What is Video to Prompt and how does it work?

Video to Prompt is an AI utility that converts any video clip into a detailed, model-ready generation prompt. It decodes keyframes in the browser, detects subject, motion dynamics, camera movement, lighting, and lens parameters, and formats the result for AI video models like Sora, Kling, Runway, and Luma.

Is Video to Prompt free to use?

Yes, Video to Prompt is 100% free for daily use with no account, login, or credit card required. Users can paste a link or drop a video file and receive instant prompt outputs.

Does Video to Prompt store or upload my original video?

No. The tool uses a privacy-first, client-side decoding engine. Your video is loaded locally in your browser, where 4 to 8 lightweight keyframes are captured. Only compressed keyframes are sent for AI analysis, and no raw video files are saved to any server.

Which AI video generators work with Video to Prompt outputs?

Prompts are customized and optimized for OpenAI Sora, Kling AI (1.0 & 1.5), Runway Gen-3 Alpha, Google Veo, Luma Dream Machine, Haiper, Pika, and Midjourney v6.1.

Home >Models >Wan 2.1

✦ Open-Source AI Video ModelWan 2.1 14B & 1.3B

Wan 2.1 AI Video Prompt Generator & Dialect Guide

Wan 2.1 is the landmark open-source video diffusion model revolutionizing local and cloud AI video workflows. Learn how to format prompts for Wan 2.1 text encoders, direct precise camera motions in ComfyUI, and reverse-engineer reference clips into Wan 2.1 syntax.

Direct Answer • How Wan 2.1 Prompt Engineering Differs from Other Models

Unlike proprietary models that use heavy internal prompt re-writing, Wan 2.1 adheres with extreme literal fidelity to tokens. It responds best to hierarchical structured tags: Quality Anchor (masterpiece, 8k cinematic) + Shot Type / Camera Movement (low-angle tracking shot, slow dolly in) + Subject Dynamics + Environment & Lighting + Temporal Shutter Cadence (24fps, motion blur).

Reverse-Engineer Any Video into Wan 2.1 Syntax

Drop your video reference on our home page to extract 5D camera vectors into instant Wan 2.1 prompts.

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Wan 2.1 High-Fidelity Prompt Template

Wan 2.1 14B Tested

"masterpiece, 8k cinematic shot, low-angle forward tracking shot at 2.5 m/s, an electric sports car drifting along rain-slicked asphalt at night, glowing neon teal and magenta reflections pooling in puddles, volumetric mist and tire water spray, anamorphic lens flare with blue streak, shallow depth of field, 24fps motion cadence, photorealistic physics"

Wan 2.1 Universal Negative Prompt

"cartoon, 3D render look, plastic skin, jittery camera, erratic morphing, deformed hands, extra limbs, frame flickering, oversaturated, blurry, bad anatomy, text, watermark"

Wan 2.1 Prompt Optimization Rules & Best Practices

1. Explicit Camera Trajectories

Wan 2.1 excels when the camera direction is declared upfront. Always begin with the optical motion (e.g. "slow forward dolly in", "360 degree orbital camera rotation", "drone vertical descent") to prevent unwanted scene rotations.

2. Physical Causal Actions

Describe continuous cause-and-effect motion. Rather than saying "windy day", specify "tall golden wheat stems bending rhythmically under strong gusts of wind".

3. Optical Lens Specifics

Specify focal lengths (e.g. "85mm portrait prime", "35mm anamorphic", "14mm ultra-wide") to establish realistic foreground-background compression and prevent fish-eye distortions.

4. Shutter & Frame Cadence

Adding "24fps cinematic motion blur" or "120fps ultra slow motion" sets the latent temporal attention sampling rate, eliminating choppy micro-stuttering in high-motion sequences.

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