Instructions to use XLabs-AI/flux-controlnet-collections with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XLabs-AI/flux-controlnet-collections with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("XLabs-AI/flux-controlnet-collections", 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:
- 52cd067f1b425f427128d1daed152d24f3550b54bf810a5833272f12918a152d
- Size of remote file:
- 1.49 GB
- SHA256:
- 4522bc08aa6e5e2a933d77e806f4883dd8030d409c75d79c486e4d281be323d3
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