Fast, few-step text-to-image generation.
Derived from
black-forest-labs/FLUX.1-schnell (Apache-2.0); repackaged by Zen.
This repository repackages Black Forest Labs FLUX.1-schnell (FluxPipeline, dual CLIP+T5 text encoders). No weights were trained from scratch by Zen.
1from diffusers import FluxPipeline
2import torch
3
4pipe = FluxPipeline.from_pretrained("zenlm/zen3-image-fast", torch_dtype=torch.bfloat16)
5pipe = pipe.to("cuda")
6image = pipe("A serene mountain landscape at sunset", num_inference_steps=4, guidance_scale=0.0).images[0]
7image.save("output.png")
Apache 2.0. This is a derivative repackaging of
FLUX.1-schnell by Black Forest Labs, released under the Apache License 2.0. All rights and attribution for the underlying model belong to the original authors.
This product includes the FLUX.1-schnell model developed by Black Forest Labs, licensed under the Apache License 2.0.
