vidu/q2/reference-to-video

Vidu Q2 Reference-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/reference-to-video
Vidu Q2 Reference-to-video
Referentie-naar-Video

Vidu Q2 Reference-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 $0.064. Voor $10 kunt u ongeveer 156 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/reference-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/reference-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/reference-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 Reference-to-Video

Vidu Q2 Reference-to-Video is a capable AI video generation model that generates video featuring specific subjects. Provide subject images alongside a motion prompt, and the model produces smooth, natural video that faithfully preserves each subject's appearance and identity — offering a strong balance of quality and cost for subject-driven workflows.

Why Choose This?

  • Balanced quality and speed Solid visual consistency and motion quality at a mid-tier price point.

  • Subject-driven generation Feature specific characters or objects with consistent appearance throughout the video.

  • 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 audio with configurable type: full audio, speech only, or sound effects only.

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

Parameters

ParameterRequiredDescription
promptYesText description of the desired motion and action
subjectsYesOne or more subject images to feature in the video (URL or upload)
resolutionNoOutput quality: 540p, 720p (default), 1080p
durationNoVideo length in seconds (1-10, default: 5)
aspect_ratioNoAspect ratio of the output: 16:9 (default), 9:16, 1:1, 4:3, 3:4
movement_amplitudeNoMotion intensity: auto (default), small, medium, large
generate_audioNoWhether to generate audio for the video (default: true)
audio_typeNoAudio type when generate_audio is true: all (default), speech_only, sound_effect_only
seedNoSeed for generation (default: 0); use -1 for a random seed

How to Use

  1. Upload your subject images — provide one or more images of the subjects to feature in the video.
  2. Write your prompt — describe the motion, camera movement, and desired 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 audio and select the audio type: all, speech_only, or sound_effect_only.
  6. Set motion intensity (optional) — adjust movement_amplitude for subtle or dynamic animations.
  7. Run — submit and download your video.

Pricing

ResolutionCost
540pStarts at 0.0750,+0.0750, +0.0250/sec
720pStarts at 0.1250,+0.1250, +0.0250/sec
1080pStarts at 0.3750,+0.3750, +0.0500/sec

Best Use Cases

  • Character Consistency — Generate video featuring a specific character or subject across multiple scenes.
  • Product Videos — Animate product imagery while maintaining accurate brand appearance.
  • Style-Consistent Content — Produce video that matches the visual aesthetic of existing creative assets.
  • Social Media Content — Create animated clips grounded in your existing image library.
  • Concept Development — Explore reference-guided motion ideas quickly and affordably.

Pro Tips

  • Use the Prompt Enhancer to refine your motion descriptions.
  • Provide clear, well-lit subject images for the most consistent visual output.
  • Be specific about movement direction, speed, and camera angles in your prompt.
  • Use multiple subject images when the scene involves more than one character or object.
  • Set audio_type to speech_only when the scene involves dialogue, or sound_effect_only for purely ambient audio.
  • Start with 540p for previews and switch to 720p or 1080p for final output.

Notes

  • Both prompt and subjects are required fields.
  • Maximum video duration is 10 seconds.
  • When generate_audio is true, audio_type controls what is generated: all includes speech and sound effects, speech_only generates voice audio, sound_effect_only generates ambient and environmental sounds.
  • Ensure uploaded subject image URLs are publicly accessible.

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