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
- Xet hash:
- e32214f8087ba250699c8d4df0f07475e0f1c95d19bf9942822c8c7c0bef39e8
- Size of remote file:
- 2.24 GB
- SHA256:
- 4c22ff0d92562c4504dd9545ef0c0cb805d3a786f2c0e821662a5c0b82a4e255
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