lllyasviel / lllyasviel/stable-diffusion-webui-forge
Issue only with any type of Flux models
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- Dominant language
- Python
- Stars
- 13k
- Forks
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Description
I´m trying to make images with Flux models: Unet, Checkpoints, trained, originals, and always have a warning. I always set 10000 Mb or less for GPU weights, leaving at least 2000 mb free for calculations (I have a Nvidia 3060 12Gb VRAM). Early versions of Forge for Flux worked fine, but now Forge always sees a few Mb free for calculations, no matter if I lower the GPU weigth value and the iteration gets stuck, at last only one image is made very slowly.
I tested Forge with Sd1.5 models and performs fine. It gets dizzy about free memory only with Flux
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Research direction
No source files or tests are named. Start by reproducing generation with Flux and SD1.5 models on the reported Nvidia 3060 setup, then inspect how GPU memory available for calculations is detected and reported. Done means Flux generation no longer falsely reports insufficient memory or becomes stuck after one image.
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Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100