How do credit costs compare to other video-to-video models on JAI Portal?

Credit costs for NVIDIA Cosmos Predict 2.5 depend on the number of frames, inference steps, and output quality you select. Shorter videos at lower quality settings use fewer credits, making it economical for quick tests. Compared to <a href="/model/cogvideox-5b-video-to-video">CogVideoX-5B Video to Video</a>, Cosmos Predict 2.5 typically processes faster but at a fixed resolution. For budget-conscious projects, start with medium quality and 35 inference steps, then scale up only for final deliverables. JAI Portal's pay-as-you-go system means you only pay for what you generate, with no subscription fees or minimum commitments required.

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

NVIDIA Cosmos Predict 2.5 Video to Video is a cutting-edge AI model designed to revolutionize the way you generate and enhance videos. Leveraging NVIDIA's powerful 2B Cosmos model, this tool enables users to transform existing videos into completely new creations using both the input video and a descriptive text prompt. Whether you want to apply a cinematic style, alter the mood, or generate dynamic visual effects, this model delivers professional-grade results with remarkable flexibility and speed. At its core, Cosmos Predict 2.5 harnesses advanced deep learning techniques for video-to-video generation. Users simply upload or link to a video as the base, then describe their vision using natural language. The model intelligently interprets both the input video and the text prompt, generating a new video sequence up to 5.8 seconds (9-93 frames at 16fps) in a fixed 1280x704 resolution. The result is a seamless blend of original content and creative AI-driven transformation, ideal for content creators who demand both quality and customization. Key parameters allow granular control over the generation process. You can specify the number of frames for the output, ensuring the video fits your desired length. The guidance scale ensures strong adherence to your prompt, while inference steps let you balance quality and generation speed. Negative prompts help steer the AI away from unwanted visual artifacts, such as motion blur, low resolution, or unnatural transitions. By setting these controls, users can fine-tune the output to match their exact requirements. Cosmos Predict 2.5 supports multiple export formats to fit any workflow, including MP4 (X264), WebM (VP9), MOV (ProRes 4444), and GIF. Output quality is customizable, ranging from low to maximum, so you can prioritize speed or fidelity as needed. The model even supports reproducibility through seeding, making it possible to achieve consistent results across multiple runs. This AI-powered video tool is ideal for a wide range of applications. Filmmakers and video editors can rapidly prototype scenes, enhance footage, or experiment with creative transitions. Marketers and social media managers can produce eye-catching promotional clips that stand out. Educators and trainers can generate dynamic visual aids, while game developers and animators can quickly iterate on concepts. With the ability to transform videos using just a few clicks and a clear text description, Cosmos Predict 2.5 empowers anyone to unlock new creative possibilities. Backed by NVIDIA’s robust AI technology, Cosmos Predict 2.5 Video to Video combines high performance, intuitive controls, and versatile output options. It’s a powerful solution for anyone seeking to elevate their video content with the speed and intelligence of the latest advancements in AI-driven media generation.

✨ 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

Upload or paste the URL of your input video to serve as the base for generation.

Enter a descriptive text prompt detailing the style, mood, or transformation you want.

Optionally, add a negative prompt to exclude unwanted visual elements or effects.

Set the number of frames, guidance scale, inference steps, and select your desired output format and quality.

Start the generation process and wait for the model to process and create the new video.

Download the AI-generated video in your chosen format for further editing or sharing.

💡 Pro Tips for NVIDIA Cosmos Predict 2.5 Video to Video

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Match Your Input Video Quality Start with stable, well-lit source footage to get the best transformation results. The model works optimally when your input video has clear subject motion and minimal camera shake. If your source is shaky or poorly lit, the AI may struggle to apply consistent transformations. For videos that need stabilization first, consider preprocessing with dedicated tools before feeding them into Cosmos Predict 2.5 for style transformation.

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Craft Detailed Transformation Prompts Be specific about the visual style, lighting conditions, and camera feel you want. Instead of generic prompts like 'make it better,' try 'cinematic sunset lighting with warm golden tones and smooth tracking camera movement.' The model responds well to concrete visual descriptors. Compare this approach with CogVideoX-5B Video to Video, which also benefits from detailed prompts but offers different stylistic capabilities.

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Use Negative Prompts Strategically The default negative prompt excludes common artifacts like motion blur and pixelation, but you can customize it for your specific needs. If you're getting unwanted color shifts, add terms like 'oversaturated colors' or 'color banding' to the negative prompt. This gives you finer control over the output quality. For projects requiring precise color control, LightX Relight offers complementary relighting capabilities.

