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
Download unet/model.onnx_data from stabilityai/stable-diffusion-xl-base-1.0: direct link, hf CLI and curl.
- Browser
- Download file 10.3 GB
-
https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/unet/model.onnx_data
- Command line
-
hf download hf://stabilityai/stable-diffusion-xl-base-1.0/unet/model.onnx_data
-
curl -L -o model.onnx_data https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/unet/model.onnx_data
10.3 GB
- Xet hash:
- 9142f7ed682006e64a8fbdfbcc78feda893f692cafdb9513af1bbb682479e55e
- Size of remote file:
- 10.3 GB
- SHA256:
- 7905b71f0044c5ea8fea8ca0451bd73cad53492ad50f964c49c3ff9250afa350
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