Instructions to use unsloth/FLUX.1-schnell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use unsloth/FLUX.1-schnell with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("unsloth/FLUX.1-schnell", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download schnell_grid.jpeg from unsloth/FLUX.1-schnell: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
-
https://huggingface.co/unsloth/FLUX.1-schnell/resolve/main/schnell_grid.jpeg
- Command line
-
hf download hf://unsloth/FLUX.1-schnell/schnell_grid.jpeg
-
curl -L -o schnell_grid.jpeg https://huggingface.co/unsloth/FLUX.1-schnell/resolve/main/schnell_grid.jpeg
1.67 MB

- Xet hash:
- 77b9ea370338a76ccedd33456e0c825b53152744eed135a7aad410f8ff0777de
- Size of remote file:
- 1.67 MB
- SHA256:
- 5bff488da88933a529825e4fd72e10c3824e22508dc1d6f36b49850fa517ac44
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