huggingface / huggingface/diffusers

PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator

Abierto
#7,255 7 comentarios 1 reacción 0 asignados Ver en GitHub
community-examples contributions-welcome Good second issue
Lenguaje dominante
Python
Estrellas
34.5k
Forks
7.3k
Merge medio
3 d 3 h
PR fusionados (30 d)
91

Descripción

### Model/Pipeline/Scheduler description

A competitor of LCM-Lora, with higher generation quality and consistency regardless number of steps

Project page: https://piecewise-rectified-flow.github.io/
Github: https://github.com/magic-research/piecewise-rectified-flow/tree/main

### Open source status

- [X] The model implementation is available.
- [X] The model weights are available (Only relevant if addition is not a scheduler).

### Provide useful links for the implementation

Maybe we can add the new scheduler to Diffusers

Guía de contribución

Abrir la guía de contribución

Línea de trabajo

Start with the PeRFlow project page and linked model implementation, then compare its scheduler requirements with the existing Diffusers scheduler conventions. The issue names no Diffusers files or tests; done would require a reviewed scheduler addition with validation against the available implementation and weights.

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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