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:
- 0edf8ae3bcc897bc0bad059d7a1a0396b896a695289687dc4eb380b256d0775b
- Size of remote file:
- 7.02 GB
- SHA256:
- 078014d2529e3c692107df3b4a42035b44bc851d8a48bf528dc4db06f52f1ff0
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