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update changelog
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@@ -2,9 +2,11 @@
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## Update for 2023-09-29
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**TBD**: Planned before release:
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**TBD**: Candidates before release:
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- Integrate LoRA/Lyco for *backend:original*
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- Add FreeU for *backend:diffusers*
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- Add HAT upscaler
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- Switch Diffusers prompt parser
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This is a big one, with some major changes and new functionality...
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And probably the biggest release since introduction of **Diffusers**
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@@ -44,9 +46,7 @@ Upgrades are still possible and supported, but above is recommended for best exp
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- refactored subfolder handling
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*note*: this will trigger model hash recaclulation on first model use
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- **Diffusers**:
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- better pipeline auto-detect when loading from safetensors
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also, new setting: *settings -> diffusers -> force inpaint*
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as some models behave better when in *inpaint* mode even for normal *img2img* tasks
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- better pipeline **auto-detect** when loading from safetensors
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- **SDXL Inpaint**
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- Although any model can be used for inpainiting, there is a case to be made for
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dedicated inpainting models as they are tuned to inpaint and not generate
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@@ -64,12 +64,15 @@ Upgrades are still possible and supported, but above is recommended for best exp
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To download go to *Models -> Huggingface*:
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- `stabilityai/sd-x2-latent-upscaler` *(2.2GB)*
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- `stabilityai/stable-diffusion-x4-upscaler` *(1.7GB)*
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- better **Hires** support for SD and SDXL
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- better **TI embeddings** support for SD and SDXL
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faster loading, wider compatibility and support for embeddings with multiple vectors
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information about used embedding is now also added to image metadata
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thanks @AI-Casanova
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- better **Lora** handling
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thanks @AI-Casanova
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- new setting: *settings -> diffusers -> force inpaint*
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as some models behave better when in *inpaint* mode even for normal *img2img* tasks
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- **Upscalers**:
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- fix long outstanding memory leak in legacy code, amazing this went undetected for so long
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- more high quality upscalers available by default
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