Instructions to use alimama-creative/SD3-Controlnet-Inpainting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alimama-creative/SD3-Controlnet-Inpainting with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alimama-creative/SD3-Controlnet-Inpainting", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download images/prod.png from alimama-creative/SD3-Controlnet-Inpainting: direct link, hf CLI and curl.
- Browser
- Download file 847 kB
-
https://huggingface.co/alimama-creative/SD3-Controlnet-Inpainting/resolve/main/images/prod.png
- Command line
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hf download hf://alimama-creative/SD3-Controlnet-Inpainting/images/prod.png
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curl -L -o prod.png https://huggingface.co/alimama-creative/SD3-Controlnet-Inpainting/resolve/main/images/prod.png
847 kB
