AI Text to Image Generator
Create polished images from prompts with leading AI image models, flexible settings, and a fast browser-based workflow.
Alibaba/wan-2.7-image-to-video
wan-2.7-image-to-video
High-quality image animation via Alibaba Wan 2.7 API with realistic temporal consistency. High uptime at competitive enterprise rates. Test the model output, compare visual quality, and scale successful ideas through stable image, video, or multimodal API workflows for teams.
Image to Video
Related Wan 2.7 Models
API Examples
Submit Example
// Step 1: Submit generation request
const response = await fetch('https://api.flaq.ai/api/v1/video/task', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': 'Bearer YOUR_API_KEY'
},
body: JSON.stringify({
model_name: 'wan-2.7-image-to-video',
prompt: 'Gentle camera push-in; leaves rustle softly in the breeze',
duration: 6,
resolution: '720p',
negative_prompt: 'blur, low quality',
seed: 42,
image_url: 'https://example.com/first-frame.jpg',
image_end_url: 'https://example.com/last-frame.jpg',
audio_url: 'https://example.com/driving-audio.mp3',
video_url: 'https://example.com/reference-continuation.mp4'
})
});
const { data } = await response.json();
const taskId = data.task_id;
Polling Example
// Step 2: Poll for results
const taskId = data.task_id;
const pollResult = async (taskId) => {
const res = await fetch(`https://api.flaq.ai/api/v1/video/${taskId}`, {
headers: { 'Authorization': 'Bearer YOUR_API_KEY' }
});
return res.json();
};
while (true) {
const pollResultData = await pollResult(taskId);
const status = pollResultData.data.task_status;
if (status === 'succeed') {
console.log(pollResultData.data.task_result.videos[0].url);
break;
}
if (status === 'failed') {
console.error(pollResultData.data.task_status_msg);
break;
}
await new Promise(resolve => setTimeout(resolve, 10000));
}
Submit Example
import requests
response = requests.post(
'https://api.flaq.ai/api/v1/video/task',
headers={
'Content-Type': 'application/json',
'Authorization': 'Bearer YOUR_API_KEY'
},
json={
'model_name': 'wan-2.7-image-to-video',
'prompt': 'Gentle camera push-in; leaves rustle softly in the breeze',
'duration': 6,
'resolution': '720p',
'negative_prompt': 'blur, low quality',
'seed': 42,
'image_url': 'https://example.com/first-frame.jpg',
'image_end_url': 'https://example.com/last-frame.jpg',
'audio_url': 'https://example.com/driving-audio.mp3',
'video_url': 'https://example.com/reference-continuation.mp4',
}
)
result = response.json()
task_id = result['data']['task_id']
Polling Example
# Step 2: Poll for results
task_id = response.json()['data']['task_id']
poll_url = f"https://api.flaq.ai/api/v1/video/{task_id}"
while True:
poll_result = requests.get(poll_url, headers={'Authorization': 'Bearer YOUR_API_KEY'}).json()
status = poll_result['data']['task_status']
if status == 'succeed':
print(poll_result['data']['task_result']['videos'][0]['url'])
break
if status == 'failed':
print(poll_result['data']['task_status_msg'])
break
time.sleep(10)
Submit Example
curl -X POST https://api.flaq.ai/api/v1/video/task \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model_name": "wan-2.7-image-to-video",
"prompt": "Gentle camera push-in; leaves rustle softly in the breeze",
"duration": 6,
"resolution": "720p",
"negative_prompt": "blur, low quality",
"seed": 42,
"image_url": "https://example.com/first-frame.jpg",
"image_end_url": "https://example.com/last-frame.jpg",
"audio_url": "https://example.com/driving-audio.mp3",
"video_url": "https://example.com/reference-continuation.mp4"
}'
Polling Example
# Step 2: Poll for results
# Replace {task_id} with the task_id returned from the submit response
curl -X GET "https://api.flaq.ai/api/v1/video/{task_id}" \
-H "Authorization: Bearer YOUR_API_KEY"
Try the AI Video Generator now
Wan 2.7 Image to Video Pricing
| Parameters | Price | Original Price | Discount |
|---|
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Professional Wan 2.7 Image-to-Video API (Alibaba's Advanced Video Animation)
Alibaba Wan 2.7 Image-to-Video API delivers production-grade AI video animation for developers and creative teams. This advanced image-to-video API integration enables you to transform static images into high-quality cinematic animated video across 2-15 second durations. Built on Alibaba's 14B-parameter Wan 2.7 architecture with more than 5x faster inference than previous versions, the Wan 2.7 model combines context-aware motion synthesis with superior temporal consistency, while the API provides stable integration with optional audio support for professional-grade animation workflows on Flaq AI.
Key Features of Wan 2.7 Image-to-Video API
- 14B-Parameter Architecture with 5x Faster Inference: The Wan 2.7 model delivers significantly improved animation quality and consistency over its predecessors while achieving more than 5x faster inference speeds—enabling production-grade image-to-video generation at scale through the API.
