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 text_encoder_2/openvino_model.bin from stabilityai/stable-diffusion-xl-base-1.0: direct link, hf CLI and curl.
- Browser
- Download file 2.78 GB
-
https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/text_encoder_2/openvino_model.bin
- Command line
-
hf download hf://stabilityai/stable-diffusion-xl-base-1.0/text_encoder_2/openvino_model.bin
-
curl -L -o openvino_model.bin https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/text_encoder_2/openvino_model.bin
2.78 GB
- Xet hash:
- f55a7694a2feee348fda8d63d8f6d281daf518efe72760bbdbdec1d17c642f12
- Size of remote file:
- 2.78 GB
- SHA256:
- 549d05154b0c09d46226f85abd48552f0ef999af4f24a95b3fb62d5e7d059570
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.