GET

/v1/schemas/fal/image/fal-ai/stable-diffusion-v15

kind inputactivity imagehash 8760fcf0…extracted Oct 29, 2026version currentsource upstream spec ↗
fieldrecorded source
schemaSource linked above.

upstream-spec

Source trace
fbd6bd17d35523e5e2f550ebe2e6a07c5db0d9ed62578ce92084f92478fcba86
{
  "fetchedAt": 1793250001,
  "extractorVersion": "1",
  "verifiedAt": null
}

Request body

15 properties · 1 required · 3 $defs
propertytypedescriptionconstraints
prompt*stringThe prompt to use for generating the image. Be as descriptive as possible for best results.
formatenumThe format of the generated image.jpeg | png · default: "jpeg"
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
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
num_inference_stepsintegerThe number of inference steps to perform.1 ≤ n ≤ 50 · default: 25
image_sizeImageSize | enumThe size of the generated image.default: "square"
enable_safety_checkerbooleanIf set to true, the safety checker will be enabled.default: true
request_idstringAn id bound to a request, can be used with response to identify the request itself.default: ""
enable_prompt_expansionbooleanIf set to true, the prompt will be expanded with additional prompts.default: false
lorasLoraWeight[]The list of LoRA weights to use.default: []
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: ""
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: 7.5
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"
embeddingsEmbedding[]The list of embeddings to use.default: []

Types

3 $defs

Embeddingobject

tokensstring[] The list of tokens to use for the embedding. When omitted, tokens are generated as <s0>, <s1>, ... to match the number of vectors in the embedding file. nullable
path*stringURL or the path to the embedding weights.

ImageSizeobject

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

LoraWeightobject

scalenumberThe scale of the LoRA weight. This is used to scale the LoRA weight before merging it with the base model.0 ≤ n ≤ 1 · default: 1
path*stringURL or path to a LoRA safetensors file. Or HF model name that resolves to safetensors weights.
forcebooleanIf set to true, the embedding will be forced to be used.default: false

Validate a payload

before you spend tokens
shell
$ curl -X POST https://modelschemas.com/v1/validate \
    -d '{"provider":"fal","endpointId":"fal-ai/stable-diffusion-v15","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}