stable-diffusion-webui
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[Bug]: Please do some optimisation for new Hire.Fix (specially to LDSR) on 8GB VRAM because it fails often with out of memory and eventual results still are disappointing
Is there an existing issue for this?
- [X] I have searched the existing issues and checked the recent builds/commits
What happened?
Using "old Hires.Fix" I had no problems and could generate images like 1600x1088 or 1536x1152 and "Hires.Fix" with no problems.
With new Hires.fix (no matter which upscaler I choose) I am getting "CUDA out of memory" !
Example: 768x576 => Hires.Fix Upscaler "none" Upscale by 2: (to 1536x1152) => out of memory
Most interesting will be "LDSR" :)
Steps to reproduce the problem
- Use RTX 2080 Super with 8GB VRAM
- set txt2img with: 768x576 => Hires.Fix Upscaler "none" Upscale by 2: (to 1536x1152) => out of memory
- Click generate See error: "RuntimeError: CUDA out of memory. Tried to allocate 864.00 MiB (GPU 0; 8.00 GiB total capacity; 5.70 GiB already allocated; 0 bytes free; 6.59 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF"
Happens after DDIM was successfully ready: " Downsampling from [768, 512] to [384, 256] Plotting: Switched to EMA weights Sampling with eta = 1.0; steps: 50 Data shape for DDIM sampling is (1, 3, 256, 384), eta 1.0 Running DDIM Sampling with 50 timesteps DDIM Sampler: 100%|████████████████████████████████████████████████████████████████████| 50/50 [00:31<00:00, 1.60it/s] Plotting: Restored training weights Error completing request.....CUDA error "
What should have happened?
Image should be generated without error, please fix and bring also "old Hires.fix" as additional option (it was working just fine in some cases)
If I manage to upscale I a little bit (without out of memory) the results are disappointing in comparison to the old version! So in current state it can not be used in production as IMHO is a downgrade (not working or still doubled objects/parts).
I would be happy to see old one again as option.
Commit where the problem happens
3fa0cd23ddacdb348e672c98c07d0d08c6f61c32
What platforms do you use to access UI ?
No response
What browsers do you use to access the UI ?
No response
Command Line Arguments
--xformers
Additional information, context and logs
No response
Current implementation is useless for me because of to resource hungry processes.
same here. Hires.fix went from 10 sec to 3 min proccecing time often ending in out of memory errors
FYI. There is a workaround. Generate your images in low res, and then a batch img2img in the high res. ;-)
Same issue here. Hires fix giving CUDA out of memory a lot now (rtx 3070 8gb), sometimes it works fine doing 1024x768 even but usually not, even 768x512 usually fails.
FYI. There is a workaround. Generate your images in low res, and then a batch img2img in the high res. ;-) I know, but That is not a fix for Hires.Fix
Yeah but that doesn't really help my use case, I'm running into this issue using the multi-subject-render extension/script which uses Hirex.Fix during processing, that's where I keep running out of VRAM
Please close this ticket and do https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/6725