Instructions to use stabilityai/stable-diffusion-xl-base-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-diffusion-xl-base-1.0 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
openvino-model (#19)
- add openvino model (4a5d77bb387b4f29293150fa79e6bdc8bad9358c) - merge main in branch (8c140d197289a47bd2f7207c3108ce96a53d6ffc) Co-authored-by: Ella Charlaix <echarlaix@users.noreply.huggingface.co>ddee3a9 -
onnx-model (#18)
- add model (e13090c13ae930dcf52991bec9e88547f0470ff9) - add ONNX model (dc95ba061194c4829e57189f357ea523b353c932) - add onnx model (be17f496d3a1ed63ceb853ba0e0a53fcf2516fbe) Co-authored-by: Ella Charlaix <echarlaix@users.noreply.huggingface.co>51f7329