts
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- [xformers](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers), major speed increase for select cards: (add `--xformers` to commandline args)
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- via extension: [History tab](https://github.com/yfszzx/stable-diffusion-webui-images-browser): view, direct and delete images conveniently within the UI
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- [xformers](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers), major speed increase for select cards: (add `--xformers` to commandline args)
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- via extension: [History tab](https://ghproxy.com/https://github.com/yfszzx/stable-diffusion-webui-images-browser): view, direct and delete images conveniently within the UI
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- Generate forever option
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- Training tab
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- hypernetworks and embeddings options
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@ -82,10 +82,10 @@ A browser interface based on Gradio library for Stable Diffusion.
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- Can select to load a different VAE from settings screen
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- Estimated completion time in progress bar
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- API
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- Support for dedicated [inpainting model](https://github.com/runwayml/stable-diffusion#inpainting-with-stable-diffusion) by RunwayML
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- via extension: [Aesthetic Gradients](https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-gradients), a way to generate images with a specific aesthetic by using clip images embeds (implementation of [https://github.com/vicgalle/stable-diffusion-aesthetic-gradients](https://github.com/vicgalle/stable-diffusion-aesthetic-gradients))
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- [Stable Diffusion 2.0](https://github.com/Stability-AI/stablediffusion) support - see [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#stable-diffusion-20) for instructions
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- [Alt-Diffusion](https://arxiv.org/abs/2211.06679) support - see [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#alt-diffusion) for instructions
|
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- Support for dedicated [inpainting model](https://ghproxy.com/https://github.com/runwayml/stable-diffusion#inpainting-with-stable-diffusion) by RunwayML
|
||||
- via extension: [Aesthetic Gradients](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-gradients), a way to generate images with a specific aesthetic by using clip images embeds (implementation of [https://ghproxy.com/https://github.com/vicgalle/stable-diffusion-aesthetic-gradients](https://ghproxy.com/https://github.com/vicgalle/stable-diffusion-aesthetic-gradients))
|
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- [Stable Diffusion 2.0](https://ghproxy.com/https://github.com/Stability-AI/stablediffusion) support - see [wiki](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#stable-diffusion-20) for instructions
|
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- [Alt-Diffusion](https://arxiv.org/abs/2211.06679) support - see [wiki](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#alt-diffusion) for instructions
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- Now without any bad letters!
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- Load checkpoints in safetensors format
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- Eased resolution restriction: generated image's domension must be a multiple of 8 rather than 64
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@ -93,22 +93,22 @@ A browser interface based on Gradio library for Stable Diffusion.
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- Reorder elements in the UI from settings screen
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|
||||
## Installation and Running
|
||||
Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for both [NVidia](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended) and [AMD](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs.
|
||||
Make sure the required [dependencies](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for both [NVidia](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended) and [AMD](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs.
|
||||
|
||||
Alternatively, use online services (like Google Colab):
|
||||
|
||||
- [List of Online Services](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Online-Services)
|
||||
- [List of Online Services](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Online-Services)
|
||||
|
||||
### Installation on Windows 10/11 with NVidia-GPUs using release package
|
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1. Download `sd.webui.zip` from [v1.0.0-pre](https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases/tag/v1.0.0-pre) and extract it's contents.
|
||||
1. Download `sd.webui.zip` from [v1.0.0-pre](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases/tag/v1.0.0-pre) and extract it's contents.
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2. Run `update.bat`.
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3. Run `run.bat`.
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> For more details see [Install-and-Run-on-NVidia-GPUs](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs)
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> For more details see [Install-and-Run-on-NVidia-GPUs](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs)
|
||||
|
||||
### Automatic Installation on Windows
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1. Install [Python 3.10.6](https://www.python.org/downloads/release/python-3106/) (Newer version of Python does not support torch), checking "Add Python to PATH".
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2. Install [git](https://git-scm.com/download/win).
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3. Download the stable-diffusion-webui repository, for example by running `git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git`.
|
||||
3. Download the stable-diffusion-webui repository, for example by running `git clone https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui.git`.
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4. Run `webui-user.bat` from Windows Explorer as normal, non-administrator, user.
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|
||||
### Automatic Installation on Linux
|
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@ -129,45 +129,45 @@ bash <(wget -qO- https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusio
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4. Check `webui-user.sh` for options.
|
||||
### Installation on Apple Silicon
|
||||
|
||||
Find the instructions [here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Installation-on-Apple-Silicon).
|
||||
Find the instructions [here](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Installation-on-Apple-Silicon).
|
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|
||||
## Contributing
|
||||
Here's how to add code to this repo: [Contributing](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Contributing)
|
||||
Here's how to add code to this repo: [Contributing](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Contributing)
|
||||
|
||||
## Documentation
|
||||
|
||||
The documentation was moved from this README over to the project's [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki).
|
||||
The documentation was moved from this README over to the project's [wiki](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki).
|
||||
|
||||
For the purposes of getting Google and other search engines to crawl the wiki, here's a link to the (not for humans) [crawlable wiki](https://github-wiki-see.page/m/AUTOMATIC1111/stable-diffusion-webui/wiki).
|
||||
For the purposes of getting Google and other search engines to crawl the wiki, here's a link to the (not for humans) [crawlable wiki](https://ghproxy.com/https://github-wiki-see.page/m/AUTOMATIC1111/stable-diffusion-webui/wiki).
|
||||
|
||||
## Credits
|
||||
Licenses for borrowed code can be found in `Settings -> Licenses` screen, and also in `html/licenses.html` file.
|
||||
|
||||
- Stable Diffusion - https://github.com/CompVis/stable-diffusion, https://github.com/CompVis/taming-transformers
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- k-diffusion - https://github.com/crowsonkb/k-diffusion.git
|
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- GFPGAN - https://github.com/TencentARC/GFPGAN.git
|
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- CodeFormer - https://github.com/sczhou/CodeFormer
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||||
- ESRGAN - https://github.com/xinntao/ESRGAN
|
||||
- SwinIR - https://github.com/JingyunLiang/SwinIR
|
||||
- Swin2SR - https://github.com/mv-lab/swin2sr
|
||||
- LDSR - https://github.com/Hafiidz/latent-diffusion
|
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- MiDaS - https://github.com/isl-org/MiDaS
|
||||
- Ideas for optimizations - https://github.com/basujindal/stable-diffusion
|
||||
- Cross Attention layer optimization - Doggettx - https://github.com/Doggettx/stable-diffusion, original idea for prompt editing.
|
||||
- Cross Attention layer optimization - InvokeAI, lstein - https://github.com/invoke-ai/InvokeAI (originally http://github.com/lstein/stable-diffusion)
|
||||
- Sub-quadratic Cross Attention layer optimization - Alex Birch (https://github.com/Birch-san/diffusers/pull/1), Amin Rezaei (https://github.com/AminRezaei0x443/memory-efficient-attention)
|
||||
- Textual Inversion - Rinon Gal - https://github.com/rinongal/textual_inversion (we're not using his code, but we are using his ideas).
|
||||
- Idea for SD upscale - https://github.com/jquesnelle/txt2imghd
|
||||
- Noise generation for outpainting mk2 - https://github.com/parlance-zz/g-diffuser-bot
|
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- CLIP interrogator idea and borrowing some code - https://github.com/pharmapsychotic/clip-interrogator
|
||||
- Idea for Composable Diffusion - https://github.com/energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
|
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- xformers - https://github.com/facebookresearch/xformers
|
||||
- DeepDanbooru - interrogator for anime diffusers https://github.com/KichangKim/DeepDanbooru
|
||||
- Sampling in float32 precision from a float16 UNet - marunine for the idea, Birch-san for the example Diffusers implementation (https://github.com/Birch-san/diffusers-play/tree/92feee6)
|
||||
- Instruct pix2pix - Tim Brooks (star), Aleksander Holynski (star), Alexei A. Efros (no star) - https://github.com/timothybrooks/instruct-pix2pix
|
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- Stable Diffusion - https://ghproxy.com/https://github.com/CompVis/stable-diffusion, https://ghproxy.com/https://github.com/CompVis/taming-transformers
|
||||
- k-diffusion - https://ghproxy.com/https://github.com/crowsonkb/k-diffusion.git
|
||||
- GFPGAN - https://ghproxy.com/https://github.com/TencentARC/GFPGAN.git
|
||||
- CodeFormer - https://ghproxy.com/https://github.com/sczhou/CodeFormer
|
||||
- ESRGAN - https://ghproxy.com/https://github.com/xinntao/ESRGAN
|
||||
- SwinIR - https://ghproxy.com/https://github.com/JingyunLiang/SwinIR
|
||||
- Swin2SR - https://ghproxy.com/https://github.com/mv-lab/swin2sr
|
||||
- LDSR - https://ghproxy.com/https://github.com/Hafiidz/latent-diffusion
|
||||
- MiDaS - https://ghproxy.com/https://github.com/isl-org/MiDaS
|
||||
- Ideas for optimizations - https://ghproxy.com/https://github.com/basujindal/stable-diffusion
|
||||
- Cross Attention layer optimization - Doggettx - https://ghproxy.com/https://github.com/Doggettx/stable-diffusion, original idea for prompt editing.
