Instructions to use city96/Flux.1-Heavy-17B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use city96/Flux.1-Heavy-17B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("city96/Flux.1-Heavy-17B", 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:
- 0c9a7a5061b89a011756b5fa1dae54a7effe4fec6abc6d0e0168c15eabf5aaf0
- Size of remote file:
- 1.13 MB
- SHA256:
- 73753481c23e05263b8e3b2bf5ea8d46256d4838be4ac71456dc65941a15b9af
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