- Context-Aware Motion Synthesis: The Wan 2.7 model analyzes input images to generate natural, physics-consistent motion that preserves visual style, object relationships, and scene coherence—delivering professional animation quality through advanced spatiotemporal modeling.
- Superior Temporal Consistency: Wan 2.7 maintains high visual coherence across frames, eliminating flickering and ensuring characters, objects, and environments remain stable throughout animated sequences.
- Optional Audio Integration: Wan 2.7 Image-to-Video API supports optional audio generation synchronized to the visual timeline, with optional custom audio URL upload—enabling polished, production-ready animated output without separate audio workflows.
- Flexible Duration Control: Animate images into video clips from 2 to 15 seconds with precise duration settings, ideal for social media clips, product showcases, and narrative animations through the Wan 2.7 API.
- Dynamic Aspect Ratio Support: API supports aspect ratios determined by the input image dimensions, ensuring the animation output maintains the original compositional intent and proportions of the source image.
- Physics-Aware Animation Quality: The Wan 2.7 model understands realistic physics, fluid dynamics, and environmental logic—generating motion that feels authentic and natural across diverse scene types and subject categories.
How to Use Wan 2.7 Image-to-Video API for Professional Video Animation on Flaq AI
- Input: Source image (JPEG/PNG) plus optional natural-language motion prompts describing desired camera work, object motion, and scene evolution
- Output: High-resolution 720p or 1080p animated videos with optional audio (MP4 format) delivered via secure CDN URLs through Wan 2.7 Image-to-Video API integration
- Duration: Flexible animation length from 2 to 15 seconds with precise control
- Resolution: 720p or 1080p output (aspect ratio determined by input image)
- Aspect Ratio: Determined by input image dimensions (not user-configurable)
- Audio: Optional audio generation with custom audio URL support
- Capabilities: Image-to-video animation, physics-aware motion synthesis, optional audio generation, superior temporal consistency, and context-aware motion preservation through Wan 2.7 API.
Best Use Cases for Wan 2.7 Image-to-Video API Integration
- E-commerce Product Animation: Transform product photography into dynamic video showcases and lifestyle animations with realistic physics and motion—ideal for online retailers requiring professional-quality animated content through scalable Wan 2.7 API integration.
- Advertising & Marketing Campaigns: Bring brand imagery, campaign visuals, and promotional photos to life with natural motion and optional audio—delivering compelling animated content for social media and digital advertising at scale.
- Film & Entertainment Pre-visualization: Rapidly prototype character-driven scenes and visual concepts from storyboard images with physics-aware motion synthesis for efficient pre-production workflows.
- Portrait & Character Animation: Animate portraits, character illustrations, and concept art with natural motion dynamics and stable visual fidelity through the Wan 2.7 Image-to-Video API—ideal for entertainment and gaming content.
- Educational Content Animation: Bring scientific diagrams, historical illustrations, and infographic images to life with realistic motion and optional audio for enhanced educational experiences through professional API integration.
Note Please ensure your input images and prompts comply with platform content guidelines. If an error occurs, review your content for restricted material, adjust it, and try again.
Wan 2.7 Image-to-Video vs Competitors: Comparative Analysis
-
Wan 2.7 vs. Wan 2.6 Image-to-Video Wan 2.6 delivers strong animation quality with optional audio support. Wan 2.7 Image-to-Video API advances with more than 5x faster inference, significantly improved motion quality and temporal consistency, better prompt adherence, and longer duration support—making it the superior choice for production workflows requiring both quality and throughput.
-
Wan 2.7 vs. Kling 3.0 Image-to-Video Kling 3.0 is strong in human motion synthesis and character animation. Wan 2.7 Image-to-Video API counters with broader environmental rendering capabilities, physics-aware motion synthesis, superior performance in object dynamics and scene animation, and flexible pricing—making it versatile for diverse animation scenarios.
-
Wan 2.7 vs. Runway Gen-3 Image-to-Video Runway Gen-3 offers strong creative flexibility and artistic controls. Wan 2.7 Image-to-Video API distinguishes itself with 14B-parameter architecture, physics-aware motion synthesis, optional audio integration, and more than 5x faster inference—delivering higher cinematic realism and professional animation quality.
-
Wan 2.7 vs. Veo 3.1 Fast Image-to-Video Veo 3.1 Fast leverages Google DeepMind's architecture for rapid animation. Wan 2.7 Image-to-Video API offers physics-aware motion synthesis, optional audio integration, extended duration up to 15 seconds, and flexible resolution-based pricing—making it the preferred choice for high-fidelity, long-form animation production.
-
Wan 2.7 vs. Seedance V2.0 Image-to-Video Seedance V2.0 offers broad aspect ratio support and optional camera control. Wan 2.7 Image-to-Video API differentiates with 14B-parameter architecture, physics-aware motion synthesis, optional audio integration, and Alibaba's advanced spatiotemporal modeling—delivering superior environmental rendering and natural scene dynamics.
Explore multiple Creative Tools with Flaq AI
Explore several AI creation tools for quick image and video workflows in your browser, then scale successful ideas with Flaq AI's production-ready model APIs. Flaq AI provides a unified API layer for all models, making it easy to use and scale your workflows.
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