replicate-internal/slackmoji-gif-generator

Public

6 runs

Run replicate-internal/slackmoji-gif-generator 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
gif_file	string		Input animated GIF file to convert to Slack emoji
emoji_name	string		Lowercase, space-free name for the emoji (e.g., 'dancing_cat')
target_size	integer	128 Min: 64 Max: 256	Target size in pixels (width and height)
smart_crop	boolean	True	Use smart cropping to focus on content instead of adding whitespace
upscale	boolean	False	Apply AI upscaling for enhanced quality and sharpness

{
  "type": "object",
  "title": "Input",
  "required": [
    "gif_file",
    "emoji_name"
  ],
  "properties": {
    "upscale": {
      "type": "boolean",
      "title": "Upscale",
      "default": false,
      "x-order": 4,
      "description": "Apply AI upscaling for enhanced quality and sharpness"
    },
    "gif_file": {
      "type": "string",
      "title": "Gif File",
      "format": "uri",
      "x-order": 0,
      "description": "Input animated GIF file to convert to Slack emoji"
    },
    "emoji_name": {
      "type": "string",
      "title": "Emoji Name",
      "x-order": 1,
      "description": "Lowercase, space-free name for the emoji (e.g., 'dancing_cat')"
    },
    "smart_crop": {
      "type": "boolean",
      "title": "Smart Crop",
      "default": true,
      "x-order": 3,
      "description": "Use smart cropping to focus on content instead of adding whitespace"
    },
    "target_size": {
      "type": "integer",
      "title": "Target Size",
      "default": 128,
      "maximum": 256,
      "minimum": 64,
      "x-order": 2,
      "description": "Target size in pixels (width and height)"
    }
  }
}

Output schema

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

Schema

{
  "type": "object",
  "title": "Output",
  "required": [
    "optimized_gif",
    "emoji_name",
    "file_size_kb",
    "dimensions",
    "frame_count",
    "meets_slack_requirements",
    "upscaled",
    "original_dimensions"
  ],
  "properties": {
    "upscaled": {
      "type": "boolean",
      "title": "Upscaled"
    },
    "dimensions": {
      "type": "string",
      "title": "Dimensions"
    },
    "emoji_name": {
      "type": "string",
      "title": "Emoji Name"
    },
    "frame_count": {
      "type": "integer",
      "title": "Frame Count"
    },
    "file_size_kb": {
      "type": "number",
      "title": "File Size Kb"
    },
    "optimized_gif": {
      "type": "string",
      "title": "Optimized Gif",
      "format": "uri"
    },
    "original_dimensions": {
      "type": "string",
      "title": "Original Dimensions"
    },
    "meets_slack_requirements": {
      "type": "boolean",
      "title": "Meets Slack Requirements"
    }
  }
}