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Model Details
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zenlm
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black-forest-labs/FLUX.1-schnell
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Output Modalities
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This repository repackages Black Forest Labs FLUX.1-schnell (FluxPipeline, dual CLIP+T5 text encoders). No weights were trained from scratch by Zen.
Developed/repackaged by Hanzo AI and the Zoo Labs Foundation.
python
from diffusers import FluxPipelineimport torchpipe = FluxPipeline.from_pretrained("zenlm/zen3-image-fast", torch_dtype=torch.bfloat16)pipe = pipe.to("cuda")image = pipe("A serene mountain landscape at sunset", num_inference_steps=4, guidance_scale=0.0).images[0]image.save("output.png")
| Attribute | Value |
|---|---|
| Base model | black-forest-labs/FLUX.1-schnell |
| Pipeline | FluxPipeline |
| License | Apache 2.0 |
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.