huggingface / huggingface/diffusers
Dynamic thresholding (full)
- 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