vidu/q2-turbo/image-to-video

Vidu Q2-Turbo Image-to-Video is an advanced AI video generation model that brings static images to life. Upload a reference image and describe the motion you want — the model generates high-quality video with smooth animation, optional audio, and cinematic quality up to 1080p.

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vidu/q2-turbo/image-to-video
Vidu Q2-Turbo Image-to-video
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Vidu Q2-Turbo Image-to-Video is an advanced AI video generation model that brings static images to life. Upload a reference image and describe the motion you want — the model generates high-quality video with smooth animation, optional audio, and cinematic quality up to 1080p.

Invoer

Parameterconfiguratie laden...

Uitvoer

Inactief
Uw gegenereerde video's verschijnen hier
Configureer parameters en klik op Uitvoeren om te beginnen met genereren

Elke uitvoering kost $0.026. Voor $10 kunt u ongeveer 384 keer uitvoeren.

U kunt doorgaan met:

Parameters

Codevoorbeeld

import requests
import time

# Step 1: Start video generation
generate_url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "vidu/q2-turbo/image-to-video",
    "prompt": "A beautiful sunset over the ocean with gentle waves",
    "width": 512,
    "height": 512,
    "duration": 3,
    "fps": 24,
}

generate_response = requests.post(generate_url, headers=headers, json=data)
generate_result = generate_response.json()
prediction_id = generate_result["data"]["id"]

# Step 2: Poll for result
poll_url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"

def check_status():
    while True:
        response = requests.get(poll_url, headers={"Authorization": "Bearer $ATLASCLOUD_API_KEY"})
        result = response.json()

        if result["data"]["status"] in ["completed", "succeeded"]:
            print("Generated video:", result["data"]["outputs"][0])
            return result["data"]["outputs"][0]
        elif result["data"]["status"] == "failed":
            raise Exception(result["data"]["error"] or "Generation failed")
        else:
            # Still processing, wait 2 seconds
            time.sleep(2)

video_url = check_status()

Installeren

Installeer het vereiste pakket voor uw programmeertaal.

bash
pip install requests

Authenticatie

Alle API-verzoeken vereisen authenticatie via een API-sleutel. U kunt uw API-sleutel ophalen via het Atlas Cloud dashboard.

bash
export ATLASCLOUD_API_KEY="your-api-key-here"

HTTP-headers

python
import os

API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_KEY}"
}
Bescherm uw API-sleutel

Stel uw API-sleutel nooit bloot in client-side code of openbare repositories. Gebruik in plaats daarvan omgevingsvariabelen of een backend-proxy.

Een verzoek indienen

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "your-model",
    "prompt": "A beautiful landscape"
}

response = requests.post(url, headers=headers, json=data)
print(response.json())

Een verzoek indienen

Dien een asynchroon generatieverzoek in. De API retourneert een voorspellings-ID waarmee u de status kunt controleren en het resultaat kunt ophalen.

POST/api/v1/model/generateVideo

Verzoekinhoud

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}

data = {
    "model": "vidu/q2-turbo/image-to-video",
    "input": {
        "prompt": "A beautiful sunset over the ocean with gentle waves"
    }
}

response = requests.post(url, headers=headers, json=data)
result = response.json()

print(f"Prediction ID: {result['id']}")
print(f"Status: {result['status']}")

Antwoord

{
  "id": "pred_abc123",
  "status": "processing",
  "model": "model-name",
  "created_at": "2025-01-01T00:00:00Z"
}

Status controleren

Bevraag het voorspellings-eindpunt om de huidige status van uw verzoek te controleren.

GET/api/v1/model/prediction/{prediction_id}

Polling-voorbeeld

import requests
import time

prediction_id = "pred_abc123"
url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

while True:
    response = requests.get(url, headers=headers)
    result = response.json()
    status = result["data"]["status"]
    print(f"Status: {status}")

    if status in ["completed", "succeeded"]:
        output_url = result["data"]["outputs"][0]
        print(f"Output URL: {output_url}")
        break
    elif status == "failed":
        print(f"Error: {result['data'].get('error', 'Unknown')}")
        break

    time.sleep(3)

Statuswaarden

processingHet verzoek wordt nog verwerkt.
completedDe generatie is voltooid. Resultaten zijn beschikbaar.
succeededDe generatie is geslaagd. Resultaten zijn beschikbaar.
failedDe generatie is mislukt. Controleer het foutveld.

