Instructions to use halffried/gyre_controlnet_11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use halffried/gyre_controlnet_11 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("halffried/gyre_controlnet_11", 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
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Download README.md from halffried/gyre_controlnet_11: direct link, hf CLI and curl.
- Browser
- Download file 446 Bytes
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https://huggingface.co/halffried/gyre_controlnet_11/resolve/main/README.md
- Command line
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hf download hf://halffried/gyre_controlnet_11/README.md
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curl -L -o README.md https://huggingface.co/halffried/gyre_controlnet_11/resolve/main/README.md
446 Bytes
Just a mirror of https://huggingface.co/lllyasviel/ControlNet-v1-1/ converted into Diffusers structure and SafeTensors format with diffusers/scripts/convert_original_controlnet_to_diffusers.py
This mirror is temporary (will be removed if/when official Diffusers weights are released)
No License provided on the original models. ControlNet 1.0 models are "The CreativeML OpenRAIL M license". Will update (or remove) once license is clarified.