Leffa Virtual TryOn
Integrar
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/pt-BR/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"
}
}
Chame o modelo Leffa Virtual TryOn (leffa/virtual-tryon) por meio da Doitong API. Documentação para agentes: https://doitong.com/pt-BR/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"
}
Se o status da resposta for "queued" ou "running", consulte GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 repetidamente até que seja "succeeded"; os arquivos estão em outputs[].url. POST https://api.doitong.com/v1/quote/leffa/virtual-tryon com o mesmo corpo retorna o preço exato antes da execução.
Esta solicitação: $ 0,10 100 créditos de API Executar nesta página
Sua nova chave de API. Ela é exibida apenas agora e já está no código e no campo de chave de API abaixo. Mantenha-a em segredo: nunca a coloque em um código executado no navegador.
Seu primeiro resultado aparecerá aqui
Monte uma requisição abaixo e execute-a com sua chave de API. As saídas são copiadas para nosso armazenamento, mantidas para sempre ou por 7 dias gratuitamente.
Criar uma solicitação
Os controles são gerados a partir do esquema do modelo. O código e o preço são atualizados conforme você os altera.
/run/leffa/virtual-tryon?wait=20
cotação → $ 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
}
}
}
Executar esta solicitação
Sua chave permanece neste navegador: ela é enviada somente à Doitong API e salva (localStorage) apenas se você marcar Lembrar. Obter uma chave de API
Sobre Leffa Virtual TryOn
Renderiza uma roupa de uma imagem sobre a pessoa em outra. As entradas são `human_image_url`, `garment_image_url` e um `garment_type` obrigatório: upper_body, lower_body ou dresses. `num_inference_steps` vai até 50 (padrão 50) e `guidance_scale`, até 20. A saída é um único png ou jpeg, com `seed` para resultados reproduzíveis.
Parâmetros
num_inference_stepsopcional
seedopcional
guidance_scaleopcional
enable_safety_checkeropcional
output_formatopcional
human_image_urlobrigatório
garment_image_urlobrigatório
garment_typeobrigatório
Os parâmetros de arquivo aceitam uma URL https:// pública, um URI data: de até 10 MB ou o file_url de um upload. Arquivos
Saída
{
"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"
}
}
Campos da saída
- image
- object {url, content_type, file_name, file_size, width, height}Imagem produzida como saída.
- seed
- integerSeed usada durante a inferência.
- has_nsfw_concepts
- booleanIndicador de conceitos NSFW na imagem.
Outras variantes de Leffa
Mais modelos: Edição de imagem
Para agentes de IA: esta página em Markdown está em https://doitong.com/pt-BR/developers/models/leffa/virtual-tryon.md. Todos os modelos e guias: https://doitong.com/developers/llms.txt






