update readme and screenshots and add themes wiki

This commit is contained in:
Vladimir Mandic
2024-02-06 12:21:46 -05:00
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## TODO Future
- ipadapter multi image
- control second pass
- multi-ipadapter: https://github.com/huggingface/diffusers/pull/6573
- control second pass: https://github.com/vladmandic/automatic/issues/2783
- diffusers public callbacks
- image2video: pia and vgen pipelines
- video2video
- wuerstchen v3 [pr](https://github.com/huggingface/diffusers/pull/6487)
- more pipelines: <https://github.com/huggingface/diffusers/blob/main/examples/community/README.md>
- segmoe lora
- control api
- masking api
- preprocess api
- diffusers training master script
- remove kohya from submodules
- bind panZoom to control input
@@ -51,7 +47,11 @@ As of this release, default backend is set to **diffusers** as its more feature
## Update for 2023-02-05
- Heavily updated [Wiki](https://github.com/vladmandic/automatic/wiki)
- **Control**:
- new docs:
- [Control overview](https://github.com/vladmandic/automatic/wiki/Control)
- [Control guide](https://github.com/vladmandic/automatic/wiki/Control-Guide), thanks @Aptronymist
- add **inpaint** support
applies to both *img2img* and *controlnet* workflows
- add **outpaint** support
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<br>
![Screenshot-Dark](html/xmas-default.jpg)
![Screenshot-Control](html/xmas-control.jpg)
![Screenshot-Light](html/light-teal.jpg)
*Main text2image interface*:
![Screenshot-Dark](html/screenshot-text2image.jpg)
*Control interface*:
![Screenshot-Control](html/screenshot-control.jpg)
*Color grading*:
![Screenshot-Control](html/screenshot-color.jpg)
For screenshots and informations on other available themes, see [Themes Wiki](https://github.com/vladmandic/automatic/wiki/Themes)
<br>
@@ -48,13 +55,13 @@ All individual features are not listed here, instead check [ChangeLog](CHANGELOG
**SD.Next** supports two main backends: *Original* and *Diffusers*:
- **Diffusers**: Based on new [Huggingface Diffusers](https://huggingface.co/docs/diffusers/index) implementation
Supports *original* SD models as well as *all* models listed below
See [wiki article](https://github.com/vladmandic/automatic/wiki/Diffusers) for more information
- **Original**: Based on [LDM](https://github.com/Stability-AI/stablediffusion) reference implementation and significantly expanded on by [A1111](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
This is the default backend and it is fully compatible with all existing functionality and extensions
Supports **SD 1.x** and **SD 2.x** models
All other model types such as *SD-XL, LCM, PixArt, Segmind, Kandinsky, etc.* require backend **Diffusers**
- **Diffusers**: Based on new [Huggingface Diffusers](https://huggingface.co/docs/diffusers/index) implementation
Supports *original* SD models as well as *all* models listed below
See [wiki article](https://github.com/vladmandic/automatic/wiki/Diffusers) for more information
## Model support
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- [aMUSEd 256](https://huggingface.co/amused/amused-256) 256 and 512
- [Segmind Vega](https://huggingface.co/segmind/Segmind-Vega)
- [Segmind SSD-1B](https://huggingface.co/segmind/SSD-1B)
- [Segmind SegMoE](https://github.com/segmind/segmoe) *SD and SD-XL*
- [Kandinsky](https://github.com/ai-forever/Kandinsky-2) *2.1 and 2.2 and latest 3.0*
- [PixArt-α XL 2](https://github.com/PixArt-alpha/PixArt-alpha) *Medium and Large*
- [Warp Wuerstchen](https://huggingface.co/blog/wuertschen)
@@ -79,10 +87,11 @@ Additional models will be added as they become available and there is public int
Also supported are modifiers such as:
- **LCM** and **Turbo** (Adversarial Diffusion Distillation) networks
- **LCM** and **Turbo** (*adversarial diffusion distillation*) networks
- All **LoRA** types such as LoCon, LyCORIS, HADA, IA3, Lokr, OFT
- **AnimateDiff** for SD 1.5
- **IP-Adapters** for SD 1.5 and SD-XL
- **InstantID**, **FaceSwap**, **FaceID**, **PhotoMerge**
- **AnimateDiff** for SD 1.5
> [!IMPORTANT]
> - Loading any model other than standard SD 1.x / SD 2.x requires use of backend **Diffusers**
@@ -101,7 +110,7 @@ Also supported are modifiers such as:
This includes support for AMD GPUs that are not supported by native ROCm libraries
- Any GPU or device compatible with **OpenVINO** libraries on both *Windows and Linux*
- *Apple M1/M2* on *OSX* using built-in support in Torch with **MPS** optimizations
- *ONNX/Olive* (experimental)
- *ONNX/Olive*
## Install
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Submodule wiki updated: 6338052c4f...ecc9b9e6eb