huggingface / huggingface/diffusers
Add aspect ratio bucketing to training scripts
Aperta
stale
- Lingua principale
- Python
- Stelle
- 34.5k
- Fork
- 7.3k
- Merge medio
- 3g 3h
- PR unite (30g)
- 91
Descrizione
**Is your feature request related to a problem? Please describe.**
When fine tuning SDXL, images are required to be a fixed size (1024x1024) which involves a lot of cropping that both takes time/resources, and often causes important parts of the image to get cropped out, which lowers model quality.
**Describe the solution you'd like.**
The ideal solution would be a simple option for user to enable aspect ratio bucketing (e.g. a command argument `--enable-bucketing`) that will let them train with multiple image sizes
Guida per i contributori
Apri la guida per i contributori
Valutazione
Questa issue non è ancora stata valutata.