Instructions to use fhai50032/flux-controlnet-1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fhai50032/flux-controlnet-1000 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fhai50032/flux-controlnet-1000", 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:
- ec365f4e1824eb43f9a6822a5dec9eff2025d30b5a0c9081819fd89412f04bc5
- Size of remote file:
- 5.36 MB
- SHA256:
- 4cff7e7f3f191c813e66fd72ad5cb44413f9d0539cb4ccf4994e4f6d2bf0b29b
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