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feat: add performance lightning with 4 step LoRA (#2415)

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* feat: add performance sdxl lightning

based on https://huggingface.co/ByteDance/SDXL-Lightning/blob/main/sdxl_lightning_4step_lora.safetensors

* feat: add method for centralized restriction of features for specific performance modes

* feat: add lightning preset
This commit is contained in:
Manuel Schmid
2024-03-10 14:34:48 +01:00
committed by GitHub
parent b6e4bb86f4
commit 25650b4bc4
5 changed files with 92 additions and 3 deletions
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webui.py
+3 -3
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@@ -526,9 +526,9 @@ with shared.gradio_root:
model_refresh.click(model_refresh_clicked, [], [base_model, refiner_model] + lora_ctrls,
queue=False, show_progress=False)
performance_selection.change(lambda x: [gr.update(interactive=x != flags.Performance.EXTREME_SPEED.value)] * 11 +
[gr.update(visible=x != flags.Performance.EXTREME_SPEED.value)] * 1 +
[gr.update(interactive=x != flags.Performance.EXTREME_SPEED.value, value=x == flags.Performance.EXTREME_SPEED.value, )] * 1,
performance_selection.change(lambda x: [gr.update(interactive=not flags.Performance.has_restricted_features(x))] * 11 +
[gr.update(visible=not flags.Performance.has_restricted_features(x))] * 1 +
[gr.update(interactive=not flags.Performance.has_restricted_features(x), value=flags.Performance.has_restricted_features(x))] * 1,
inputs=performance_selection,
outputs=[
guidance_scale, sharpness, adm_scaler_end, adm_scaler_positive,