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
Commit History
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Upload new bugfix-1 version of depth ControlNet
6e82e91 -
Add converted shuffle model. This varies a little from the official version because of the extra "global_average_pooling" config option.
ae01277
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A few more - normal, scribble, seg, softedge
be4ca16 -
Add canny
38672be -
Add converted pose model and initial readme
34dfa8a
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initial commit
635774b