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/1.png from alimama-creative/SD3-Controlnet-Inpainting: direct link, hf CLI and curl.
- Browser
- Download file 6.05 MB
-
https://huggingface.co/alimama-creative/SD3-Controlnet-Inpainting/resolve/main/images/1.png
- Command line
-
hf download hf://alimama-creative/SD3-Controlnet-Inpainting/images/1.png
-
curl -L -o 1.png https://huggingface.co/alimama-creative/SD3-Controlnet-Inpainting/resolve/main/images/1.png
6.05 MB

- Xet hash:
- a179351dd652402a00ecac375266b1c289e77edbcd4397fba06da01acda08b0f
- Size of remote file:
- 6.05 MB
- SHA256:
- 7add8b1cfaf240d1ab14303b3be70a090e0da3aafe95d09a1d61addeb075e20b
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