Video Editor

• Gemini Omni Flash
• Grok Imagine Video

Examples

Before

After

Before / AfterGrok Imagine Video

Night → golden dawn (cinematic)

Grok Imagine Video. The ultrawide night glide reimagined as a golden sunrise over a sea of clouds: a full environment and lighting transformation from one instruction, Pyra herself kept sharp and untouched.

ReproduceOpen

Video Editor API

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

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

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

const { run_pipeline } = await client.RunPipeline({
  pipeline_slug: "video-editor",
  input: {
    video_url: "https://example.com/interview.mp4",
    instructions: "Cut the dead air at the start and add a slow zoom on the speaker",
    model: "gemini-omni-flash",
  },
});

import asyncio
import os

from pipe2 import Pipe2Client

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

run = asyncio.run(client.run_pipeline(
    pipeline_slug="video-editor",
    input={
        "video_url": "https://example.com/interview.mp4",
        "instructions": "Cut the dead air at the start and add a slow zoom on the speaker",
        "model": "gemini-omni-flash",
    },
))

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

input := json.RawMessage(`{
  "video_url": "https://example.com/interview.mp4",
  "instructions": "Cut the dead air at the start and add a slow zoom on the speaker",
  "model": "gemini-omni-flash"
}`)

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

pipe2 pipelines run \
  --pipeline video-editor \
  --input-json '{"video_url": "https://example.com/interview.mp4", "instructions": "Cut the dead air at the start and add a slow zoom on the speaker", "model": "gemini-omni-flash"}' \
  --wait

Get an API token →

Parameters

instructions required

What to change, in plain language.

string

video_url required

Public URL of the video to edit.

string

model

Video engine to use. Leave unset and Pipe2 picks one that supports your edit.

gemini-omni-flashgrok-imagine-video default gemini-omni-flash

Use it from an AI agent

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

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

Full API reference→ MCP setup→ CLI reference→

Frequently Asked Questions