ddvinh1/cel-test | API reference

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Run ddvinh1/cel-test 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
message	string		User message to generate Trump response for
recent_news	string		Recent news context for Trump response
chat_history	string	[]	JSON string of chat history
audio_prompt_path	string		Optional reference audio file to condition the voice
repetition_penalty	number	1.2	Penalty to reduce repetition
min_p	number	0.05	Minimum probability mass for sampling
top_p	number	1	Top-p nucleus sampling
cfg_weight	number	0.5	Classifier-free guidance weight
temperature	number	0.8	Softmax temperature
exaggeration	number	0.5	Controls expressiveness
seed	integer		Random seed for determinism
lipsync_face	string		Image or video for lip-sync (face)
generate_lip_sync	boolean	False	Generate lip-synced video
wav2lip_model	None	wav2lip	Wav2Lip model variant
fps	number	25	FPS for lip-sync video
out_height	integer	480	Output video height
negative_prompt	string		Negative prompt

{
  "type": "object",
  "title": "Input",
  "required": [
    "message"
  ],
  "properties": {
    "fps": {
      "type": "number",
      "title": "Fps",
      "default": 25,
      "x-order": 14,
      "description": "FPS for lip-sync video"
    },
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 10,
      "nullable": true,
      "description": "Random seed for determinism"
    },
    "min_p": {
      "type": "number",
      "title": "Min P",
      "default": 0.05,
      "x-order": 5,
      "description": "Minimum probability mass for sampling"
    },
    "top_p": {
      "type": "number",
      "title": "Top P",
      "default": 1,
      "x-order": 6,
      "description": "Top-p nucleus sampling"
    },
    "message": {
      "type": "string",
      "title": "Message",
      "x-order": 0,
      "description": "User message to generate Trump response for"
    },
    "cfg_weight": {
      "type": "number",
      "title": "Cfg Weight",
      "default": 0.5,
      "x-order": 7,
      "description": "Classifier-free guidance weight"
    },
    "out_height": {
      "type": "integer",
      "title": "Out Height",
      "default": 480,
      "x-order": 15,
      "description": "Output video height"
    },
    "recent_news": {
      "type": "string",
      "title": "Recent News",
      "default": "",
      "x-order": 1,
      "description": "Recent news context for Trump response"
    },
    "temperature": {
      "type": "number",
      "title": "Temperature",
      "default": 0.8,
      "x-order": 8,
      "description": "Softmax temperature"
    },
    "chat_history": {
      "type": "string",
      "title": "Chat History",
      "default": "[]",
      "x-order": 2,
      "description": "JSON string of chat history"
    },
    "exaggeration": {
      "type": "number",
      "title": "Exaggeration",
      "default": 0.5,
      "x-order": 9,
      "description": "Controls expressiveness"
    },
    "lipsync_face": {
      "type": "string",
      "title": "Lipsync Face",
      "format": "uri",
      "x-order": 11,
      "nullable": true,
      "description": "Image or video for lip-sync (face)"
    },
    "wav2lip_model": {
      "enum": [
        "wav2lip",
        "wav2lip_gan"
      ],
      "type": "string",
      "title": "wav2lip_model",
      "description": "Wav2Lip model variant",
      "default": "wav2lip",
      "x-order": 13
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "",
      "x-order": 16,
      "description": "Negative prompt"
    },
    "audio_prompt_path": {
      "type": "string",
      "title": "Audio Prompt Path",
      "format": "uri",
      "x-order": 3,
      "nullable": true,
      "description": "Optional reference audio file to condition the voice"
    },
    "generate_lip_sync": {
      "type": "boolean",
      "title": "Generate Lip Sync",
      "default": false,
      "x-order": 12,
      "description": "Generate lip-synced video"
    },
    "repetition_penalty": {
      "type": "number",
      "title": "Repetition Penalty",
      "default": 1.2,
      "x-order": 4,
      "description": "Penalty to reduce repetition"
    }
  }
}

Output schema

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

Schema

{
  "type": "object",
  "title": "Output",
  "additionalProperties": {
    "anyOf": [
      {
        "type": "string"
      },
      {
        "type": "string",
        "anyOf": [],
        "format": "uri"
      }
    ]
  }
}