Instructions to use nunchaku-ai/nunchaku-flux.1-schnell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nunchaku-ai/nunchaku-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("nunchaku-ai/nunchaku-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
- Xet hash:
- 3a8715fd56ed483280fccd5d9db76eef85ce4d6f6eae630dc7aa2b6f38464c98
- Size of remote file:
- 6.75 GB
- SHA256:
- 187567fc6ee5dc3b644d24ebbf9c75e4e92ed3a1beef26316c67b7c660c23af3
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