Vidu Q2-Pro 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.
Eingabe
Ausgabe
InaktivJede Ausführung kostet $0.085. Für $10 können Sie ca. 117 Mal ausführen.
Sie können fortfahren mit:
Codebeispiel
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/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()Installieren
Installieren Sie das erforderliche Paket für Ihre Programmiersprache.
pip install requestsAuthentifizierung
Alle API-Anfragen erfordern eine Authentifizierung über einen API-Schlüssel. Sie können Ihren API-Schlüssel über das Atlas Cloud Dashboard erhalten.
export ATLASCLOUD_API_KEY="your-api-key-here"HTTP-Header
import os
API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {API_KEY}"
}Geben Sie Ihren API-Schlüssel niemals in clientseitigem Code oder öffentlichen Repositories preis. Verwenden Sie stattdessen Umgebungsvariablen oder einen Backend-Proxy.
Anfrage senden
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())Anfrage senden
Senden Sie eine asynchrone Generierungsanfrage. Die API gibt eine Vorhersage-ID zurück, mit der Sie den Status prüfen und das Ergebnis abrufen können.
/api/v1/model/generateVideoAnfragekörper
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/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']}")Antwort
{
"id": "pred_abc123",
"status": "processing",
"model": "model-name",
"created_at": "2025-01-01T00:00:00Z"
}Status prüfen
Fragen Sie den Vorhersage-Endpunkt ab, um den aktuellen Status Ihrer Anfrage zu überprüfen.
/api/v1/model/prediction/{prediction_id}Abfrage-Beispiel
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)Statuswerte
processingDie Anfrage wird noch verarbeitet.completedDie Generierung ist abgeschlossen. Ergebnisse sind verfügbar.succeededDie Generierung war erfolgreich. Ergebnisse sind verfügbar.failedDie Generierung ist fehlgeschlagen. Überprüfen Sie das Fehlerfeld.Abgeschlossene Antwort
{
"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"
}
}Dateien hochladen
Laden Sie Dateien in den Atlas Cloud Speicher hoch und erhalten Sie eine URL, die Sie in Ihren API-Anfragen verwenden können. Verwenden Sie multipart/form-data zum Hochladen.
/api/v1/model/uploadMediaUpload-Beispiel
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}")Antwort
{
"data": {
"download_url": "https://storage.atlascloud.ai/uploads/abc123/image.png",
"file_name": "image.png",
"content_type": "image/png",
"size": 1024000
}
}Eingabe-Schema
Die folgenden Parameter werden im Anfragekörper akzeptiert.
Keine Parameter verfügbar.
Beispiel-Anfragekörper
{
"model": "vidu/q2-pro/reference-to-video"
}Ausgabe-Schema
Die API gibt eine Vorhersage-Antwort mit den generierten Ausgabe-URLs zurück.
Beispielantwort
{
"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 integriert über 300 KI-Modelle direkt in Ihren KI-Coding-Assistenten. Ein Befehl zur Installation, dann verwenden Sie natürliche Sprache, um Bilder, Videos zu generieren und mit LLMs zu chatten.
Unterstützte Clients
Installieren
npx skills add AtlasCloudAI/atlas-cloud-skillsAPI-Schlüssel einrichten
Erhalten Sie Ihren API-Schlüssel über das Atlas Cloud Dashboard und setzen Sie ihn als Umgebungsvariable.
export ATLASCLOUD_API_KEY="your-api-key-here"Funktionen
Nach der Installation können Sie natürliche Sprache in Ihrem KI-Assistenten verwenden, um auf alle Atlas Cloud Modelle zuzugreifen.
MCP-Server
Der Atlas Cloud MCP-Server verbindet Ihre IDE mit über 300 KI-Modellen über das Model Context Protocol. Funktioniert mit jedem MCP-kompatiblen Client.
Unterstützte Clients
Installieren
npx -y atlascloud-mcpKonfiguration
Fügen Sie die folgende Konfiguration zur MCP-Einstellungsdatei Ihrer IDE hinzu.
