lllyasviel / lllyasviel/stable-diffusion-webui-forge

automatic(fp16 lora) will fry image if fp16 flux unet used

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Python
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Description

not sure if this is a normal usecase.
use 22g flux fp16 unet, fp8 t5,
lora is https://civitai.com/models/180891/flat-color-anime?modelVersionId=738709
when using automatic(fp16 lora) in diffusion low bits, the image generated will get fried.
if i using "automatic" in diffusion low bits, the image will be good, but it's slow than above.

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Research direction

Reproduce the report with the 22G Flux fp16 UNet, fp8 T5, the linked Flat Color Anime LoRA, and both Diffusion low-bits modes. Start by tracing the code path for “automatic(fp16 lora)” and compare it with “automatic”; done means the fp16-LoRA path produces an undistorted image without the slower-mode regression.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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