GET

/v1/schemas/fal/image/fal-ai/flux-pro/v1/fill-finetuned

Accept:

kind inputactivity imagehash 26fa7f8b…extracted Jul 6, 2026version currentsource upstream spec ↗

field	recorded source
schema	Source linked above. Source trace `b6d2c733a8a6552d7e35733a0b90ebdc02240ae8b2d2e7a94608551240e3c46f` { "fetchedAt": 1783331098, "extractorVersion": "1", "verifiedAt": null }

Request body

11 properties · 5 required · 0 $defs

property	type	description	constraints
finetune_id*	string	References your specific model
finetune_strength*	number	Controls finetune influence. Increase this value if your target concept isn't showing up strongly enough. The optimal setting depends on your finetune and prompt	0 ≤ n ≤ 2
mask_url*	string	The mask URL to inpaint the image. Needs to match the dimensions of the input image.
image_url*	string	The image URL to generate an image from. Needs to match the dimensions of the mask.
prompt*	string	The prompt to fill the masked part of the image.
num_images	integer	The number of images to generate.	1 ≤ n ≤ 4 · default: 1
output_format	enum	The format of the generated image.	jpeg \| png · default: "jpeg"
safety_tolerance	enum	The safety tolerance level for the generated image. 1 being the most strict and 5 being the most permissive.	1 \| 2 \| 3 \| 4 \| 5 \| 6 · default: "2"
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
seed	integer	The same seed and the same prompt given to the same version of the model will output the same image every time.	nullable
enhance_prompt	boolean	Whether to enhance the prompt for better results.	default: false

Validate a payload

before you spend tokens

shell

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