{
"mcpServers": {
"atlascloud": {
"command": "npx",
"args": [
"-y",
"atlascloud-mcp"
],
"env": {
"ATLASCLOUD_API_KEY": "your-api-key-here"
}
}
}
}Verfügbare Werkzeuge
API-Schema
Schema nicht verfügbarAnmelden, um Anfrageverlauf anzuzeigen
Sie müssen angemeldet sein, um auf Ihren Modellanfrageverlauf zuzugreifen.
AnmeldenVidu Q2-Pro Reference-to-Video
Vidu Q2-Pro Reference-to-Video is a professional-grade AI video generation model that generates video featuring specific subjects with cinematic precision. Provide subject images alongside a motion prompt, and the model delivers up to 1080p video with rich detail, strict subject fidelity, and smooth natural motion — ideal for high-end creative, brand, and production workflows.
Why Choose This?
-
Professional quality Cinematic detail and smooth motion with faithful subject preservation at up to 1080p.
-
Subject-driven generation Feature specific characters or objects with strict visual fidelity throughout the video.
-
Flexible duration Create videos up to 10 seconds in length.
-
Audio generation Optional audio with configurable type: full audio, speech only, or sound effects only.
-
Motion control Adjust movement amplitude for subtle or dynamic animations.
-
Prompt Enhancer Built-in tool to automatically improve your motion descriptions.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired motion and action |
| subjects | Yes | One or more subject images to feature in the video (URL or upload) |
| resolution | No | Output quality: 540p, 720p (default), 1080p |
| duration | No | Video length in seconds (1-10, default: 5) |
| aspect_ratio | No | Aspect ratio of the output: 16:9 (default), 9:16, 1:1, 4:3, 3:4 |
| movement_amplitude | No | Motion intensity: auto (default), small, medium, large |
| generate_audio | No | Whether to generate audio for the video (default: true) |
| audio_type | No | Audio type when generate_audio is true: all (default), speech_only, sound_effect_only |
| seed | No | Seed for generation (default: 0); use -1 for a random seed |
How to Use
- Upload your subject images — provide one or more images of the subjects to feature in the video.
- Write your prompt — describe the motion, camera movement, and desired action.
- Set resolution — higher resolution for better quality, lower for faster processing.
- Adjust duration — set video length up to 10 seconds.
- Configure audio (optional) — enable audio and select the audio type: all, speech_only, or sound_effect_only.
- Set motion intensity (optional) — adjust movement_amplitude for subtle or dynamic animations.
- Run — submit and download your video.
Pricing
| Resolution | Cost |
|---|---|
| 540p | Starts at 0.0250/sec |
| 720p | Starts at 0.0250/sec |
| 1080p | Starts at 0.0500/sec |
Best Use Cases
- Character Consistency — Generate high-quality video featuring a specific character or subject with strict visual fidelity.
- Brand & Product Videos — Produce professional-grade product animations while preserving brand identity.
- Film & Narrative Production — Animate reference imagery for previs, concept reels, or final narrative content.
- Style-Consistent Campaigns — Create multiple video assets that maintain a unified visual style across a campaign.
- Premium Social Media Content — Publish cinematic, reference-guided video for high-visibility channels.
Pro Tips
- Use the Prompt Enhancer to refine your motion descriptions.
- Provide high-resolution, well-composed subject images for the strongest visual consistency.
- Be specific about movement direction, speed, camera angles, and framing in your prompt.
- Use multiple subject images to define different characters or scene elements independently.
- Set movement_amplitude to "small" for precise, controlled motion or "large" for expressive action.
- Set audio_type to speech_only when the scene involves dialogue, or sound_effect_only for purely ambient audio.
- Describe lighting, atmosphere, and environmental effects in the prompt for richer scene quality.
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.
Related Models
- Vidu Q2-Pro-Fast Reference-to-Video — Pro quality reference-to-video with significantly faster generation speed.
- Vidu Q2-Pro Image-to-Video — Professional quality animation from a single reference image.
- Vidu Q2-Pro Start-End-to-Video — Professional quality video generation with precise start and end frame control.
