Tested Guidance Loss: good for style transfer but underperforms vs Wan
bdsqlsz · x · 2026-08-20
The author tested Guidance Loss in image editing LoRA training with the following findings:
- Usability: Guidance Loss is difficult to use.
- Performance: It does not perform as well as the Wan method in this regard.
- Use Case: It is more suitable for training style transfer and editing models, not for content generation.
- Context: This follows Kohyass merging MiniMax H3 image editing LoRA training features into the Musubi Tuner dev branch.
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