|
||||
- Cross Attention layer optimization - InvokeAI, lstein - https://ghproxy.com/https://github.com/invoke-ai/InvokeAI (originally http://github.com/lstein/stable-diffusion)
|
||||
- Sub-quadratic Cross Attention layer optimization - Alex Birch (https://ghproxy.com/https://github.com/Birch-san/diffusers/pull/1), Amin Rezaei (https://ghproxy.com/https://github.com/AminRezaei0x443/memory-efficient-attention)
|
||||
- Textual Inversion - Rinon Gal - https://ghproxy.com/https://github.com/rinongal/textual_inversion (we're not using his code, but we are using his ideas).
|
||||
- Idea for SD upscale - https://ghproxy.com/https://github.com/jquesnelle/txt2imghd
|
||||
- Noise generation for outpainting mk2 - https://ghproxy.com/https://github.com/parlance-zz/g-diffuser-bot
|
||||
- CLIP interrogator idea and borrowing some code - https://ghproxy.com/https://github.com/pharmapsychotic/clip-interrogator
|
||||
- Idea for Composable Diffusion - https://ghproxy.com/https://github.com/energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
|
||||
- xformers - https://ghproxy.com/https://github.com/facebookresearch/xformers
|
||||
- DeepDanbooru - interrogator for anime diffusers https://ghproxy.com/https://github.com/KichangKim/DeepDanbooru
|
||||
- Sampling in float32 precision from a float16 UNet - marunine for the idea, Birch-san for the example Diffusers implementation (https://ghproxy.com/https://github.com/Birch-san/diffusers-play/tree/92feee6)
|
||||
- Instruct pix2pix - Tim Brooks (star), Aleksander Holynski (star), Alexei A. Efros (no star) - https://ghproxy.com/https://github.com/timothybrooks/instruct-pix2pix
|
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- Security advice - RyotaK
|
||||
- UniPC sampler - Wenliang Zhao - https://github.com/wl-zhao/UniPC
|
||||
- TAESD - Ollin Boer Bohan - https://github.com/madebyollin/taesd
|
||||
- UniPC sampler - Wenliang Zhao - https://ghproxy.com/https://github.com/wl-zhao/UniPC
|
||||
- TAESD - Ollin Boer Bohan - https://ghproxy.com/https://github.com/madebyollin/taesd
|
||||
- LyCORIS - KohakuBlueleaf
|
||||
- Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.
|
||||
- (You)
|
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@ -1,4 +1,4 @@
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# File modified by authors of InstructPix2Pix from original (https://github.com/CompVis/stable-diffusion).
|
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# File modified by authors of InstructPix2Pix from original (https://ghproxy.com/https://github.com/CompVis/stable-diffusion).
|
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# See more details in LICENSE.
|
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model:
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@ -147,7 +147,7 @@ class VQModel(pl.LightningModule):
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return x
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def training_step(self, batch, batch_idx, optimizer_idx):
|
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# https://github.com/pytorch/pytorch/issues/37142
|
||||
# https://ghproxy.com/https://github.com/pytorch/pytorch/issues/37142
|
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# try not to fool the heuristics
|
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x = self.get_input(batch, self.image_key)
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xrec, qloss, ind = self(x, return_pred_indices=True)
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@ -18,8 +18,8 @@ class UpscalerScuNET(modules.upscaler.Upscaler):
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self.name = "ScuNET"
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self.model_name = "ScuNET GAN"
|
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self.model_name2 = "ScuNET PSNR"
|
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self.model_url = "https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth"
|
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self.model_url2 = "https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_psnr.pth"
|
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self.model_url = "https://ghproxy.com/https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth"
|
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self.model_url2 = "https://ghproxy.com/https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_psnr.pth"
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self.user_path = dirname
|
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super().__init__()
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model_paths = self.find_models(ext_filter=[".pth"])
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|
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@ -12,7 +12,7 @@ from swinir_model_arch import SwinIR
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from swinir_model_arch_v2 import Swin2SR
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from modules.upscaler import Upscaler, UpscalerData
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|
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SWINIR_MODEL_URL = "https://github.com/JingyunLiang/SwinIR/releases/download/v0.0/003_realSR_BSRGAN_DFOWMFC_s64w8_SwinIR-L_x4_GAN.pth"
|
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SWINIR_MODEL_URL = "https://ghproxy.com/https://github.com/JingyunLiang/SwinIR/releases/download/v0.0/003_realSR_BSRGAN_DFOWMFC_s64w8_SwinIR-L_x4_GAN.pth"
|
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|
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device_swinir = devices.get_device_for('swinir')
|
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|
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|
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|
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|
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@ -1,7 +1,7 @@
|
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<div>
|
||||
<a href="{api_docs}">API</a>
|
||||
•
|
||||
<a href="https://github.com/AUTOMATIC1111/stable-diffusion-webui">Github</a>
|
||||
<a href="https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui">Github</a>
|
||||
•
|
||||
<a href="https://gradio.app">Gradio</a>
|
||||
•
|
||||
|
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|
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|
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@ -4,7 +4,7 @@
|
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#licenses pre { margin: 1em 0 2em 0;}
|
||||
</style>
|
||||
|
||||
<h2><a href="https://github.com/sczhou/CodeFormer/blob/master/LICENSE">CodeFormer</a></h2>
|
||||
<h2><a href="https://ghproxy.com/https://github.com/sczhou/CodeFormer/blob/master/LICENSE">CodeFormer</a></h2>
|
||||
<small>Parts of CodeFormer code had to be copied to be compatible with GFPGAN.</small>
|
||||
<pre>
|
||||
S-Lab License 1.0
|
||||
|
|
@ -45,7 +45,7 @@ please contact the contributor(s) of the work.
|
|||
</pre>
|
||||
|
||||
|
||||
<h2><a href="https://github.com/victorca25/iNNfer/blob/main/LICENSE">ESRGAN</a></h2>
|
||||
<h2><a href="https://ghproxy.com/https://github.com/victorca25/iNNfer/blob/main/LICENSE">ESRGAN</a></h2>
|
||||
<small>Code for architecture and reading models copied.</small>
|
||||
<pre>
|
||||
MIT License
|
||||
|
|
@ -71,7 +71,7 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
|||
SOFTWARE.
|
||||
</pre>
|
||||
|
||||
<h2><a href="https://github.com/xinntao/Real-ESRGAN/blob/master/LICENSE">Real-ESRGAN</a></h2>
|
||||
<h2><a href="https://ghproxy.com/https://github.com/xinntao/Real-ESRGAN/blob/master/LICENSE">Real-ESRGAN</a></h2>
|
||||
<small>Some code is copied to support ESRGAN models.</small>
|
||||
<pre>
|
||||
BSD 3-Clause License
|
||||
|
|
@ -105,7 +105,7 @@ OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
|||
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
</pre>
|
||||
|
||||
<h2><a href="https://github.com/invoke-ai/InvokeAI/blob/main/LICENSE">InvokeAI</a></h2>
|
||||
<h2><a href="https://ghproxy.com/https://github.com/invoke-ai/InvokeAI/blob/main/LICENSE">InvokeAI</a></h2>
|
||||
<small>Some code for compatibility with OSX is taken from lstein's repository.</small>
|
||||
<pre>
|
||||
MIT License
|
||||
|
|
@ -131,7 +131,7 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
|||
SOFTWARE.
|
||||
</pre>
|
||||
|
||||
<h2><a href="https://github.com/Hafiidz/latent-diffusion/blob/main/LICENSE">LDSR</a></h2>
|
||||
<h2><a href="https://ghproxy.com/https://github.com/Hafiidz/latent-diffusion/blob/main/LICENSE">LDSR</a></h2>
|
||||
<small>Code added by contirubtors, most likely copied from this repository.</small>
|
||||
<pre>
|
||||
MIT License
|
||||
|
|
@ -157,7 +157,7 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
|||
SOFTWARE.
