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Intelligently upscale and enhance videos to cinematic quality using a multi-model backend (Topaz, SeedVR2).
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
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| name | video-upscaler |
| version | 1.0.0 |
| display_name | Video Upscaler |
| author | wells1137 |
| description | Intelligently upscale and enhance videos to cinematic quality using a multi-model backend (Topaz, SeedVR2). |
| tags | ["video","upscale","enhance","topaz","seedvr","4k","quality"] |
The Video Upscaler skill provides professional-grade video quality enhancement by leveraging a powerful, multi-model backend. It intelligently selects the best AI model (Topaz, SeedVR2, etc.) based on the user-defined profile to achieve optimal results, transforming low-resolution or noisy footage into crisp, cinematic-quality video.
This skill abstracts away the complexity of choosing and configuring different AI upscaling models. Instead of dealing with dozens of technical parameters, the user simply chooses a high-level goal, and the skill handles the rest.
The skill operates in a simple, two-step asynchronous workflow:
Submit Job: The agent calls the /upscale endpoint with a video URL and a profile name. The service validates the request, selects the appropriate AI model, and submits the job to the fal.ai backend. It immediately returns a task_id.
Poll for Status: The agent uses the task_id to periodically call the /status/{task_id} endpoint. The status will be queued, in_progress, or completed. Once completed, the response will contain the URL of the final, upscaled video.
| Profile Name | Description |
|---|---|
standard_x2 | 2x upscale using Topaz Proteus v4. Best all-around quality for live-action footage. |
cinema_4k | Upscale to 4K (2160p) using SeedVR2. Best for cinematic content requiring temporal consistency. |
frame_boost_60fps | 2x upscale + frame interpolation to 60 FPS using Topaz Apollo v8. Best for sports and action. |
ai_video_enhance | 4x upscale using Topaz. Best for AI-generated videos that need resolution boosting. |
web_optimized | Upscale to 1080p with web-optimized H264 output. Best for social media and web publishing. |
User Request: "Enhance this video to 4K cinematic quality: [video_url]"
1. Agent -> Skill (Submit Job)
The agent identifies the user's intent and calls the /upscale endpoint with the cinema_4k profile.
curl -X POST http://<your_backend_url>/upscale \
-H "Content-Type: application/json" \
-d
"video_url": "[video_url]",
"profile": "cinema_4k"
}
Response:
{
"task_id": "a1b2c3d4-e5f6-7890-1234-567890abcdef",
"model_used": "fal-ai/seedvr/upscale/video",
"profile": "cinema_4k"
}
2. Agent -> Skill (Poll for Status)
The agent waits and then polls the status endpoint.
curl http://<your_backend_url>/status/a1b2c3d4-e5f6-7890-1234-567890abcdef
Response (In Progress):
{
"task_id": "a1b2c3d4-e5f6-7890-1234-567890abcdef",
"status": "in_progress",
"logs": ["Processing frame 100/1200..."]
}
Response (Completed):
{
"task_id": "a1b2c3d4-e5f6-7890-1234-567890abcdef",
"status": "completed",
"result": {
"video_url": "https://.../upscaled_video.mp4"
}
}
3. Agent -> User
The agent delivers the final, upscaled video URL to the user.