Leffa Virtual TryOn
集成
模型 id
leffa/virtual-tryon
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/leffa/virtual-tryon?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_type": "upper_body"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/leffa/virtual-tryon?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_type": "upper_body"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_type": "upper_body",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/leffa/virtual-tryon", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
# 1. Connect once (Claude Code; Cursor, VS Code, Claude Desktop: https://doitong.com/zh/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.com/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "leffa/virtual-tryon",
"input": {
"human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_type": "upper_body"
}
}
通过 Doitong API 调用 Leffa Virtual TryOn 模型(leffa/virtual-tryon)。智能体文档:https://doitong.com/zh/developers/models/leffa/virtual-tryon.md
POST https://api.doitong.com/v1/run/leffa/virtual-tryon?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_type": "upper_body"
}
如果响应状态为 "queued" 或 "running",请轮询 GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20,直到状态变为 "succeeded";文件位于 outputs[].url。使用相同请求体 POST https://api.doitong.com/v1/quote/leffa/virtual-tryon,可在运行前返回确切价格。
此请求: $0.10 100 API 积分 在此页面运行
你的新 API 密钥。 它仅在此时显示,并且已填入下方的代码和 API 密钥字段中。请妥善保密:切勿将其放入在浏览器中运行的代码。
构建请求
控件根据模型架构生成。更改控件时,代码和价格会同步更新。
POST
/run/leffa/virtual-tryon?wait=20
报价 → $0.10
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/leffa/virtual-tryon?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_type": "upper_body"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/leffa/virtual-tryon?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_type": "upper_body"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_type": "upper_body",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/leffa/virtual-tryon", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "run",
"arguments": {
"model_id": "leffa/virtual-tryon",
"input": {
"human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_type": "upper_body"
},
"wait_seconds": 20
}
}
}
关于 Leffa Virtual TryOn
将一张图像中的服装渲染到另一张图像中的人物身上。输入包括 `human_image_url`、`garment_image_url`,以及必填的 `garment_type`:upper_body、lower_body 或 dresses。`num_inference_steps` 最高为 50(默认 50),`guidance_scale` 最高为 20。输出为单张 png 或 jpeg,使用 `seed` 可复现结果。
参数
名称类型
默认值允许值
描述
num_inference_steps可选
类型integer
默认值50
1 – 50
要执行的推理步数。
seed可选
类型integer | null
用于图像复现的种子。要复现图像,必须保持种子、输入和模型版本不变;在这些条件下,每次运行的结果都相同。
guidance_scale可选
类型number
默认值2.5
0 – 20
CFG(Classifier Free Guidance)缩放,控制图像生成对输入的贴合程度。
enable_safety_checker可选
类型boolean
默认值true
安全检查;对于被标记为不安全的图像,返回黑色图像替代。true 启用检查;false 仅对获授权账户禁用检查,未获授权的请求无论如何都会检查。
output_format可选
类型enum
默认值png
jpegpng
结果图像的文件格式。
human_image_url必填
类型url · image
指向人物图像的 URL。
garment_image_url必填
类型url · image
指向服装图像的 URL。
garment_type必填
类型enum
upper_bodylower_bodydresses
虚拟试穿的服装类别。
必填
文件参数接受公开的 https:// URL、最大 10 MB 的 data: URI,或上传文件的 file_url。 文件
输出
GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "leffa/virtual-tryon",
"status": "succeeded",
"created_at": "2026-10-20T12:00:00Z",
"started_at": "2026-10-20T12:00:02Z",
"completed_at": "2026-10-20T12:00:09Z",
"queue_position": null,
"cost": {
"credits": 100,
"usd": "0.10",
"charged": 100,
"refunded": 0
},
"input": {
"human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"garment_type": "upper_body"
},
"output": {
"image": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200,
"width": 1024,
"height": 768
},
"seed": 42,
"has_nsfw_concepts": false
},
"outputs": [
{
"type": "image",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_size": 1843200,
"width": 1024,
"height": 768,
"stored": true
}
],
"error": null,
"metrics": {
"inference_seconds": 6.8
},
"urls": {
"self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
你的文件,由你选择每个 outputs[].url 都是存储中的副本:可永久保存(按 GB-月付费),也可免费保存 7 天,由账户设置或 ?storage= 决定。
每个模型的结构相同图像、视频和音频均包含 type、url、content_type、width、height 和 duration。output 是模型自身的结果对象。
输出字段
- image
- object {url, content_type, file_name, file_size, width, height}作为输出生成的图像。
- seed
- integer推理过程中使用的种子。
- has_nsfw_concepts
- boolean图像中 NSFW 概念的指示器。
其他 Leffa 变体
更多模型:图像编辑
对于 AI 代理:此页面的 Markdown 版本位于 https://doitong.com/zh/developers/models/leffa/virtual-tryon.md. 所有模型和指南: https://doitong.com/developers/llms.txt






