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https://github.com/vladmandic/automatic
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update requirements and notes
Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
+7
-2
@@ -29,13 +29,13 @@
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style-aligned applies selected attention layers uniformly to all images to achive consistency
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can be used with or without input image in which case first prompt is used to establish baseline
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*note:* all prompts are processes as a single batch, so vram is limiting factor
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- **OpenVINO**: update to 2024.5.0
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### UI and workflow improvements
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- **LoRA** handler rewrite:
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- LoRA weights are no longer calculated on-the-fly during model execution, but are pre-calculated at the start
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this results in perceived overhead on generate startup, but results in overall faster execution as LoRA does not need to be processed on each step
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thanks @AI-Casanova
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- *note*: LoRA weights backups are required so LoRA can be unapplied, but can take quite a lot of system memory
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if you know you will not need to unapply LoRA, you can disable backups in *settings -> networks -> lora fuse*
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in which case, you need to reload model to unapply LoRA
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@@ -51,6 +51,7 @@
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- faster and more compatible *balanced* mode
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- balanced offload: units are now in percentage instead of bytes
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- balanced offload: add both high and low watermark
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*note*: balanced offload is recommended method for offload when using any large models such as sd35 or flux
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- **UI**:
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- improved stats on generate completion
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- improved live preview display and performance
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@@ -60,7 +61,11 @@
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- control: optionn to hide input column
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- control: add stats
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- browser -> server logging framework
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- add addtional themes: `black-reimagined`
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- add addtional themes: `black-reimagined`, thanks @Artheriax
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### Updates
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- **OpenVINO**: update to 2024.5.0
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- **Sampler** improvements
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- Euler FlowMatch: add sigma methods (*karras/exponential/betas*)
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- DPM FlowMatch: update all and add sigma methods
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@@ -9,7 +9,8 @@ Main ToDo list can be found at [GitHub projects](https://github.com/users/vladma
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- Flux IPAdapter: <https://github.com/huggingface/diffusers/issues/9825>
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- Flux NF4: <https://github.com/huggingface/diffusers/issues/9996>
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- SANA: <https://github.com/huggingface/diffusers/pull/9982>
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- LTX-Video: <https://huggingface.co/Lightricks/LTX-Video> <https://huggingface.co/spaces/Lightricks/LTX-Video-Playground/tree/main>
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- LTX-Video: <https://github.com/huggingface/diffusers/pull/10021> <https://huggingface.co/Lightricks/LTX-Video> <https://huggingface.co/spaces/Lightricks/LTX-Video-Playground/tree/main>
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- TorchAO: <https://github.com/huggingface/diffusers/pull/10009>
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## Other
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+1
-1
@@ -52,7 +52,7 @@ numba==0.59.1
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protobuf==4.25.3
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pytorch_lightning==1.9.4
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tokenizers==0.20.3
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transformers==4.46.2
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transformers==4.46.3
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urllib3==1.26.19
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Pillow==10.4.0
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timm==0.9.16
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