NVIDIA Cosmos Predict 2.5 Video to Video

Transform videos with text guidance up to 5.8s. Fixed 1280x704 resolution, multiple export formats.

"Transform to cinematic style with enhanced lighting"

Input Video

@Video1

Generated Video

Generated

Upload your video and extend it in seconds

8,500+ videos generated this month

📄 About NVIDIA Cosmos Predict 2.5 Video to Video
Key Features
AI-powered video-to-video generation using both video input and text prompts for creative control.
Supports multiple output formats including MP4 (X264), WebM (VP9), MOV (ProRes 4444), and GIF for broad compatibility.
Customizable frame count (9-93 frames) at 16fps, allowing up to 5.8 seconds of high-resolution video generation.
Adjustable guidance scale and inference steps for fine-tuning prompt adherence and output quality.
Integrated negative prompt system to avoid undesired visual artifacts or styles in the generated video.
Selectable video quality levels (low, medium, high, maximum) to balance speed and fidelity.
Reproducible outputs through random seed control for consistent generation across multiple sessions.
💡 Use Cases
Transforming raw video footage into cinematic or stylized sequences for film and video production.
Creating engaging, AI-enhanced promotional content for marketing campaigns and social media.
Prototyping visual effects or scene variations quickly during pre-production and creative brainstorming.
Generating educational or training videos with customized styles and improved visual clarity.
Producing animated GIFs or short looping videos for digital advertising or online content.
Enhancing game development workflows by iterating on short video assets with AI-driven creativity.
Improving existing video content by removing undesired elements or refining overall quality.
🎯 Best For
🎯 Video editors, content creators, marketers, filmmakers, and creative professionals seeking rapid, AI-powered video transformation.
👍 Pros
Delivers high-quality, customizable video outputs with minimal user effort.
Offers granular control over video generation parameters for tailored results.
Supports a wide range of output formats and quality settings to suit different needs.
Efficiently leverages both video and text input for creative flexibility.
Reduces the time and resources required for prototyping or enhancing video content.
Allows for reproducible results via seeding, ideal for iterative workflows.
⚠️ Considerations
Fixed output resolution limits flexibility for certain projects.
Maximum video length is limited to 5.8 seconds per generation.
Requires a clear and well-crafted prompt to achieve optimal results.
Not designed for real-time or long-form video editing.
📚 How to Use NVIDIA Cosmos Predict 2.5 Video to Video
1
Upload or paste the URL of your input video to serve as the base for generation.
2
Enter a descriptive text prompt detailing the style, mood, or transformation you want.
3
Optionally, add a negative prompt to exclude unwanted visual elements or effects.
4
Set the number of frames, guidance scale, inference steps, and select your desired output format and quality.
5
Start the generation process and wait for the model to process and create the new video.
6
Download the AI-generated video in your chosen format for further editing or sharing.
Frequently Asked Questions
You can use any video file or URL as input, as long as it is supported by the platform (video/*). The model will use this video as the base for generating the new content.
The model supports generating videos from 9 to 93 frames at 16fps, which equals up to 5.8 seconds of video. You can customize the frame count according to your needs.
NVIDIA Cosmos Predict 2.5 Video to Video supports MP4 (X264), WebM (VP9), MOV (ProRes 4444), and GIF formats, offering flexibility for different workflows and platforms.
Pricing varies by model and is based on a pay-as-you-go credit system. This allows you to pay only for the resources you use without long-term commitments.
Yes, you can use the negative prompt feature to specify elements you want to avoid, helping the model steer clear of unwanted visual artifacts or styles in the generated video.

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