Firered Image Edit

Unganisha

Kitambulisho cha modeli firered-image-edit

# 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/firered-image-edit?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",
    "images": [
      "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/firered-image-edit?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",
    "images": [
      "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",
    "images": [
        "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/firered-image-edit", 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": "firered-image-edit",
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "images": [
      "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
    ]
  }
}

Piga modeli ya Firered Image Edit (firered-image-edit) kupitia Doitong API. Nyaraka za mawakala: https://doitong.com/sw/developers/models/firered-image-edit.md

POST https://api.doitong.ru/v1/run/firered-image-edit?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",
  "images": [
    "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/firered-image-edit yenye mwili uleule hurejesha bei kamili kabla ya kuendesha.

Ombi hili: ≈$ 0.033 salio za API 33 · ≈ ₽ 3.48 Iendeshe kwenye ukurasa huu

Pata ufunguo wa API

Xiaohongshu Uhariri wa Picha #image-editing#firered

Kihariri cha picha kinachoongozwa na maagizo, kinachokubali picha kadhaa za marejeo na vidokezo vya Kiingereza au Kichina

OpenAPI Markdown

Xiaohongshu · 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

Ombi la kuhariri picha lililoandikwa kwa Kiingereza au Kichina, likibainisha mabadiliko ya kutekeleza.

images •inahitajika image_urls

Dondosha faili, au

Toa URL za picha kwa kuhariri picha moja au kutumia picha kadhaa kama marejeleo. Kazi zinazotegemea marejeleo zinajumuisha virtual try-on na kuhamisha mtindo wa picha ya marejeleo.

image_size

Vipimo vya picha, huku None ikihifadhi vipimo vya ingizo badala ya kubainisha ukubwa mpya wa tokeo.

num_outputs num_images chaguomsingi 1

Idadi ya picha iliyoombwa kwa uzalishaji.

Ya kina negative_prompt · output_format · acceleration · num_inference_steps · guidance_scale · seed · enable_safety_checker

negative_prompt chaguomsingi

Kidokezo hasi kinachotumika wakati wa uzalishaji.

output_format chaguomsingi png

Muundo wa faili wa picha inayotokana.

acceleration chaguomsingi regular

Mpangilio wa kuongeza kasi kwa kuboresha kasi ya inference.

num_inference_steps chaguomsingi 30

Idadi ya hatua za inference, inayoweza kuongezwa ili kupata matokeo yenye ubora bora kwa ujumla.

guidance_scale chaguomsingi 4

Ufuasi wa kidokezo unaodhibitiwa kupitia classifier-free guidance: kuongeza scale hii hufanya uzalishaji ufuate kidokezo kwa karibu zaidi.

seed

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

POST /run/firered-image-edit?wait=20 makadirio → $ 0.033

# 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/firered-image-edit?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",
    "images": [
      "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/firered-image-edit?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",
    "images": [
      "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",
    "images": [
        "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/firered-image-edit", 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": "firered-image-edit",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "images": [
          "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 Firered Image Edit

Huhariri picha moja au zaidi kwa maagizo yaliyoandikwa katika `prompt`, kwa Kiingereza au Kichina. `image_urls` inaweza kuhifadhi marejeo kadhaa kwa kazi kama kujaribu mavazi mtandaoni au kuhamisha mtindo. Unaweza kuweka `num_images` kutoka 1 hadi 4, `num_inference_steps` kutoka 2 hadi 50, `guidance_scale` kutoka 1 hadi 10, na kutoa kama png au jpeg.

Vigezo

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

JinaAina ChaguomsingiInaruhusiwa Maelezo

promptinahitajika

Ainastring

Ombi la kuhariri picha lililoandikwa kwa Kiingereza au Kichina, likibainisha mabadiliko ya kutekeleza.

image_sizesi lazima

Ainaobject

square_hdsquareportrait_4_3portrait_16_9landscape_4_3landscape_16_9

Vipimo vya picha, huku None ikihifadhi vipimo vya ingizo badala ya kubainisha ukubwa mpya wa tokeo.

num_inference_stepssi lazima

Ainainteger

Chaguomsingi30

2 – 50

Idadi ya hatua za inference, inayoweza kuongezwa ili kupata matokeo yenye ubora bora kwa ujumla.

seedsi lazima

Ainainteger | null

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

guidance_scalesi lazima

Ainanumber

Chaguomsingi4

1 – 10

Ufuasi wa kidokezo unaodhibitiwa kupitia classifier-free guidance: kuongeza scale hii hufanya uzalishaji ufuate kidokezo kwa karibu zaidi.

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

jpegpng

Muundo wa faili wa picha inayotokana.

image_urlsinahitajika images

Ainaurl[] · image

Toa URL za picha kwa kuhariri picha moja au kutumia picha kadhaa kama marejeleo. Kazi zinazotegemea marejeleo zinajumuisha virtual try-on na kuhamisha mtindo wa picha ya marejeleo.

negative_promptsi lazima

Ainastring

Chaguomsingi

Kidokezo hasi kinachotumika wakati wa uzalishaji.

accelerationsi lazima

Ainaenum

Chaguomsingiregular

noneregularhigh

Mpangilio wa kuongeza kasi kwa kuboresha kasi ya inference.

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": "firered-image-edit",
  "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": 33,
    "usd": "0.033",
    "charged": 33,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_urls": [
      "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",
        "width": 1024,
        "height": 768,
        "content_type": "image/jpeg"
      }
    ],
    "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, width, height, content_type}Maelezo ya faili za picha zilizohaririwa zinazotokana.
timings: object
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.

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

Tokeo lako la kwanza linaonekana hapa

Unda ombi

Endesha ombi hili

Kuhusu Firered Image Edit

Vigezo

Tokeo

Miundo zaidi: Uhariri wa Picha

FLUX.1 Kontext [pro] Tofauti: 7

GPT Image 2.5 Edit Tofauti: 4

Nano Banana 2 Edit Tofauti: 2

Nano Banana Pro Edit Tofauti: 2