Instructions to use amd/stable-diffusion-xl-1.0_io32_amdgpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use amd/stable-diffusion-xl-1.0_io32_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("amd/stable-diffusion-xl-1.0_io32_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 sampleImg-sdxl.png from amd/stable-diffusion-xl-1.0_io32_amdgpu: direct link, hf CLI and curl.
- Browser
- Download file 2.17 MB
-
https://huggingface.co/amd/stable-diffusion-xl-1.0_io32_amdgpu/resolve/main/sampleImg-sdxl.png
- Command line
-
hf download hf://amd/stable-diffusion-xl-1.0_io32_amdgpu/sampleImg-sdxl.png
-
curl -L -o sampleImg-sdxl.png https://huggingface.co/amd/stable-diffusion-xl-1.0_io32_amdgpu/resolve/main/sampleImg-sdxl.png
2.17 MB

- Xet hash:
- 754b6d66ab5ad3aa6284c69cdc2cb51bfdea6f79dca6c2340fc5156215cf1458
- Size of remote file:
- 2.17 MB
- SHA256:
- 3b6b49629891d5d42293ee83f36666e2dd1093b8d5a590b73b2addb126c6f243
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.