Images · Text to image · Image to image

Krea 3 API

Krea 3 (early access). Krea's newest image model — text-to-image and edits with up to 8 input images, fast / high / ultra thinking, 1K or 2K.

Price
From $0.01 per run $0.024/MP
Typical time
~15 s
Model id
krea_3

Krea 3 runs on one varg API key and one credit balance, the same as every other model here. You pay the provider's price, with no markup.

POST /v2/tools/image/call
curl -X POST https://api.varg.ai/v2/tools/image/call \
  -H "Authorization: Bearer $VARG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "krea_3",
  "prompt": "A ceramic teapot on a linen tablecloth, soft window light, film grain",
  "aspect_ratio": "4:3"
}'

Krea 3 pricing

From $0.01 per run. Prices are in US dollars and are the provider's own, with no markup. Krea 3 has 3 routes: "model": "krea_3" picks one automatically, or pass a route key as "model" to pin it. For the exact price of a request, send the same body to POST https://api.varg.ai/v2/estimate.

  • krea from $0.03/image
    krea:image/krea/krea-3

    Text to image, Image to image Krea 3 (early access) — Krea's newest image model: text-to-image and edits with up to 8 input images, fast / high / ultra thinking, 1K or 2K.

    Resolution 2k
    $0.06/image
    Other
    $0.03/image
    Extra per image_urls
    +$0.02
    Extra when thinking_mode is high
    +$0.02
    Extra when thinking_mode is ultra
    +$0.02
    Minimum charge
    $0.03
    Most one request can cost
    $0.24
    Typical time
    ~15 s
  • fal from $0.125/image
    fal:krea/v3/edit

    Image to image Krea 3 edit on fal — edits and combines 1-8 reference images from a text instruction; low / medium / high / ultra reasoning.

    Reasoning level ultra
    $0.35/image
    Reasoning level high
    $0.25/image
    Other
    $0.125/image
    Minimum charge
    $0.125
    Most one request can cost
    $0.35
    Typical time
    ~30 s
  • fal $0.024/MP
    fal:krea/v3/text-to-image

    Text to image Krea 3 text-to-image on fal — Krea's newest image model; berry (quality) or jam (speed).

    Per megapixel
    $0.024
    Minimum charge
    $0.01
    Most one request can cost
    $0.11
    Typical time
    ~30 s

Krea 3 inputs

The JSON body of the request. Media inputs are URLs: upload a local file with POST /v2/files and pass the URL it returns. Full JSON Schema, no key needed: api.varg.ai/v2/tools/image?model=krea_3

Krea 3 request fields
FieldWhat it does
model string requiredkrea_3 picks a route automatically. To pin one, pass a route key from Pricing above.
prompt string —
files array of { url } —
aspect_ratio string Allowed e.g. 16:9 | 9:16 | 1:1 | 4:3 | 3:4 | 21:9 | auto

Provider options

Optional, under provider_options.<provider>. Only the options of the provider that runs the job apply; pin a route to choose it.

provider_options.krea

Krea 3 options for krea
FieldWhat it does
prompt string Text description of the image to generate, or the edit to apply to the input images.
negative_prompt string What to keep out of the image.
image_urls array of URL strings —
seed number Random seed for reproducible generation.
width number Explicit output width in pixels (with height; instead of resolution). Allowed 0–4096
height number Explicit output height in pixels (with width; instead of resolution). Allowed 0–4096
resolution string Allowed 1k | 2k
aspect_ratio string Allowed 1:1 | 4:5 | 3:4 | 2:3 | 9:16 | 5:4 | 4:3 | 3:2 | 16:9 | 21:9
thinking_mode string Allowed fast | high | ultra

provider_options.fal

Krea 3 options for fal
FieldWhat it does
prompt string Description of the image to generate.
negative_prompt string What to keep out of the image. Used by berry only.
image_urls array of URL strings —
sync_mode boolean Return images as data URIs instead of saving them in request history.
output_format string Allowed png | jpeg
reasoning_level string Allowed low | medium | high | ultra
enable_safety_checker boolean Check output images for unsafe content. Disabling requires account authorization.

Call the Krea 3 API

POST https://api.varg.ai/v2/tools/image/call with Authorization: Bearer $VARG_API_KEY. It answers 202 with a job right away.