|
||||
</pre>
|
||||
|
||||
<h2><a href="https://github.com/pharmapsychotic/clip-interrogator/blob/main/LICENSE">CLIP Interrogator</a></h2>
|
||||
<h2><a href="https://ghproxy.com/https://github.com/pharmapsychotic/clip-interrogator/blob/main/LICENSE">CLIP Interrogator</a></h2>
|
||||
<small>Some small amounts of code borrowed and reworked.</small>
|
||||
<pre>
|
||||
MIT License
|
||||
|
|
@ -183,7 +183,7 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
|||
SOFTWARE.
|
||||
</pre>
|
||||
|
||||
<h2><a href="https://github.com/JingyunLiang/SwinIR/blob/main/LICENSE">SwinIR</a></h2>
|
||||
<h2><a href="https://ghproxy.com/https://github.com/JingyunLiang/SwinIR/blob/main/LICENSE">SwinIR</a></h2>
|
||||
<small>Code added by contributors, most likely copied from this repository.</small>
|
||||
|
||||
<pre>
|
||||
|
|
@ -390,7 +390,7 @@ SOFTWARE.
|
|||
limitations under the License.
|
||||
</pre>
|
||||
|
||||
<h2><a href="https://github.com/AminRezaei0x443/memory-efficient-attention/blob/main/LICENSE">Memory Efficient Attention</a></h2>
|
||||
<h2><a href="https://ghproxy.com/https://github.com/AminRezaei0x443/memory-efficient-attention/blob/main/LICENSE">Memory Efficient Attention</a></h2>
|
||||
<small>The sub-quadratic cross attention optimization uses modified code from the Memory Efficient Attention package that Alex Birch optimized for 3D tensors. This license is updated to reflect that.</small>
|
||||
<pre>
|
||||
MIT License
|
||||
|
|
@ -417,7 +417,7 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
|||
SOFTWARE.
|
||||
</pre>
|
||||
|
||||
<h2><a href="https://github.com/huggingface/diffusers/blob/c7da8fd23359a22d0df2741688b5b4f33c26df21/LICENSE">Scaled Dot Product Attention</a></h2>
|
||||
<h2><a href="https://ghproxy.com/https://github.com/huggingface/diffusers/blob/c7da8fd23359a22d0df2741688b5b4f33c26df21/LICENSE">Scaled Dot Product Attention</a></h2>
|
||||
<small>Some small amounts of code borrowed and reworked.</small>
|
||||
<pre>
|
||||
Copyright 2023 The HuggingFace Team. All rights reserved.
|
||||
|
|
@ -637,7 +637,7 @@ SOFTWARE.
|
|||
limitations under the License.
|
||||
</pre>
|
||||
|
||||
<h2><a href="https://github.com/explosion/curated-transformers/blob/main/LICENSE">Curated transformers</a></h2>
|
||||
<h2><a href="https://ghproxy.com/https://github.com/explosion/curated-transformers/blob/main/LICENSE">Curated transformers</a></h2>
|
||||
<small>The MPS workaround for nn.Linear on macOS 13.2.X is based on the MPS workaround for nn.Linear created by danieldk for Curated transformers</small>
|
||||
<pre>
|
||||
The MIT License (MIT)
|
||||
|
|
@ -663,7 +663,7 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
|
|||
THE SOFTWARE.
|
||||
</pre>
|
||||
|
||||
<h2><a href="https://github.com/madebyollin/taesd/blob/main/LICENSE">TAESD</a></h2>
|
||||
<h2><a href="https://ghproxy.com/https://github.com/madebyollin/taesd/blob/main/LICENSE">TAESD</a></h2>
|
||||
<small>Tiny AutoEncoder for Stable Diffusion option for live previews</small>
|
||||
<pre>
|
||||
MIT License
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
/**
|
||||
* temporary fix for https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/668
|
||||
* @see https://github.com/gradio-app/gradio/issues/1721
|
||||
* temporary fix for https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/668
|
||||
* @see https://ghproxy.com/https://github.com/gradio-app/gradio/issues/1721
|
||||
*/
|
||||
function imageMaskResize() {
|
||||
const canvases = gradioApp().querySelectorAll('#img2maskimg .touch-none canvas');
|
||||
|
|
|
|||
|
|
@ -2,7 +2,7 @@
|
|||
|
||||
'''
|
||||
VQGAN code, adapted from the original created by the Unleashing Transformers authors:
|
||||
https://github.com/samb-t/unleashing-transformers/blob/master/models/vqgan.py
|
||||
https://ghproxy.com/https://github.com/samb-t/unleashing-transformers/blob/master/models/vqgan.py
|
||||
|
||||
'''
|
||||
import torch
|
||||
|
|
|
|||
|
|
@ -13,7 +13,7 @@ from modules.paths import models_path
|
|||
# I am making a choice to include some files from codeformer to work around this issue.
|
||||
model_dir = "Codeformer"
|
||||
model_path = os.path.join(models_path, model_dir)
|
||||
model_url = 'https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth'
|
||||
model_url = 'https://ghproxy.com/https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth'
|
||||
|
||||
codeformer = None
|
||||
|
||||
|
|
|
|||
|
|
@ -19,7 +19,7 @@ class DeepDanbooru:
|
|||
|
||||
files = modelloader.load_models(
|
||||
model_path=os.path.join(paths.models_path, "torch_deepdanbooru"),
|
||||
model_url='https://github.com/AUTOMATIC1111/TorchDeepDanbooru/releases/download/v1/model-resnet_custom_v3.pt',
|
||||
model_url='https://ghproxy.com/https://github.com/AUTOMATIC1111/TorchDeepDanbooru/releases/download/v1/model-resnet_custom_v3.pt',
|
||||
ext_filter=[".pt"],
|
||||
download_name='model-resnet_custom_v3.pt',
|
||||
)
|
||||
|
|
|
|||
|
|
@ -4,7 +4,7 @@ import torch.nn.functional as F
|
|||
|
||||
from modules import devices
|
||||
|
||||
# see https://github.com/AUTOMATIC1111/TorchDeepDanbooru for more
|
||||
# see https://ghproxy.com/https://github.com/AUTOMATIC1111/TorchDeepDanbooru for more
|
||||
|
||||
|
||||
class DeepDanbooruModel(nn.Module):
|
||||
|
|
|
|||
|
|
@ -63,7 +63,7 @@ def enable_tf32():
|
|||
if torch.cuda.is_available():
|
||||
|
||||
# enabling benchmark option seems to enable a range of cards to do fp16 when they otherwise can't
|
||||
# see https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/4407
|
||||
# see https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/4407
|
||||
if any(torch.cuda.get_device_capability(devid) == (7, 5) for devid in range(0, torch.cuda.device_count())):
|
||||
torch.backends.cudnn.benchmark = True
|
||||
|
||||
|
|
|
|||
|
|
@ -60,7 +60,7 @@ def display(e: Exception, task, *, full_traceback=False):
|
|||
if "copying a param with shape torch.Size([640, 1024]) from checkpoint, the shape in current model is torch.Size([640, 768])" in message:
|
||||
print_error_explanation("""
|
||||
The most likely cause of this is you are trying to load Stable Diffusion 2.0 model without specifying its config file.
|
||||
See https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#stable-diffusion-20 for how to solve this.
|
||||
See https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#stable-diffusion-20 for how to solve this.
