GET

/v1/schemas/fal/image/fal-ai/stable-diffusion-v35-large

kind inputactivity imagehash 970d6565…extracted Nov 12, 2026version currentsource upstream spec ↗
fieldrecorded source
schemaSource linked above.

upstream-spec

Source trace
16a240818798149f15e21d32a82b88acd71400a4c00313d38ddc3b6c932cbc9a
{
  "fetchedAt": 1794459602,
  "extractorVersion": "2",
  "verifiedAt": null
}

Request body

13 properties · 1 required · 4 $defs
propertytypedescriptionconstraints
prompt*stringThe prompt to generate an image from.
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: 3.5
output_formatenumThe format of the generated image.jpeg | png · default: "jpeg"
controlnetControlNetControlNet for inference.
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
num_inference_stepsintegerThe number of inference steps to perform.1 ≤ n ≤ 50 · default: 28
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: []
image_sizeImageSize | enumThe size of the generated image. Defaults to landscape_4_3 if no controlnet has been passed, otherwise defaults to the size of the controlnet conditioning image.nullable
ip_adapterIPAdapter IP-Adapter to use during inference. nullable
num_imagesintegerThe number of images to generate.1 ≤ n ≤ 4 · default: 1
seedinteger The same seed and the same prompt given to the same version of the model will output the same image every time. nullable
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: ""
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

Types

4 $defs

ControlNetobject

conditioning_scalenumberThe scale of the control net weight. This is used to scale the control net weight before merging it with the base model.0 ≤ n ≤ 2 · default: 1
start_percentagenumberThe percentage of the image to start applying the controlnet in terms of the total timesteps.0 ≤ n ≤ 1 · default: 0
end_percentagenumberThe percentage of the image to end applying the controlnet in terms of the total timesteps.0 ≤ n ≤ 1 · default: 1
path*stringURL or the path to the control net weights.
control_image_url*stringURL of the image to be used as the control image.

ImageSizeobject

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

IPAdapterobject

weight_namestringExact file containing content-valid safetensors IP-Adapter weights. Pickle .bin adapters require safe offline conversion to safetensors.nullable
scale*numberScale for ip adapter.
mask_thresholdnumberThreshold for mask.0.01 ≤ n ≤ 0.99 · default: 0.5
subfolderstringSubfolder in which the ip_adapter weights existnullable
path*stringHTTPS URL or Hugging Face repository for content-valid safetensors IP-Adapter weights. Convert .bin adapters to safetensors offline before uploading.
image_url*stringURL of Image for IP-Adapter conditioning.
image_encoder_weight_namestringDeprecated: custom image encoder files are not supported.nullable
image_encoder_subfolderstringDeprecated: custom image encoder files are not supported.nullable
image_encoder_path*stringHugging Face repository of the IP-Adapter image encoder. Only 'google/siglip-so400m-patch14-384' is supported.
mask_image_urlstringURL of the mask for the control image.nullable

LoraWeightobject

scalenumberThe scale of the LoRA weight. This is used to scale the LoRA weight before merging it with the base model.0 ≤ n ≤ 4 · default: 1
path*stringURL or the path to 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/stable-diffusion-v35-large","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}