GET

/v1/schemas/fal/image/fal-ai/krea-2/turbo/lora

Accept:

kind inputactivity imagehash 8b442aea…extracted Nov 13, 2026version currentsource upstream spec ↗

field	recorded source
schema	Source linked above. upstream-spec Source trace `b53cfdad0462635329ab2eeeecda05ac9891de8a870f6f0935f2a17b1c946ed8` { "fetchedAt": 1794546001, "extractorVersion": "2", "verifiedAt": null }

Request body

10 properties · 1 required · 2 $defs

property	type	description	constraints
prompt*	string	Base text description of the image to generate.	length ≥ 1 · length ≤ 5000
enable_safety_checker	boolean	If true, the output safety checker is enabled. Disabling it requires account authorization; unauthorized requests are always checked, and images flagged as unsafe are returned as black images.	default: true
output_format	enum	The format of the generated image. Default value: "png".	jpeg \| png · default: "png"
image_size	ImageSize \| enum	The size of the generated image.	default: "square_hd"
seed	integer	Random seed for reproducible generation. Image i uses `seed + i`.	nullable
enable_prompt_expansion	boolean	If true, the prompt is expanded with an LLM into a more detailed image-generation prompt for higher quality results. On failure, the original prompt is used unchanged.	default: false
acceleration	enum	The acceleration level to use for the image generation.	none \| regular · default: "none"
sync_mode	boolean	If `True`, the media will be returned as a data URI and the output data won't be available in the request history.	default: false
loras	LoRAInput[]	List of LoRA weights to apply (maximum 3).	items ≤ 3 · default: []
num_images	integer	The number of images to generate.	1 ≤ n ≤ 4 · default: 1

Types

2 $defs

ImageSizeobject

width	integer	The width of the generated image.	0 < n ≤ 14142 · default: 512
height	integer	The height of the generated image.	0 < n ≤ 14142 · default: 512

LoRAInputobject

scale	number	Scale factor for LoRA application (0.0 to 4.0).	0 ≤ n ≤ 4 · default: 1
path*	string	URL or HuggingFace repo ID (owner/repo) of the LoRA weights.

Validate a payload

before you spend tokens

shell

$ curl -X POST https://modelschemas.com/v1/validate \
    -d '{"provider":"fal","endpointId":"fal-ai/krea-2/turbo/lora","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}