> ## Documentation Index
> Fetch the complete documentation index at: https://docs.anyfast.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Wan2.7 Image / Pro
> Generate, edit, and create image sequences with wan2.7-image and wan2.7-image-pro through AnyFast.
Wan2.7 Image is Alibaba's image generation and editing model family. Through AnyFast, both variants use the same synchronous endpoint and DashScope-compatible message structure.
| Model ID | Description |
| ------------------ | ---------------------------------------------------------------------------------------- |
| `wan2.7-image-pro` | Professional variant. Text-to-image requests without sequential output support up to 4K. |
| `wan2.7-image` | Standard variant optimized for faster generation. Supports up to 2K. |
## Capabilities
* **Text-to-image** — Generate one or more images from a text prompt
* **Image editing** — Edit up to 9 input images with text instructions
* **Interactive editing** — Limit edits to regions defined by `bbox_list`
* **Sequential generation** — Create a related image sequence from text or image references
* **Multi-image reference** — Place multiple `{ "image": "..." }` items in one content array
`parameters.prompt_extend` defaults to `true`. For special-content requests, select the **Special-Ns** resource group and set this parameter to `false`.
The endpoint accepts the existing flat OpenAI-compatible format and the newly adapted nested DashScope-compatible format shown in the AnyFast examples. Use the flat format for simple generation or single-image editing, and the nested format for multiple images, region editing, or sequential generation.
## Request format
Send requests to `POST /v1/images/generations`. The following examples show both supported request formats.
```bash Text-to-image theme={null}
curl https://www.anyfast.ai/v1/images/generations \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "wan2.7-image",
"prompt": "A cinematic flower shop with detailed windows and a wooden door",
"size": "2K",
"n": 1,
"watermark": false,
"thinking_mode": true
}'
```
```bash Single-image editing theme={null}
curl https://www.anyfast.ai/v1/images/generations \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "wan2.7-image-pro",
"prompt": "Replace the vase with a bouquet of red roses",
"image": "https://example.com/room.png",
"size": "2K",
"n": 1
}'
```
```bash Multi-image editing theme={null}
curl https://www.anyfast.ai/v1/images/generations \
-H "Authorization: Bearer YOUR_API_KEY" \
-H 'X-DashScope-DataInspection: {"input":"disable","output":"disable"}' \
-H "Content-Type: application/json" \
-d '{
"model": "wan2.7-image-pro",
"input": {
"messages": [
{
"role": "user",
"content": [
{"image": "https://example.com/person.png"},
{"image": "https://example.com/background.png"},
{"text": "Place the person from image 1 into the setting from image 2"}
]
}
]
},
"parameters": {
"size": "2K",
"n": 1,
"watermark": false,
"thinking_mode": true,
"prompt_extend": true
}
}'
```
```bash Interactive editing theme={null}
curl https://www.anyfast.ai/v1/images/generations \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "wan2.7-image-pro",
"input": {
"messages": [
{
"role": "user",
"content": [
{"image": "https://example.com/room.png"},
{"text": "Replace the selected vase with red roses"}
]
}
]
},
"parameters": {
"size": "2K",
"n": 1,
"bbox_list": [
[[420, 280, 760, 720]]
],
"prompt_extend": true
}
}'
```
```bash Sequential generation theme={null}
curl https://www.anyfast.ai/v1/images/generations \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "wan2.7-image-pro",
"input": {
"messages": [
{
"role": "user",
"content": [
{"text": "Create a four-image cinematic sequence of the same orange cat across spring, summer, autumn, and winter"}
]
}
]
},
"parameters": {
"size": "2K",
"enable_sequential": true,
"n": 4,
"watermark": false,
"prompt_extend": true
}
}'
```
## Input rules
### Flat OpenAI-compatible format
| Field | Type | Description |
| --------------- | ------- | ---------------------------------------------------------------------- |
| `model` | string | `wan2.7-image` or `wan2.7-image-pro` |
| `prompt` | string | Chinese or English prompt, up to 5,000 characters |
| `image` | string | Optional public image URL or Base64 data URI for single-image editing |
| `size` | string | Output size such as `1K` or `2K`; Pro text-to-image also supports `4K` |
| `n` | integer | Number of generated images |
| `thinking_mode` | boolean | Enables thinking mode for text-to-image |
| `watermark` | boolean | Adds the fixed AI-generated watermark |
| `seed` | integer | Random seed from 0 to 2,147,483,647 |
### Nested DashScope-compatible format
| Field | Requirement |
| ------------------ | ---------------------------------------------------- |
| `input.messages` | One message with `role: "user"` |
| `content[].text` | Chinese or English prompt, up to 5,000 characters |
| `content[].image` | Public HTTP/HTTPS URL or Base64 data URI |
| Image formats | JPEG, JPG, PNG without transparency, BMP, WEBP |
| Image size | Up to 20 MB per image; width and height 240–8,000 px |
| Image aspect ratio | From 1:8 to 8:1 |
| Image count | 0–9 images; array order defines image order |
## Parameters
| Parameter | Type | Default | Description |
| ------------------------------ | ------- | ----------- | -------------------------------------------------------------------------------------------------------------------------------------------- |
| `parameters.size` | string | `2K` | `wan2.7-image-pro`: 1K, 2K, or 4K for non-sequential text-to-image; other modes support up to 2K. `wan2.7-image`: 1K or 2K. |
| `parameters.n` | integer | `1` or `12` | Non-sequential mode: 1–4, default 1. Sequential mode: maximum output count 1–12, default 12. Billing follows successfully generated images. |
| `parameters.enable_sequential` | boolean | `false` | Enables text-to-sequence or image-to-sequence generation. |
| `parameters.thinking_mode` | boolean | `true` | Improves text-to-image quality. Only applies with no image input and sequential mode disabled. |
| `parameters.prompt_extend` | boolean | `true` | Controls AnyFast prompt extension. For special-content requests, select the **Special-Ns** resource group and set this parameter to `false`. |
| `parameters.bbox_list` | array | — | Region boxes for interactive editing. Provide one list per input image; each image supports up to two `[x1, y1, x2, y2]` boxes. |
| `parameters.color_palette` | array | — | 3–10 HEX colors and percentage ratios totaling `100.00%`; available only when sequential mode is disabled. |
| `parameters.watermark` | boolean | `false` | Adds the fixed AI-generated watermark in the lower-right corner. |
| `parameters.seed` | integer | Random | Integer from 0 to 2,147,483,647. Equal seeds can produce similar, but not identical, results. |
When images are supplied, the output uses the aspect ratio of the last input image and scales it to the selected resolution. Generated dimensions can differ slightly from custom dimensions.
## Response
AnyFast returns the generated image in `data` and preserves the upstream Wan response under `metadata`.
```json theme={null}
{
"data": [
{
"url": "https://dashscope-result.example.com/generated.png",
"b64_json": "",
"revised_prompt": ""
}
],
"created": 1784274013,
"metadata": {
"output": {
"choices": [
{
"finish_reason": "stop",
"message": {
"content": [
{
"image": "https://dashscope-result.example.com/generated.png",
"type": "image"
}
],
"role": "assistant"
}
}
],
"finished": true
},
"usage": {
"image_count": 1,
"input_tokens": 25,
"output_tokens": 2,
"size": "2048*2048",
"total_tokens": 27
},
"request_id": "f30f2d2b-e0ee-9a47-ba5e-68b66360fe47"
}
}
```
Generated URLs are retained for 24 hours by the upstream service. Download outputs promptly rather than storing these URLs permanently.
Open the Wan2.7 Image / Pro API reference.