Instructions to use diffusers/FLUX.1-Canny-dev-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/FLUX.1-Canny-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-Canny-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:
- 5cae6007317fdec3b90562ff82696d0a22113e1dac4410c9a5483049b615695d
- Size of remote file:
- 6.7 GB
- SHA256:
- ea26d9f5c75c0316beefe17b3748dbaf579876a64873aedb85527c163b83e80d
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