---
license: apache-2.0
---


### china-chic-style on stable diffuison by dreambooth

Here are the images used for training this concept:

![1](concept_images/1.jpg)

![2](concept_images/2.jpg)

![3](concept_images/3.jpg)


#### new concept

china-chic-style

#### inference 

````
from torch import autocast
from diffusers import StableDiffusionPipeline
import torch
import diffusers
from PIL import Image


def image_grid(imgs, rows, cols):
    assert len(imgs) == rows*cols
    w, h = imgs[0].size
    grid = Image.new('RGB', size=(cols*w, rows*h))
    grid_w, grid_h = grid.size                    
    for i, img in enumerate(imgs):
        grid.paste(img, box=(i%cols*w, i//cols*h))
    return grid


pipe = StableDiffusionPipeline.from_pretrained("Dushwe/china-chic-landscape").to("cuda")
prompt = 'the moon hanging high in the sky,chinc-chic-style'
images = pipe(prompt, num_images_per_prompt=1, num_inference_steps=50, guidance_scale=7.5,torch_dtype=torch.cuda.HalfTensor).images
grid = image_grid(images, 1, 1)
grid
````
![grid](concept_images/1.png)



You run your new concept via `diffusers` 
[Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!