Wan 2.2 T2V 720p
Playground
Try it on WavespeedAI!Wan 2.2 t2v-720p converts text prompts into native 720P videos, producing high-quality 720P clips from simple prompts. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Wan 2.2 Text-to-Video 720p
Generate high-quality 720p HD videos from text descriptions with Wan 2.2. Simply describe your scene and watch it come to life — no source images required. With landscape and portrait support, create professional-grade content for any platform.
Need custom styles? Try Wan 2.2 T2V 720p LoRA for LoRA adapter support.
Why It Looks Great
- Pure text-to-video: Generate complete videos from descriptions alone — no images needed.
- 720p HD output: Sharp, professional-quality video suitable for final deliverables.
- Landscape & portrait: Supports both 1280×720 and 720×1280 orientations.
- Negative prompt support: Exclude unwanted elements for precise control.
- Prompt Enhancer: Built-in tool to refine your descriptions automatically.
- Reproducible results: Use the seed parameter to recreate exact outputs.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the scene, action, and atmosphere you want. |
| negative_prompt | No | Elements to avoid in the generated video. |
| size | No | Output dimensions: 1280×720 (landscape) or 720×1280 (portrait). Default: 1280×720. |
| duration | No | Video length: 5 or 8 seconds. Default: 5. |
| seed | No | Random seed for reproducibility. Use -1 for random. |
How to Use
- Write your prompt — describe the scene, characters, motion, and atmosphere in detail.
- Use Prompt Enhancer (optional) — click to automatically enrich your description.
- Add negative prompt (optional) — specify elements to exclude.
- Choose size — select landscape (1280×720) or portrait (720×1280) orientation.
- Set duration — choose 5 or 8 seconds.
- Set seed (optional) — for reproducible results.
- Run — click the button to generate.
- Download — preview and save your video.
Pricing
Per 5-second billing based on duration.
| Duration | Calculation | Cost |
|---|---|---|
| 5 seconds | 5 ÷ 5 × $0.30 | $0.30 |
| 8 seconds | 8 ÷ 5 × $0.30 | $0.48 |
Size Options
| Size | Orientation | Best For |
|---|---|---|
| 1280×720 | Landscape | YouTube, presentations, desktop viewing, TV |
| 720×1280 | Portrait | TikTok, Instagram Reels, Stories, mobile |
Best Use Cases
- Lifestyle & Fashion Content — Generate vibrant, dynamic scenes with detailed clothing and movement.
- Social Media Videos — Create platform-optimized HD content for any channel.
- Concept Visualization — Bring ideas to life without any source material.
- Marketing & Advertising — Produce professional-quality video for campaigns.
- Creative Storytelling — Visualize narratives and scenes with cinematic quality.
Example Prompts
- “Daylight, sidelight, soft light, warm colors, azure sky. A red-haired woman laughs openly, her long, curly hair flicking in the wind, wearing a brightly colored, flower-printed green suit with slim pants legs and a pair of bright, fluorescent green boots.”
- “Cinematic aerial shot of ocean waves crashing on rocky coastline, golden sunset light, dramatic atmosphere”
- “A chef prepares sushi in a traditional Japanese restaurant, precise hand movements, soft ambient lighting”
- “Futuristic cityscape at night, flying cars, neon reflections on wet streets, cyberpunk aesthetic”
- “Children running through a field of sunflowers, summer afternoon, joyful mood, lens flare”
Pro Tips for Best Results
- Include lighting details: “daylight”, “sidelight”, “soft light”, “warm colors”.
- Describe movement and action: “laughs openly”, “hair flicking in the wind”.
- Be specific about clothing, colors, and textures for richer visuals.
- Match orientation to platform: portrait for TikTok/Reels, landscape for YouTube.
- Use negative prompts to avoid “blur”, “distortion”, “jitter” for cleaner output.
- Start with 5-second videos to test concepts before generating 8-second versions.
Notes
- Duration options are 5 or 8 seconds only.
- 720p provides excellent quality for most viewing contexts.
- For custom style control, consider the LoRA-enabled variant.
- Processing time scales with duration — 8-second videos take longer.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/t2v-720p" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"size": "1280*720",
"duration": 5,
"seed": -1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| negative_prompt | string | No | - | The negative prompt for the generation. | |
| size | string | No | 1280*720 | 1280*720, 720*1280 | The size of the generated media in pixels (width*height). |
| duration | integer | No | 5 | 5, 8 | The duration of the generated media in seconds. |
| seed | integer | No | -1 | -1 ~ 2147483647 | The random seed to use for the generation. -1 means a random seed will be used. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |