Instructions to use BiliSakura/BitDance-14B-64x-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/BitDance-14B-64x-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BiliSakura/BitDance-14B-64x-diffusers", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Update all files for BitDance-14B-64x-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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