Instructions to use BiliSakura/BitDance-Tokenizer-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/BitDance-Tokenizer-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BiliSakura/BitDance-Tokenizer-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 365 Bytes
f6b0849 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | SUPPORTED_IMAGE_SIZES = [
# 1024px area
[2048, 512],
[1920, 512],
[1536, 640],
[1280, 768],
[1152, 896],
[1024, 1024],
[896, 1152],
[768, 1280],
[640, 1536],
[512, 1920],
[512, 2048],
# 512px area
[1024, 256],
[896, 256],
[640, 384],
[512, 512],
[384, 640],
[256, 896],
[256, 1024],
]
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