{
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    "title": "Runware API - Topaz Labs Wonder 4",
    "summary": "All-in-one generative image enhancement that restores, denoises, and upscales in a single pass",
    "description": "Wonder 4 is Topaz Labs' all-purpose generative model for image enhancement and upscaling. It treats each region of an image separately, combining denoising, deblurring, compression artifact removal, face recovery, and upscaling in one pass with no settings to tune. It suits photo restoration, cleanup of degraded or compressed images, and enhancement at the original size or enlarged up to six times, with output up to 256 megapixels.",
    "version": "1.0.0",
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    "x-air-id": "topazlabs:wonder@4",
    "x-status": "live",
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      "name": "Topaz Labs",
      "logo": "https://assets.runware.ai/311ade9c-d1e4-4e33-b372-00b62fe495d7.png"
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    "x-released-at": "2026-11-03T00:00:00Z",
    "x-cover-image": "https://assets.runware.ai/covers/topazlabs-wonder-4.jpg",
    "x-examples": "https://runware.ai/docs/models/topazlabs-wonder-4/examples.json",
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            "description": "Optional session UUID to resume a previous connection and receive any buffered results.",
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              "type": "string",
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              "description": "Webhook URL that receives JSON responses via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.",
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              "title": "Include Cost",
              "description": "Include task cost in the response.",
              "type": "boolean"
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            "routing": {
              "title": "Routing",
              "description": "Model router options. Only read when `model` is `auto`, and never sent to the model.",
              "type": "object",
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                  "description": "Models the router may choose from. Nothing outside this list is considered, so a request none of them can serve is refused.",
                  "type": "array",
                  "minItems": 2,
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                "preferences": {
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                  "description": "Relative importance of each dimension when models are compared. Weights, not thresholds.",
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                      "description": "Importance of one dimension. `0` leaves it out of the decision.",
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                      "minimum": 0,
                      "maximum": 5
                    },
                    "speed": {
                      "title": "Weight",
                      "description": "Importance of one dimension. `0` leaves it out of the decision.",
                      "type": "integer",
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                      "minimum": 0,
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                  "additionalProperties": false
                },
                "maxPrice": {
                  "title": "Max Price",
                  "description": "Upper bound on what this request may cost, in USD. A model whose cost cannot be bounded is not chosen.",
                  "type": "number",
                  "minimum": 0
                },
                "requirements": {
                  "title": "Requirements",
                  "description": "Conditions the result has to meet, in plain words, such as a style or a feature. A model that cannot meet them is not chosen. Output size is set with width and height rather than described here.",
                  "type": "string",
                  "maxLength": 3000
                }
              },
              "not": {
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                  "excludedModels"
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              },
              "additionalProperties": false
            },
            "uploadEndpoint": {
              "title": "Upload Endpoint",
              "description": "Specifies a URL where the generated content will be automatically uploaded using the HTTP PUT method. The raw binary data of the media file is sent directly as the request body. For secure uploads to cloud storage, use presigned URLs that include temporary authentication credentials.\n\n**Common use cases:**\n\n- **Cloud storage**: Upload directly to S3 buckets, Google Cloud Storage, or Azure Blob Storage using presigned URLs.\n- **CDN integration**: Upload to content delivery networks for immediate distribution.\n\n```text\n// S3 presigned URL for secure upload\nhttps://your-bucket.s3.amazonaws.com/generated/content.mp4?X-Amz-Signature=abc123&X-Amz-Expires=3600\n\n// Google Cloud Storage presigned URL\nhttps://storage.googleapis.com/your-bucket/content.jpg?X-Goog-Signature=xyz789\n\n// Custom storage endpoint\nhttps://storage.example.com/uploads/generated-image.jpg\n```\n\nThe content data will be sent as the request body to the specified URL when generation is complete.\n\n[Read full documentation](https://runware.ai/docs/models/topazlabs-wonder-4#uploadEndpoint)",
              "type": "string",
              "format": "uri"
