update readme and screenshots and add themes wiki
@@ -2,18 +2,14 @@
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## TODO Future
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- ipadapter multi image
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- control second pass
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- multi-ipadapter: https://github.com/huggingface/diffusers/pull/6573
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- control second pass: https://github.com/vladmandic/automatic/issues/2783
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- diffusers public callbacks
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- image2video: pia and vgen pipelines
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- video2video
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- wuerstchen v3 [pr](https://github.com/huggingface/diffusers/pull/6487)
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- more pipelines: <https://github.com/huggingface/diffusers/blob/main/examples/community/README.md>
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- segmoe lora
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- control api
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- masking api
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- preprocess api
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- diffusers training master script
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- remove kohya from submodules
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- bind panZoom to control input
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@@ -51,7 +47,11 @@ As of this release, default backend is set to **diffusers** as its more feature
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## Update for 2023-02-05
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- Heavily updated [Wiki](https://github.com/vladmandic/automatic/wiki)
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- **Control**:
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- new docs:
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- [Control overview](https://github.com/vladmandic/automatic/wiki/Control)
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- [Control guide](https://github.com/vladmandic/automatic/wiki/Control-Guide), thanks @Aptronymist
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- add **inpaint** support
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applies to both *img2img* and *controlnet* workflows
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- add **outpaint** support
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@@ -38,9 +38,16 @@ All individual features are not listed here, instead check [ChangeLog](CHANGELOG
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<br>
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*Main text2image interface*:
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*Control interface*:
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*Color grading*:
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For screenshots and informations on other available themes, see [Themes Wiki](https://github.com/vladmandic/automatic/wiki/Themes)
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<br>
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@@ -48,13 +55,13 @@ All individual features are not listed here, instead check [ChangeLog](CHANGELOG
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**SD.Next** supports two main backends: *Original* and *Diffusers*:
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- **Diffusers**: Based on new [Huggingface Diffusers](https://huggingface.co/docs/diffusers/index) implementation
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Supports *original* SD models as well as *all* models listed below
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See [wiki article](https://github.com/vladmandic/automatic/wiki/Diffusers) for more information
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- **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)
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This is the default backend and it is fully compatible with all existing functionality and extensions
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Supports **SD 1.x** and **SD 2.x** models
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All other model types such as *SD-XL, LCM, PixArt, Segmind, Kandinsky, etc.* require backend **Diffusers**
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- **Diffusers**: Based on new [Huggingface Diffusers](https://huggingface.co/docs/diffusers/index) implementation
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Supports *original* SD models as well as *all* models listed below
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See [wiki article](https://github.com/vladmandic/automatic/wiki/Diffusers) for more information
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## Model support
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@@ -67,6 +74,7 @@ Additional models will be added as they become available and there is public int
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- [aMUSEd 256](https://huggingface.co/amused/amused-256) 256 and 512
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- [Segmind Vega](https://huggingface.co/segmind/Segmind-Vega)
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- [Segmind SSD-1B](https://huggingface.co/segmind/SSD-1B)
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- [Segmind SegMoE](https://github.com/segmind/segmoe) *SD and SD-XL*
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- [Kandinsky](https://github.com/ai-forever/Kandinsky-2) *2.1 and 2.2 and latest 3.0*
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- [PixArt-α XL 2](https://github.com/PixArt-alpha/PixArt-alpha) *Medium and Large*
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- [Warp Wuerstchen](https://huggingface.co/blog/wuertschen)
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@@ -79,10 +87,11 @@ Additional models will be added as they become available and there is public int
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Also supported are modifiers such as:
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- **LCM** and **Turbo** (Adversarial Diffusion Distillation) networks
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- **LCM** and **Turbo** (*adversarial diffusion distillation*) networks
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- All **LoRA** types such as LoCon, LyCORIS, HADA, IA3, Lokr, OFT
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- **AnimateDiff** for SD 1.5
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- **IP-Adapters** for SD 1.5 and SD-XL
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- **InstantID**, **FaceSwap**, **FaceID**, **PhotoMerge**
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- **AnimateDiff** for SD 1.5
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> [!IMPORTANT]
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> - Loading any model other than standard SD 1.x / SD 2.x requires use of backend **Diffusers**
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@@ -101,7 +110,7 @@ Also supported are modifiers such as:
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This includes support for AMD GPUs that are not supported by native ROCm libraries
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- Any GPU or device compatible with **OpenVINO** libraries on both *Windows and Linux*
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- *Apple M1/M2* on *OSX* using built-in support in Torch with **MPS** optimizations
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- *ONNX/Olive* (experimental)
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- *ONNX/Olive*
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## Install
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