Source: https://ailoot.ai/models/en/wan2-7-image/
Canonical: https://ailoot.ai/models/en/wan2-7-image/
Language: en

# wan2.7-image

[Markdown](https://ailoot.ai/models/en/wan2-7-image/index.md) · [JSON](https://ailoot.ai/models/en/wan2-7-image/facts.json)

## [wan2.7-image](https://ailoot.ai/models/en/wan2-7-image/)

A text-to-image model for preparing design variations and illustrations. According to Alibaba, this version is designed to generate images more quickly.

- [**Ailoot · Images** `POST /v1/images/generations` `wan2.7-image`](https://ailoot.ai/models/en/wan2-7-image/#method-0)

About the model

This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.

Wan2.7-Image creates images from a text prompt. The current Ailoot card presents text input and an image result. According to Alibaba, this version is designed to produce variations more quickly. The manufacturer's specification also provides editing, combinations of references and local changes; these require separate image-input support, which is not included in the card's current method.

#### Modes described by Alibaba

For reference mode, Alibaba provides for up to nine source images in a prompt. They guide an object's appearance, composition and details. The model can combine several materials into a new scene or modify an original image while preserving its main subject. Explicitly marked regions are provided for localized editing: up to two rectangular areas can be specified in one image.

In Alibaba's specification, ordinary mode produces one to four results. A sequential series allows up to 12 images linked by a story or shared character traits to be requested. For a series, this is an upper limit: the model determines the number of frames needed and may return fewer. The prompt and source material help maintain a common storyline.

A reasoning mode is provided for ordinary text-to-image generation without references or a sequential series. In this mode, the model analyzes a complex description more thoroughly before creating the image. The mode does not apply to image-based editing or a sequential series. A specified palette of 3–10 colors is available outside sequential series.

#### Input and result

In the manufacturer's modes using source images, JPEG, JPG, PNG without transparency, BMP and WEBP are supported. Each dimension may range from 240 to 8000 pixels, file size is limited to 20 MB and the aspect ratio ranges from 1:8 to 8:1.

Text prompts support Chinese and English and are limited to 5000 characters; any excess is truncated. This version does not provide a negative prompt or additional prompt expansion.

The output format is PNG, with resolution up to 2K. This designation concerns total pixel area, not a fixed maximum dimension length; the frame shape can be selected between 1:8 and 8:1. When editing with a preset resolution, the result retains the aspect ratio of the last reference. The same random seed helps produce similar variations but does not guarantee a complete match.

**Ailoot · Images** `POST /v1/images/generations` `wan2.7-image`

[`wan2.7-image`](https://ailoot.ai/models/en/#m=wan2.7-image&route=Core&caller=wan2.7-image&fmt=images)

Alibaba /`wan2.7-image`

### Overview

A text-to-image model for preparing design variations and illustrations. According to Alibaba, this version is designed to generate images more quickly.

Accepted inputs

Text

Results

Images

### Available in Ailoot · inputs & methods

**Ailoot · Images** `POST /v1/images/generations`

Input types

`text`

Output types

`image`

Output format

Image file

| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits wan2.7-image | Default— |
| Field`prompt` | Type`string` | RequirementRequired | Values & limits Minimum length: 1 | Default— |
| Field`n` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 | Default1 |
| Field`response_format` | Type`string` | RequirementOptional | Values & limits url, b64\_json | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
| Field`size` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`partial_images` | Type`integer` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`images[].image_url` | Type`string` | RequirementNot supported | Values & limits Maximum decoded bytes: 20,971,520 MIME types: image/png, image/jpeg Maximum images per array: 9 Conditions: One actual URL per images\[\] object. The array count is distinct from this string leaf. Applies when: JSON images/edits only; JSON images/generations does not parse images references. | Default— |
| Field`image` | Type`file` | RequirementOptional | Values & limits Maximum decoded bytes: 20,971,520 MIME types: image/png, image/jpeg Applies when: multipart/form-data generation | Default— |
| Field`image[]` | Type`file[]` | RequirementOptional | Values & limits Maximum items: 9 Maximum decoded bytes: 20,971,520 MIME types: image/png, image/jpeg Applies when: multipart/form-data generation | Default— |

Input material combinations

**Text to image** · Required: prompt

**reference\_images\_generation** · Required: prompt

Method parameters and lifecycle

| Parameter | Contract |
| --- | --- |
| Parameter`material_types` | Contracttext |
| Parameter`required` | Contractmodel, prompt |
| Parameter`optional_controls` | Contractnull |
| Parameter`content_type` | Contractapplication/json |

Lifecycle: `synchronous_result_then_owned_library`

`GET /v1/media/tasks/{task_id}` · actual returned task\_id or media library record

`GET /v1/media/assets/{asset_id}/content`

`GET /v1/media/assets`

`GET /v1/media/assets/{asset_id}`

Method shapes and IDs are exact; supplier capability is separate from admission.

