---
tags:
  - stable-diffusion
  - stable-diffusion-diffusers
  - text-to-image
  - diffusers
  - instruct-pix2pix
datasets:
  - UCSC-VLAA/HQ-Edit
---
## Quick Start
Make sure to install the libraries first:

```bash 
pip install accelerate transformers
pip install git+https://github.com/huggingface/diffusers
```

```python 
import torch
import torch
from diffusers import StableDiffusionInstructPix2PixPipeline, EulerAncestralDiscreteScheduler
from diffusers.utils import load_image

image_guidance_scale = 1.5
guidance_scale = 7.0
model_id = "MudeHui/HQ-Edit"
pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained(model_id, torch_dtype=torch.float16, safety_checker=None)
pipe.to("cuda")
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
resolution = 512
image = load_image(
    "https://hf.co/datasets/diffusers/diffusers-images-docs/resolve/main/mountain.png"
).resize((resolution, resolution))

edit_instruction = "Turn sky into a cloudy one"
edited_image = pipe(
    prompt=edit_instruction,
    image=image,
    height=resolution,
    width=resolution,
    guidance_scale=image_guidance_scale,
    image_guidance_scale=image_guidance_scale,
    num_inference_steps=30,
).images[0]
edited_image.save("edited_image.png")
```