---
license: apache-2.0
---
## Quickstart
```python
!pip install diffusers
from diffusers import DiffusionPipeline
pipeline = DiffusionPipeline.from_pretrained(
    "YouLiXiya/yl-consistency",
    custom_pipeline="YouLiXiya/yl-consistency",
)

from PIL import Image
def make_grid(images, rows, cols):
    w, h = images[0].size
    grid = Image.new('RGB', size=(cols * w, rows * h))
    for i, image in enumerate(images):
        grid.paste(image, box=(i % cols * w, i // cols * h))
    return grid

import matplotlib.pyplot as plt
images = pipeline(batch_size=64, num_inference_steps=10).images
grid = make_grid(images, 8, 8)
plt.imshow(grid)
plt.axis('off')
plt.show()
```
<div>
    <a href="https://colab.research.google.com/github/Youlixiya/ylcm/blob/master/scripts/unconditional_cm_cifar10_32_pipeline.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>
</div>