Instructions to use alimama-creative/SD3-Controlnet-Softedge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alimama-creative/SD3-Controlnet-Softedge 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-Softedge", 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 images/im2_2.webp from alimama-creative/SD3-Controlnet-Softedge: direct link, hf CLI and curl.
- Browser
- Download file 43.8 kB
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https://huggingface.co/alimama-creative/SD3-Controlnet-Softedge/resolve/main/images/im2_2.webp
- Command line
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hf download hf://alimama-creative/SD3-Controlnet-Softedge/images/im2_2.webp
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curl -L -o im2_2.webp https://huggingface.co/alimama-creative/SD3-Controlnet-Softedge/resolve/main/images/im2_2.webp
43.8 kB
