Image Generation

Magnific Upscaler API

Freepik Magnific upscaler. Creative or precision mode, up to 16x. Integrate this model via REST with endpoint docs, parameters, and code examples.

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Img2Img

Credit Cost

3 credits

Type

Image

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API Endpoint

POST

/api/v1/models/magnific-upscaler/run

Test This Model

Run a real request through the API pipeline and inspect the exact input and output your integration will handle. Uses your credits like any API call; failed runs are refunded automatically.

LLM.txt

AI-Ready

For AI assistants

Copy this model's documentation into Claude, GPT, or any AI for instant integration help.

/llm/magnific-upscaler.txt

OpenAPI Spec

Swagger compatible

Import into Postman, Swagger UI, or generate client SDKs in any language.

/api/openapi

Parameters

Input parameters accepted by this model

Parameter	Type	Description	Default
`image` required	url	Reference image URL.	-
`mode`	enum	Generation mode. `creativeprecision`	`creative`
`scale_factor`	enum	Upscale factor (2x, 4x, etc.). `2x4x8x16x`	`2x`
`prompt`	string	Text instruction describing what to generate or edit.
`creativity`	integer	How much creative latitude the upscaler / refiner takes when adding detail. Higher = more invention. min: -10 \| max: 10	`0`
`hdr`	integer	Apply HDR-style dynamic-range expansion to the output. min: -10 \| max: 10	`0`
`resemblance`	integer	How closely the upscaled output should resemble the original. Higher = more faithful, less reinvention. min: -10 \| max: 10	`0`
`fractality`	integer	Detail-fractality boost. Higher = more micro-detail injected at every scale level. min: -10 \| max: 10	`0`
`engine`	enum	Upscaling engine. "automatic" picks for you; the three named engines each emphasize different detail characteristics (illusio = stylized, sharpy = crisp, sparkle = high-contrast). `automaticmagnific_illusiomagnific_sharpymagnific_sparkle`	`automatic`
`optimized_for`	enum	Content-type hint that biases the upscaler's detail synthesis toward that category (portraits, art, landscapes, etc.). `standardsoft_portraitshard_portraitsart_n_illustrationvideogame_assets`+4 more	`standard`
`imageWidth`	integer	Source image width in pixels — used for credit cost estimation when the input image is referenced via URL. min: 0	-
`imageHeight`	integer	Source image height in pixels — used for credit cost estimation when the input image is referenced via URL. min: 0	-

Use saved characters (@Name)

This model takes no reference images, so @Name of a saved character is refused (400) before anything is charged. A saved location, prop or style with a description is inserted as text. For saved characters, use a model that takes reference images, such as Nano Banana Pro or Seedream 5 for images, or Seedance 2.5 or WAN 3.0 for video.

Example Outputs

Real outputs generated by this model

View Details

3 credits

124.7s

Magnific Upscaler example: a thrilling action sequence of a woman trying to find her favorite candy. The candy wrapper is purple with a pixelate...

View Details

a thrilling action sequence of a woman trying to find her favorite candy. The candy wrapper is purple with a pixelated dragon and reads "Pixel Dojo". The woman says "Gotta have that pixel dojo candy. with over 60 ai tools, it's basically zero calories."

3 credits

63.5s

Code Examples

Creative upscale 4x — copy and paste to get started

bash

curl -X POST "https://pixeldojo.ai/api/v1/models/magnific-upscaler/run" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image": "https://...",
    "mode": "creative",
    "scale_factor": "4x"
  }'

Response Format

Submit Response (202 Accepted)

json

{
  "jobId": "job_abc123...",
  "status": "pending",
  "statusUrl": "https://pixeldojo.ai/api/v1/jobs/job_abc123...",
  "creditCost": 3,
  "creditsRemaining": 95,
  "expiresAt": "2026-10-10T02:51:00Z"
}

Completed Response

json

{
  "jobId": "job_abc123...",
  "status": "completed",
  "output": {
    "images": [
      "https://temp.pixeldojo.ai/pixeldojotemp/1705930123-456789.png"
    ]
  },
  "creditCost": 3,
  "expiresAt": "2026-10-10T02:51:00Z"
}

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