Clarity Upscaler

Unganisha

Kitambulisho cha modeli clarity-upscaler

# 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/clarity-upscaler?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"
  }'

# 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/clarity-upscaler?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image": "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 = {
    "image": "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/clarity-upscaler", 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": "clarity-upscaler",
  "input": {
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }
}

Piga modeli ya Clarity Upscaler (clarity-upscaler) kupitia Doitong API. Nyaraka za mawakala: https://doitong.com/sw/developers/models/clarity-upscaler.md

POST https://api.doitong.ru/v1/run/clarity-upscaler?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json

{
  "image": "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/clarity-upscaler yenye mwili uleule hurejesha bei kamili kabla ya kuendesha.

Faili kama mfano: $ 0.126 salio za API 126 · ≈ ₽ 13.19 faili zako hupimwa kabla ya kuendesha Iendeshe kwenye ukurasa huu

Pata ufunguo wa API

Clarity AI Kuboresha Azimio #upscaling

Kiboreshaji cha picha cha diffusion chenye vidhibiti vya ubunifu na ufanano, kikiongeza ukubwa mara 1 hadi 4

OpenAPI Markdown

Clarity AI · 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 ya picha yako ya kutolewa

Bei kulingana na uingizaji wako

$ 0.03 / megapikseli ya picha ya tokeo

salio za API 30 / megapikseli ya picha ya tokeo · ≈ ₽ 3.14

Ombi hili: megapikseli 4.1943 × $ 0.03 $ 0.126 salio za API 126 · ≈ ₽ 13.19

Endesha · $ 0.126

Hutozwa tu ikifanikiwa, na kurejeshewa kiotomatiki ikishindwa.

upscale_factor chaguomsingi 2

Faili zako za kuingiza

image_url

Upana, px Kimo, px

Kikokotoo hutumia nambari hizi. POST /quote/clarity-upscaler 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.

prompt chaguomsingi masterpiece, best qua...

Eleza picha unayotaka kuzalisha kwa maelezo mengi iwezekanavyo ili kupata matokeo bora.

image •inahitajika image_url

Dondosha faili, au

URL inayoelekeza kwenye picha chanzo ya kuongeza mwonekano.

upscale_factor chaguomsingi 2

Kizidishi kinachotumika kuongeza mwonekano.

Ya kina negative_prompt · creativity · resemblance · guidance_scale · num_inference_steps · seed · enable_safety_checker

negative_prompt chaguomsingi (worst quality, low q...

Kidokezo hasi kinachobainisha maelezo ya kuondoa kwenye picha.

creativity chaguomsingi 0.35

Ubunifu wa modeli, unaodhibitiwa na nguvu ya kuondoa kelele ya sampuli. Thamani za juu huruhusu kuachana zaidi na kidokezo.

resemblance chaguomsingi 0.6

Ufanano wa tokeo lililoboreshwa na chanzo chake, unaodhibitiwa na nguvu ya ControlNet. Thamani za juu huifanya modeli ihifadhi zaidi picha ya awali.

guidance_scale chaguomsingi 4

Nguvu ya kufuata kidokezo kwa uteuzi wa picha, iliyoonyeshwa kama CFG (Classifier Free Guidance).

num_inference_steps chaguomsingi 18

Idadi ya hatua za inference zitakazoendeshwa.

seed

Mbegu ya kurudia picha katika Stable Diffusion. Picha inaweza kurudiwa kwa usahihi kila uendeshaji kwa kuweka toleo la modeli, kidokezo na mbegu bila kubadilika.

POST /run/clarity-upscaler?wait=20 makadirio → $ 0.126

# 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/clarity-upscaler?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"
  }'

# 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/clarity-upscaler?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image": "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 = {
    "image": "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/clarity-upscaler", 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": "clarity-upscaler",
      "input": {
        "image": "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 Clarity Upscaler

Huboresha azimio la picha kwa kipengele kutoka 1 hadi 4. `creativity` (0 hadi 1) huweka kiasi cha maelezo ambayo modeli inaweza kubuni, huku `resemblance` (0 hadi 1) ikisukuma tokeo libaki karibu na asili. `prompt` na `negative_prompt` huongoza maelezo yaliyoongezwa. `guidance_scale`, `num_inference_steps` (4 hadi 50) na mbegu zinaweza kurekebishwa.

Vigezo

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

JinaAina ChaguomsingiInaruhusiwa Maelezo

image_urlinahitajika image

Ainaurl · image

URL inayoelekeza kwenye picha chanzo ya kuongeza mwonekano.

promptsi lazima

Ainastring

Chaguomsingimasterpiece, best quality, highres

Eleza picha unayotaka kuzalisha kwa maelezo mengi iwezekanavyo ili kupata matokeo bora.

upscale_factorsi lazima

Ainanumber

Chaguomsingi2

1 – 4

Kizidishi kinachotumika kuongeza mwonekano.

negative_promptsi lazima

Ainastring

Chaguomsingi(worst quality, low quality, normal quality:2)

Kidokezo hasi kinachobainisha maelezo ya kuondoa kwenye picha.

creativitysi lazima

Ainanumber

Chaguomsingi0.35

0 – 1

Ubunifu wa modeli, unaodhibitiwa na nguvu ya kuondoa kelele ya sampuli. Thamani za juu huruhusu kuachana zaidi na kidokezo.

resemblancesi lazima

Ainanumber

Chaguomsingi0.6

0 – 1

Ufanano wa tokeo lililoboreshwa na chanzo chake, unaodhibitiwa na nguvu ya ControlNet. Thamani za juu huifanya modeli ihifadhi zaidi picha ya awali.

guidance_scalesi lazima

Ainanumber

Chaguomsingi4

0 – 20

Nguvu ya kufuata kidokezo kwa uteuzi wa picha, iliyoonyeshwa kama CFG (Classifier Free Guidance).

num_inference_stepssi lazima

Ainainteger

Chaguomsingi18

4 – 50

Idadi ya hatua za inference zitakazoendeshwa.

seedsi lazima

Ainainteger | null

≥ 0

Mbegu ya kurudia picha katika Stable Diffusion. Picha inaweza kurudiwa kwa usahihi kila uendeshaji kwa kuweka toleo la modeli, kidokezo na mbegu bila kubadilika.

enable_safety_checkersi lazima

Ainaboolean

Chaguomsingitrue

Swichi ya kikagua usalama; kuiweka kuwa false huzima ukaguzi.

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": "clarity-upscaler",
  "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": 126,
    "usd": "0.126",
    "charged": 126,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "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,
      "width": 1024,
      "height": 768
    },
    "seed": 42,
    "timings": {}
  },
  "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, width, height}URL inayoelekeza kwenye picha iliyozalishwa.
seed: integerMbegu inayotumika wakati wa uzalishaji wa picha.
timings: objectTaarifa za muda za hatua mahususi za mtiririko wa kazi.

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

Tokeo lako la kwanza linaonekana hapa

Unda ombi

Endesha ombi hili

Kuhusu Clarity Upscaler

Vigezo

Tokeo

Miundo zaidi: Kuboresha Azimio

Topaz Image Upscale Tofauti: 4

Topaz Video Upscale Tofauti: 3

Crystal Upscaler Tofauti: 2

Crystal Upscaler [Video] Tofauti: 2