vidu/q2-pro/image-to-video

Vidu Q2-Pro 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.

IMAGE-TO-VIDEONEW
Home
Explore
vidu/q2-pro/image-to-video
Vidu Q2-Pro Image-to-video
image-to-video
PRO

Vidu Q2-Pro 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.

INPUT

Loading parameter configuration...

OUTPUT

Idle
Your generated videos will appear here
Configure your settings and click Run to get started

Your request will cost $0.034 per run. For $10 you can run this model approximately 294 times.

Here's what you can do next:

Parametri

Esempio di codice

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-pro/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()

Installa

Installa il pacchetto richiesto per il tuo linguaggio.

bash
pip install requests

Autenticazione

Tutte le richieste API richiedono l'autenticazione tramite una chiave API. Puoi ottenere la tua chiave API dalla dashboard di Atlas Cloud.

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

Header HTTP

python
import os

API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_KEY}"
}
Proteggi la tua chiave API

Non esporre mai la tua chiave API nel codice lato client o nei repository pubblici. Utilizza invece variabili d'ambiente o un proxy backend.

Invia una richiesta

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())

Invia una richiesta

Invia una richiesta di generazione asincrona. L'API restituisce un ID di previsione che puoi usare per controllare lo stato e recuperare il risultato.

POST/api/v1/model/generateVideo

Corpo della richiesta

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-pro/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']}")

Risposta

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

Controlla lo stato

Interroga l'endpoint di previsione per verificare lo stato attuale della tua richiesta.

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

Esempio di polling

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)

Valori di stato

processingLa richiesta è ancora in fase di elaborazione.
completedLa generazione è completata. I risultati sono disponibili.
succeededLa generazione è riuscita. I risultati sono disponibili.
failedLa generazione è fallita. Controlla il campo errore.

Risposta completata

{
  "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"
  }
}

Carica file

Carica file nello storage Atlas Cloud e ottieni un URL utilizzabile nelle tue richieste API. Usa multipart/form-data per il caricamento.

POST/api/v1/model/uploadMedia

Esempio di caricamento

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}")

Risposta

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

Schema di input

I seguenti parametri sono accettati nel corpo della richiesta.

Totale: 0Obbligatorio: 0Opzionale: 0

Nessun parametro disponibile.

Esempio di corpo della richiesta

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

Schema di output

L'API restituisce una risposta di previsione con gli URL degli output generati.

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

Esempio di risposta

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 integra oltre 300 modelli di IA direttamente nel tuo assistente di codifica IA. Un comando per installare, poi usa il linguaggio naturale per generare immagini, video e chattare con LLM.

Client supportati

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

Installa

bash
npx skills add AtlasCloudAI/atlas-cloud-skills

Configura chiave API

Ottieni la tua chiave API dalla dashboard di Atlas Cloud e impostala come variabile d'ambiente.

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

Funzionalità

Una volta installato, puoi usare il linguaggio naturale nel tuo assistente IA per accedere a tutti i modelli Atlas Cloud.

Generazione di immaginiGenera immagini con modelli come Nano Banana 2, Z-Image e altri.
Creazione di videoCrea video da testo o immagini con Kling, Vidu, Veo, ecc.
Chat LLMChatta con Qwen, DeepSeek e altri grandi modelli linguistici.
Caricamento mediaCarica file locali per la modifica di immagini e flussi di lavoro da immagine a video.

Server MCP

Il server MCP di Atlas Cloud collega il tuo IDE con oltre 300 modelli di IA tramite il Model Context Protocol. Funziona con qualsiasi client compatibile MCP.

Client supportati

Cursor
VS Code
Windsurf
Claude Code
OpenAI Codex
Gemini CLI
Cline
Roo Code
100+ client supportati

Installa

bash
npx -y atlascloud-mcp

Configurazione

Aggiungi la seguente configurazione al file delle impostazioni MCP del tuo IDE.

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

Strumenti disponibili

atlas_generate_imageGenera immagini da prompt testuali.
atlas_generate_videoCrea video da testo o immagini.
atlas_chatChatta con grandi modelli linguistici.
atlas_list_modelsEsplora oltre 300 modelli di IA disponibili.
atlas_quick_generateCreazione di contenuti in un solo passaggio con selezione automatica del modello.
atlas_upload_mediaCarica file locali per i flussi di lavoro API.

API Schema

Schema not available

Please log in to view request history

You need to be logged in to access your model request history.

Log In

Vidu Q2-Pro Image-to-Video

Vidu Q2-Pro Image-to-Video is a professional-grade AI video generation model that brings static images to life. Upload a reference image, describe the motion, and the model generates high-quality video up to 1080p with smooth animation, rich detail, and optional audio — delivering cinematic results for demanding creative and commercial use cases.

Why Choose This?

  • Professional quality Rich detail, smooth motion, and cinematic output at up to 1080p.

  • Image-driven generation Transform any image into dynamic video with natural, expressive motion.

  • Flexible duration Create videos up to 10 seconds in length.

  • Audio generation Optional synchronized audio and background music.

  • Motion control Adjust movement amplitude for subtle or dynamic animations.

  • Prompt Enhancer Built-in tool to automatically improve your motion descriptions.

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)
movement_amplitudeNoMotion intensity: auto (default), small, medium, large
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 — higher resolution for better quality, lower for faster processing.
  4. Adjust duration — set video length up to 10 seconds.
  5. Configure audio (optional) — enable/disable audio generation and background music.
  6. Set motion intensity (optional) — control how dynamic the movement is.
  7. Run — submit and download your video.

Pricing

ResolutionCost
540pStarts at 0.0400,+0.0400, +0.0250/sec
720pStarts at 0.0750,+0.0750, +0.0500/sec
1080pStarts at 0.2750,+0.2750, +0.0750/sec

Best Use Cases

  • Photo Animation — Bring portraits, landscapes, and product images to life with cinematic quality.
  • Marketing & Ads — Generate high-quality promotional videos from product or brand photography.
  • Social Media Content — Create visually polished video content for professional channels.
  • Storytelling — Animate illustrations and artwork with rich, expressive motion.
  • Film Previs — Explore shot compositions and motion concepts from storyboard images.

Pro Tips

  • Use the Prompt Enhancer to refine your motion descriptions.
  • Be specific about movement direction, speed, camera angles, and framing.
  • Set movement_amplitude to "small" for subtle, cinematic motion or "large" for dramatic action.
  • Enable generate_audio for realistic sound effects matching the animated scene.
  • Use high-quality, well-composed source images for the best video output.
  • Describe environmental effects (wind, water, light shifts) for more immersive results.

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.

Inizia con Oltre 300 Modelli,

Esplora tutti i modelli