GET
/v1/schemas/fal/image/fal-ai/fast-lightning-sdxl/inpainting
Accept:
| field | recorded source |
|---|---|
| schema | Source linked above. upstream-spec Source tracecc573a573e1112774d9ff2beacdcbe045770a8c1338fc56f712525306e3ee192{
"fetchedAt": 1793250001,
"extractorVersion": "1",
"verifiedAt": null
} |
Request body
15 properties · 3 required · 2 $defs| property | type | description | constraints |
|---|---|---|---|
| mask_url* | string | The URL of the mask to use for inpainting. | |
| prompt* | string | The prompt to use for generating the image. Be as descriptive as possible for best results. | |
| image_url* | string | The URL of the image to use as a starting point for the generation. | |
| image_size | ImageSize | enum | The size of the generated image. | default: "square_hd" |
| embeddings | Embedding[] | The list of embeddings to use. | default: [] |
| num_inference_steps | enum | The number of inference steps to perform. | 1 | 2 | 4 | 8 · default: 4 |
| 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 |
| format | enum | The format of the generated image. | jpeg | png · default: "jpeg" |
| enable_prompt_expansion | boolean | If set to true, the prompt will be expanded with additional prompts. | default: false |
| enable_safety_checker | boolean | If set to true, the safety checker will be enabled. | default: true |
| strength | number | determines how much the generated image resembles the initial image | 0.01 ≤ n ≤ 1 · default: 0.95 |
| num_images | integer | The number of images to generate. | 1 ≤ n ≤ 8 · default: 1 |
| request_id | string | An id bound to a request, can be used with response to identify the request itself. | default: "" |
| seed | integer | The same seed and the same prompt given to the same version of Stable Diffusion will output the same image every time. | nullable |
| safety_checker_version | enum | The version of the safety checker to use. v1 is the default CompVis safety checker. v2 uses a custom ViT model. | v1 | v2 · default: "v1" |
Types
2 $defsEmbeddingobject
| path* | string | URL or the path to the embedding weights. | |
| tokens | string[] | 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 |
ImageSizeobject
| width | integer | The width of the generated image. | 0 < n ≤ 14142 · default: 512 |
| height | integer | The height of the generated image. | 0 < n ≤ 14142 · default: 512 |
Validate a payload
before you spend tokensshell
$ curl -X POST https://modelschemas.com/v1/validate \
-d '{"provider":"fal","endpointId":"fal-ai/fast-lightning-sdxl/inpainting","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}