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:
- 0b0ba331512b95c71c89198cedbea71a6ae80a08ab73d60d9c03e06fa70c39ec
- Size of remote file:
- 34.3 GB
- SHA256:
- ed24b0678a01d661821584a3e89fe68d80f4c6d8783de68d36131a2af0f68b0e
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