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CogVideoX-5b

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Information

CogVideoX-5b is a model for generating videos using artificial intelligence technologies, accessible through the Huggingface Space interface. Its architecture is based on cognitive models and transformers for creating visual content.

CogVideoX-5b. Key Features

  • Text-to-video generation — transforms text descriptions into high-quality video segments with strong semantic and visual coherence;
  • Supports various resolutions and formats — ability to create videos in different aspect ratios and resolutions for diverse purposes;
  • Cognitive understanding of context — enhanced interpretation of user requests thanks to pre-trained language models;
  • Graphical interface — a convenient web interface for interacting with the model without programming;
  • Video quality improvement — integrated models for increasing resolution and frame rate (RIFE);
  • Customizable generation parameters — ability to finely adjust style, animation speed, and other video characteristics;
  • Scalability — efficient operation on GPUs with support for parallel computing;
  • Open-source code — availability of the model's code and weights for research communities and developers.

Deployment Features

ID Compatible OS VM BM VGPU GPU Min CPU (Cores) Min RAM (Gb) Min HDD/SDD (Gb) Active
272 Ubuntu 22.04 + + + + 4 32 50 Yes
  • Installation time: 15-30 minutes including OS setup.
  • System Requirements: For optimal performance, at least 24GB of VRAM on a GPU is recommended.
    • SAT BF16: 76GB VRAM;
    • diffusers BF16: from 10GB VRAM;
    • diffusers INT8 (torchao): from 7GB VRAM;
    • Multi-GPU mode (BF16): approximately 24GB per GPU when using diffusers.
  • Supported video resolutions: base resolution: 1360 × 768;
  • Number of frames: must follow the formula 16N + 1, where N ≤ 10 (by default 81 frame);
  • Frame rate: 16 fps;
  • Video duration: 5-10 seconds;
  • Recommended precision: BF16 (FP16, FP32, FP8*, INT8 also supported; INT4 not supported);
  • Generation speed (50 steps): ~1000 seconds on NVIDIA A100, ~550 seconds on NVIDIA H100.
  • Pre-installed dependencies:
    • Python 3.9
    • python3.9-venv (tool for creating isolated Python environments)
    • python3.9-dev (header files and libraries for development)
    • python3-pip (Python package manager)
    • NVIDIA drivers
    • nvidia-docker2
    • docker.io
    • nginx-certbot
    • git
    • curl
    • wget
  • Project directory: /opt/CogVideo.

Getting Started with CogVideoX-5b After Deployment

After payment, a notification will be sent to the email address provided during registration indicating that the server is ready for use. It will include the VPS IP address and login credentials for access. Our company's clients manage equipment through the server management panel and APIInvapi.

The login data can be found either in the Info >> Tags tab of the server control panel or in the sent email:

  • Link to access CogVideoX-5b's management panel via web interface: in the webpanel tag;
  • Login and Password: sent in an email upon server release.

CogVideoX-5b Startup Menu

After clicking the link from the webpanel tag, the CogVideoX startup menu will open.

To generate content, follow these steps:

  1. Note the warning: this demonstration tool is intended only for academic research and experimental use.

  2. If space is overloaded, you can create a personal copy by clicking "Duplicate this Space".

Data Input

  1. You have two options for data input (cannot be used simultaneously):

    • I2V: image input (cannot be used simultaneously with video);
    • V2V: video input (cannot be used simultaneously with an image).
  2. Enter the text prompt in the corresponding field. Limit: less than 200 words.

  3. Optional: click the Enhance Prompt button to improve your query using the GLM-4 Model, which will enhance your original text.

Parameter Configuration

  1. Enter a value for Inference Seed:

    • A positive number for a specific seed. When entering a positive number (e.g., 42, 123, 1000), the system uses this as the starting point for the random number generator, ensuring result reproducibility. Using the same seed with the same prompt and settings will yield identical or very similar results in subsequent generations;
    • -1 for a random seed. Each generation will be unique, even if you use the same prompt and settings.
  2. Select additional options (optional):

    • Super-Resolution: enable to increase resolution (720 × 480 → 2880 × 1920)
    • Frame Interpolation: enable to increase frame rate (8fps → 16fps)
  3. Note that in demo:

    • RIFE is used for frame interpolation;
    • Real-ESRGAN is used for super-resolution.
  4. Click the Generate Video button at the bottom of the screen.

  5. Wait for generation to complete — results will be displayed on the right side of the interface.

Note

Detailed information about using CogVideoX-5b can be found in the project's official documentation.

Ordering a Server with CogVideoX-5b via API

To install this software using the API, follow this instruction.


Some of the content on this page was created or translated using AI.