cogvideo
Maintainer: nightmareai
32
| Property | Value |
|---|---|
| Model Link | View on Replicate |
| API Spec | View on Replicate |
| Github Link | View on Github |
| Paper Link | View on Arxiv |
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Model overview
cogvideo is a text-to-video generation model developed by the team at NightmareAI. It is capable of generating short video clips from text prompts, similar to models like damo-text-to-video and stable-diffusion. The model uses a multi-stage approach, first generating an initial video from the text prompt and then refining it through a second stage.
Model inputs and outputs
The cogvideo model takes in a text prompt, an optional seed value, and some additional settings to control the generation process. The outputs are a series of video frames that can be combined into a short video clip.
Inputs
- Prompt: The text prompt that describes the desired video content
- Seed: An optional integer value to control the random generation process (-1 to use a random seed)
- Translate: A boolean setting to automatically translate the prompt from English to Simplified Chinese
- Both Stages: A boolean setting to run both stages of the generation process (for faster results, you can uncheck this to only run the initial stage)
- Image Prompt: An optional starting image to guide the video generation
- Use Guidance: A boolean setting to enable stage 1 guidance (recommended for better results)
Outputs
- A series of video frames that can be combined into a short video clip
Capabilities
The cogvideo model can generate a variety of video content from text prompts, ranging from simple animations to more complex scenes with moving objects and characters. The model is particularly adept at generating videos with a surreal or dreamlike quality, drawing inspiration from the prompts in creative and unexpected ways.
What can I use it for?
The cogvideo model could be used for a wide range of applications, such as creating short video clips for social media, generating concept art for films or games, or even prototyping new ideas and visualizing them in a dynamic format. The ability to translate prompts to different languages also opens up possibilities for creating content for global audiences.
Things to try
To get the most out of the cogvideo model, experiment with different types of prompts, from the specific and descriptive to the more abstract and imaginative. Try playing with the various input settings, such as the seed value and the use of image prompts, to see how they affect the generated output. You can also explore the model's capabilities by combining it with other tools, such as video editing software, to create more polished and refined video content.
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