Video Generator

From 9.5 credits

Generate AI videos from a text prompt, image, or reference clip. Cinematic shots, product reveals, lifestyle ads, with synchronized audio and natural motion.

Model10 Models

AutoRecommended

Picks the best engine for your inputs

Prompt

Enhance prompt

Improve the prompt for the selected model before generation. Turn off to send your prompt unchanged.

Aspect Ratio

Length

Resolution

Still needed: Prompt or Reference Images or Reference Videos or Reference Audio

Runs on

10 models

Examples

Reference → ResultSeedance 2 Fast

Laundry ball completes one orbit (Seedance 2.0 Fast)

Seedance 2.0 Fast. A generated Seoul laundromat frame becomes a silent five-second 720p study of one rigid ball completing a clear drum orbit.

Reproduce

0112

How to use Video Generator

A compact decision guide for placing this pipeline in a workflow.

Best for

Creating short video clips from text descriptions or images
Product reveals and scene transitions with real camera movement
Cinematic shots that need real motion (not just pan/zoom on a still)
Text-to-video with native audio on models that support it (others are silent, add narration in video-reel)

Tips

Provide detailed text prompts describing the scene, motion, and desired audio
Use a start image for consistent framing, the model animates from it
Works best for product reveals, scene changes, and dramatic transformations
For simple pan/zoom on stills, image-motion is 10x faster and cheaper
Native audio is generated alongside the video on models that support it, no separate voiceover step. Other models are silent; add narration or music in video-reel.

Video Generator API

Call this pipeline from your own code. One request dispatches a run; the model is an input field, not a separate endpoint.

Get an API token

inputs: 13
Pricing: from 9.5 credits

Language

TypeScript Python Go CLI

bun add @pipe2-ai/sdk

Run a pipeline

import { createClient } from "@pipe2-ai/sdk";

const client = createClient(process.env.PIPE2_TOKEN!);

const { run_pipeline } = await client.RunPipeline({
  pipeline_slug: "video-generator",
  input: {
    prompt: "A detective dials a rotary phone in a dimly lit alleyway, film noir style",
    model: "seedance-2-0-mini",
  },
});

pip install pipe2

Run a pipeline

import asyncio
import os

from pipe2 import Pipe2Client

client = Pipe2Client(token=os.environ["PIPE2_TOKEN"])

run = asyncio.run(client.run_pipeline(
    pipeline_slug="video-generator",
    input={
        "prompt": "A detective dials a rotary phone in a dimly lit alleyway, film noir style",
        "model": "seedance-2-0-mini",
    },
))

go get github.com/pipe2-ai/sdk-go

Run a pipeline

client := pipe2.NewClient(os.Getenv("PIPE2_TOKEN"))

input := json.RawMessage(`{
  "prompt": "A detective dials a rotary phone in a dimly lit alleyway, film noir style",
  "model": "seedance-2-0-mini"
}`)

run, err := pipe2.RunPipeline(context.Background(), client, "video-generator", input)
if err != nil {
    log.Fatal(err)
}

brew install pipe2-ai/tap/pipe2

Run a pipeline

pipe2 pipelines run \
  --pipeline video-generator \
  --input-json '{"prompt": "A detective dials a rotary phone in a dimly lit alleyway, film noir style", "model": "seedance-2-0-mini"}' \
  --wait

Per page

Input	Type	default	Description
`end_image`one of	string	default—	Optional: URL of an image to use as the last frame. AI interpolates between start and end.
`prompt`one of	string	default—	Text description of the video. The AI enhances this automatically with cinematic details.
`reference_audios`one of	array	default—	Optional audio references for music, speech, rhythm, or sound. Model-specific limits are applied automatically.
`reference_images`one of	array	default—	Optional images that guide identity, objects, style, or composition. They are not timeline frames.
`reference_videos`one of	array	default—	Optional video references for composition, motion, camera work, or timing. Model-specific limits are applied automatically.
`start_image`one of	string	default—	Optional: URL of an image to use as the first frame.
`aspect_ratio`	enum	defaultauto	Auto infers framing and preserves attached reference framing when the selected model supports it; fixed ratios force the output canvas. auto · 16:9 · 9:16 +4 `auto16:99:161:14:33:421:9`
`audio`	boolean	defaulttrue	Keep the generated synchronized audio track when the model returns one.
`duration`	enum	defaultauto	Auto right-sizes the clip. Model-specific limits are applied automatically. auto · 4 · 5 +25 `auto456789101112131415161718192021222324252627282930`
`enhance_prompt`	boolean	defaulttrue	Improve the prompt for the selected model before generation. Turn off to send your prompt unchanged.
`model`	enum	defaultauto	Auto selects a compatible engine, or pin a model for its exact input and output controls. auto · seedance-2-0-mini · seedance-2-0-fast +8 `autoseedance-2-0-miniseedance-2-0-fastseedance-2-0-proseedance-2-5veo-3-1-liteveo-3-1-fastveo-3-1-standardminimax-h3gemini-omni-1-1-flashgrok-imagine-video`
`resolution`	enum	default720p	Model-aware output resolution. 480p · 720p · 768p +3 `480p720p768p1080p2k4k`
`seed`	integer	default—	Optional: pin the random seed for a reproducible Seedance result. Leave empty for a fresh random seed each run.

Point any MCP client at pipe2 and your agent gets these tools. It finds this pipeline, reads the same schema above, then runs it.

list_pipelines
get_pipeline_schema
run_pipeline
get_pipeline_run_status
request_upload

https://mcp.pipe2.ai/mcp

{
  "mcpServers": {
    "pipe2ai": {
      "url": "https://mcp.pipe2.ai/mcp",
      "headers": { "Authorization": "Bearer YOUR_TOKEN" }
    }
  }
}

MCP setup

Full API reference CLI reference

Recipes using this pipeline

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Articles about this pipeline

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Frequently Asked Questions

How long are generated videos?

4 to 15 seconds per clip. Veo caps at 8s, so 10s and longer route automatically to Seedance. Combine multiple clips into longer sequences with the Video Reel pipeline.

Does it generate audio?

Yes. Veo synthesizes audio in sync with the video, describe the sounds you want in your prompt. Seedance can add a soundtrack too, or switch the audio toggle off for a silent clip.

What aspect ratios are supported?

16:9, 9:16, 1:1, 4:3, 3:4, and 21:9. Veo supports 16:9 and 9:16; the rest run on Seedance. Perfect for YouTube, TikTok, Reels, and Shorts.

Can I use references?

Yes, upload reference images for style or first-frame anchors, a reference video for camera movement and pacing, or reference audio to use as the soundtrack.

How is pricing determined?

It depends on the model. Some are flat-rate per tier; others are billed by usage, so longer, higher-resolution clips and added references cost a little more. On Auto a plain prompt is a flat Veo 3.1 Lite charge; runs that escalate to Seedance are quoted a ceiling up front and refunded down to what the run actually uses.

Can I choose the model?

Yes, pick one with the model selector on the form. By default a plain prompt runs a fast Veo 3.1 Lite draft, escalating to Seedance Pro only for references, 10s+, or Seedance-only ratios. Pin any Veo or Seedance tier to override.