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Balance Frame Count and Quality While the model supports up to 93 frames (5.8 seconds), shorter sequences with higher inference steps often deliver better results than longer ones at default settings. For quick iterations, start with 45-60 frames at 25-30 inference steps, then increase both for final renders. This approach saves credits during experimentation while maintaining quality where it matters most for your project timeline.

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Choose the Right Export Format MP4 (X264) works for most web and social media uses, but ProRes 4444 MOV is essential if you're importing into professional editing software for further compositing. WebM offers smaller file sizes for web deployment, while GIF is perfect for quick social media previews. Match your export format to your distribution channel to avoid unnecessary transcoding that can degrade quality in post-production workflows.

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Test Guidance Scale for Style Intensity The default guidance scale of 7 balances prompt adherence with natural video flow, but adjusting this parameter significantly impacts results. Lower values (3-5) create subtler transformations that preserve more of the original video character, while higher values (10-15) apply more aggressive stylization. Experiment with this setting based on whether you want enhancement or dramatic transformation of your source material.

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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.

Credit costs for NVIDIA Cosmos Predict 2.5 depend on the number of frames, inference steps, and output quality you select. Shorter videos at lower quality settings use fewer credits, making it economical for quick tests. Compared to CogVideoX-5B Video to Video, Cosmos Predict 2.5 typically processes faster but at a fixed resolution. For budget-conscious projects, start with medium quality and 35 inference steps, then scale up only for final deliverables. JAI Portal's pay-as-you-go system means you only pay for what you generate, with no subscription fees or minimum commitments required.

Yes, all videos generated using paid credits on JAI Portal come with commercial-use rights, meaning you can use Cosmos Predict 2.5 outputs in client work, marketing campaigns, social media ads, and other commercial applications. This applies whether you're creating content for your own business or delivering to clients. The model's support for professional formats like ProRes 4444 makes it suitable for broadcast and high-end production workflows. Always ensure your input video also has appropriate usage rights, as the model transforms existing footage rather than creating entirely new content from scratch.

JAI Portal provides API access for developers and teams who need to process multiple videos programmatically. This is ideal for agencies, production studios, or SaaS platforms that want to integrate AI video transformation into their existing workflows. You can queue multiple video-to-video jobs, set parameters programmatically, and retrieve results automatically. Batch processing saves time when you need to apply consistent transformations across multiple clips. Contact JAI Portal support or check the API documentation for implementation details, authentication requirements, and rate limits specific to Cosmos Predict 2.5 and other video models.

The 1280x704 resolution is optimized for the NVIDIA Cosmos 2B model architecture, balancing quality, processing speed, and computational efficiency. This resolution maintains a cinematic 16:9 aspect ratio (approximately) while delivering sharp results suitable for web, social media, and many professional applications. If you need different resolutions, you can upscale or crop the output in post-production, or explore other JAI Portal models like Wan 2.2 Video-to-Video which may offer different resolution options. The fixed resolution ensures consistent performance and predictable credit costs across all generations.

Flickering and artifacts usually result from low-quality input footage, insufficient inference steps, or prompts that conflict with the source video content. First, verify your input video is stable and well-lit. Increase the inference steps to 40-50 for smoother results, though this will increase generation time and credit cost. Refine your negative prompt to explicitly exclude 'flickering,' 'visual noise,' or 'artifacting.' If the issue persists, try lowering the guidance scale to reduce prompt intensity. For videos requiring extensive cleanup, consider using SAM 3 Video Segmentation for precise object isolation before transformation.

⚖️ How NVIDIA Cosmos Predict 2.5 Video to Video Compares

NVIDIA Cosmos Predict 2.5 Video to Video stands out for its balance of speed, quality, and text-guided control in the video transformation space. Compared to CogVideoX-5B Video to Video, Cosmos Predict 2.5 typically processes faster and offers more predictable results at a fixed resolution, making it ideal for users who prioritize consistency and turnaround time. While CogVideoX-5B may offer more experimental creative outputs, Cosmos delivers professional-grade transformations with fewer surprises. For users focused on specific video manipulation tasks, Wan 2.2 Video-to-Video provides alternative stylistic approaches, while Luma Ray 2 Reframe and Luma Ray 2 Flash Reframe excel at camera reframing and motion adjustments rather than full stylistic transformation. Choose Cosmos Predict 2.5 when you need reliable, text-guided video enhancement with professional export options and consistent quality across multiple generations. Its support for ProRes 4444 and multiple quality tiers makes it particularly attractive for production workflows where predictability matters. If you're still exploring which model fits your project best, JAI Portal's side-by-side comparison tool lets you test multiple models with the same input, or sign up to start experimenting with credits across the entire video editing suite.

NVIDIA Cosmos Predict 2.5 Video to Video

Input Video

Generated Video

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