GET
/v1/schemas/fal/image/fal-ai%2Fdreamshaper
Accept:
Request body
15 properties · 1 required · 3 $defs| property | type | description | constraints |
|---|---|---|---|
| prompt* | string | The prompt to use for generating the image. Be as descriptive as possible for best results. | |
| num_inference_steps | integer | The number of inference steps to perform. | 1 ≤ n ≤ 70 · default: 35 |
| image_size | ImageSize | enum | default: {"height":1024,"width":1024} | |
| format | enum | The format of the generated image. | jpeg | png · default: "jpeg" |
| enable_safety_checker | boolean | If set to true, the safety checker will be enabled. | default: true |
| num_images | integer | The number of images to generate. | 1 ≤ n ≤ 8 · default: 1 |
| guidance_scale | number | The 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: 5 |
| request_id | string | An id bound to a request, can be used with response to identify the request itself. | default: "" |
| 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" |
| 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 |
| negative_prompt | string | The negative prompt to use. Use it to address details that you don't want in the image. | default: "(worst quality, low quality, no… |
| loras | LoraWeight[] | The list of LoRA weights to use. | 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 |
| embeddings | Embedding[] | The list of embeddings to use. | default: [] |
| expand_prompt | boolean | If set to true, the prompt will be expanded with additional prompts. | default: false |
Validate a payload
before you spend tokensshell
$ curl -X POST https://modelschemas.com/v1/validate \
-d '{"provider":"fal","endpointId":"fal-ai/dreamshaper","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}