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_encoder/model.onnx from stabilityai/stable-diffusion-3-medium_amdgpu: direct link, hf CLI and curl.
- Browser
- Download file 68.6 MB
-
https://huggingface.co/stabilityai/stable-diffusion-3-medium_amdgpu/resolve/main/stable-diffusion-3-medium_io16/vae_encoder/model.onnx
- Command line
-
hf download hf://stabilityai/stable-diffusion-3-medium_amdgpu/stable-diffusion-3-medium_io16/vae_encoder/model.onnx
-
curl -L -o model.onnx https://huggingface.co/stabilityai/stable-diffusion-3-medium_amdgpu/resolve/main/stable-diffusion-3-medium_io16/vae_encoder/model.onnx
68.6 MB
- Xet hash:
- 85123cbc181c50b680d6336276e5c6ad9aa73c6622b9f5a0187805cb6a79fd0b
- Size of remote file:
- 68.6 MB
- SHA256:
- 2700c53e5cf995c8d4245770c876d223b4046c18f13f533b45db5224ed52d382
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