huggingface / huggingface/diffusers

Dynamic thresholding (full)

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#4,497 10 commentaires 0 réactions 0 personnes assignées Voir sur GitHub
contributions-welcome stale
Langage dominant
Python
Étoiles
34.5k
Forks
7.3k
Merge moyen
3 j 3 h
PR mergées (30 j)
91

Description

**Is your feature request related to a problem? Please describe.**
I am trying to increase the variety and quality of my results

**Describe the solution you'd like**
I would like dynamic thresholding implemented

**Describe alternatives you've considered**
Doing it myself, paying someone better than to do it or giving up

**Additional context**
here's the repo: https://github.com/mcmonkeyprojects/sd-dynamic-thresholding/tree/master
here's the relevant code: https://github.com/mcmonkeyprojects/sd-dynamic-thresholding/blob/master/dynthres_core.py
code is short too. less than 200 lines.

Guide de contribution

Ouvrir le guide de contribution

Piste de recherche

Start with the linked dynthres_core.py and compare its behavior with the Diffusers implementation to identify the relevant pipeline entry point. Done means full dynamic thresholding is integrated into Diffusers and its image-generation behavior is validated.

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
À clarifier
Accessibilité débutants
25/100

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