Topaz Image Upscale

Unganisha

Kitambulisho cha modeli topaz/upscale/image/precision

# 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/topaz/upscale/image/precision?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",
    "upscale_factor": 2
  }'

# 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/topaz/upscale/image/precision?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "upscale_factor": 2
  }),
});
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",
    "upscale_factor": 2,
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/topaz/upscale/image/precision", 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": "topaz/upscale/image/precision",
  "input": {
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "upscale_factor": 2
  }
}

Piga modeli ya Topaz Image Upscale (topaz/upscale/image/precision) kupitia Doitong API. Nyaraka za mawakala: https://doitong.com/sw/developers/models/topaz/upscale/image/precision.md

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

{
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "upscale_factor": 2
}

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/topaz/upscale/image/precision yenye mwili uleule hurejesha bei kamili kabla ya kuendesha.

Faili kama mfano: $ 0.08 salio za API 80 · ≈ ₽ 8.44 faili zako hupimwa kabla ya kuendesha Iendeshe kwenye ukurasa huu

Pata ufunguo wa API

Topaz Labs Kuboresha Azimio #upscale#restoration#faces

Kikuza picha cha Topaz Labs chenye urejeshaji wa uso, uondoaji wa kelele na kunoa, hadi 4x.

OpenAPI Markdown

Topaz Labs · 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

Bei kwa kila megapikseli 24 za picha yako ya kutolewa

Bei kulingana na uingizaji wako

$ 0.08 / megapikseli 24 za picha ya tokeo

salio za API 80 / megapikseli 24 za picha ya tokeo · ≈ ₽ 8.44

Ombi hili: 1 × megapikseli 24 × $ 0.08 $ 0.08 salio za API 80 · ≈ ₽ 8.44

Endesha · $ 0.08

Hutozwa tu ikifanikiwa, na kurejeshewa kiotomatiki ikishindwa.

upscale_factor

Faili zako za kuingiza

image_url

Upana, px Kimo, px

Kikokotoo hutumia nambari hizi. POST /quote/topaz/upscale/image/precision hupima faili zako halisi na kurejesha bei kamili.

Faili zako hupimwa kabla ya kuendeshwa (urefu, mwonekano, kasi ya fremu); makadirio hurejesha bei kamili na uendeshaji hutozwa kiasi hicho hicho.

Endpoint ya makadirio: POST /quote/{id}

Unda ombi

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

image •inahitajika image_url

Dondosha faili, au

URL ya picha chanzo ya kuongeza mwonekano.

upscale_factor

Kizidishi cha kupanua picha; kwa mfano, 2.0 huongeza mara mbili vipimo vyote viwili.

Ya kina model · output_format · subject_detection · face_enhancement_creativity · face_enhancement_strength · sharpen · denoise · fix_compression · strength · crop_to_fill · face_enhancement

model chaguomsingi Standard V2

Uteuzi wa modeli ya kuongeza mwonekano kwa usahihi: Faces hutumia Face Recovery 3 kwa ujenzi wa nyuso, Text Refine huhifadhi maandishi na maumbo makali, na CGI inafaa kwa sanaa na michoro iliyorenderwa. Kwa picha, Standard V2 inatosheleza matumizi mengi, High Fidelity V3 na High Fidelity V2 huhifadhi maelezo ya picha za kitaalamu, na Low Resolution V2 hujenga upya vyanzo vilivyobanwa.

output_format chaguomsingi jpeg

Muundo unaotumika kwa picha iliyoongezwa mwonekano.

subject_detection chaguomsingi All

Setting ya utambuzi wa mada inayotumika wakati wa kuboresha picha.

face_enhancement_creativity chaguomsingi 0

Udhibiti wa ubunifu wa kuboresha uso, unaofanya kazi tu uboreshaji wa uso ukiwashwa: weka 1.0 kwa ubunifu wa juu au 0.0 kwa kutotumia.

face_enhancement_strength chaguomsingi 0.8

Udhibiti wa nguvu ya kuboresha uso, unaofanya kazi tu uboreshaji wa uso ukiwashwa: weka 1.0 kwa uboreshaji wa juu au 0.0 kwa kutotumia.

sharpen

Nguvu ya kunoa kutoka 0.0 hadi 1.0, yenye thamani chaguomsingi inayotegemea modeli.

denoise

Nguvu ya kuondoa kelele kutoka 0.0 hadi 1.0, yenye thamani chaguomsingi inayotegemea modeli.

fix_compression

Nguvu ya kuondoa mabaki ya compression kutoka 0.0 hadi 1.0; haipatikani kwa CGI.

strength

Nguvu ya uboreshaji kutoka 0.01 hadi 1.0, inayoungwa mkono na Text Refine pekee.

