Instructions to use YouLiXiya/yl-consistency with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YouLiXiya/yl-consistency with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("YouLiXiya/yl-consistency", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Quickstart
!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()
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