|
||||
""")
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -11,7 +11,7 @@ from modules.upscaler import Upscaler, UpscalerData
|
|||
|
||||
|
||||
def mod2normal(state_dict):
|
||||
# this code is copied from https://github.com/victorca25/iNNfer
|
||||
# this code is copied from https://ghproxy.com/https://github.com/victorca25/iNNfer
|
||||
if 'conv_first.weight' in state_dict:
|
||||
crt_net = {}
|
||||
items = list(state_dict)
|
||||
|
|
@ -44,7 +44,7 @@ def mod2normal(state_dict):
|
|||
|
||||
|
||||
def resrgan2normal(state_dict, nb=23):
|
||||
# this code is copied from https://github.com/victorca25/iNNfer
|
||||
# this code is copied from https://ghproxy.com/https://github.com/victorca25/iNNfer
|
||||
if "conv_first.weight" in state_dict and "body.0.rdb1.conv1.weight" in state_dict:
|
||||
re8x = 0
|
||||
crt_net = {}
|
||||
|
|
@ -72,7 +72,7 @@ def resrgan2normal(state_dict, nb=23):
|
|||
crt_net['model.6.bias'] = state_dict['conv_up2.bias']
|
||||
|
||||
if 'conv_up3.weight' in state_dict:
|
||||
# modification supporting: https://github.com/ai-forever/Real-ESRGAN/blob/main/RealESRGAN/rrdbnet_arch.py
|
||||
# modification supporting: https://ghproxy.com/https://github.com/ai-forever/Real-ESRGAN/blob/main/RealESRGAN/rrdbnet_arch.py
|
||||
re8x = 3
|
||||
crt_net['model.9.weight'] = state_dict['conv_up3.weight']
|
||||
crt_net['model.9.bias'] = state_dict['conv_up3.bias']
|
||||
|
|
@ -87,7 +87,7 @@ def resrgan2normal(state_dict, nb=23):
|
|||
|
||||
|
||||
def infer_params(state_dict):
|
||||
# this code is copied from https://github.com/victorca25/iNNfer
|
||||
# this code is copied from https://ghproxy.com/https://github.com/victorca25/iNNfer
|
||||
scale2x = 0
|
||||
scalemin = 6
|
||||
n_uplayer = 0
|
||||
|
|
@ -121,7 +121,7 @@ def infer_params(state_dict):
|
|||
class UpscalerESRGAN(Upscaler):
|
||||
def __init__(self, dirname):
|
||||
self.name = "ESRGAN"
|
||||
self.model_url = "https://github.com/cszn/KAIR/releases/download/v1.0/ESRGAN.pth"
|
||||
self.model_url = "https://ghproxy.com/https://github.com/cszn/KAIR/releases/download/v1.0/ESRGAN.pth"
|
||||
self.model_name = "ESRGAN_4x"
|
||||
self.scalers = []
|
||||
self.user_path = dirname
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
# this file is adapted from https://github.com/victorca25/iNNfer
|
||||
# this file is adapted from https://ghproxy.com/https://github.com/victorca25/iNNfer
|
||||
|
||||
from collections import OrderedDict
|
||||
import math
|
||||
|
|
@ -182,7 +182,7 @@ def conv1x1(in_planes, out_planes, stride=1):
|
|||
|
||||
class SRVGGNetCompact(nn.Module):
|
||||
"""A compact VGG-style network structure for super-resolution.
|
||||
This class is copied from https://github.com/xinntao/Real-ESRGAN
|
||||
This class is copied from https://ghproxy.com/https://github.com/xinntao/Real-ESRGAN
|
||||
"""
|
||||
|
||||
def __init__(self, num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=16, upscale=4, act_type='prelu'):
|
||||
|
|
|
|||
|
|
@ -9,7 +9,7 @@ from modules import paths, shared, devices, modelloader, errors
|
|||
model_dir = "GFPGAN"
|
||||
user_path = None
|
||||
model_path = os.path.join(paths.models_path, model_dir)
|
||||
model_url = "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth"
|
||||
model_url = "https://ghproxy.com/https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth"
|
||||
have_gfpgan = False
|
||||
loaded_gfpgan_model = None
|
||||
|
||||
|
|
|
|||
|
|
@ -64,7 +64,7 @@ def sha256(filename, title, use_addnet_hash=False):
|
|||
|
||||
|
||||
def addnet_hash_safetensors(b):
|
||||
"""kohya-ss hash for safetensors from https://github.com/kohya-ss/sd-scripts/blob/main/library/train_util.py"""
|
||||
"""kohya-ss hash for safetensors from https://ghproxy.com/https://github.com/kohya-ss/sd-scripts/blob/main/library/train_util.py"""
|
||||
hash_sha256 = hashlib.sha256()
|
||||
blksize = 1024 * 1024
|
||||
|
||||
|
|
|
|||
|
|
@ -53,7 +53,7 @@ and delete current Python and "venv" folder in WebUI's directory.
|
|||
|
||||
You can download 3.10 Python from here: https://www.python.org/downloads/release/python-3106/
|
||||
|
||||
{"Alternatively, use a binary release of WebUI: https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases" if is_windows else ""}
|
||||
{"Alternatively, use a binary release of WebUI: https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases" if is_windows else ""}
|
||||
|
||||
Use --skip-python-version-check to suppress this warning.
|
||||
""")
|
||||
|
|
@ -274,15 +274,15 @@ def prepare_environment():
|
|||
requirements_file = os.environ.get('REQS_FILE', "requirements_versions.txt")
|
||||
|
||||
xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.20')
|
||||
gfpgan_package = os.environ.get('GFPGAN_PACKAGE', "https://github.com/TencentARC/GFPGAN/archive/8d2447a2d918f8eba5a4a01463fd48e45126a379.zip")
|
||||
clip_package = os.environ.get('CLIP_PACKAGE', "https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip")
|
||||
openclip_package = os.environ.get('OPENCLIP_PACKAGE', "https://github.com/mlfoundations/open_clip/archive/bb6e834e9c70d9c27d0dc3ecedeebeaeb1ffad6b.zip")
|
||||
gfpgan_package = os.environ.get('GFPGAN_PACKAGE', "https://ghproxy.com/https://github.com/TencentARC/GFPGAN/archive/8d2447a2d918f8eba5a4a01463fd48e45126a379.zip")
|
||||
clip_package = os.environ.get('CLIP_PACKAGE', "https://ghproxy.com/https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip")
|
||||
openclip_package = os.environ.get('OPENCLIP_PACKAGE', "https://ghproxy.com/https://github.com/mlfoundations/open_clip/archive/bb6e834e9c70d9c27d0dc3ecedeebeaeb1ffad6b.zip")
|
||||
|
||||
stable_diffusion_repo = os.environ.get('STABLE_DIFFUSION_REPO', "https://github.com/Stability-AI/stablediffusion.git")
|
||||
stable_diffusion_xl_repo = os.environ.get('STABLE_DIFFUSION_XL_REPO', "https://github.com/Stability-AI/generative-models.git")
|
||||
k_diffusion_repo = os.environ.get('K_DIFFUSION_REPO', 'https://github.com/crowsonkb/k-diffusion.git')
|
||||
codeformer_repo = os.environ.get('CODEFORMER_REPO', 'https://github.com/sczhou/CodeFormer.git')
|
||||
blip_repo = os.environ.get('BLIP_REPO', 'https://github.com/salesforce/BLIP.git')
|
||||
stable_diffusion_repo = os.environ.get('STABLE_DIFFUSION_REPO', "https://ghproxy.com/https://github.com/Stability-AI/stablediffusion.git")
|
||||
stable_diffusion_xl_repo = os.environ.get('STABLE_DIFFUSION_XL_REPO', "https://ghproxy.com/https://github.com/Stability-AI/generative-models.git")
|
||||
k_diffusion_repo = os.environ.get('K_DIFFUSION_REPO', 'https://ghproxy.com/https://github.com/crowsonkb/k-diffusion.git')
|
||||
codeformer_repo = os.environ.get('CODEFORMER_REPO', 'https://ghproxy.com/https://github.com/sczhou/CodeFormer.git')
|
||||
blip_repo = os.environ.get('BLIP_REPO', 'https://ghproxy.com/https://github.com/salesforce/BLIP.git')
|
||||
|
||||
stable_diffusion_commit_hash = os.environ.get('STABLE_DIFFUSION_COMMIT_HASH', "cf1d67a6fd5ea1aa600c4df58e5b47da45f6bdbf")
|
||||
stable_diffusion_xl_commit_hash = os.environ.get('STABLE_DIFFUSION_XL_COMMIT_HASH', "5c10deee76adad0032b412294130090932317a87")
|
||||
|
|
@ -331,7 +331,7 @@ def prepare_environment():
|
|||
run_pip(f"install -U -I --no-deps {xformers_package}", "xformers", live=True)
|
||||
else:
|
||||
print("Installation of xformers is not supported in this version of Python.")
