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Deepak1206
/
text-to-video-model

Text-to-Video
Diffusers
Safetensors
PyTorch
Transformers
English
TextToVideoSDPipeline
video-generation
generative-ai
diffusion
Model card Files Files and versions
xet
Community

Instructions to use Deepak1206/text-to-video-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Deepak1206/text-to-video-model with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Deepak1206/text-to-video-model", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Transformers

    How to use Deepak1206/text-to-video-model with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Deepak1206/text-to-video-model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
text-to-video-model
3.67 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Deepak1206's picture
Deepak1206
Add professional model documentation
969ac0d verified about 20 hours ago
  • scheduler
    Upload text-to-video model about 20 hours ago
  • text_encoder
    Upload text-to-video model about 20 hours ago
  • tokenizer
    Upload text-to-video model about 20 hours ago
  • unet
    Upload text-to-video model about 20 hours ago
  • vae
    Upload text-to-video model about 20 hours ago
  • .gitattributes
    1.52 kB
    initial commit about 20 hours ago
  • README.md
    1.4 kB
    Add professional model documentation about 20 hours ago
  • model_index.json
    434 Bytes
    Upload text-to-video model about 20 hours ago