Voltooid antwoord

{
  "data": {
    "id": "pred_abc123",
    "status": "completed",
    "outputs": [
      "https://storage.atlascloud.ai/outputs/result.mp4"
    ],
    "metrics": {
      "predict_time": 45.2
    },
    "created_at": "2025-01-01T00:00:00Z",
    "completed_at": "2025-01-01T00:00:10Z"
  }
}

Bestanden uploaden

Upload bestanden naar Atlas Cloud opslag en ontvang een URL die u kunt gebruiken in uw API-verzoeken. Gebruik multipart/form-data om te uploaden.

POST/api/v1/model/uploadMedia

Upload-voorbeeld

import requests

url = "https://api.atlascloud.ai/api/v1/model/uploadMedia"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

with open("image.png", "rb") as f:
    files = {"file": ("image.png", f, "image/png")}
    response = requests.post(url, headers=headers, files=files)

result = response.json()
download_url = result["data"]["download_url"]
print(f"File URL: {download_url}")

Antwoord

{
  "data": {
    "download_url": "https://storage.atlascloud.ai/uploads/abc123/image.png",
    "file_name": "image.png",
    "content_type": "image/png",
    "size": 1024000
  }
}

Invoer-Schema

De volgende parameters worden geaccepteerd in de verzoekinhoud.

Totaal: 0Vereist: 0Optioneel: 0

Geen parameters beschikbaar.

Voorbeeld verzoekinhoud

json
{
  "model": "vidu/q2-turbo/image-to-video"
}

Uitvoer-Schema

De API retourneert een voorspellingsantwoord met de gegenereerde uitvoer-URL's.

idstringrequired
Unique identifier for the prediction.
statusstringrequired
Current status of the prediction.
processingcompletedsucceededfailed
modelstringrequired
The model used for generation.
outputsarray[string]
Array of output URLs. Available when status is "completed".
errorstring
Error message if status is "failed".
metricsobject
Performance metrics.
predict_timenumber
Time taken for video generation in seconds.
created_atstringrequired
ISO 8601 timestamp when the prediction was created.
Format: date-time
completed_atstring
ISO 8601 timestamp when the prediction was completed.
Format: date-time

Voorbeeldantwoord

json
{
  "id": "pred_abc123",
  "status": "completed",
  "model": "model-name",
  "outputs": [
    "https://storage.atlascloud.ai/outputs/result.mp4"
  ],
  "metrics": {
    "predict_time": 45.2
  },
  "created_at": "2025-01-01T00:00:00Z",
  "completed_at": "2025-01-01T00:00:10Z"
}

Atlas Cloud Skills

Atlas Cloud Skills integreert meer dan 300 AI-modellen rechtstreeks in uw AI-codeerassistent. Eén commando om te installeren, gebruik daarna natuurlijke taal om afbeeldingen, video's te genereren en te chatten met LLMs.

Ondersteunde clients

Claude Code
OpenAI Codex
Gemini CLI
Cursor
Windsurf
VS Code
Trae
GitHub Copilot
Cline
Roo Code
Amp
Goose
Replit
40+ ondersteunde clients

Installeren

bash
npx skills add AtlasCloudAI/atlas-cloud-skills

API-sleutel instellen

Haal uw API-sleutel op via het Atlas Cloud dashboard en stel deze in als omgevingsvariabele.

bash
export ATLASCLOUD_API_KEY="your-api-key-here"

Mogelijkheden

Eenmaal geïnstalleerd kunt u natuurlijke taal gebruiken in uw AI-assistent om toegang te krijgen tot alle Atlas Cloud modellen.

BeeldgeneratieGenereer afbeeldingen met modellen zoals Nano Banana 2, Z-Image en meer.
VideocreatieMaak video's van tekst of afbeeldingen met Kling, Vidu, Veo, enz.
LLM-chatChat met Qwen, DeepSeek en andere grote taalmodellen.
Media uploadenUpload lokale bestanden voor beeldbewerking en afbeelding-naar-video workflows.

MCP-server

De Atlas Cloud MCP-server verbindt uw IDE met meer dan 300 AI-modellen via het Model Context Protocol. Werkt met elke MCP-compatibele client.