### Pricing

#### Ailoot method rates

Output

$0.03 *per 1K image*

Output

$0.03 *per 2K image*

Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)

#### Reference tariff details

Model-level reference schedules do not change method selection, quotes or charges. Active charges use the selected Ailoot method rates.

wan2.7-image

#### Prices by configuration

| Configuration | Billing conditions | Charge |
| --- | --- | --- |
| Configurationwan2.7-image · Default configuration | Billing conditionsDefault configuration | Charge Input · Input **$0.00** per call Output · Output **$0.06** per call |

### Example requests

#### Ailoot · Images

curlPython SDKNode.js SDK

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
export AILOOT_API_KEY
export AILOOT_API_KEY
: "${AILOOT_PROMPT_FILE:?Set your actual UTF-8 image brief}"
export AILOOT_PROMPT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "wan2.7-image", "prompt": ""}')
f=Path(os.environ["AILOOT_PROMPT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 brief")
p['prompt']=f.read_text(encoding="utf-8")
if not p['prompt'].strip():raise SystemExit("Brief must contain text")
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json, os, subprocess
from pathlib import Path
from urllib.parse import urlsplit, urljoin

def save_images(items):
    if not items: raise SystemExit("No completed images; retain the full response")
    for index, item in enumerate(items):
        encoded=item.get("b64_json")
        uri=item.get("url", "")
        if not encoded and uri.startswith("data:image/"):
            header, separator, encoded=uri.partition(",")
            if not separator or ";base64" not in header: raise SystemExit("Unsupported image data URI")
        if encoded:
            raw=base64.b64decode(encoded,validate=True)
        elif uri:
            uri=urljoin("https://api.ailoot.ai",uri)
            parsed=urlsplit(uri)
            if parsed.scheme!="https" or not parsed.netloc or parsed.username or parsed.password:
                raise SystemExit("Invalid returned image URL")
            owned=parsed.netloc=="api.ailoot.ai" and parsed.path.startswith("/v1/media/assets/") and parsed.path.endswith("/content")
            args=["curl","--fail-with-body","--silent","--show-error",uri]
            if owned: args += ["-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"]]
            temporary=Path(f"image-{index}.bin")
            subprocess.run(args+["-o",str(temporary)],check=True)
            raw=temporary.read_bytes()
            temporary.unlink()
        else: raise SystemExit("Image has neither bytes nor URL")
        if not raw: raise SystemExit("Empty image result")
        ext="png" if raw.startswith(b"\x89PNG") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else "svg" if raw.lstrip().startswith((b"<svg",b"<?xml")) else "bin"
        Path(f"image-{index}.{ext}").write_bytes(raw)
    print("Every returned image saved; complete response metadata retained")
save_images(json.loads(Path("result.json").read_text())["data"])
PY_RESULT
```

```python
from openai import OpenAI
import base64, json, os, subprocess
from pathlib import Path
from urllib.parse import urlsplit, urljoin

def save_images(items):
    if not items: raise SystemExit("No completed images; retain the full response")
    for index, item in enumerate(items):
        encoded=item.get("b64_json")
        uri=item.get("url", "")
        if not encoded and uri.startswith("data:image/"):
            header, separator, encoded=uri.partition(",")
            if not separator or ";base64" not in header: raise SystemExit("Unsupported image data URI")
        if encoded:
            raw=base64.b64decode(encoded,validate=True)
        elif uri:
            uri=urljoin("https://api.ailoot.ai",uri)
            parsed=urlsplit(uri)
            if parsed.scheme!="https" or not parsed.netloc or parsed.username or parsed.password:
                raise SystemExit("Invalid returned image URL")
            owned=parsed.netloc=="api.ailoot.ai" and parsed.path.startswith("/v1/media/assets/") and parsed.path.endswith("/content")
            args=["curl","--fail-with-body","--silent","--show-error",uri]
            if owned: args += ["-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"]]
            temporary=Path(f"image-{index}.bin")
            subprocess.run(args+["-o",str(temporary)],check=True)
            raw=temporary.read_bytes()
            temporary.unlink()
        else: raise SystemExit("Image has neither bytes nor URL")
        if not raw: raise SystemExit("Empty image result")
        ext="png" if raw.startswith(b"\x89PNG") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else "svg" if raw.lstrip().startswith((b"<svg",b"<?xml")) else "bin"
        Path(f"image-{index}.{ext}").write_bytes(raw)
    print("Every returned image saved; complete response metadata retained")

f=Path(os.environ["AILOOT_PROMPT_FILE"])
if not f.is_file():raise SystemExit("Set your actual UTF-8 image brief file")
request={'model': 'wan2.7-image', 'prompt': ''}
request["prompt"]=f.read_text(encoding="utf-8")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
result=client.images.generate(**request)
Path("sdk-result.txt").write_text(str(result),encoding="utf-8")
save_images([{"b64_json":getattr(item,"b64_json",None),"url":getattr(item,"url",None)} for item in result.data])
```

