kohya-ss / kohya-ss/sd-scripts
Does BOFT-training switch to float32?
- Dominant language
- Python
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Description
Based on the training speed, sample generation speed, and final file size compared to Diag-OFT, it appears that BOFT-training has switched to float32. Is there a possibility to implement mixed precision?
Contributor guide
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Research direction
Start by locating the BOFT-training and Diag-OFT training entry points, then compare how each path selects numeric precision. Check the existing training configuration and precision-related tests or examples, if present, to establish the expected mixed-precision behavior. Done means BOFT training supports the agreed precision mode without regressing generation speed or output compatibility.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100