kohya-ss / kohya-ss/sd-scripts

Does BOFT-training switch to float32?

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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

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