Z Image Turbo Inpaint

Unganisha

Kitambulisho cha modeli z-image/turbo/inpaint

# 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/z-image/turbo/inpaint?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# 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/z-image/turbo/inpaint?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }),
});
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 = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/z-image/turbo/inpaint", 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/sw/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": "z-image/turbo/inpaint",
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }
}

Piga modeli ya Z Image Turbo Inpaint (z-image/turbo/inpaint) kupitia Doitong API. Nyaraka za mawakala: https://doitong.com/sw/developers/models/z-image/turbo/inpaint.md

POST https://api.doitong.ru/v1/run/z-image/turbo/inpaint?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json

{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "mask_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}

Ikiwa hali ya jibu ni "queued" au "running", piga GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 mara kwa mara hadi iwe "succeeded"; faili ziko kwenye outputs[].url. POST https://api.doitong.ru/v1/quote/z-image/turbo/inpaint yenye mwili uleule hurejesha bei kamili kabla ya kuendesha.

Ombi hili: ≈$ 0.03 salio za API 30 · ≈ ₽ 3.23 Iendeshe kwenye ukurasa huu

Pata ufunguo wa API

Alibaba Uhariri wa Picha Haraka #inpainting

Uhariri wa uchoraji upya unaozalisha eneo lililofunikwa la picha kutoka kwa kidokezo, ukiwa na matokeo 1 hadi 4

OpenAPI Markdown

Alibaba · Picha

Tokeo lako la kwanza linaonekana hapa

Unda ombi hapa chini na uliendeshe kwa ufunguo wako wa API. Matokeo yanakiliwa kwenye hifadhi yetu, yakihifadhiwa milele au 7 siku bila malipo.

Unda ombi

Vidhibiti vinazalishwa kutoka kwenye schema ya modeli. Msimbo na bei husasishwa unapovibadilisha.

prompt •inahitajika

Kidokezo kinachoongoza uzalishaji wa picha.

image •inahitajika image_url

Dondosha faili, au

URL ya picha inayotumika kama ingizo la uchoraji wa ndani.

mask_image_url •inahitajika

Dondosha faili, au

URL ya barakoa inayotumika kama ingizo la uchoraji wa ndani.

image_size chaguomsingi auto

Vipimo vya picha iliyozalishwa.

num_outputs num_images chaguomsingi 1

Idadi ya picha iliyoombwa kwa uzalishaji.

Ya kina output_format · acceleration · num_inference_steps · control_scale · control_start · control_end · strength · seed · enable_safety_checker · enable_prompt_expansion

output_format chaguomsingi png

Muundo wa faili wa picha inayotokana.

acceleration chaguomsingi regular

Kiwango cha kuongeza kasi kinachotumika kwenye uchakataji.

num_inference_steps chaguomsingi 8

Idadi ya hatua za inference zitakazoendeshwa.

control_scale chaguomsingi 0.75

Nguvu ya conditioning inayotumiwa na ControlNet.

control_start chaguomsingi 0

Hatua ya kuanzia ya urekebishaji wa ControlNet.

control_end chaguomsingi 0.8

Hatua ya kumalizia ya urekebishaji wa ControlNet.

strength chaguomsingi 1

Nguvu ya urekebishaji kwa uchoraji wa ndani.

seed

Seed ya picha zinazoweza kurudiwa: kidokezo na seed zinazofanana huzalisha picha inayofanana wakati toleo la modeli halijabadilika.

POST /run/z-image/turbo/inpaint?wait=20 makadirio → $ 0.03

# 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/z-image/turbo/inpaint?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# 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/z-image/turbo/inpaint?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }),
});
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 = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/z-image/turbo/inpaint", 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": "z-image/turbo/inpaint",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "mask_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      },
      "wait_seconds": 20
    }
  }
}

Endesha ombi hili

Ufunguo wa API

Key yako inabaki kwenye kivinjari hiki: inatumwa kwa Doitong API pekee na kuhifadhiwa (localStorage) tu ukiweka tiki kwenye Kumbuka. Kumbuka katika kivinjari hiki Pata ufunguo wa API

Kuhusu Z Image Turbo Inpaint

Huhariri sehemu ya picha: toa `image_url`, `mask_image_url` inayoonyesha eneo la kubadilishwa, na `prompt` inayoeleza kitakachotengenezwa. `strength` na mipangilio ya udhibiti (`control_scale`, `control_start`, `control_end`) hurekebisha jinsi matokeo yanavyofuata asili. Hufanya hadi hatua 8 za uelekezaji, hurudisha picha 1 hadi 4, na inaweza kutoa png, jpeg au webp.

