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", torch_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: 290 Bytes
3d2b0a5 | 1 2 3 4 5 6 7 | {
"source": "/data/projects/BitDance/models/shallowdream204/BitDance-Tokenizer/ae_d32c128.safetensors",
"source_config": "/data/projects/BitDance/models/shallowdream204/BitDance-Tokenizer/ae_d32c128_config.json",
"converted_from": "BitDance-Tokenizer",
"component": "autoencoder"
}
|