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Enhance

Picsart · Image · Image → Image

AI image enhancement with upscale and face enhancement.

Model ID: picsart-enhanceWorkflow: pcp/v1/enhancement
EnhancementImage Required
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Overview

Alongside the unified model APIs, we expose compatibility APIs that take each vendor's original parameters exactly as the vendor defines them — nothing renamed, nothing reshaped on the way through.

That makes them the shortest path onto Picsart if you already work with the vendor directly: the request bodies you've already written keep working as they are. You keep their parameter names and defaults, and you get the vendor's full parameter set rather than the subset that is shared across every model.

The cost is that a request is written for one vendor — switching models later means rewriting it, and results come back in the vendor's own shape. When you'd rather write once and change models freely, use the unified API.

Make a request

Call the workflow with ai.apis.run() in TypeScript, or hit /workflows/{workflow}/execute directly — params is passed through untouched either way.

These endpoints are addressed by workflow name rather than model id: the one in this model's header, since one model runs as one workflow. Authentication is unchanged — your Picsart API key as a bearer token (see Authentication).

ts
import { createClient, ApiRunMode } from '@picsart/ai-sdk';

const ai = createClient({
  apiKey: process.env.PICSART_API_KEY,
  apiUrl: 'https://api.picsart.com',
});

// Calls the 'pcp/v1/enhancement' workflow directly — params are sent as-is.
const { result, usage } = await ai.apis.run('pcp/v1/enhancement', {
  image: "your value here"
}, {
  mode: ApiRunMode.SYNC,
});

console.log(result); // workflow-specific output
console.log(usage?.credits); // credits charged

Parameters

9 parameters, sent inside params. These are the vendor's own names, so they line up one-for-one with the vendor's documentation. Required ones must be supplied; the rest fall back to their defaults.

ParameterTypeRequiredDefaultDetails
image
Full URL of the input image.
stringyes
upscale
Upscaling configuration. Runs with default settings when omitted. Pass { enabled: false } to skip.
objectno
enabled
Enable the upscaling stage.
booleanno
node
Algorithm variant / processing node to use for upscaling.
stringno
target_scale
Output scale multiplier relative to the input (e.g. 2 doubles resolution). Mutually exclusive with target_size, target_height, and target_width.
numberno
target_size
Target size in pixels for the longer edge. Mutually exclusive with target_scale.
numberno
target_height
Target output height in pixels.
numberno
target_width
Target output width in pixels.
numberno
units
Unit system for target dimensions (e.g. "px", "in").
stringno
output_dpi
DPI of the output image; relevant when units is "in".
numberno
resize_before_processing
Downscale the image before running the upscaler to reduce GPU memory usage.
booleanno
smooth_patch_average
Average overlapping tile patches to reduce boundary artifacts.
booleanno
creative_num_steps
Diffusion steps for the generative (creative) upscaling pass (1–32). Higher values improve quality at the cost of speed.
numberno
strength
Denoising strength controlling how much the upscaler alters fine detail (0–1).
numberno
guidance_scale
Classifier-free guidance scale for the diffusion upscaler (0–8).
numberno
masked_latents_scale
Scale applied to masked latent regions during inpainting (0–2).
numberno
creative_strength
Intensity of the generative enhancement pass (0–1).
numberno
creative_use_gan
Use a GAN-based upscaler instead of the diffusion model for the creative pass.
booleanno
srtv_fidelity
Fidelity weight balancing output realism against faithfulness to the input image (0–1).
numberno
face_enhancement
Face-enhancement configuration. Runs with default settings when omitted. Pass { enabled: false } to skip.
objectno
enabled
Enable the face-enhancement stage.
booleanno
face_blending_cbcr
Chroma-channel blending weight between the enhanced and original face (0–1). Higher values apply more colour correction from the restored face.
numberno
antialias
Apply antialiasing when warping the enhanced face back onto the original.
booleanno
face_size_upper_threshold
Maximum face size relative to the image above which face enhancement is skipped.
numberno
num_inference_steps
Number of diffusion inference steps for face restoration (0–1000). Higher values produce finer detail at the cost of speed.
numberno
prompt
Text prompt guiding the face-restoration diffusion model.
stringno
negative_prompt
Negative prompt for the face-restoration diffusion model; describes features to suppress.
stringno
guidance_scale
Classifier-free guidance scale for the face-restoration diffusion model (≥1).
numberno
gfpgan_threshold
GFPGAN detection confidence threshold; faces with a score below this value are skipped.
numberno
diffbir_thresholds
Per-stage detection thresholds. Keys are stage names; values are numeric thresholds or "auto".
objectno
e.g. {"source":20,"target":"auto"}
colour_correction
Colour-correction configuration. Runs with default settings when omitted. Pass { enabled: false } to skip.
objectno
enabled
Enable the colour-correction stage.
booleanno
blending
Blending weight between the colour-corrected and original image (0–1). 1 applies the full correction; 0 leaves the original colours unchanged.
numberno
seed
Random seed for reproducible results. Omit to use a random seed.
numberno
output_format
Output image format. Defaults to the input image format when omitted.
stringno
max_output_area_mp
Maximum output area in megapixels. The image is downscaled before processing if it exceeds this limit.
numberno
options
Options controlling safety checks and drive integration.
objectno
safety_checks
Safety check settings
objectno
enabled
Whether to run content moderation. Defaults to true.
booleanno
drive
Save result to Picsart Drive
objectno
name
File name in Picsart Drive
stringyes
attributes
Custom attributes to attach to the file
objectno
folder
Target folder in Picsart Drive
objectno
model_execution_mode
Execution mode of the underlying diffbir model service. Optional, defaults to sync. Use async for batch executions.
stringno

Response

Over HTTP the output arrives inside a status envelope, at response.result. ai.apis.run() unwraps that envelope for you and resolves to { result, usage } instead. Either way the resultitself is the vendor's own shape.

json
{
  "result": {
    "url": "https://cdn.picsart.com/…/result.jpg",
    "mimeType": "image/jpeg",
    "driveFile": {}
  },
  "usage": {
    "credits": 2
  }
}