Text-to-Image
Diffusers
ONNX
OnnxStableDiffusionPipeline
unpaint
stable_diffusion_model
stable-diffusion
Instructions to use axodoxian/stable_diffusion_onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use axodoxian/stable_diffusion_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_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
- Draw Things
- DiffusionBee
This is a Microsoft Olive optimized ONNX version of the model found here: https://huggingface.co/runwayml/stable-diffusion-v1-5
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