Instructions to use stabilityai/stable-diffusion-3.5-large-controlnet-canny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-diffusion-3.5-large-controlnet-canny with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("stabilityai/stable-diffusion-3.5-large-controlnet-canny") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Brian Fitzgerald commited on
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Update result image and README
Browse files- README.md +1 -1
- sample_cond.png +3 -0
README.md
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and then you can run
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```
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python sd3_infer.py --controlnet_ckpt models/canny_8b.safetensors --controlnet_cond_image sample_cond.png --prompt "An adorable fluffy pastel creature"
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```
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Which should give you an image like below:
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and then you can run
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```
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python sd3_infer.py --controlnet_ckpt models/canny_8b.safetensors --controlnet_cond_image input/sample_cond.png --prompt "An adorable fluffy pastel creature"
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```
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Which should give you an image like below:
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sample_cond.png
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Git LFS Details
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