|
||||
print("You can also check this and build manually: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers#building-xformers-on-windows-by-duckness")
|
||||
print("You can also check this and build manually: https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers#building-xformers-on-windows-by-duckness")
|
||||
if not is_installed("xformers"):
|
||||
exit(0)
|
||||
elif platform.system() == "Linux":
|
||||
|
|
|
|||
|
|
@ -11,7 +11,7 @@ log = logging.getLogger(__name__)
|
|||
# before torch version 1.13, has_mps is only available in nightly pytorch and macOS 12.3+,
|
||||
# use check `getattr` and try it for compatibility.
|
||||
# in torch version 1.13, backends.mps.is_available() and backends.mps.is_built() are introduced in to check mps availabilty,
|
||||
# since torch 2.0.1+ nightly build, getattr(torch, 'has_mps', False) was deprecated, see https://github.com/pytorch/pytorch/pull/103279
|
||||
# since torch 2.0.1+ nightly build, getattr(torch, 'has_mps', False) was deprecated, see https://ghproxy.com/https://github.com/pytorch/pytorch/pull/103279
|
||||
def check_for_mps() -> bool:
|
||||
if version.parse(torch.__version__) <= version.parse("2.0.1"):
|
||||
if not getattr(torch, 'has_mps', False):
|
||||
|
|
@ -40,7 +40,7 @@ def torch_mps_gc() -> None:
|
|||
log.warning("MPS garbage collection failed", exc_info=True)
|
||||
|
||||
|
||||
# MPS workaround for https://github.com/pytorch/pytorch/issues/89784
|
||||
# MPS workaround for https://ghproxy.com/https://github.com/pytorch/pytorch/issues/89784
|
||||
def cumsum_fix(input, cumsum_func, *args, **kwargs):
|
||||
if input.device.type == 'mps':
|
||||
output_dtype = kwargs.get('dtype', input.dtype)
|
||||
|
|
@ -56,19 +56,19 @@ if has_mps:
|
|||
CondFunc('torchsde._brownian.brownian_interval._randn', lambda _, size, dtype, device, seed: torch.randn(size, dtype=dtype, device=torch.device("cpu"), generator=torch.Generator(torch.device("cpu")).manual_seed(int(seed))).to(device), lambda _, size, dtype, device, seed: device.type == 'mps')
|
||||
|
||||
if platform.mac_ver()[0].startswith("13.2."):
|
||||
# MPS workaround for https://github.com/pytorch/pytorch/issues/95188, thanks to danieldk (https://github.com/explosion/curated-transformers/pull/124)
|
||||
# MPS workaround for https://ghproxy.com/https://github.com/pytorch/pytorch/issues/95188, thanks to danieldk (https://ghproxy.com/https://github.com/explosion/curated-transformers/pull/124)
|
||||
CondFunc('torch.nn.functional.linear', lambda _, input, weight, bias: (torch.matmul(input, weight.t()) + bias) if bias is not None else torch.matmul(input, weight.t()), lambda _, input, weight, bias: input.numel() > 10485760)
|
||||
|
||||
if version.parse(torch.__version__) < version.parse("1.13"):
|
||||
# PyTorch 1.13 doesn't need these fixes but unfortunately is slower and has regressions that prevent training from working
|
||||
|
||||
# MPS workaround for https://github.com/pytorch/pytorch/issues/79383
|
||||
# MPS workaround for https://ghproxy.com/https://github.com/pytorch/pytorch/issues/79383
|
||||
CondFunc('torch.Tensor.to', lambda orig_func, self, *args, **kwargs: orig_func(self.contiguous(), *args, **kwargs),
|
||||
lambda _, self, *args, **kwargs: self.device.type != 'mps' and (args and isinstance(args[0], torch.device) and args[0].type == 'mps' or isinstance(kwargs.get('device'), torch.device) and kwargs['device'].type == 'mps'))
|
||||
# MPS workaround for https://github.com/pytorch/pytorch/issues/80800
|
||||
# MPS workaround for https://ghproxy.com/https://github.com/pytorch/pytorch/issues/80800
|
||||
CondFunc('torch.nn.functional.layer_norm', lambda orig_func, *args, **kwargs: orig_func(*([args[0].contiguous()] + list(args[1:])), **kwargs),
|
||||
lambda _, *args, **kwargs: args and isinstance(args[0], torch.Tensor) and args[0].device.type == 'mps')
|
||||
# MPS workaround for https://github.com/pytorch/pytorch/issues/90532
|
||||
# MPS workaround for https://ghproxy.com/https://github.com/pytorch/pytorch/issues/90532
|
||||
CondFunc('torch.Tensor.numpy', lambda orig_func, self, *args, **kwargs: orig_func(self.detach(), *args, **kwargs), lambda _, self, *args, **kwargs: self.requires_grad)
|
||||
elif version.parse(torch.__version__) > version.parse("1.13.1"):
|
||||
cumsum_needs_int_fix = not torch.Tensor([1,2]).to(torch.device("mps")).equal(torch.ShortTensor([1,1]).to(torch.device("mps")).cumsum(0))
|
||||
|
|
@ -77,10 +77,10 @@ if has_mps:
|
|||
CondFunc('torch.Tensor.cumsum', cumsum_fix_func, None)
|
||||
CondFunc('torch.narrow', lambda orig_func, *args, **kwargs: orig_func(*args, **kwargs).clone(), None)
|
||||
|
||||
# MPS workaround for https://github.com/pytorch/pytorch/issues/96113
|
||||
# MPS workaround for https://ghproxy.com/https://github.com/pytorch/pytorch/issues/96113
|
||||
CondFunc('torch.nn.functional.layer_norm', lambda orig_func, x, normalized_shape, weight, bias, eps, **kwargs: orig_func(x.float(), normalized_shape, weight.float() if weight is not None else None, bias.float() if bias is not None else bias, eps).to(x.dtype), lambda _, input, *args, **kwargs: len(args) == 4 and input.device.type == 'mps')
|
||||
|
||||
# MPS workaround for https://github.com/pytorch/pytorch/issues/92311
|
||||
# MPS workaround for https://ghproxy.com/https://github.com/pytorch/pytorch/issues/92311
|
||||
if platform.processor() == 'i386':
|
||||
for funcName in ['torch.argmax', 'torch.Tensor.argmax']:
|
||||
CondFunc(funcName, lambda _, input, *args, **kwargs: torch.max(input.float() if input.dtype == torch.int64 else input, *args, **kwargs)[1], lambda _, input, *args, **kwargs: input.device.type == 'mps')
|
||||
|
|
|
|||
|
|
@ -1,12 +1,12 @@
|
|||
"""
|
||||
wild mixture of
|
||||
https://github.com/lucidrains/denoising-diffusion-pytorch/blob/7706bdfc6f527f58d33f84b7b522e61e6e3164b3/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py
|
||||
https://github.com/openai/improved-diffusion/blob/e94489283bb876ac1477d5dd7709bbbd2d9902ce/improved_diffusion/gaussian_diffusion.py
|
||||
https://github.com/CompVis/taming-transformers
|
||||
https://ghproxy.com/https://github.com/lucidrains/denoising-diffusion-pytorch/blob/7706bdfc6f527f58d33f84b7b522e61e6e3164b3/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py
|
||||
https://ghproxy.com/https://github.com/openai/improved-diffusion/blob/e94489283bb876ac1477d5dd7709bbbd2d9902ce/improved_diffusion/gaussian_diffusion.py
|
||||
https://ghproxy.com/https://github.com/CompVis/taming-transformers
|
||||
-- merci
|
||||
"""
|
||||
|
||||
# File modified by authors of InstructPix2Pix from original (https://github.com/CompVis/stable-diffusion).
|
||||
# File modified by authors of InstructPix2Pix from original (https://ghproxy.com/https://github.com/CompVis/stable-diffusion).
