FASHN Virtual Try-On V1.6
整合
模型 id
fashn/tryon/v1.6
# 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/fashn/tryon/v1.6?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model_image": "example",
"garment_image": "example"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/fashn/tryon/v1.6?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"model_image": "example",
"garment_image": "example"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"model_image": "example",
"garment_image": "example",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/fashn/tryon/v1.6", 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-TW/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": "fashn/tryon/v1.6",
"input": {
"model_image": "example",
"garment_image": "example"
}
}
透過 Doitong API 呼叫 FASHN Virtual Try-On V1.6 模型(fashn/tryon/v1.6)。代理程式文件:https://doitong.com/zh-TW/developers/models/fashn/tryon/v1.6.md
POST https://api.doitong.com/v1/run/fashn/tryon/v1.6?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"model_image": "example",
"garment_image": "example"
}
如果回應狀態為 "queued" 或 "running",請輪詢 GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20,直到狀態變為 "succeeded";檔案位於 outputs[].url。使用相同主體傳送 POST https://api.doitong.com/v1/quote/fashn/tryon/v1.6,可在執行前取得確切價格。
此請求: $0.075 75 API 點數 在此頁面執行
您的新 API 金鑰。 僅會在此時顯示,且已填入下方的程式碼與 API 金鑰欄位。請妥善保密:切勿將其放入在瀏覽器中執行的程式碼。
建立請求
控制項是根據模型結構描述生成的。變更設定時,程式碼和價格會同步更新。
POST
/run/fashn/tryon/v1.6?wait=20
報價 → $0.075
# 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/fashn/tryon/v1.6?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model_image": "example",
"garment_image": "example"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/fashn/tryon/v1.6?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"model_image": "example",
"garment_image": "example"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"model_image": "example",
"garment_image": "example",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/fashn/tryon/v1.6", 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": "fashn/tryon/v1.6",
"input": {
"model_image": "example",
"garment_image": "example"
},
"wait_seconds": 20
}
}
}
關於 FASHN Virtual Try-On V1.6
將 `garment_image` 中的服裝套到 `model_image` 中的人物身上,兩者皆可使用 URL 或 base64。`category` 接受 tops、bottoms、one-pieces 或 auto,`garment_photo_type` 接受模型、flat-lay 或 auto。`mode` 可為 performance、balanced 或 quality,`num_samples` 會產生 1 至 4 個 png 或 jpeg 結果。
參數
名稱類型
預設值允許值
說明
model_image必填
類型string
以 URL 或 base64 資料提供的模型圖像。
garment_image必填
類型string
以 URL 或 base64 資料提供的服裝圖像。
category選填
類型enum
預設值auto
topsbottomsone-piecesauto
試穿服裝類別;'auto' 會要求嘗試自動偵測類別。
mode選填
類型enum
預設值balanced
performancebalancedquality
速度與品質取捨的操作模式:'balanced' 尋求折衷,'quality' 以較慢處理提供更佳結果,'performance' 執行速度較快但可能降低品質。
garment_photo_type選填
類型enum
預設值auto
automodelflat-lay
用於調校內部參數的服裝照片類別。平拍照與幽靈人台圖像使用 'flat-lay';展示模型穿著服裝的照片使用 'model'。使用 'auto' 時,系統會嘗試自行識別類別。
moderation_level選填
類型enum
預設值permissive
nonepermissiveconservative
服裝圖像審核政策。使用 'none' 停用篩選器需要帳戶授權;沒有授權時,該選項會以 'permissive' 執行。在 'permissive' 下僅封鎖露骨內容;'conservative' 還會排除內衣與泳裝。
seed選填
類型integer | null
用於可重現生成的種子:固定隨機性,使相同輸入可能產生相同結果;變更種子則會強制產生不同結果。
num_samples選填
類型integer
預設值1
1 – 4
單次執行的圖像數量,可同時進行多次嘗試,以提高在生成隨機性下取得良好結果的機率。
segmentation_free選填
類型boolean
預設值true
停用模型圖像的人體解析。
output_format選填
類型enum
預設值png
pngjpeg
圖像格式選擇:'png' 可提供最高品質,'jpeg' 可加快生成速度。
enable_safety_checker選填
類型boolean
預設值true
在呼叫端獲得授權的情況下,將此值設為 false 可放寬審核。
必填
輸出
GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "fashn/tryon/v1.6",
"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": 75,
"usd": "0.075",
"charged": 75,
"refunded": 0
},
"input": {
"model_image": "example",
"garment_image": "example"
},
"output": {
"images": [
{
"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
}
]
},
"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"
}
}
您的檔案,由您選擇每個 outputs[].url 都是儲存空間中的副本:可永久保留(按 GB-月計費),或免費保留 7 天;可透過帳戶設定或 ?storage= 設定。
所有模型使用相同結構圖片、影片和音訊皆包含 type、url、content_type、width、height 和 duration。output 是模型自己的結果物件。
輸出欄位
- images
- array of object {url, content_type, file_name, file_size}
其他 FASHN Virtual Try-On 變體
更多模型:圖像編輯
給 AI 代理程式:此頁面的 Markdown 位於 https://doitong.com/zh-TW/developers/models/fashn/tryon/v1.6.md. 所有模型與指南: https://doitong.com/developers/llms.txt






