GET

/v1/schemas/fal/image/fal-ai%2Ffast-lcm-diffusion%2Finpainting

kind inputactivity imagehash 55f7f271extracted Jul 6, 2026version currentsource upstream spec ↗

Request body

16 properties · 3 required · 1 $defs
propertytypedescriptionconstraints
prompt*stringThe prompt to use for generating the image. Be as descriptive as possible for best results.
image_url*stringThe URL of the image to use as a starting point for the generation.
mask_url*stringThe URL of the mask to use for inpainting.
guidance_scalenumberThe CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you.0 ≤ n ≤ 20 · default: 1.5
image_sizeImageSize | enumThe size of the generated image.default: "square_hd"
num_inference_stepsintegerThe number of inference steps to perform.1 ≤ n ≤ 32 · default: 6
strengthnumberdetermines how much the generated image resembles the initial image0.01 ≤ n ≤ 1 · default: 0.95
enable_safety_checkerbooleanIf set to true, the safety checker will be enabled.default: true
seedinteger The same seed and the same prompt given to the same version of Stable Diffusion will output the same image every time. nullable
num_imagesintegerThe number of images to generate.1 ≤ n ≤ 8 · default: 1
formatenumThe format of the generated image.jpeg | png · default: "jpeg"
expand_promptbooleanIf set to true, the prompt will be expanded with additional prompts.default: false
safety_checker_versionenumThe version of the safety checker to use. v1 is the default CompVis safety checker. v2 uses a custom ViT model.v1 | v2 · default: "v1"
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: true
negative_promptstringThe negative prompt to use.Use it to address details that you don't want in the image. This could be colors, objects, scenery and even the small details (e.g. moustache, blurry, low resolution).default: ""
request_idstringAn id bound to a request, can be used with response to identify the request itself.default: ""

Validate a payload

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