Text to Image
Create AI images from text prompts
Alibaba/wan-3.0-text-to-video
wan-3.0-text-to-video
Free to try Alibaba Wan 3.0 API for Text-to-Video and turn written concepts into videos for storyboards, campaigns, and creative production on Flaq AI.
Text to Video
Related Wan 3.0 Models
API Examples
Submit Example
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-3.0-text-to-video',
prompt: 'A cinematic tracking shot follows a cyclist through a rain-soaked neon city at night',
duration: 8,
resolution: '1080p',
aspect_ratio: '16:9',
sound: true,
seed: 42
})
});
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-3.0-text-to-video',
'prompt': 'A cinematic tracking shot follows a cyclist through a rain-soaked neon city at night',
'duration': 8,
'resolution': '1080p',
'aspect_ratio': '16:9',
'sound': True,
'seed': 42
}
)
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-3.0-text-to-video",
"prompt": "A cinematic tracking shot follows a cyclist through a rain-soaked neon city at night",
"duration": 8,
"resolution": "1080p",
"aspect_ratio": "16:9",
"sound": true,
"seed": 42
}'
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 3.0 Text to Video Pricing
| Parameters | Price | Original Price | Discount |
|---|
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Wan 3.0 API for Text-to-Video (Flexible AI Video Generation)
Wan 3.0 API for Text-to-Video turns natural-language prompts into AI-generated video clips for creative, marketing, and production workflows. The model supports flexible duration, multiple resolutions and aspect ratios, optional sound generation, and seed-based control over generation randomness. Flaq AI provides a task-based API integration for submitting prompts, tracking generation, and retrieving finished videos.
Key Features of Wan 3.0 API for Text-to-Video
- Prompt-Driven Video Generation: Describe subjects, actions, environments, camera movement, pacing, lighting, and atmosphere in natural language.
- Flexible Clip Duration: Create short concepts or longer sequences with an adjustable duration suited to different content workflows.
- Multiple Resolution Options: Balance generation requirements across standard definition, high definition, and Full HD output.
- Versatile Aspect Ratios: Produce landscape, portrait, square, and classic frame formats for web, mobile, social, and presentation use.
- Optional Sound Generation: Enable sound generation when the target video needs audio, or disable it for silent workflows.
- Seed-Based Iteration: Use an optional seed to control generation randomness when comparing prompt or setting variations.
How to Use Wan 3.0 API for Text-to-Video on Flaq AI
- Input: A natural-language prompt describing the scene, subject behavior, visual style, camera direction, and intended sound.
- Output: An AI-generated video returned through the Flaq AI task workflow for review, storage, editing, or publishing.
- Generation Controls: Select the duration, resolution, aspect ratio, sound preference, and optional seed for each request.
- Task Handling: Submit the generation request, store the returned task identifier, and poll the video endpoint until processing completes.
- Prompt Strategy: Keep the main action clear and use concrete camera, timing, environment, and audio cues when precise direction matters.
Best Use Cases for Wan 3.0 Text-to-Video API Integration
- Marketing and Social Video: Generate campaign concepts, product stories, platform-specific posts, and promotional creative from briefs.
- Creative Previsualization: Explore shot ideas, camera movement, pacing, and atmosphere before committing to a larger production.
- Product Demonstrations: Turn product descriptions and benefit statements into visual launch concepts and demonstration sequences.
- Content Automation: Add configurable text-to-video generation to publishing platforms, creative tools, and internal media systems.
- Audio-Visual Prototyping: Test concepts with generated sound before refining music, dialogue, effects, or post-production assets.
Note Clear prompts and deliberate generation settings improve controllability. Review visual continuity, motion, sound, and artifacts before using generated clips in production.
Wan 3.0 Text-to-Video vs Competitors: Comparative Analysis
-
Wan 3.0 vs. Wan 2.7 Text-to-Video
Wan 2.7 supports the established Wan text-to-video workflow. Wan 3.0 expands the available duration and resolution controls while retaining a familiar prompt-driven task integration. -
Wan 3.0 vs. Kling 3.0 Turbo Text-to-Video
Kling 3.0 Turbo is positioned for fast text-to-video iteration. Wan 3.0 offers an alternative for teams standardizing their video applications on the Wan model family and its control set. -
Wan 3.0 vs. Seedance 2.5 Text-to-Video
Seedance 2.5 belongs to ByteDance's audio-visual generation family. Wan 3.0 provides Alibaba-oriented text-to-video access with configurable sound, duration, resolution, ratio, and seed controls. -
Wan 3.0 vs. Veo 3.1 Text-to-Video
Veo 3.1 provides Google's text-to-video workflow. Wan 3.0 gives developers another production API option when Wan compatibility and its supported output controls fit the application. -
Wan 3.0 vs. MiniMax H3 Text-to-Video
MiniMax H3 spans text and multimodal video generation. Wan 3.0 Text-to-Video is a focused choice for applications that start from prompts and need optional sound with flexible delivery settings.
Use the Wan 3.0 Text to Video Model Directly in Powerful AI Tools
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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