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/bucket_ali.png from alimama-creative/SD3-Controlnet-Inpainting: direct link, hf CLI and curl.
- Browser
- Download file 3.94 MB
-
https://huggingface.co/alimama-creative/SD3-Controlnet-Inpainting/resolve/main/images/bucket_ali.png
- Command line
-
hf download hf://alimama-creative/SD3-Controlnet-Inpainting/images/bucket_ali.png
-
curl -L -o bucket_ali.png https://huggingface.co/alimama-creative/SD3-Controlnet-Inpainting/resolve/main/images/bucket_ali.png
3.94 MB

- Xet hash:
- 9185a5537460ef0a5bf8259eed69c6e6bc8f86c8029d1015e0f6f9fcc40cadf9
- Size of remote file:
- 3.94 MB
- SHA256:
- acd723bf3a6fdcf797820b2699faa47e3e4541b5c12d92a3f285a9dcf524edd2
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