---
license: mit
pipeline_tag: text-to-image
tags:
  - onnx
  - text-to-image
inference: false
---

## Model Descriptions:

This repo contains ONNX model files for [madebyollin's Tiny AutoEncoder for Stable Diffusion](https://huggingface.co/madebyollin/taesd).

## Using in 🧨 diffusers

To install the requirements for this demo, do pip install optimum["onnxruntime"]. 

```python
from huggingface_hub import snapshot_download
from diffusers.pipelines import OnnxRuntimeModel
from optimum.onnxruntime import ORTStableDiffusionPipeline

model_id = "CompVis/stable-diffusion-v1-4"

taesd_dir = snapshot_download(repo_id="deinferno/taesd-onnx")

pipeline = ORTStableDiffusionPipeline.from_pretrained(
        model_id,
        vae_decoder_session = OnnxRuntimeModel.from_pretrained(f"{taesd_dir}/vae_decoder"),
        vae_encoder_session = OnnxRuntimeModel.from_pretrained(f"{taesd_dir}/vae_encoder"),
        revision="onnx")

prompt = "sailing ship in storm by Leonardo da Vinci"
image = pipeline(prompt).images[0]
image.save("result.png")
```