Instructions to use kujiale-ai/controlnet-layout with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kujiale-ai/controlnet-layout with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kujiale-ai/controlnet-layout", 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
Download examples/kitchen_output.jpg from kujiale-ai/controlnet-layout: direct link, hf CLI and curl.
- Browser
- Download file 72.8 kB
-
https://huggingface.co/kujiale-ai/controlnet-layout/resolve/main/examples/kitchen_output.jpg
- Command line
-
hf download hf://kujiale-ai/controlnet-layout/examples/kitchen_output.jpg
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curl -L -o kitchen_output.jpg https://huggingface.co/kujiale-ai/controlnet-layout/resolve/main/examples/kitchen_output.jpg
72.8 kB
