GET

/v1/schemas/fal/image/fal-ai/z-image/turbo/lora

kind inputactivity imagehash 74c1abea…extracted Aug 10, 2026version currentsource upstream spec ↗
fieldrecorded source
schemaSource linked above.
Source trace
27d43938242f54df11734b76ac721af67730953a19c1c1b8aeaa8e57f4867bf1
{
  "fetchedAt": 1786338105,
  "extractorVersion": "1",
  "verifiedAt": null
}

Request body

11 properties · 1 required · 2 $defs
propertytypedescriptionconstraints
prompt*stringThe prompt to generate an image from.
seedinteger The same seed and the same prompt given to the same version of the model will output the same image every time. nullable
sync_modebooleanIf `True`, the media will be returned as a data URI and the output data won't be available in the request history.default: false
accelerationenumThe acceleration level to use.none | regular | high · default: "regular"
enable_safety_checkerbooleanIf set to true, the safety checker will be enabled. Disabling it requires account authorization; unauthorized requests are always checked, and images flagged as unsafe are returned as black images.default: true
lorasLoRAInput[]List of LoRA weights to apply (maximum 3).default: []
image_sizeImageSize | enumThe size of the generated image.default: "landscape_4_3"
num_inference_stepsintegerThe number of inference steps to perform.1 ≤ n ≤ 8 · default: 8
enable_prompt_expansionbooleanWhether to enable prompt expansion. Note: this will increase the price by 0.0025 credits per request.default: false
num_imagesintegerThe number of images to generate.1 ≤ n ≤ 4 · default: 1
output_formatenumThe format of the generated image.jpeg | png | webp · default: "png"

Types

2 $defs

ImageSizeobject

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

LoRAInputobject

LoRA weight configuration.

path*stringURL, HuggingFace repo ID (owner/repo) to lora weights.
scalenumberScale factor for LoRA application (0.0 to 4.0).0 ≤ n ≤ 4 · default: 1

Validate a payload

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