|
||||
# See more details in LICENSE.
|
||||
|
||||
import torch
|
||||
|
|
|
|||
|
|
@ -11,7 +11,7 @@ def connect(token, port, options):
|
|||
token, username, password = token.split(':', 2)
|
||||
account = f"{username}:{password}"
|
||||
|
||||
# For all options see: https://github.com/ngrok/ngrok-py/blob/main/examples/ngrok-connect-full.py
|
||||
# For all options see: https://ghproxy.com/https://github.com/ngrok/ngrok-py/blob/main/examples/ngrok-connect-full.py
|
||||
if not options.get('authtoken_from_env'):
|
||||
options['authtoken'] = token
|
||||
if account:
|
||||
|
|
|
|||
|
|
@ -86,42 +86,42 @@ def get_realesrgan_models(scaler):
|
|||
models = [
|
||||
UpscalerData(
|
||||
name="R-ESRGAN General 4xV3",
|
||||
path="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-x4v3.pth",
|
||||
path="https://ghproxy.com/https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-x4v3.pth",
|
||||
scale=4,
|
||||
upscaler=scaler,
|
||||
model=lambda: SRVGGNetCompact(num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=32, upscale=4, act_type='prelu')
|
||||
),
|
||||
UpscalerData(
|
||||
name="R-ESRGAN General WDN 4xV3",
|
||||
path="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-wdn-x4v3.pth",
|
||||
path="https://ghproxy.com/https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-wdn-x4v3.pth",
|
||||
scale=4,
|
||||
upscaler=scaler,
|
||||
model=lambda: SRVGGNetCompact(num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=32, upscale=4, act_type='prelu')
|
||||
),
|
||||
UpscalerData(
|
||||
name="R-ESRGAN AnimeVideo",
|
||||
path="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-animevideov3.pth",
|
||||
path="https://ghproxy.com/https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-animevideov3.pth",
|
||||
scale=4,
|
||||
upscaler=scaler,
|
||||
model=lambda: SRVGGNetCompact(num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=16, upscale=4, act_type='prelu')
|
||||
),
|
||||
UpscalerData(
|
||||
name="R-ESRGAN 4x+",
|
||||
path="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth",
|
||||
path="https://ghproxy.com/https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth",
|
||||
scale=4,
|
||||
upscaler=scaler,
|
||||
model=lambda: RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23, num_grow_ch=32, scale=4)
|
||||
),
|
||||
UpscalerData(
|
||||
name="R-ESRGAN 4x+ Anime6B",
|
||||
path="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth",
|
||||
path="https://ghproxy.com/https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth",
|
||||
scale=4,
|
||||
upscaler=scaler,
|
||||
model=lambda: RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=6, num_grow_ch=32, scale=4)
|
||||
),
|
||||
UpscalerData(
|
||||
name="R-ESRGAN 2x+",
|
||||
path="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth",
|
||||
path="https://ghproxy.com/https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth",
|
||||
scale=2,
|
||||
upscaler=scaler,
|
||||
model=lambda: RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23, num_grow_ch=32, scale=2)
|
||||
|
|
|
|||
|
|
@ -172,7 +172,7 @@ def get_available_vram():
|
|||
return psutil.virtual_memory().available
|
||||
|
||||
|
||||
# see https://github.com/basujindal/stable-diffusion/pull/117 for discussion
|
||||
# see https://ghproxy.com/https://github.com/basujindal/stable-diffusion/pull/117 for discussion
|
||||
def split_cross_attention_forward_v1(self, x, context=None, mask=None, **kwargs):
|
||||
h = self.heads
|
||||
|
||||
|
|
@ -213,7 +213,7 @@ def split_cross_attention_forward_v1(self, x, context=None, mask=None, **kwargs)
|
|||
return self.to_out(r2)
|
||||
|
||||
|
||||
# taken from https://github.com/Doggettx/stable-diffusion and modified
|
||||
# taken from https://ghproxy.com/https://github.com/Doggettx/stable-diffusion and modified
|
||||
def split_cross_attention_forward(self, x, context=None, mask=None, **kwargs):
|
||||
h = self.heads
|
||||
|
||||
|
|
@ -277,7 +277,7 @@ def split_cross_attention_forward(self, x, context=None, mask=None, **kwargs):
|
|||
return self.to_out(r2)
|
||||
|
||||
|
||||
# -- Taken from https://github.com/invoke-ai/InvokeAI and modified --
|
||||
# -- Taken from https://ghproxy.com/https://github.com/invoke-ai/InvokeAI and modified --
|
||||
mem_total_gb = psutil.virtual_memory().total // (1 << 30)
|
||||
|
||||
|
||||
|
|
@ -378,10 +378,10 @@ def split_cross_attention_forward_invokeAI(self, x, context=None, mask=None, **k
|
|||
r = r.to(dtype)
|
||||
return self.to_out(rearrange(r, '(b h) n d -> b n (h d)', h=h))
|
||||
|
||||
# -- End of code from https://github.com/invoke-ai/InvokeAI --
|
||||
# -- End of code from https://ghproxy.com/https://github.com/invoke-ai/InvokeAI --
|
||||
|
||||
|
||||
# Based on Birch-san's modified implementation of sub-quadratic attention from https://github.com/Birch-san/diffusers/pull/1
|
||||
# Based on Birch-san's modified implementation of sub-quadratic attention from https://ghproxy.com/https://github.com/Birch-san/diffusers/pull/1
|
||||
# The sub_quad_attention_forward function is under the MIT License listed under Memory Efficient Attention in the Licenses section of the web UI interface
|
||||
def sub_quad_attention_forward(self, x, context=None, mask=None, **kwargs):
|
||||
assert mask is None, "attention-mask not currently implemented for SubQuadraticCrossAttnProcessor."
|
||||
|
|
@ -494,7 +494,7 @@ def xformers_attention_forward(self, x, context=None, mask=None, **kwargs):
|
|||
return self.to_out(out)
|
||||
|
||||
|
||||
# Based on Diffusers usage of scaled dot product attention from https://github.com/huggingface/diffusers/blob/c7da8fd23359a22d0df2741688b5b4f33c26df21/src/diffusers/models/cross_attention.py
|
||||
# Based on Diffusers usage of scaled dot product attention from https://ghproxy.com/https://github.com/huggingface/diffusers/blob/c7da8fd23359a22d0df2741688b5b4f33c26df21/src/diffusers/models/cross_attention.py
|
||||
# The scaled_dot_product_attention_forward function contains parts of code under Apache-2.0 license listed under Scaled Dot Product Attention in the Licenses section of the web UI interface
|
||||
def scaled_dot_product_attention_forward(self, x, context=None, mask=None, **kwargs):
|
||||
batch_size, sequence_length, inner_dim = x.shape
|
||||
|
|
|
|||
|
|
@ -371,10 +371,10 @@ def enable_midas_autodownload():
|
|||
midas.api.ISL_PATHS[k] = os.path.join(midas_path, file_name)
|
||||
|
||||
midas_urls = {
|
||||
"dpt_large": "https://github.com/intel-isl/DPT/releases/download/1_0/dpt_large-midas-2f21e586.pt",
|
||||
"dpt_hybrid": "https://github.com/intel-isl/DPT/releases/download/1_0/dpt_hybrid-midas-501f0c75.pt",
|
||||
"midas_v21": "https://github.com/AlexeyAB/MiDaS/releases/download/midas_dpt/midas_v21-f6b98070.pt",
|
||||
"midas_v21_small": "https://github.com/AlexeyAB/MiDaS/releases/download/midas_dpt/midas_v21_small-70d6b9c8.pt",
|
||||
"dpt_large": "https://ghproxy.com/https://github.com/intel-isl/DPT/releases/download/1_0/dpt_large-midas-2f21e586.pt",
|
||||
"dpt_hybrid": "https://ghproxy.com/https://github.com/intel-isl/DPT/releases/download/1_0/dpt_hybrid-midas-501f0c75.pt",
|
||||
"midas_v21": "https://ghproxy.com/https://github.com/AlexeyAB/MiDaS/releases/download/midas_dpt/midas_v21-f6b98070.pt",
|
||||
"midas_v21_small": "https://ghproxy.com/https://github.com/AlexeyAB/MiDaS/releases/download/midas_dpt/midas_v21_small-70d6b9c8.pt",
|
||||
}
|
||||
|
||||
midas.api.load_model_inner = midas.api.load_model
|
||||
|
|
|
|||
|
|
@ -50,7 +50,7 @@ def model():
|
|||
|
||||
if not os.path.exists(model_path):
|
||||
model_path = os.path.join(paths.models_path, "VAE-approx", model_name)
|
||||
download_model(model_path, 'https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases/download/v1.0.0-pre/' + model_name)
|
||||
download_model(model_path, 'https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases/download/v1.0.0-pre/' + model_name)
|
||||
|
||||
loaded_model = VAEApprox()
|
||||
