Chrono Edit Lora Gallery · Paintbrush
Integreren
chrono-edit-lora-gallery/paintbrush
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/chrono-edit-lora-gallery/paintbrush?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image": "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.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/chrono-edit-lora-gallery/paintbrush?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"image": "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/chrono-edit-lora-gallery/paintbrush", 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/nl/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.ru/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "chrono-edit-lora-gallery/paintbrush",
"input": {
"image": "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"
}
}
Roep het Chrono Edit Lora Gallery · Paintbrush-model (chrono-edit-lora-gallery/paintbrush) aan via de Doitong API. Documentatie voor agents: https://doitong.com/nl/developers/models/chrono-edit-lora-gallery/paintbrush.md
POST https://api.doitong.ru/v1/run/chrono-edit-lora-gallery/paintbrush?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"image": "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"
}
Als de responsstatus "queued" of "running" is, poll dan GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 totdat deze "succeeded" is; de bestanden staan in outputs[].url. POST https://api.doitong.ru/v1/quote/chrono-edit-lora-gallery/paintbrush met dezelfde body retourneert de exacte prijs vóór de uitvoering.
Deze request: $ 0,02 20 API-tegoed · ≈ ₽ 2,15 Op deze pagina uitvoeren
Je nieuwe API-sleutel. Deze wordt alleen nu getoond en staat al in de code en in het onderstaande API-sleutelveld. Houd deze geheim: zet deze nooit in code die in een browser wordt uitgevoerd.
Je eerste resultaat komt hier
Bouw hieronder een request en voer die uit met je API-sleutel. Uitvoer wordt naar onze opslag gekopieerd en voor altijd of 7 dagen gratis bewaard.
Een aanvraag samenstellen
Besturingselementen worden gegenereerd op basis van het modelschema. De code en de prijs worden bijgewerkt terwijl je ze wijzigt.
/run/chrono-edit-lora-gallery/paintbrush?wait=20
prijsopgave → $ 0,02
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/chrono-edit-lora-gallery/paintbrush?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image": "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.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/chrono-edit-lora-gallery/paintbrush?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"image": "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/chrono-edit-lora-gallery/paintbrush", 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": "chrono-edit-lora-gallery/paintbrush",
"input": {
"image": "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
}
}
}
Deze request uitvoeren
Je sleutel blijft in deze browser: hij wordt alleen naar de Doitong API verzonden en alleen in localStorage opgeslagen als je Onthouden aanvinkt. API-sleutel ophalen
Over Chrono Edit Lora Gallery · Paintbrush
Bewerkt een afbeelding door daarop geschetste gebieden te transformeren volgens de `prompt`. Een optionele `mask_url` markeert de te schilderen gebieden, waarbij zwarte delen aangeven waar. `lora_scale` loopt van 0 tot 2, de resolutie is 480p of 720p en de standaarduitvoer is png. Via `loras` kunnen maximaal 3 extra LoRAs worden samengevoegd.
Parameters
Stuur de canonieke naam of de oorspronkelijke naam, niet beide. Canonieke namen
image_urlverplicht
image
mask_urloptioneel
mask
promptverplicht
num_inference_stepsoptioneel
guidance_scaleoptioneel
resolutionoptioneel
enable_safety_checkeroptioneel
lora_scaleoptioneel
seedoptioneel
output_formatoptioneel
turbo_modeoptioneel
lorasoptioneel
loras[].pathverplicht
loras[].scaleoptioneel
Bestandsparameters accepteren een openbare https:// URL, een data: URI tot 10 MB of de file_url van een upload. Bestanden
Uitvoer
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "chrono-edit-lora-gallery/paintbrush",
"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": 20,
"usd": "0.02",
"charged": 20,
"refunded": 0
},
"input": {
"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
}
],
"prompt": "The user wants to add a surfer to the wave in the illustration while preserving the original ukiyo-e woodblock art style. The surfer should be depicted mid-action, crouched low on a modern-style surfboard, carving through the crest of the wave with one arm extended for balance and the other gripping the board. Their wavy hair and athletic physique should match the dynamic motion. The background must remain unchanged, including the iconic Mount Fuji and the traditional Japanese text, to maintain the artwork's historical aesthetic and composition.",
"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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Velden van de uitvoer
- images
- array of object {url, content_type, file_name, file_size, width, height}Afbeelding die uit de bewerking resulteert.
- prompt
- stringPrompt die aan het inferentieproces wordt doorgegeven.
- seed
- integerSeed die tijdens inferentie wordt gebruikt.
Andere varianten van Chrono Edit Lora Gallery
Meer modellen: Afbeelding bewerken
Voor AI-agents: deze pagina als Markdown staat op https://doitong.com/nl/developers/models/chrono-edit-lora-gallery/paintbrush.md. Alle modellen en handleidingen: https://doitong.com/developers/llms.txt






