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:
- 4ae6bae893069288258fcf70f5ecfb7fdd3dc7c5635d5bf9d76ba43200aa1ce6
- Size of remote file:
- 1.36 MB
- SHA256:
- 1615b3125ba08d45e1373b45c24809bf0df3a2cc0e6f9267802b81880789843a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.