1. Send the request

cURL
curl -X POST https://api.varg.ai/v2/tools/image/call \
  -H "Authorization: Bearer $VARG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "krea_3",
  "prompt": "A ceramic teapot on a linen tablecloth, soft window light, film grain",
  "aspect_ratio": "4:3"
}'
JavaScript
JavaScript
const headers = {
  Authorization: `Bearer ${process.env.VARG_API_KEY}`,
  'Content-Type': 'application/json',
}

const res = await fetch('https://api.varg.ai/v2/tools/image/call', {
  method: 'POST',
  headers,
  body: JSON.stringify({
    "model": "krea_3",
    "prompt": "A ceramic teapot on a linen tablecloth, soft window light, film grain",
    "aspect_ratio": "4:3"
  }),
})
const job = await res.json() // { id: "job_…", status: "queued" }
Python
Python
import os
import requests

headers = {"Authorization": f"Bearer {os.environ['VARG_API_KEY']}"}

job = requests.post(
    "https://api.varg.ai/v2/tools/image/call",
    headers=headers,
    json={
      "model": "krea_3",
      "prompt": "A ceramic teapot on a linen tablecloth, soft window light, film grain",
      "aspect_ratio": "4:3"
    },
).json()  # {"id": "job_…", "status": "queued"}

2. Get the result

Poll the job until its status is completed, failed or cancelled; Krea 3 typically takes about 15 s. The result is at output.outputs[0].url.

GET /v2/jobs/{id}
curl https://api.varg.ai/v2/jobs/$JOB_ID \
  -H "Authorization: Bearer $VARG_API_KEY"

# Poll until "status" is completed, failed or cancelled.
# The result is in output.outputs[0].url
JavaScript
JavaScript
let current = job
while (!['completed', 'failed', 'cancelled'].includes(current.status)) {
  await new Promise((resolve) => setTimeout(resolve, 3000))
  current = await (await fetch(`https://api.varg.ai/v2/jobs/${current.id}`, { headers })).json()
}
console.log(current.output?.outputs?.[0]?.url)
Python
Python
import time

while job["status"] not in ("completed", "failed", "cancelled"):
    time.sleep(3)
    job = requests.get(f"https://api.varg.ai/v2/jobs/{job['id']}", headers=headers).json()

print(job["output"]["outputs"][0]["url"])
Or take a webhook instead of polling

Add options.webhook_url and varg POSTs the finished job to it.

request body
{
  "model": "krea_3",
  "prompt": "A ceramic teapot on a linen tablecloth, soft window light, film grain",
  "aspect_ratio": "4:3",
  "options": {
    "webhook_url": "https://your-app.com/varg-webhook"
  }
}

From Claude, ChatGPT or Cursor (MCP)

The varg MCP server, https://mcp.varg.ai/mcp, runs Krea 3 with call_tool. Sign in with varg, no API key to paste. How to connect it

call_tool
{
  "tool": "image",
  "input": {
    "model": "krea_3",
    "prompt": "A ceramic teapot on a linen tablecloth, soft window light, film grain",
    "aspect_ratio": "4:3"
  },
  "wait": true
}

Krea 3 API: questions

How much does Krea 3 cost on varg?
Krea 3 costs from $0.01 per run on varg ($0.024/MP on the cheapest route). varg charges the provider's price with no markup, from one credit balance. For the exact price of a request before you run it, send the same body to POST https://api.varg.ai/v2/estimate.
How do I call the Krea 3 API?
Send POST https://api.varg.ai/v2/tools/image/call with the header "Authorization: Bearer $VARG_API_KEY" and a JSON body that includes "model": "krea_3". The call answers 202 with a job right away. Poll GET https://api.varg.ai/v2/jobs/{id} until "status" is "completed", then read output.outputs[0].url, or pass options.webhook_url to be called back.
Can I use Krea 3 from Claude, ChatGPT or Cursor?
Yes. Add the varg MCP server (https://mcp.varg.ai/mcp) to Claude, ChatGPT, Cursor or any other MCP client and sign in with varg, with no API key to paste. The agent runs Krea 3 with call_tool, passing tool "image" and "model": "krea_3".
How long does a Krea 3 request take?
Typically about 15 s on the fastest route, by the catalog's estimate. The API answers at once with a job id, so nothing waits on an open connection while it runs.

For AI agents: this page as Markdown is varg.ai/models/krea_3.md, and every model is listed in varg.ai/models/llms.txt.