ddvinh1/tool-faceswap-video

Public

3 runs

Run ddvinh1/tool-faceswap-video with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field	Type	Default value	Description
source_image	string		Source image (person whose face will be swapped)
target_video	string		Target video (video where faces will be replaced)
mode	None	single	Swap mode: 'single' for one face, 'multi' for all detected faces
cropped_size	integer	224 Min: 224 Max: 1024	Crop size for face detection
is_use_mask	boolean	False	Use face parsing mask for better results (slower)
det_thresh	number	0.6 Min: 0.1 Max: 1	Face detection threshold
processing_mode	None	multi_worker	Processing mode for faster execution
num_workers	integer	4 Min: 1 Max: 8	Number of worker threads (for multi_worker mode)
batch_size	integer	4 Min: 1 Max: 16	Batch size for processing

{
  "type": "object",
  "title": "Input",
  "required": [
    "source_image",
    "target_video"
  ],
  "properties": {
    "mode": {
      "enum": [
        "single",
        "multi"
      ],
      "type": "string",
      "title": "mode",
      "description": "Swap mode: 'single' for one face, 'multi' for all detected faces",
      "default": "single",
      "x-order": 2
    },
    "batch_size": {
      "type": "integer",
      "title": "Batch Size",
      "default": 4,
      "maximum": 16,
      "minimum": 1,
      "x-order": 8,
      "description": "Batch size for processing"
    },
    "det_thresh": {
      "type": "number",
      "title": "Det Thresh",
      "default": 0.6,
      "maximum": 1,
      "minimum": 0.1,
      "x-order": 5,
      "description": "Face detection threshold"
    },
    "is_use_mask": {
      "type": "boolean",
      "title": "Is Use Mask",
      "default": false,
      "x-order": 4,
      "description": "Use face parsing mask for better results (slower)"
    },
    "num_workers": {
      "type": "integer",
      "title": "Num Workers",
      "default": 4,
      "maximum": 8,
      "minimum": 1,
      "x-order": 7,
      "description": "Number of worker threads (for multi_worker mode)"
    },
    "cropped_size": {
      "type": "integer",
      "title": "Cropped Size",
      "default": 224,
      "maximum": 1024,
      "minimum": 224,
      "x-order": 3,
      "description": "Crop size for face detection"
    },
    "source_image": {
      "type": "string",
      "title": "Source Image",
      "format": "uri",
      "x-order": 0,
      "description": "Source image (person whose face will be swapped)"
    },
    "target_video": {
      "type": "string",
      "title": "Target Video",
      "format": "uri",
      "x-order": 1,
      "description": "Target video (video where faces will be replaced)"
    },
    "processing_mode": {
      "enum": [
        "standard",
        "multi_worker",
        "gpu_batch"
      ],
      "type": "string",
      "title": "processing_mode",
      "description": "Processing mode for faster execution",
      "default": "multi_worker",
      "x-order": 6
    }
  }
}

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema

{
  "type": "string",
  "title": "Output",
  "format": "uri"
}