Instructions to use onkarsus13/ControlNet-Stable-Diffusion-3-Medium-Mask2MRI-AMOS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use onkarsus13/ControlNet-Stable-Diffusion-3-Medium-Mask2MRI-AMOS with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("onkarsus13/ControlNet-Stable-Diffusion-3-Medium-Mask2MRI-AMOS", 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
ControlNet-Stable-Diffusion-3-Medium-Mask2MRI-AMOS / controlnet /diffusion_pytorch_model.safetensors
- Xet hash:
- 711a6c156806da460c2a0973ee9f8019cc83d42f27c04c86e2d88b3b72508031
- Size of remote file:
- 1.19 GB
- SHA256:
- c124273a9c90a43e8238910ad0af58b7e73a3e64d6df95636ac4fb8387731e0d
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