kohya-ss / kohya-ss/sd-scripts
Possible additon of quantization or Nfloat4 for lower vram (Same quality as fp8/bf16)
Open
enhancement
- Dominant language
- Python
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- Merged PRs (30d)
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Description
I tested nfloat4 quite a bit on onetrainer, and the results are basically the the same as sd scripts, but almost 9gb vram less.
I was wondering if its possible for you to implement it on your script?
Thank you!
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Research direction
The issue does not name files, tests, or an entry point. Start by comparing nfloat4 support in OneTrainer with the existing quantization paths in sd-scripts, then define how equivalent quality and the claimed VRAM reduction would be measured before implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100