|
Download README.md from TensorForger/StreamRefractor: direct link, hf CLI and curl.
- Browser
- Download file 710 Bytes
-
https://huggingface.co/TensorForger/StreamRefractor/resolve/main/README.md
- Command line
-
hf download hf://TensorForger/StreamRefractor/README.md
-
curl -L -o README.md https://huggingface.co/TensorForger/StreamRefractor/resolve/main/README.md
710 Bytes
metadata
license: unlicense
tags:
- flux2
- flux
- video-to-video
- stream-to-stream
- diffusion
- flow-matching
- rectified-flow
- generative-models
- image-generation
- pytorch
library_name: pytorch
pipeline_tag: video-to-video
Stream Refractor
Stream Refractor is an experimental "Stream2Stream" model that edits input video stream in real-time according to edit refernce produced by large image editing model (e.g. Flux.2-klein)
It is a Rectified Flow model with 0.6B parameters that generates each latent block of frames in a few diffusion steps.