Vidu Q3 Image To Video
vidu/q3/image-to-video
Vidu Q3 Image-to-Video turns text prompts into high-quality videos with exceptional visual fidelity and diverse motion. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Examples
Parameters
| Name | Type | Default | Constraints | Description |
|---|---|---|---|---|
| image *Image | image_upload | — | 0–1 items | The URL of the image to generate an image from. |
| prompt *Prompt | textarea | — | ≤ 5000 chars | The positive prompt for the generation. |
| resolutionResolution | select | 720p | 540p | 720p | 1080p | The resolution of the generated media. |
| durationDuration | slider | 5 | 1 ~ 16 · step 1 | The duration of the generated media in seconds. |
| movement_amplitudeMovement Amplitude | select | auto | auto | small | medium | large | The movement amplitude of objects in the frame. Defaults to auto, accepted value: auto small medium large. |
| generate_audioGenerate Audio | boolean | true | — | Whether to generate audio. |
| bgmBgm | boolean | true | — | The background music for generating the output. |
| seedSeed | number | — | — | The random seed to use for the generation. -1 means a random seed will be used. |
Output fields
| Field | Type | Description |
|---|---|---|
| videos | array<string> | Generated video URL(s). |
API
Call this model through one unified REST API. Get a key on the API Keys page.
cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/vidu/q3/image-to-video" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": {
"image": [
"https://assets-public.namifusion.com/uploads/images/2026-03-06/b7a05ad27202.png"
],
"prompt": "Transform the serene sunset image into a dynamic video showcasing the transition from day to night, with gentle ocean waves and a sky full of stars.",
"resolution": "1080p",
"duration": 8,
"movement_amplitude": "medium",
"generate_audio": true,
"bgm": true,
"seed": 42
}
}'
# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
-H "Authorization: Bearer YOUR_API_KEY"Python
import time, requests
API_KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}
# 1) Submit
resp = requests.post(
"https://www.namifusion.com/api/v1/marketplace/run/vidu/q3/image-to-video",
headers=HEADERS,
json={
"input": {
"image": [
"https://assets-public.namifusion.com/uploads/images/2026-03-06/b7a05ad27202.png"
],
"prompt": "Transform the serene sunset image into a dynamic video showcasing the transition from day to night, with gentle ocean waves and a sky full of stars.",
"resolution": "1080p",
"duration": 8,
"movement_amplitude": "medium",
"generate_audio": True,
"bgm": True,
"seed": 42
}
},
)
resp.raise_for_status() # 401/402/429/5xx stop here instead of polling a bad task
task = resp.json()
# 2) Poll until a terminal state (completed / failed / cancelled).
# This model is allowed up to 300s server-side.
deadline = time.time() + 360
while task.get("status") not in ("completed", "failed", "cancelled"):
if time.time() > deadline:
raise TimeoutError(f"still {task.get('status')} — keep the task_uuid and poll later")
time.sleep(3)
poll = requests.get(f"https://www.namifusion.com/api/v1/marketplace/run/tasks/{task['task_uuid']}", headers=HEADERS)
poll.raise_for_status()
task = poll.json()
print(task["status"], task.get("output"))JavaScript
const API_KEY = "YOUR_API_KEY";
const HEADERS = { Authorization: `Bearer ${API_KEY}` };
// 1) Submit
const resp = await fetch("https://www.namifusion.com/api/v1/marketplace/run/vidu/q3/image-to-video", {
method: "POST",
headers: { ...HEADERS, "Content-Type": "application/json" },
body: JSON.stringify({
"input": {
"image": [
"https://assets-public.namifusion.com/uploads/images/2026-03-06/b7a05ad27202.png"
],
"prompt": "Transform the serene sunset image into a dynamic video showcasing the transition from day to night, with gentle ocean waves and a sky full of stars.",
"resolution": "1080p",
"duration": 8,
"movement_amplitude": "medium",
"generate_audio": true,
"bgm": true,
"seed": 42
}
}),
});
if (!resp.ok) throw new Error(`submit failed: ${resp.status} ${await resp.text()}`);
let task = await resp.json();
// 2) Poll until a terminal state (completed / failed / cancelled).
// This model is allowed up to 300s server-side.
const deadline = Date.now() + 360 * 1000;
while (!["completed", "failed", "cancelled"].includes(task.status)) {
if (Date.now() > deadline) throw new Error(`still ${task.status} — keep the task_uuid and poll later`);
await new Promise((r) => setTimeout(r, 3000));
const poll = await fetch(`https://www.namifusion.com/api/v1/marketplace/run/tasks/${task.task_uuid}`, { headers: HEADERS });
if (!poll.ok) throw new Error(`poll failed: ${poll.status}`);
task = await poll.json();
}
console.log(task.status, task.output);Documentation
Vidu Q3 Image To Video
Transform Text Prompts into High-Quality Videos
Vidu Q3 Image-to-Video is a cutting-edge AI model that converts text prompts into stunning videos with exceptional visual fidelity and diverse motion. With a ready-to-use REST inference API, it offers the best performance with no cold starts and affordable pricing.
🚀 Key Features
- Image-driven Generation: Transform any image into dynamic video with natural motion.
- High Resolution Output: Generate videos in 540p, 720p, or 1080p quality.
- Flexible Duration: Create videos from 1 to 16 seconds in length.
- Audio Generation: Optional synchronized audio and background music.
- Motion Control: Adjust movement amplitude for subtle or dynamic animations.
🛠️ Technical Specifications
| Specification | Details |
|---|---|
| Model Architecture | Advanced AI video generation |
| Input Format | Image URL, Text Prompt |
| Output Format | Video |
| Resolution | 540p, 720p, 1080p |
| Duration | 1-16 seconds |
| Frame Rate | Variable, based on resolution and duration |
| Latency | Minimal, optimized for performance |
💰 Pricing
| Resolution | Cost per Second |
|---|---|
| 540p | $0.07 |
| 720p | $0.15 |
| 1080p | $0.16 |
💡 Best Use Cases
- Photo Animation: Bring portraits, landscapes, and product images to life.
- Social Media Content: Create engaging video content from static images.
- Marketing & Ads: Generate dynamic promotional videos from product photos.
- Storytelling: Animate illustrations and artwork for narratives.
🔗 Related Models
- Vidu Q3 Text-to-Video: Generate video directly from text descriptions.
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