POST /run/topaz/upscale/image/precision?wait=20 makadirio → $ 0.08

# 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/topaz/upscale/image/precision?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",
    "upscale_factor": 2
  }'

# 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/topaz/upscale/image/precision?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "upscale_factor": 2
  }),
});
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",
    "upscale_factor": 2,
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/topaz/upscale/image/precision", 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": "topaz/upscale/image/precision",
      "input": {
        "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "upscale_factor": 2
      },
      "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 Topaz Image Upscale

Hukuza picha au kurenda hadi mara nne kwa kutumia modeli za Topaz zilizoboreshwa kwa vyanzo tofauti: picha za kawaida, usahihi wa juu, vyanzo vya mwonekano wa chini, CGI, maandishi na nyuso. Uboreshaji wa hiari wa uso, uondoaji wa kelele, kunoa na urekebishaji wa mbano; tokeo la JPEG au PNG.

Vigezo

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

JinaAina ChaguomsingiInaruhusiwa Maelezo

image_urlinahitajika image

Ainaurl · image

URL ya picha chanzo ya kuongeza mwonekano.

modelsi lazima

Ainaenum

ChaguomsingiStandard V2

Standard V2High Fidelity V3High Fidelity V2Low Resolution V2CGIText RefineFaces

upscale_factorsi lazima

Ainanumber

Chaguomsingi2

1 – 4

Kizidishi cha kupanua picha; kwa mfano, 2.0 huongeza mara mbili vipimo vyote viwili.

crop_to_fillsi lazima

Ainaboolean

Chaguomsingifalse

output_formatsi lazima

Ainaenum

Chaguomsingijpeg

jpegpng

Muundo unaotumika kwa picha iliyoongezwa mwonekano.

subject_detectionsi lazima

Ainaenum

ChaguomsingiAll

AllForegroundBackground

Setting ya utambuzi wa mada inayotumika wakati wa kuboresha picha.

face_enhancementsi lazima

Ainaboolean

Chaguomsingitrue

Swichi ya kuboresha uso wa picha.

face_enhancement_creativitysi lazima

Ainanumber

Chaguomsingi0

0 – 1

Udhibiti wa ubunifu wa kuboresha uso, unaofanya kazi tu uboreshaji wa uso ukiwashwa: weka 1.0 kwa ubunifu wa juu au 0.0 kwa kutotumia.

face_enhancement_strengthsi lazima

Ainanumber

Chaguomsingi0.8

0 – 1

Udhibiti wa nguvu ya kuboresha uso, unaofanya kazi tu uboreshaji wa uso ukiwashwa: weka 1.0 kwa uboreshaji wa juu au 0.0 kwa kutotumia.

sharpensi lazima

Ainanumber | null

0 – 1

Nguvu ya kunoa kutoka 0.0 hadi 1.0, yenye thamani chaguomsingi inayotegemea modeli.

denoisesi lazima

Ainanumber | null

0 – 1

Nguvu ya kuondoa kelele kutoka 0.0 hadi 1.0, yenye thamani chaguomsingi inayotegemea modeli.

fix_compressionsi lazima

Ainanumber | null

0 – 1

Nguvu ya kuondoa mabaki ya compression kutoka 0.0 hadi 1.0; haipatikani kwa CGI.

strengthsi lazima

Ainanumber | null

0.01 – 1

Nguvu ya uboreshaji kutoka 0.01 hadi 1.0, inayoungwa mkono na Text Refine pekee.

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": "topaz/upscale/image/precision",
  "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": 80,
    "usd": "0.08",
    "charged": 80,
    "refunded": 0
  },
  "input": {
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "upscale_factor": 2
  },
  "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
    }
  },
  "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

image: object {url, content_type, file_name, file_size}Picha iliyozalishwa kwa kuongeza mwonekano.

Miundo zaidi: Kuboresha Azimio

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

Tokeo lako la kwanza linaonekana hapa

Unda ombi

Endesha ombi hili

Kuhusu Topaz Image Upscale

Vigezo

Tokeo

Tofauti nyingine za Topaz Image Upscale

Topaz Upscale Image Creative Tofauti: 4

Topaz Upscale Image Generative Tofauti: 4

Topaz Upscale Image Transparent Tofauti: 4

Miundo zaidi: Kuboresha Azimio

Topaz Video Upscale Tofauti: 3

Topaz Upscale Video Creative Tofauti: 3

Topaz Upscale Video Generative Tofauti: 3

AuraSR