Image generation

66 image models spanning text-to-image, image editing, inpainting, style transfer, background tools, upscaling, and vector/SVG output.

Quick start

bash

gen-ai generate -m flux-2-pro -p "studio shot of a ceramic cup, soft light" --ar 4:3

json

{ "name": "picsart_generate",
  "arguments": { "model": "flux-2-pro", "prompt": "studio shot of a ceramic cup", "aspectRatio": "4:3" } }

Provider	Models	Highlights
Google	Nano Banana Pro, Nano Banana 2, Nano Banana	Top-tier generation + natural-language editing, up to 4K
Flux	Flux 2 Pro / Max / Flex, Flux Kontext	Crisp, controllable; reference-guided editing
OpenAI	GPT Image 2.5 Flare / Sunburst, GPT Image 2, GPT Image 1.5	Strong text rendering & instruction following
Recraft	Recraft V4.1 / V4 families incl. V4 Styles (24)	True vector / SVG output; style-reference generation
Ideogram	P-Image, Ideogram 4.0, v3, Character	Best-in-class typography
Seedream	Seedream 5.0 Lite, 4.5	High-detail photoreal
Qwen	Qwen 3.0 Pro, Qwen 2 Pro	Generation + reference-guided editing
Luma	UNI-1, UNI-1 Max	Fast creative generation
Grok	Grok Imagine 2.0, Imagine, Imagine Quality	Fast stylised generation
Hunyuan	Hunyuan V3	—
Meta	Muse Image 1.0	—
Picsart	SANA-Sprint, Image Edit, Makeup, Change/Remove BG, Enhance	Picsart-native editing tools
Topaz	Topaz Image Upscale	Upscaling & restoration

Some tasks have dedicated, model-agnostic commands/tools that auto-pick a fitting model:

bash

gen-ai remove-bg ./photo.jpg
gen-ai change-bg ./photo.jpg -p "a sunny beach"
gen-ai enhance ./photo.jpg
gen-ai vectorize ./logo.png

json

{ "name": "picsart_remove_bg", "arguments": { "imageUrls": ["https://example.com/photo.jpg"] } }

Param	CLI flag	Notes
`prompt`	`-p`	Required
`aspectRatio`	`--ar`	Model-dependent set (e.g. `1:1`, `16:9`, `4:3`)
`resolution`	`-r`	e.g. `1K`, `2K`, `4K` (model-dependent)
`count`	`-n`	Number of outputs
`imageUrls`	`-i`	Reference / input images for editing & i2i

Exact options vary per model — check gen-ai models info <id> or picsart_model_params.