How to use from the
Use from the
Diffusers library
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]

YAML Metadata Warning:empty or missing yaml metadata in repo card

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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