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
Update all files for BitDance-Tokenizer-diffusers
Browse files
bitdance_diffusers/__init__.py
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from .constants import SUPPORTED_IMAGE_SIZES
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from .modeling_autoencoder import BitDanceAutoencoder
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from .modeling_diffusion_head import BitDanceDiffusionHead
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from .modeling_projector import BitDanceProjector
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from .pipeline_bitdance import BitDanceDiffusionPipeline
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__all__ = [
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"SUPPORTED_IMAGE_SIZES",
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"BitDanceAutoencoder",
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"BitDanceDiffusionHead",
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"BitDanceProjector",
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"BitDanceDiffusionPipeline",
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]
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