huggingface / huggingface/diffusers

[Schedulers] Add methods for conversion between noise and denoised predictions

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scheduler stale
Langage dominant
Python
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Forks
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Merge moyen
3 j 3 h
PR mergées (30 j)
91

Description

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.

Guide de contribution

Ouvrir le guide de contribution

Piste de recherche

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.

Rédigé par le modèle d'indexation à partir du texte de l'issue.

Évaluation

Stack technique
python, pytorch
Domaine
machine-learning
Type d'issue
Fonctionnalité
Difficulté
5/5
Temps estimé
Plus d'une semaine
Activité
À l'abandon
Clarté
Plutôt claire
Accessibilité débutants
25/100

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