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

NimVideo
/
cogvideox1.5-5b-prompt-camera-motion

Video-to-Video
Diffusers
English
cogvideox
video-generation
Model card Files Files and versions
xet
Community
3

Instructions to use NimVideo/cogvideox1.5-5b-prompt-camera-motion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use NimVideo/cogvideox1.5-5b-prompt-camera-motion with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("NimVideo/cogvideox1.5-5b-prompt-camera-motion", 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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Add video-to-video pipeline tag

#3 opened about 1 year ago by
merve

which dataset did you used?

2
#2 opened over 1 year ago by
yawei9403

Can the LORA provided by you be used together with the LORA I trained myself?

5
#1 opened over 1 year ago by
wjj0022
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs