PuLID
Integrēt
pulid
# 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/pulid?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"reference_images": [
{
"image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/pulid?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"reference_images": [
{
"image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"reference_images": [
{
"image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
},
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/pulid", 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/lv/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": "pulid",
"input": {
"reference_images": [
{
"image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
}
Izsauciet PuLID modeli (pulid), izmantojot Doitong API. Dokumentācija aģentiem: https://doitong.com/lv/developers/models/pulid.md
POST https://api.doitong.com/v1/run/pulid?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"reference_images": [
{
"image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
Ja atbildes statuss ir "queued" vai "running", periodiski izsauciet GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20, līdz tas kļūst par "succeeded"; faili atrodas outputs[].url. POST https://api.doitong.com/v1/quote/pulid ar to pašu pamattekstu atgriež precīzu cenu pirms izpildes.
Šis pieprasījums: ≈0,009 $ 9 API kredīti Izpildīt šajā lapā
Jūsu jaunā API atslēga. Tā tiek parādīta tikai tagad un jau ir ievietota kodā un tālāk esošajā API atslēgas laukā. Glabājiet to noslēpumā: nekad neievietojiet to kodā, kas darbojas pārlūkprogrammā.
Šeit būs jūsu pirmais rezultāts
Izveidojiet pieprasījumu tālāk un izpildiet to ar savu API atslēgu. Izvades tiek kopētas mūsu krātuvē un glabātas mūžīgi vai 7 dienas bez maksas.
Izveidot pieprasījumu
Vadīklas tiek ģenerētas no modeļa shēmas. Kods un cena tiek atjaunināti, kad tos maināt.
/run/pulid?wait=20
cena → 0,009 $
# 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/pulid?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"reference_images": [
{
"image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/pulid?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"reference_images": [
{
"image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"reference_images": [
{
"image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
},
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/pulid", 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": "pulid",
"input": {
"reference_images": [
{
"image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
},
"wait_seconds": 20
}
}
}
Palaist šo pieprasījumu
Jūsu atslēga paliek šajā pārlūkprogrammā: tā tiek nosūtīta tikai uz Doitong API un saglabāta (localStorage) tikai tad, ja atzīmējat Atcerēties. Iegūt API atslēgu
Par PuLID
Saņem sejas `reference_images` (ieteicami aptuveni 4) un `prompt`, pēc tam izveido attēlus, saglabājot identitāti. `mode` ir fidelity vai extreme stils, `id_scale` ir no 0 līdz 5, bet `id_mix` ļauj sajaukt divas identitātes. Var ģenerēt līdz 8 attēliem ar 1 līdz 12 soļiem un `guidance_scale` no 1 līdz 1.5.
Parametri
Nosūti vai nu kanonisko nosaukumu, vai vietējo nosaukumu, bet ne abus. Kan啤niskie nosaukumi
reference_imagesobligāts
reference_images[].image_urlobligāts
promptobligāts
negative_promptneobligāts
num_imagesneobligāts
num_outputs
guidance_scaleneobligāts
num_inference_stepsneobligāts
seedneobligāts
image_sizeneobligāts
id_scaleneobligāts
modeneobligāts
id_mixneobligāts
enable_safety_checkerneobligāts
Izvade
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "pulid",
"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": 9,
"usd": "0.009",
"charged": 9,
"refunded": 0
},
"input": {
"reference_images": [
{
"image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
],
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
},
"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,
"width": 1024,
"height": 768
}
],
"seed": 42
},
"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"
}
}
Izvades lauki
- images
- array of object {url, content_type, file_name, file_size, width, height}Ģenerētie attēli, kas atgriezti saraksta veidā.
- seed
- integerNejauša sēkla rezultātu atkārtošanai.
Vairāk modeļu: Attēlu rediģēšana
AI aģentiem: šī lapa Markdown formātā ir pieejama https://doitong.com/lv/developers/models/pulid.md. Visi modeļi un ceļveži: https://doitong.com/developers/llms.txt