Ondersteunde clients

Cursor
VS Code
Windsurf
Claude Code
OpenAI Codex
Gemini CLI
Cline
Roo Code
100+ ondersteunde clients

Installeren

bash
npx -y atlascloud-mcp

Configuratie

Voeg de volgende configuratie toe aan het MCP-instellingenbestand van uw IDE.

json
{
  "mcpServers": {
    "atlascloud": {
      "command": "npx",
      "args": [
        "-y",
        "atlascloud-mcp"
      ],
      "env": {
        "ATLASCLOUD_API_KEY": "your-api-key-here"
      }
    }
  }
}

Beschikbare tools

atlas_generate_imageGenereer afbeeldingen op basis van tekstprompts.
atlas_generate_videoMaak video's van tekst of afbeeldingen.
atlas_chatChat met grote taalmodellen.
atlas_list_modelsBlader door meer dan 300 beschikbare AI-modellen.
atlas_quick_generateContentcreatie in één stap met automatische modelselectie.
atlas_upload_mediaUpload lokale bestanden voor API-workflows.

API Schema

Schema niet beschikbaar

Inloggen om aanvraaggeschiedenis te bekijken

U moet ingelogd zijn om toegang te krijgen tot uw modelaanvraaggeschiedenis.

Inloggen

Vidu Q2-Turbo Image-to-Video

Vidu Q2-Turbo Image-to-Video is the fastest image-to-video model in the Q2 family. Built for maximum throughput, it animates reference images with smooth motion at ultra-low latency — perfect for high-volume pipelines, real-time previews, and cost-sensitive workflows where speed takes priority.

Why Choose This?

  • Ultra-fast generation The fastest image-to-video option in the Q2 lineup, optimized for throughput.

  • Image-driven generation Transform any image into fluid, natural video motion.

  • Affordable pricing The most cost-effective image-to-video option in the Q2 family.

  • High resolution output Generate videos in 540p, 720p, or 1080p quality.

  • Flexible duration Create videos from 1 to 10 seconds in length.

  • Audio generation Optional synchronized audio and background music.

Parameters

ParameterRequiredDescription
promptYesText description of the desired motion and action
imageYesReference image to animate (URL or upload)
resolutionNoOutput quality: 540p, 720p (default), 1080p
durationNoVideo length in seconds (1-10, default: 5)
generate_audioNoGenerate synchronized audio (default: enabled)
bgmNoAdd background music (default: enabled)
seedNoRandom seed for reproducibility

How to Use

  1. Upload your image — provide the reference image to animate.
  2. Write your prompt — describe the motion, camera movement, and action.
  3. Set resolution — choose based on your speed and quality requirements.
  4. Adjust duration — set video length up to 10 seconds.
  5. Configure audio (optional) — enable/disable audio generation and background music.
  6. Run — submit and download your video.

Pricing

ResolutionCost
540pStarts at 0.0300,+0.0300, +0.0100/sec
720pStarts at 0.0400,+0.0400, +0.0500/sec
1080pStarts at 0.1750,+0.1750, +0.0500/sec

Best Use Cases

  • High-Volume Pipelines — Process large batches of image animations quickly and affordably.
  • Real-Time Previews — Generate fast previews before committing to higher-quality renders.
  • Rapid Prototyping — Explore motion concepts from images with near-instant turnaround.
  • Cost-Sensitive Projects — Deliver animated video content within tight budget constraints.
  • Developer Testing — Integrate image-to-video into applications with minimal latency.

Pro Tips

  • Use concise, action-focused prompts — the Turbo pipeline responds well to clear, direct motion instructions.
  • Use 540p for rapid iteration and upgrade to 720p or 1080p for final deliverables.
  • Enable generate_audio to add context and energy to the animation without extra effort.
  • Use high-quality, well-lit source images to maximize output quality at this speed tier.
  • Use seed to lock in a result you like while experimenting with other parameters.

Notes

  • Both prompt and image are required fields.
  • Maximum video duration is 10 seconds.
  • Audio generation adds synchronized sound effects and ambient audio.
  • BGM adds background music appropriate to the scene mood.
  • Ensure uploaded image URLs are publicly accessible.

Begin met 300+ Modellen,

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