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
Download flux-depth-controlnet_v2.safetensors from XLabs-AI/flux-controlnet-collections: direct link, hf CLI and curl.
- Browser
- Download file 1.49 GB
-
https://huggingface.co/XLabs-AI/flux-controlnet-collections/resolve/main/flux-depth-controlnet_v2.safetensors
- Command line
-
hf download hf://XLabs-AI/flux-controlnet-collections/flux-depth-controlnet_v2.safetensors
-
curl -L -o flux-depth-controlnet_v2.safetensors https://huggingface.co/XLabs-AI/flux-controlnet-collections/resolve/main/flux-depth-controlnet_v2.safetensors
1.49 GB
- Xet hash:
- 1f97ddc4a55c7aae9dd1c6172b3da36e136c68dd034a6d399e086654584bca01
- Size of remote file:
- 1.49 GB
- SHA256:
- f688fb57f7a938e6b61eacb32ad0ff814748fe01169b7faa0edcd56b9d536d99
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