Instructions to use diffusers/FLUX.1-Fill-dev-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/FLUX.1-Fill-dev-nf4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/FLUX.1-Fill-dev-nf4", 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

- Xet hash:
- d2912e0cfe12c4a33a150b57e2ad6d9504cb1f55834b0b2b538207612eef95d4
- Size of remote file:
- 2.31 MB
- SHA256:
- a8daea056541ef75813949602ab7401df4f79bcefcd70df1c00dcdb3ac0c9a3a
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