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---
license: openrail++
language:
- en
tags:
- stablediffusion
- openvino
---
HyperSD 1-step LoRA baked-in model converted to OpenVINO(int8) and weights compressed with NNCF(10GB to 4.4GB).
Original Model : [Hyper-SD](https://huggingface.co/ByteDance/Hyper-SD)
You can use this model with [FastSD CPU](https://github.com/rupeshs/fastsdcpu).
To run the model yourself, you can leverage the 🧨 Diffusers library:
1. Install the dependencies:
```
pip install optimum-intel openvino diffusers onnx
```
2. Run the model:
```py
from optimum.intel.openvino.modeling_diffusion import OVStableDiffusionXLPipeline
pipeline = OVStableDiffusionXLPipeline.from_pretrained(
"rupeshs/hyper-sd-sdxl-1-step-openvino-int8",
ov_config={"CACHE_DIR": ""},
)
prompt = "a cute cat,flowers"
images = pipeline(
prompt=prompt,
width=768,
height=768,
num_inference_steps=1,
guidance_scale=1.0,
).images
images[0].save("out_image.png")
```
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