Fast Lightning SDXL

{
  "model_id": "fal-ai/fast-lightning-sdxl",
  "prompt": "A majestic white tiger standing on top of a frozen waterfall during a snowstorm, piercing blue eyes, icy particles flying through the air, dramatic fantasy realism, ultra detailed fur and environment, cinematic composition"
}

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://www.artemotion.ai/api/v1/models?id=fal-ai%2Ffast-lightning-sdxl",
  "title": "Fast Lightning SDXL generation request",
  "description": "Request body accepted by POST /api/v1/generate for fal-ai/fast-lightning-sdxl.",
  "type": "object",
  "properties": {
    "model_id": {
      "type": "string",
      "const": "fal-ai/fast-lightning-sdxl",
      "description": "ArtEmotion model identifier."
    },
    "extra": {
      "type": "object",
      "additionalProperties": true,
      "description": "Model-specific settings may also be nested here."
    },
    "max_credits": {
      "type": "number",
      "minimum": 1,
      "description": "Reject before submission if the estimated list price exceeds this cap."
    },
    "webhook_url": {
      "type": "string",
      "format": "uri",
      "maxLength": 2048
    },
    "webhook_secret": {
      "type": "string",
      "maxLength": 512
    },
    "folder_id": {
      "type": "string"
    },
    "prompt": {
      "type": "string"
    },
    "num_inference_steps": {
      "title": "Num Inference Steps",
      "description": "The number of inference steps to perform.",
      "default": "4",
      "type": "number",
      "enum": [
        1,
        2,
        4,
        8
      ]
    },
    "expand_prompt": {
      "title": "Expand Prompt",
      "description": "If set to true, the prompt will be expanded with additional prompts.",
      "default": false,
      "type": "boolean"
    },
    "seed": {
      "title": "Seed",
      "description": "The same seed and the same prompt given to the same version of Stable Diffusion will output the same image every time.",
      "type": "integer"
    },
    "safety_checker_version": {
      "title": "Safety Checker Version",
      "description": "The version of the safety checker to use. v1 is the default CompVis safety checker. v2 uses a custom ViT model.",
      "default": "v1",
      "type": "string",
      "enum": [
        "v1",
        "v2"
      ]
    },
    "format": {
      "title": "Format",
      "description": "The format of the generated image.",
      "default": "jpeg",
      "type": "string",
      "enum": [
        "jpeg",
        "png"
      ]
    },
    "enable_safety_checker": {
      "title": "Enable Safety Checker",
      "description": "If set to true, the safety checker will be enabled.",
      "default": true,
      "type": "boolean"
    },
    "embedding_path": {
      "title": "Embedding Path",
      "description": "URL or Hugging Face path to textual-inversion embedding weights.",
      "type": "string"
    },
    "embedding_tokens": {
      "title": "Embedding Tokens",
      "description": "Tokens that trigger the embedding when used in your prompt.",
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "embedding_path_2": {
      "title": "Embedding Path 2",
      "description": "URL or Hugging Face path to a second embedding.",
      "type": "string"
    },
    "embedding_tokens_2": {
      "title": "Embedding Tokens 2",
      "description": "Tokens for the second embedding.",
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "embedding_path_3": {
      "title": "Embedding Path 3",
      "description": "URL or Hugging Face path to a third embedding.",
      "type": "string"
    },
    "embedding_tokens_3": {
      "title": "Embedding Tokens 3",
      "description": "Tokens for the third embedding.",
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "aspect_ratio": {
      "type": "string",
      "enum": [
        "1:1",
        "16:9",
        "9:16",
        "4:3",
        "3:4",
        "Custom"
      ]
    },
    "resolution": {
      "type": "string",
      "enum": [
        "1024"
      ]
    },
    "output_format": {
      "type": "string",
      "enum": [
        "png",
        "jpeg"
      ]
    },
    "num_images": {
      "type": "integer",
      "minimum": 1,
      "maximum": 4
    }
  },
  "required": [
    "model_id",
    "prompt"
  ],
  "additionalProperties": false
}