Wan 3.0 Prime Text-to-Video Spicy
Wan 3.0 Prime Text-to-Video Spicy is Alibaba's high-speed, high-expressiveness AI text-to-video model variant under the Tongyi Wanxiang family. Combining Prime's ultra-fast generation inference with Spicy's high-dynamism visual tuning, it deeply parses complex text prompts to directly render up to 30-second 1080P HD videos with significantly reduced wait times. Fine-tuned for bold physical movement, high-contrast lighting, dramatic camera maneuvers, and intense visual impact, it natively supports integrated audio-video generation (ambient audio, sound effects, and multilingual lip-sync)—delivering rapid turnarounds and extreme visual tension for high-energy social media content, action sequences, and commercial ads.
Wan 3.0 Prime Text-to-Video (Global)
Wan 3.0 Prime Text-to-Video is Alibaba's high-speed AI text-to-video model under the Tongyi Wanxiang family. Combining the Prime architecture's rapid inference with the core Wan 3.0 multimodal foundation, it deeply parses complex text prompts to directly render up to 30-second 1080P HD videos with significantly reduced generation latency. Featuring native audio-visual synchronization (ambient audio, sound effects, and multilingual lip-sync), it delivers exceptional physical motion simulation, seamless temporal coherence, and precise camera control—providing rapid turnarounds and high-quality visual output for commercial advertising, short dramas, film VFX, and high-frequency social media content creation.
Base URL
https://api.icreat.aiAuthentication
All API requests must be authenticated with an API Key. You can obtain an API Key from the console.
export ICREAT_API_KEY="your-api-key-here"HTTP Request Headers
import os
API_KEY = os.environ.get("ICREAT_API_KEY")
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer " + API_KEY,
}Protect your API Key
Never expose your API Key in client-side code or public repositories. Use environment variables or a backend proxy.
Code Examples
Image and video generation uses a three-step async flow: submit to get task_id, poll status, then fetch results when status is SUCCEEDED.
1. Submit Task
Send a generation request to the submit endpoint.
2. Poll Status
Poll with task_id. Response contains only status.
3. Get Result
Fetch output when the task succeeds.
Input Schema
Submit Task — Input
Total: 2 Required: 2 Optional: 0
Generation input payload.
Generation parameters.
Poll Status — Input
Total: 1 Required: 1 Optional: 0
Task ID from the submit endpoint.
Get Result — Input
Total: 1 Required: 1 Optional: 0
Task ID from the submit endpoint.
Output Schema
Submit Task — Output
Total: 1
Async task identifier.
Poll Status — Output
Total: 1
Current task status. Fetch results when SUCCEEDED.
Get Result — Output
Top-level array of resource objects.
Total: 3
Resource type; Video for this model.
Preview/access URL.
Download URL.
LLM Prompt
The Markdown below is an LLM-friendly prompt you can paste into AI assistants (e.g. Cursor, ChatGPT) to help them understand this model's API, call flow, and key parameters. Use Copy for AI or copy from the code block below.
# aliyun/wan3-0-prime/text-to-video-global
> Wan 3.0 Prime Text-to-Video is Alibaba's high-speed AI text-to-video model under the Tongyi Wanxiang family.
## Overview
Use the iCreat three-step async task API: submit a generation request, poll status, then fetch the video URL on success.
## API Info
- **Base URL**：`https://api.icreat.ai`
- **Submit endpoint (POST)**：`/v1/task/submit/aliyun/wan3-0-prime/text-to-video-global`
- **Poll endpoint (POST)**：`/v1/task/query-status`
- **Get result endpoint (POST)**：`/v1/task/get-result`
- **Model ID**：`aliyun/wan3-0-prime/text-to-video-global`
- **Auth**：`Authorization: Bearer ${ICREAT_API_KEY}`
## Call Flow
1. **Submit**: POST submit path with body per Input Notes; response `{ "task_id": "..." }`
2. **Poll**: POST `/v1/task/query-status` with `{ "task_id": "..." }`; response contains **only** `{ "status": "SUBMITTED|SUCCEEDED|FAILED" }`
3. **Get result**: when `status` is `SUCCEEDED`, POST `/v1/task/get-result`; top-level array; read `url` or `download_url` when `type` is `Video`
### Input Notes
- Top-level body: `input` (object) + `parameters` (object) as siblings
- `input.prompt` (required): Prompt describing the video to generate.
- `input.negative_prompt` (optional): Content that should not appear in the video.
- `input.media` (optional): Optional reference media list.
- `parameters.resolution` (required): Video resolution.
- `parameters.ratio` (required): Video aspect ratio.
- `parameters.duration` (required): Video duration in seconds.
- `parameters.watermark` (optional): Whether to add a watermark.
### Output Notes
- Poll: read `status` only
- Result: top-level `[{ "type": "Video", "url": "...", "download_url": "..." }]`
## Notes
- Use the same `task_id` across all three steps; do not skip polling
- `FAILED` is terminal — check request parameters or reference media
- `input` and `parameters` are sibling top-level fields; do not nest them