```js
import OpenAI from "openai";
import { readFileSync, writeFileSync } from "node:fs";
const key=process.env.AILOOT_API_KEY;
if(!key) throw new Error("Set your actual Ailoot API key");
const client=new OpenAI({baseURL:"https://api.ailoot.ai/v1",apiKey:key,maxRetries:0});
const request={"model": "wan2.7-image", "prompt": ""};
if(!process.env.AILOOT_PROMPT_FILE)throw new Error("Set your actual UTF-8 image brief file");
request.prompt=readFileSync(process.env.AILOOT_PROMPT_FILE,"utf8");
const result=await client.images.generate(request);
writeFileSync("sdk-result.json",JSON.stringify(result,null,2));
if(!result.data?.length) throw new Error("No completed images");
for(let index=0;index<result.data.length;index++) {
  const item=result.data[index];let encoded=item.b64_json,uri=item.url||"",raw;
  if(!encoded && uri.startsWith("data:image/")) {
    const comma=uri.indexOf(",");if(comma<0 || !uri.slice(0,comma).includes(";base64")) throw new Error("Unsupported image data URI");
    encoded=uri.slice(comma+1);
  }
  if(encoded) {
    if(encoded.length%4!==0 || !/^[A-Za-z0-9+/]*={0,2}$/.test(encoded)) throw new Error("Invalid Base64");
    raw=Buffer.from(encoded,"base64");
  } else if(uri) {
    const u=new URL(uri,"https://api.ailoot.ai");
    if(u.protocol!=="https:" || u.username || u.password) throw new Error("Invalid returned URL");
    const owned=u.origin==="https://api.ailoot.ai" && u.pathname.startsWith("/v1/media/assets/") && u.pathname.endsWith("/content");
    const response=await fetch(u,{headers:owned?{Authorization:"Bearer "+key}:{},redirect:"manual"});
    if(!response.ok) throw new Error("Image content download failed: "+response.status);
    raw=Buffer.from(await response.arrayBuffer());
  } else throw new Error("Image has neither bytes nor URL");
  if(!raw.length) throw new Error("Empty image result");
  const ext=raw.subarray(0,4).equals(Buffer.from([137,80,78,71]))?"png":raw[0]===255&&raw[1]===216?"jpg":raw.toString("ascii",0,4)==="RIFF"&&raw.toString("ascii",8,12)==="WEBP"?"webp":raw.toString("utf8").trimStart().startsWith("<svg")||raw.toString("utf8").trimStart().startsWith("<?xml")?"svg":"bin";
  writeFileSync(`image-${index}.${ext}`,raw);
}
console.log("Every returned image saved; sdk-result.json retains complete metadata");
```

### Receive and save results

#### Ailoot · Images

Download each returned image or save its Base64 contents

- `GET /v1/media/tasks/{task_id}`
- `GET /v1/media/assets/{asset_id}/content`
- `GET /v1/media/assets`
- `GET /v1/media/assets/{asset_id}`

##### Keep all completed results

Save every completed image; retrieve each returned URL or decode its Base64 contents.

Save every data item. Decode each b64\_json or fetch every returned signed URL. Select a filename extension from the actual MIME/bytes.

##### If the original response needs checking

If an image generation or edit result requires a check, keep the original operation\_id/X-Client-Request-ID and returned result information. Recover existing owned results through the media library using actual task\_id or asset\_id values. Do not resubmit the generation/edit request or construct a polling URL from operation\_id.

Response fields

| Field | Type |
| --- | --- |
| Field`created` | Typeinteger |
| Field`data[].url` | Typestring |
| Field`data[].b64_json` | Typebase64 string |
| Field`usage` | Typeobject |

Errors and next steps

| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
| Response`server_error` | ConditionThe returned response says the operation or result requires a check | Next stepKeep the original returned operation/task ID, request headers and response; continue supported reads of that original operation. Do not resubmit the creation request. |

### Aliases

#### Model aliases

**Ailoot** [`wan2.7-image`](https://ailoot.ai/models/en/#m=wan2.7-image&route=Core&caller=wan2.7-image&fmt=images)

#### Method path aliases

Use the method paths shown above.

#### Related caller IDs

[`wan2.7-image`](https://ailoot.ai/models/en/#m=wan2.7-image&route=Core&caller=wan2.7-image&fmt=images)

FAQ · wan2.7-image

What inputs and results are available?

`POST /v1/images/generations` · `wan2.7-image`: `text` → `image`

Which fields does the request use?

`POST /v1/images/generations` · `wan2.7-image`: `model`, `prompt`, `n`, `response_format`, `stream`, `image`, `image[]`

What limits apply?

`POST /v1/images/generations` · `wan2.7-image`: `n.minimum`: `1`

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