Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

Motif-Technologies
/
Motif-Video-2B

Text-to-Video
Diffusers
Safetensors
English
image-to-video
video-generation
diffusion-transformer
Model card Files Files and versions
xet
Community
29

Instructions to use Motif-Technologies/Motif-Video-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Motif-Technologies/Motif-Video-2B with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Motif-Technologies/Motif-Video-2B", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "A vibrant blue jay perches gracefully on a slender branch, its feathers shimmering in the soft morning light. The bird's keen eyes scan the surroundings, capturing the essence of the tranquil forest. It flutters its wings briefly, showcasing the intricate patterns of blue, white, and black on its plumage. The background reveals a lush canopy of green leaves, with rays of sunlight filtering through, creating a dappled effect on the forest floor. The blue jay then tilts its head, emitting a melodious call that echoes through the serene woodland, adding a touch of magic to the peaceful scene."
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
Motif-Video-2B
17 GB
Ctrl+K
Ctrl+K
  • 6 contributors
History: 28 commits
Lisianna's picture
Lisianna
Upload ScreenShot_133686899390424580.JPG
bf113c0 verified about 1 month ago
  • assets
    Delete assets/vows.mp4 about 1 month ago
  • feature_extractor
    Initial release about 2 months ago
  • scheduler
    Initial release about 2 months ago
  • text_encoder
    Switch to T5Gemma2Encoder for text encoding (#5) about 1 month ago
  • tokenizer
    Initial release about 2 months ago
  • transformer
    Switch to T5Gemma2Encoder for text encoding (#5) about 1 month ago
  • vae
    Initial release about 2 months ago
  • .gitattributes
    2.34 kB
    Upload ScreenShot_133686899390424580.JPG about 1 month ago
  • .gitignore
    366 Bytes
    Initial release about 2 months ago
  • README.md
    20.2 kB
    Update README.md about 1 month ago
  • ScreenShot_133686899390424580.JPG
    172 kB
    xet
    Upload ScreenShot_133686899390424580.JPG about 1 month ago
  • _fm_solvers_unipc.py
    31.5 kB
    Initial release about 2 months ago
  • inference.py
    4.81 kB
    Initial release about 2 months ago
  • model_index.json
    505 Bytes
    Switch to T5Gemma2Encoder for text encoding (#5) about 1 month ago
  • pipeline_motif_video.py
    60.4 kB
    Enable Flash Attention by trimming prompt embedding padding (#8) about 1 month ago