loaded_model.load_state_dict(torch.load(model_path, map_location='cpu' if devices.device.type != 'cuda' else None))
|
||||
|
|
|
|||
|
|
@ -2,7 +2,7 @@
|
|||
Tiny AutoEncoder for Stable Diffusion
|
||||
(DNN for encoding / decoding SD's latent space)
|
||||
|
||||
https://github.com/madebyollin/taesd
|
||||
https://ghproxy.com/https://github.com/madebyollin/taesd
|
||||
"""
|
||||
import os
|
||||
import torch
|
||||
|
|
@ -75,7 +75,7 @@ def model():
|
|||
|
||||
if loaded_model is None:
|
||||
model_path = os.path.join(paths_internal.models_path, "VAE-taesd", model_name)
|
||||
download_model(model_path, 'https://github.com/madebyollin/taesd/raw/main/' + model_name)
|
||||
download_model(model_path, 'https://ghproxy.com/https://github.com/madebyollin/taesd/raw/main/' + model_name)
|
||||
|
||||
if os.path.exists(model_path):
|
||||
loaded_model = TAESD(model_path)
|
||||
|
|
|
|||
|
|
@ -312,7 +312,7 @@ options_templates = {}
|
|||
options_templates.update(options_section(('saving-images', "Saving images/grids"), {
|
||||
"samples_save": OptionInfo(True, "Always save all generated images"),
|
||||
"samples_format": OptionInfo('png', 'File format for images'),
|
||||
"samples_filename_pattern": OptionInfo("", "Images filename pattern", component_args=hide_dirs).link("wiki", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Images-Filename-Name-and-Subdirectory"),
|
||||
"samples_filename_pattern": OptionInfo("", "Images filename pattern", component_args=hide_dirs).link("wiki", "https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Images-Filename-Name-and-Subdirectory"),
|
||||
"save_images_add_number": OptionInfo(True, "Add number to filename when saving", component_args=hide_dirs),
|
||||
|
||||
"grid_save": OptionInfo(True, "Always save all generated image grids"),
|
||||
|
|
@ -320,7 +320,7 @@ options_templates.update(options_section(('saving-images', "Saving images/grids"
|
|||
"grid_extended_filename": OptionInfo(False, "Add extended info (seed, prompt) to filename when saving grid"),
|
||||
"grid_only_if_multiple": OptionInfo(True, "Do not save grids consisting of one picture"),
|
||||
"grid_prevent_empty_spots": OptionInfo(False, "Prevent empty spots in grid (when set to autodetect)"),
|
||||
"grid_zip_filename_pattern": OptionInfo("", "Archive filename pattern", component_args=hide_dirs).link("wiki", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Images-Filename-Name-and-Subdirectory"),
|
||||
"grid_zip_filename_pattern": OptionInfo("", "Archive filename pattern", component_args=hide_dirs).link("wiki", "https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Images-Filename-Name-and-Subdirectory"),
|
||||
"n_rows": OptionInfo(-1, "Grid row count; use -1 for autodetect and 0 for it to be same as batch size", gr.Slider, {"minimum": -1, "maximum": 16, "step": 1}),
|
||||
"font": OptionInfo("", "Font for image grids that have text"),
|
||||
"grid_text_active_color": OptionInfo("#000000", "Text color for image grids", ui_components.FormColorPicker, {}),
|
||||
|
|
@ -367,7 +367,7 @@ options_templates.update(options_section(('saving-to-dirs', "Saving to a directo
|
|||
"save_to_dirs": OptionInfo(True, "Save images to a subdirectory"),
|
||||
"grid_save_to_dirs": OptionInfo(True, "Save grids to a subdirectory"),
|
||||
"use_save_to_dirs_for_ui": OptionInfo(False, "When using \"Save\" button, save images to a subdirectory"),
|
||||
"directories_filename_pattern": OptionInfo("[date]", "Directory name pattern", component_args=hide_dirs).link("wiki", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Images-Filename-Name-and-Subdirectory"),
|
||||
"directories_filename_pattern": OptionInfo("[date]", "Directory name pattern", component_args=hide_dirs).link("wiki", "https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Images-Filename-Name-and-Subdirectory"),
|
||||
"directories_max_prompt_words": OptionInfo(8, "Max prompt words for [prompt_words] pattern", gr.Slider, {"minimum": 1, "maximum": 20, "step": 1, **hide_dirs}),
|
||||
}))
|
||||
|
||||
|
|
@ -425,7 +425,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
|
|||
"enable_emphasis": OptionInfo(True, "Enable emphasis").info("use (text) to make model pay more attention to text and [text] to make it pay less attention"),
|
||||
"enable_batch_seeds": OptionInfo(True, "Make K-diffusion samplers produce same images in a batch as when making a single image"),
|
||||
"comma_padding_backtrack": OptionInfo(20, "Prompt word wrap length limit", gr.Slider, {"minimum": 0, "maximum": 74, "step": 1}).info("in tokens - for texts shorter than specified, if they don't fit into 75 token limit, move them to the next 75 token chunk"),
|
||||
"CLIP_stop_at_last_layers": OptionInfo(1, "Clip skip", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}).link("wiki", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#clip-skip").info("ignore last layers of CLIP network; 1 ignores none, 2 ignores one layer"),
|
||||
"CLIP_stop_at_last_layers": OptionInfo(1, "Clip skip", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}).link("wiki", "https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#clip-skip").info("ignore last layers of CLIP network; 1 ignores none, 2 ignores one layer"),
|
||||
"upcast_attn": OptionInfo(False, "Upcast cross attention layer to float32"),
|
||||
"auto_vae_precision": OptionInfo(True, "Automaticlly revert VAE to 32-bit floats").info("triggers when a tensor with NaNs is produced in VAE; disabling the option in this case will result in a black square image"),
|
||||
"randn_source": OptionInfo("GPU", "Random number generator source.", gr.Radio, {"choices": ["GPU", "CPU"]}).info("changes seeds drastically; use CPU to produce the same picture across different videocard vendors"),
|
||||
|
|
@ -440,8 +440,8 @@ options_templates.update(options_section(('sdxl', "Stable Diffusion XL"), {
|
|||
|
||||
options_templates.update(options_section(('optimizations', "Optimizations"), {
|
||||
"cross_attention_optimization": OptionInfo("Automatic", "Cross attention optimization", gr.Dropdown, lambda: {"choices": shared_items.cross_attention_optimizations()}),
|
||||
"s_min_uncond": OptionInfo(0.0, "Negative Guidance minimum sigma", gr.Slider, {"minimum": 0.0, "maximum": 15.0, "step": 0.01}).link("PR", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/9177").info("skip negative prompt for some steps when the image is almost ready; 0=disable, higher=faster"),
|
||||
"token_merging_ratio": OptionInfo(0.0, "Token merging ratio", gr.Slider, {"minimum": 0.0, "maximum": 0.9, "step": 0.1}).link("PR", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/9256").info("0=disable, higher=faster"),
|
||||
"s_min_uncond": OptionInfo(0.0, "Negative Guidance minimum sigma", gr.Slider, {"minimum": 0.0, "maximum": 15.0, "step": 0.01}).link("PR", "https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/9177").info("skip negative prompt for some steps when the image is almost ready; 0=disable, higher=faster"),
|
||||
"token_merging_ratio": OptionInfo(0.0, "Token merging ratio", gr.Slider, {"minimum": 0.0, "maximum": 0.9, "step": 0.1}).link("PR", "https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/9256").info("0=disable, higher=faster"),
|
||||
"token_merging_ratio_img2img": OptionInfo(0.0, "Token merging ratio for img2img", gr.Slider, {"minimum": 0.0, "maximum": 0.9, "step": 0.1}).info("only applies if non-zero and overrides above"),
|
||||
"token_merging_ratio_hr": OptionInfo(0.0, "Token merging ratio for high-res pass", gr.Slider, {"minimum": 0.0, "maximum": 0.9, "step": 0.1}).info("only applies if non-zero and overrides above"),
|
||||
"pad_cond_uncond": OptionInfo(False, "Pad prompt/negative prompt to be same length").info("improves performance when prompt and negative prompt have different lengths; changes seeds"),
|
||||
|
|
@ -556,7 +556,7 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters"
|
|||
'sigma_max': OptionInfo(0.0, "sigma max", gr.Number).info("0 = default (~14.6); maximum noise strength for k-diffusion noise schedule"),
