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attashe
/
Bernini-2-INT8-ConvRot

Image-Text-to-Video
Diffusers
Safetensors
bernini
bernini-v2
int8
convrot
quantized
text-to-video
image-to-video
video-editing
lightx2v
lora
Model card Files Files and versions
xet
Community

Instructions to use attashe/Bernini-2-INT8-ConvRot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use attashe/Bernini-2-INT8-ConvRot with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ByteDance/Bernini-Diffusers-v2", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("attashe/Bernini-2-INT8-ConvRot")
    
    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
Bernini-2-INT8-ConvRot / t5_text_encoder
11.4 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
attashe's picture
attashe
Bernini-2 INT8 ConvRot model artifacts only (source history purged)
665bccb 6 days ago
  • config.json
    855 Bytes
    Bernini-2 INT8 ConvRot model artifacts only (source history purged) 6 days ago
  • model.safetensors
    11.4 GB
    xet
    Bernini-2 INT8 ConvRot model artifacts only (source history purged) 6 days ago