Instructions to use stabilityai/sdxl-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/sdxl-turbo 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/sdxl-turbo", 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/model.onnx from stabilityai/sdxl-turbo: direct link, hf CLI and curl.
- Browser
- Download file 1.04 MB
-
https://huggingface.co/stabilityai/sdxl-turbo/resolve/ef0d007d296a24f621ab6d376e7055eb6116877b/text_encoder_2/model.onnx
- Command line
-
hf download hf://stabilityai/sdxl-turbo@ef0d007d296a24f621ab6d376e7055eb6116877b/text_encoder_2/model.onnx
-
curl -L -o model.onnx https://huggingface.co/stabilityai/sdxl-turbo/resolve/ef0d007d296a24f621ab6d376e7055eb6116877b/text_encoder_2/model.onnx
1.04 MB
- Xet hash:
- 625fe11f91ea8cbe40357c78d6d6f64d815ddf0ddae52886a2cf92c49da858f1
- Size of remote file:
- 1.04 MB
- SHA256:
- 03856bf14b5d23b17eae141648ef98652e0a6d01b37c2fbb3fc0af5e9a1aff34
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