|
||||
'rho': OptionInfo(0.0, "rho", gr.Number).info("0 = default (7 for karras, 1 for polyexponential); higher values result in a more steep noise schedule (decreases faster)"),
|
||||
'eta_noise_seed_delta': OptionInfo(0, "Eta noise seed delta", gr.Number, {"precision": 0}).info("ENSD; does not improve anything, just produces different results for ancestral samplers - only useful for reproducing images"),
|
||||
'always_discard_next_to_last_sigma': OptionInfo(False, "Always discard next-to-last sigma").link("PR", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/6044"),
|
||||
'always_discard_next_to_last_sigma': OptionInfo(False, "Always discard next-to-last sigma").link("PR", "https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/6044"),
|
||||
'uni_pc_variant': OptionInfo("bh1", "UniPC variant", gr.Radio, {"choices": ["bh1", "bh2", "vary_coeff"]}),
|
||||
'uni_pc_skip_type': OptionInfo("time_uniform", "UniPC skip type", gr.Radio, {"choices": ["time_uniform", "time_quadratic", "logSNR"]}),
|
||||
'uni_pc_order': OptionInfo(3, "UniPC order", gr.Slider, {"minimum": 1, "maximum": 50, "step": 1}).info("must be < sampling steps"),
|
||||
|
|
|
|||
|
|
@ -1,5 +1,5 @@
|
|||
# original source:
|
||||
# https://github.com/AminRezaei0x443/memory-efficient-attention/blob/1bc0d9e6ac5f82ea43a375135c4e1d3896ee1694/memory_efficient_attention/attention_torch.py
|
||||
# https://ghproxy.com/https://github.com/AminRezaei0x443/memory-efficient-attention/blob/1bc0d9e6ac5f82ea43a375135c4e1d3896ee1694/memory_efficient_attention/attention_torch.py
|
||||
# license:
|
||||
# MIT License (see Memory Efficient Attention under the Licenses section in the web UI interface for the full license)
|
||||
# credit:
|
||||
|
|
|
|||
|
|
@ -295,7 +295,7 @@ def is_square(w, h):
|
|||
|
||||
|
||||
def download_and_cache_models(dirname):
|
||||
download_url = 'https://github.com/opencv/opencv_zoo/blob/91fb0290f50896f38a0ab1e558b74b16bc009428/models/face_detection_yunet/face_detection_yunet_2022mar.onnx?raw=true'
|
||||
download_url = 'https://ghproxy.com/https://github.com/opencv/opencv_zoo/blob/91fb0290f50896f38a0ab1e558b74b16bc009428/models/face_detection_yunet/face_detection_yunet_2022mar.onnx?raw=true'
|
||||
model_file_name = 'face_detection_yunet.onnx'
|
||||
|
||||
os.makedirs(dirname, exist_ok=True)
|
||||
|
|
|
|||
|
|
@ -1138,7 +1138,7 @@ def create_ui():
|
|||
|
||||
with gr.Blocks(analytics_enabled=False) as train_interface:
|
||||
with gr.Row().style(equal_height=False):
|
||||
gr.HTML(value="<p style='margin-bottom: 0.7em'>See <b><a href=\"https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Textual-Inversion\">wiki</a></b> for detailed explanation.</p>")
|
||||
gr.HTML(value="<p style='margin-bottom: 0.7em'>See <b><a href=\"https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Textual-Inversion\">wiki</a></b> for detailed explanation.</p>")
|
||||
|
||||
with gr.Row(variant="compact").style(equal_height=False):
|
||||
with gr.Tabs(elem_id="train_tabs"):
|
||||
|
|
@ -1243,7 +1243,7 @@ def create_ui():
|
|||
return sorted(textual_inversion.textual_inversion_templates)
|
||||
|
||||
with gr.Tab(label="Train", id="train"):
|
||||
gr.HTML(value="<p style='margin-bottom: 0.7em'>Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images <a href=\"https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Textual-Inversion\" style=\"font-weight:bold;\">[wiki]</a></p>")
|
||||
gr.HTML(value="<p style='margin-bottom: 0.7em'>Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images <a href=\"https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Textual-Inversion\" style=\"font-weight:bold;\">[wiki]</a></p>")
|
||||
with FormRow():
|
||||
train_embedding_name = gr.Dropdown(label='Embedding', elem_id="train_embedding", choices=sorted(sd_hijack.model_hijack.embedding_db.word_embeddings.keys()))
|
||||
create_refresh_button(train_embedding_name, sd_hijack.model_hijack.embedding_db.load_textual_inversion_embeddings, lambda: {"choices": sorted(sd_hijack.model_hijack.embedding_db.word_embeddings.keys())}, "refresh_train_embedding_name")
|
||||
|
|
@ -1507,7 +1507,7 @@ def create_ui():
|
|||
gr.Audio(interactive=False, value=os.path.join(script_path, "notification.mp3"), elem_id="audio_notification", visible=False)
|
||||
|
||||
footer = shared.html("footer.html")
|
||||
footer = footer.format(versions=versions_html(), api_docs="/docs" if shared.cmd_opts.api else "https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/API")
|
||||
footer = footer.format(versions=versions_html(), api_docs="/docs" if shared.cmd_opts.api else "https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/API")
|
||||
gr.HTML(footer, elem_id="footer")
|
||||
|
||||
settings.add_functionality(demo)
|
||||
|
|
@ -1577,7 +1577,7 @@ def versions_html():
|
|||
xformers_version = "N/A"
|
||||
|
||||
return f"""
|
||||
version: <a href="https://github.com/AUTOMATIC1111/stable-diffusion-webui/commit/{commit}">{tag}</a>
|
||||
version: <a href="https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/commit/{commit}">{tag}</a>
|
||||
 • 
|
||||
python: <span title="{sys.version}">{python_version}</span>
|
||||
 • 
|
||||
|
|
|
|||
|
|
@ -124,7 +124,7 @@ def check_updates(id_task, disable_list):
|
|||
def make_commit_link(commit_hash, remote, text=None):
|
||||
if text is None:
|
||||
text = commit_hash[:8]
|
||||
if remote.startswith("https://github.com/"):
|
||||
if remote.startswith("https://ghproxy.com/https://github.com/"):
|
||||
if remote.endswith(".git"):
|
||||
remote = remote[:-4]
|
||||
href = remote + "/commit/" + commit_hash
|
||||
|
|
|
|||
|
|
@ -62,7 +62,7 @@ def find_noise_for_image(p, cond, uncond, cfg_scale, steps):
|
|||
Cached = namedtuple("Cached", ["noise", "cfg_scale", "steps", "latent", "original_prompt", "original_negative_prompt", "sigma_adjustment"])
|
||||
|
||||
|
||||
# Based on changes suggested by briansemrau in https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/736
|
||||
# Based on changes suggested by briansemrau in https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/736
|
||||
def find_noise_for_image_sigma_adjustment(p, cond, uncond, cfg_scale, steps):
|
||||
x = p.init_latent
|
||||
|
||||
|
|
|
|||
|
|
@ -12,7 +12,7 @@ from modules.processing import Processed, process_images
|
|||
from modules.shared import opts, state
|
||||
|
||||
|
||||
# this function is taken from https://github.com/parlance-zz/g-diffuser-bot
|
||||
# this function is taken from https://ghproxy.com/https://github.com/parlance-zz/g-diffuser-bot
|
||||
def get_matched_noise(_np_src_image, np_mask_rgb, noise_q=1, color_variation=0.05):
|
||||
# helper fft routines that keep ortho normalization and auto-shift before and after fft
|
||||
def _fft2(data):
|
||||
|
|
|
|||
|
|
@ -12,7 +12,7 @@ fi
|
|||
export install_dir="$HOME"
|
||||
export COMMANDLINE_ARGS="--skip-torch-cuda-test --upcast-sampling --no-half-vae --use-cpu interrogate"
|
||||
export TORCH_COMMAND="pip install torch==2.0.1 torchvision==0.15.2"
|
||||
export K_DIFFUSION_REPO="https://github.com/brkirch/k-diffusion.git"
|
||||
export K_DIFFUSION_REPO="https://ghproxy.com/https://github.com/brkirch/k-diffusion.git"
|
||||
export K_DIFFUSION_COMMIT_HASH="51c9778f269cedb55a4d88c79c0246d35bdadb71"
|
||||
export PYTORCH_ENABLE_MPS_FALLBACK=1
|
||||
|
||||
|
|
|
|||
2
webui.sh
2
webui.sh
|
|
@ -187,7 +187,7 @@ else
|
|||
printf "\n%s\n" "${delimiter}"
|
||||
printf "Clone stable-diffusion-webui"
|
||||
printf "\n%s\n" "${delimiter}"
|
||||
"${GIT}" clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git "${clone_dir}"
|
||||
"${GIT}" clone https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui.git "${clone_dir}"
|
||||
cd "${clone_dir}"/ || { printf "\e[1m\e[31mERROR: Can't cd to %s/%s/, aborting...\e[0m" "${install_dir}" "${clone_dir}"; exit 1; }
|
||||
fi
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue