GET

/v1/schemas/fal/image/fal-ai%2Fflux-lora-fill

kind inputactivity imagehash 82725e91extracted Jul 6, 2026version currentsource upstream spec ↗

Request body

16 properties · 2 required · 3 $defs
propertytypedescriptionconstraints
mask_url*stringThe mask to area to Inpaint in.
image_url*stringURL of image to use for fill operation
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 the model will output the same image every time. nullable
image_sizeImageSize | enumThe size of the generated image.
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
fill_imageImageFillInputUse an image fill input to fill in particular images into the masked area.nullable
num_inference_stepsintegerThe number of inference steps to perform.1 ≤ n ≤ 50 · default: 28
output_formatenumThe format of the generated image.jpeg | png · default: "jpeg"
promptstringThe prompt to generate an image from.default: ""
resize_to_originalbooleanResizes the image back to the original size. Use when you wish to preserve the exact image size as the originally provided image.default: false
lorasLoraWeight[]The LoRAs to use for the image generation. You can use any number of LoRAs and they will be merged together to generate the final image.default: []
accelerationenumAcceleration level for image generation. 'regular' balances speed and quality.none | regular · default: "none"
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.28 ≤ n ≤ 35 · default: 30
num_imagesintegerThe number of images to generate. This is always set to 1 for streaming output.1 ≤ n ≤ 4 · default: 1
paste_backbooleanSpecifies whether to paste-back the original image onto to the non-inpainted areas of the outputdefault: true

Validate a payload

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