Vigezo

Tuma jina rasmi au jina asilia, si yote mawili. Majina rasmi

JinaAina ChaguomsingiInaruhusiwa Maelezo

promptinahitajika

Ainastring

Kidokezo kinachoongoza uzalishaji wa picha.

image_sizesi lazima

Ainaobject

Chaguomsingiauto

square_hdsquareportrait_4_3portrait_16_9landscape_4_3landscape_16_9auto

Vipimo vya picha iliyozalishwa.

num_inference_stepssi lazima

Ainainteger

Chaguomsingi8

1 – 8

Idadi ya hatua za inference zitakazoendeshwa.

seedsi lazima

Ainainteger | null

Seed ya picha zinazoweza kurudiwa: kidokezo na seed zinazofanana huzalisha picha inayofanana wakati toleo la modeli halijabadilika.

num_imagessi lazima num_outputs

Ainainteger

Chaguomsingi1

1 – 4

Idadi ya picha iliyoombwa kwa uzalishaji.

enable_safety_checkersi lazima

Ainaboolean

Chaguomsingitrue

Ukaguzi wa usalama, unaorejesha picha nyeusi badala ya picha zilizobainishwa kuwa si salama. Thamani ya true huanzisha ukaguzi; false huuzima tu kwa akaunti zilizoidhinishwa, huku maombi yasiyo na idhini yakikaguliwa bila kujali.

output_formatsi lazima

Ainaenum

Chaguomsingipng

jpegpngwebp

Muundo wa faili wa picha inayotokana.

accelerationsi lazima

Ainaenum

Chaguomsingiregular

noneregularhigh

Kiwango cha kuongeza kasi kinachotumika kwenye uchakataji.

enable_prompt_expansionsi lazima

Ainaboolean

Chaguomsingifalse

Hudhibiti ikiwa upanuzi wa kidokezo umewashwa.

image_urlinahitajika image

Ainaurl · image

URL ya picha inayotumika kama ingizo la uchoraji wa ndani.

control_scalesi lazima

Ainanumber

Chaguomsingi0.75

0 – 1

Nguvu ya conditioning inayotumiwa na ControlNet.

control_startsi lazima

Ainanumber

Chaguomsingi0

0 – 1

Hatua ya kuanzia ya urekebishaji wa ControlNet.

control_endsi lazima

Ainanumber

Chaguomsingi0.8

0 – 1

Hatua ya kumalizia ya urekebishaji wa ControlNet.

mask_image_urlinahitajika

Ainaurl · image

URL ya barakoa inayotumika kama ingizo la uchoraji wa ndani.

strengthsi lazima

Ainanumber

Chaguomsingi1

≤ 1> 0

Nguvu ya urekebishaji kwa uchoraji wa ndani.

inahitajika Jina rasmi, pia linakubalika

Vigezo vya faili vinakubali URL ya umma ya https://, data: URI ya hadi 10 MB, au file_url ya upakiaji. Faili

Tokeo

GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t

{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "z-image/turbo/inpaint",
  "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": 30,
    "usd": "0.03",
    "charged": 30,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "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
      }
    ],
    "timings": {},
    "seed": 42,
    "has_nsfw_concepts": [
      false
    ],
    "prompt": "string"
  },
  "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"
  }
}

Faili zako, chaguo lakoKila outputs[].url ni nakala kwenye hifadhi yetu: huhifadhiwa milele (hutozwa kwa GB kwa mwezi) au 7 siku bila malipo, kulingana na mpangilio wa akaunti yako au ?storage=.

Muundo uleule kwenye kila modelitype, url, content_type, width, height na duration, kwa picha, video na sauti. output ni kitu cha matokeo cha modeli yenyewe.

Sehemu za tokeo

images: array of object {url, content_type, file_name, file_size, width, height}Maelezo ya faili za picha zilizozalishwa.
timings: objectMaelezo ya muda wa mchakato wa uzalishaji.
seed: integerSeed ya uzalishaji wa picha, ikijumuisha thamani iliyochaguliwa bila mpangilio ikiwa ingizo halikutoa seed; vinginevyo, hurudia thamani iliyotolewa.
has_nsfw_concepts: array of booleanHuonyesha ikiwa dhana za NSFW zinaonekana katika picha zilizozalishwa.
prompt: stringKidokezo kinachotumika wakati wa uzalishaji wa picha.

Miundo zaidi: Uhariri wa Picha

Kwa mawakala wa AI: ukurasa huu katika Markdown unapatikana kwenye https://doitong.com/sw/developers/models/z-image/turbo/inpaint.md. Modeli na miongozo yote: https://doitong.com/developers/llms.txt

Tokeo lako la kwanza linaonekana hapa

Unda ombi

Endesha ombi hili

Kuhusu Z Image Turbo Inpaint

Vigezo

Tokeo

Tofauti nyingine za Z Image Turbo

Miundo zaidi: Uhariri wa Picha