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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Check out the documentation for more information.
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.
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