            },
            "ttl": {
              "title": "TTL",
              "description": "Time-to-live (TTL) in seconds for generated content. Only applies when `outputType` is `URL`.",
              "type": "integer",
              "minimum": 60
            },
            "outputQuality": {
              "title": "Output Quality",
              "description": "Compression quality of the output. Higher values preserve quality but increase file size.",
              "type": "integer",
              "minimum": 20,
              "maximum": 99,
              "default": 95
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              "title": "Output Type",
              "description": "Image output type.",
              "type": "string",
              "enum": [
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                "base64Data",
                "dataURI"
              ],
              "default": "URL"
            },
            "outputFormat": {
              "title": "Output Format",
              "description": "Specifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.\n\n- \\`JPG\\`: Best for photorealistic images with smaller file sizes (no transparency).\n- \\`PNG\\`: Lossless compression, supports high quality and transparency (alpha channel).\n- \\`WEBP\\`: Modern format providing superior compression and transparency support.\n- \\`MP4\\`: Widely supported video container (H.264), recommended for general use.\n- \\`WEBM\\`: Optimized for web delivery.\n- \\`MOV\\`: QuickTime format, common in professional workflows (Apple ecosystem).\n- \\`GIF\\`: Animated image format (no audio), suitable for short loops or previews.\n- \\`MP3\\`: Compressed audio, smaller file size.\n- \\`WAV\\`: Uncompressed, high-quality audio.\n- \\`FLAC\\`: Lossless compression.\n- \\`OGG\\`: Open-source compressed audio format (Vorbis codec).\n- \\`SVG\\`: Scalable Vector Graphics.\n- \\`TIFF\\`: High-quality output supporting layers.\n- \\`GLB\\`: Binary glTF format for 3D models, including geometry, textures, and PBR materials.\n\n> [!NOTE]\n> \\*\\*Transparency\\*\\*: If you are using features like background removal or LayerDiffuse that require transparency, you must select a format that supports an alpha channel (e.g., \\`PNG\\`, \\`WEBP\\`, \\`TIFF\\`). \\`JPG\\` does not support transparency.\n\n[Read full documentation](https://runware.ai/docs/models/topazlabs-wonder-4#outputFormat)",
              "type": "string",
              "enum": [
                "JPG",
                "PNG",
                "WEBP"
              ],
              "default": "JPG"
            },
            "deliveryMethod": {
              "title": "Delivery Method",
              "description": "Determines how the API delivers task results.",
              "type": "string",
              "oneOf": [
                {
                  "const": "sync",
                  "description": "Returns results directly in the API response. Over HTTP, a task still running after 120 seconds continues as an async task and comes back with status 'processing'. Poll for its results using getResponse."
                },
                {
                  "const": "async",
                  "description": "Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse."
                }
              ],
              "default": "sync"
            },
            "inputs": {
              "title": "Inputs",
              "description": "Input assets for the task.",
              "type": "object",
              "properties": {
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                  "title": "Image",
                  "description": "Image input (UUID, URL, Data URI, or Base64).",
                  "type": "string",
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                    {
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                      "pattern": "^data:image\\/[a-zA-Z]+;base64,[a-zA-Z0-9+/=]+$"
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        "description": "You must always POST an array of task objects."
      },
      "ResponseBody": {
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            "items": {
              "title": "Upscale Image Response",
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                  "description": "Identifier for the type of task this response belongs to.",
                  "type": "string",
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                  "title": "Task UUID",
                  "description": "UUID v4 identifier echoed from the original request, used to match async responses to their tasks.",
                  "type": "string",
                  "format": "uuid"
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                "cost": {
                  "title": "Cost",
                  "description": "Task cost in USD. Present when `includeCost` is set to `true` in the request.",
                  "type": "number"
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                  "description": "UUID of the output image.",
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                "imageURL": {
                  "title": "Image URL",
                  "description": "URL of the output image.",
                  "type": "string",
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                "imageBase64Data": {
                  "title": "Image Base64 Data",
                  "description": "Base64-encoded image data.",
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