alibaba/wan/2.2/5b/text-to-image
Wan 2.2 5b by Alibaba - generate stunning images from text prompts with state-of-the-art AI. Supports multiple aspect ratios, styles, and high-resolution output for creative and commercial use.
Example output — click Run to generate your own
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OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runalibaba/wan/2.2/5b/text-to-imageInput Schema
4 parameters · 1 required · 3 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The text prompt to guide image generation. |
seed | integer | Optional | Random seed for reproducibility. If None, a random seed is chosen. |
aspect_ratio | string | Optional | The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 21:916:93:24:35:41:14:53:42:39:16 |
output_format | string | Optional | The format of the output image. · Options: png, jpeg · Default: "jpeg" pngjpeg |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "alibaba/wan/2.2/5b/text-to-image",
"prompt": "In this breathtaking wildlife documentary, we are drawn into an intimate close-up of a majestic lion's face, framed against the backdrop of a vast African savannah at dawn. The camera captures the raw power and nobility of the creature as it gazes intently into the distance, its golden-brown fur glistening under the soft, diffused light that bathes the scene in an ethereal glow. Harsh shadows dance across its features, accentuating the deep wrinkles around its eyes and the rugged texture of its fur, each strand a testament to its age and wisdom. The static camera angle invites viewers to immerse themselves in this moment of profound stillness, where the lion's intense focus hints at an unseen presence or a distant threat. As the sun ascends, the landscape transforms into a symphony of warm hues, enhancing the serene yet tense atmosphere that envelops this extraordinary encounter with nature's untamed beauty.",
"output_format": "jpeg"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Wan 2.2 5B Text to Image
Wan 2.2 5B Text to Image is a Wan-family route for text-to-image synthesis. Wan’s video-focused generative architecture models appearance and time together, so supplied references, structural conditions, masks, speech, or written scene direction can influence a coherent sequence rather than a collection of unrelated frames. This exact route concentrates that architecture on its named production task.
Use the route when the available source material and final brief specifically require text-to-image synthesis. Identify every subject or condition, explain the intended action or transformation, and describe camera behavior, pacing, environment, lighting, atmosphere, and preservation constraints. This separates creative intent from the local duration, resolution, and delivery fields documented below.
Highlights
- Prompt-faithful composition. Coordinates subjects, environment, layout, lighting, and style from a written brief.
- Detailed visual rendering. Produces coherent materials, textures, illumination, and spatial relationships.
- Chinese and English visual text. The Wan family supports visible text generation in both languages.
- Broad creative range. Supports photographic, illustrative, product, and graphic-design directions.
Pricing
| Configuration | Billing unit | Price |
|---|---|---|
| Base generation | Per request | $0.016 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The project needs this exact named workflow | The intended task belongs to another media route |
| All required reference or control media is available | Necessary assets or rights are unavailable |
| The brief can state transformation and preservation goals | Output must be deterministic at pixel or frame level |
| Supported duration, resolution, and format fit delivery | Final placement requires unsupported specifications |
| An asynchronous generated result fits production | A live frame-synchronous response is mandatory |
Prompt Guide
Identify the primary subject and every source or condition, state the intended transformation or action, then describe composition, camera or viewpoint, lighting, materials, pacing, atmosphere, and exact preservation requirements. Refer to multiple inputs in their schema order.
{
"prompt": "A precisely directed composition with explicit subject, transformation, camera or viewpoint, lighting, material, and preservation requirements",
"seed": 1,
"aspect_ratio": "21:9",
"output_format": "png"
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | alibaba/wan/2.2/5b/text-to-image |
| Input fields | seed (integer)<br>prompt (string)<br>aspect_ratio (string; 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16)<br>output_format (string; png, jpeg) |
| Required input | prompt |
| Output fields | url, content_type |
| Execution | Asynchronous job |
Related Models
alibaba/wan/2.1/text-to-videoalibaba/wan/2.1/image-to-videoalibaba/wan/2.1/vace