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 stable-diffusion-3-medium_io16/vae_decoder/model.onnx from stabilityai/stable-diffusion-3-medium_amdgpu: direct link, hf CLI and curl.
- Browser
- Download file 102 MB
-
https://huggingface.co/stabilityai/stable-diffusion-3-medium_amdgpu/resolve/main/stable-diffusion-3-medium_io16/vae_decoder/model.onnx
- Command line
-
hf download hf://stabilityai/stable-diffusion-3-medium_amdgpu/stable-diffusion-3-medium_io16/vae_decoder/model.onnx
-
curl -L -o model.onnx https://huggingface.co/stabilityai/stable-diffusion-3-medium_amdgpu/resolve/main/stable-diffusion-3-medium_io16/vae_decoder/model.onnx
102 MB
- Xet hash:
- 2909e543e50686c7d9bb00888d14e07b145d712a8cf0be7faa3dd7144bd2d4be
- Size of remote file:
- 102 MB
- SHA256:
- d3fe331f4a2e886d857606277ab4f8b19f7d2bb4fcc9337349a9a8f12b9e9a9c
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