huggingface / huggingface/diffusers

Dynamic thresholding (full)

Abierto
#4,497 10 comentarios 0 reacciones 0 asignados Ver en GitHub
contributions-welcome stale
Lenguaje dominante
Python
Estrellas
34.5k
Forks
7.3k
Merge medio
3 d 3 h
PR fusionados (30 d)
91

Descripción

**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.

Guía de contribución

Abrir la guía de contribución

Línea de trabajo

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.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
python, pytorch
Área
machine-learning
Tipo de issue
Nueva funcionalidad
Dificultad
5/5
Tiempo estimado
Más de una semana
Estado de actividad
Estancado
Claridad
Necesita aclaración
Aptitud para principiantes
25/100

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