Instructions to use stabilityai/stable-diffusion-3-medium_amdgpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-diffusion-3-medium_amdgpu with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium_amdgpu", 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 sample.png from stabilityai/stable-diffusion-3-medium_amdgpu: direct link, hf CLI and curl.
- Browser
- Download file 1.4 MB
-
https://huggingface.co/stabilityai/stable-diffusion-3-medium_amdgpu/resolve/main/sample.png
- Command line
-
hf download hf://stabilityai/stable-diffusion-3-medium_amdgpu/sample.png
-
curl -L -o sample.png https://huggingface.co/stabilityai/stable-diffusion-3-medium_amdgpu/resolve/main/sample.png
1.4 MB

- Xet hash:
- fca2de6af58b71c1870870e5a0dbd4dd75dca17c1ae9d2a21c00fcde7641d7f0
- Size of remote file:
- 1.4 MB
- SHA256:
- 7c44ab74a9945496418a81b42437b8fea8e12732a0ddd8b87f3cefe143bc381f
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