Text-to-Image
Diffusers
ONNX
ORTStableDiffusionXLPipeline
unpaint
stable_diffusion_model
stable-diffusion
Instructions to use axodoxian/stable_diffusion_xl_base_onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use axodoxian/stable_diffusion_xl_base_onnx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("axodoxian/stable_diffusion_xl_base_onnx", 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 vae_decoder/model.onnx from axodoxian/stable_diffusion_xl_base_onnx: direct link, hf CLI and curl.
- Browser
- Download file 102 MB
-
https://huggingface.co/axodoxian/stable_diffusion_xl_base_onnx/resolve/main/vae_decoder/model.onnx
- Command line
-
hf download hf://axodoxian/stable_diffusion_xl_base_onnx/vae_decoder/model.onnx
-
curl -L -o model.onnx https://huggingface.co/axodoxian/stable_diffusion_xl_base_onnx/resolve/main/vae_decoder/model.onnx
102 MB
- Xet hash:
- a3d6dda8f7044db1f7f5d9b59e90170191721433be6d3e77400934d3bd67fe6b
- Size of remote file:
- 102 MB
- SHA256:
- a7d66cfa64a27658e730d7ad0b6a4df96ea20d281321d0324d01a2536532f334
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