huggingface / huggingface/diffusers
[Schedulers] Add methods for conversion between noise and denoised predictions
- Lingua principale
- Python
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Descrizione
Guidance methods like APG (#9585 #9626) require conversion between noise and denoised predictions. The computation of these predictions varies across schedulers and depends on `prediction_type`. Currently, this is embedded in `step` functions of the schedulers which complicates implementation of APG.
Adding separate methods for conversion between noise and denoised predictions would simplify implementation and allow easier experimentation.
Guida per i contributori
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Direzione di ricerca
Start by reviewing the schedulers' step functions and their prediction_type handling, then read the APG discussions in issues #9585 and #9626. Done means the conversion logic is exposed as separate scheduler methods and supports the prediction variants needed by the guidance methods.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Valutazione
- Stack tecnologico
- python, pytorch
- Ambito
- machine-learning
- Tipo di issue
- Funzionalità
- Difficoltà
- 5/5
- Tempo stimato
- Più di una settimana
- Stato di attività
- Ferma
- Chiarezza
- Abbastanza chiara
- Idoneità per principianti
- 25/100