Playground v2.5

{
  "model_id": "fal-ai/playground-v25",
  "prompt": "Masterpiece, ultra detailed fantasy illustration, wide angle cinematic shot of a tiny clockmaker owl forging enchanted stardust compasses inside a gigantic steampunk observatory workshop, glowing blueprints floating in the air, golden gears rotating on the walls, magical sparks and holographic constellations surrounding the owl, intricate brass machinery, warm amber and teal lighting, whimsical atmosphere, highly detailed textures, volumetric light rays, dreamy fantasy realism, vibrant colors, depth of field, award-winning digital art, fantastical laboratory environment, immersive composition"
}

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://www.artemotion.ai/api/v1/models?id=fal-ai%2Fplayground-v25",
  "title": "Playground v2.5 generation request",
  "description": "Request body accepted by POST /api/v1/generate for fal-ai/playground-v25.",
  "type": "object",
  "properties": {
    "model_id": {
      "type": "string",
      "const": "fal-ai/playground-v25",
      "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"
    },
    "format": {
      "title": "Format",
      "description": "The format of the generated image.",
      "default": "jpeg",
      "type": "string",
      "enum": [
        "jpeg",
        "png"
      ]
    },
    "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"
    },
    "negative_prompt": {
      "title": "Negative Prompt",
      "description": "The 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 deta",
      "default": "",
      "type": "string"
    },
    "guidance_scale": {
      "title": "Guidance Scale",
      "description": "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",
      "default": 3,
      "type": "number",
      "minimum": 0,
      "maximum": 20,
      "multipleOf": 0.1
    },
    "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"
      ]
    },
    "num_inference_steps": {
      "title": "Num Inference Steps",
      "description": "The number of inference steps to perform.",
      "default": 25,
      "type": "number",
      "minimum": 1,
      "maximum": 50,
      "multipleOf": 1
    },
    "expand_prompt": {
      "title": "Expand Prompt",
      "description": "If set to true, the prompt will be expanded with additional prompts.",
      "default": false,
      "type": "boolean"
    },
    "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"
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    },
    "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"
      ]
    },
    "num_images": {
      "type": "integer",
      "minimum": 1,
      "maximum": 4
    }
  },
  "required": [
    "model_id",
    "prompt"
  ],
  "additionalProperties": false
}