lucataco/next-scene | API reference

LoRA model by lovis93 that generate cinematic image sequences with natural visual progression from frame to frame for Qwen-Image-Edit-2509

Public

104 runs

Playground API Examples README

Run lucataco/next-scene 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
image	string		Image to edit
prompt	string	Next Scene: The camera zooms in on the subject	Text instruction describing the next scene or how to edit the image
lora_scale	number	0.8 Max: 4	Strength applied to the LoRA
aspect_ratio	None	match_input_image	Aspect ratio for the generated image
output_format	None	webp	Format of the output image
output_quality	integer	95 Max: 100	Quality when saving the output image (0-100)
seed	integer		Random seed for reproducibility

{
  "type": "object",
  "title": "Input",
  "required": [
    "image"
  ],
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 6,
      "nullable": true,
      "description": "Random seed for reproducibility"
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 0,
      "description": "Image to edit"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "Next Scene: The camera zooms in on the subject",
      "x-order": 1,
      "description": "Text instruction describing the next scene or how to edit the image"
    },
    "lora_scale": {
      "type": "number",
      "title": "Lora Scale",
      "default": 0.8,
      "maximum": 4,
      "minimum": 0,
      "x-order": 2,
      "description": "Strength applied to the LoRA"
    },
    "aspect_ratio": {
      "enum": [
        "1:1",
        "16:9",
        "9:16",
        "4:3",
        "3:4",
        "match_input_image"
      ],
      "type": "string",
      "title": "aspect_ratio",
      "description": "Aspect ratio for the generated image",
      "default": "match_input_image",
      "x-order": 3
    },
    "output_format": {
      "enum": [
        "webp",
        "jpg",
        "png"
      ],
      "type": "string",
      "title": "output_format",
      "description": "Format of the output image",
      "default": "webp",
      "x-order": 4
    },
    "output_quality": {
      "type": "integer",
      "title": "Output Quality",
      "default": 95,
      "maximum": 100,
      "minimum": 0,
      "x-order": 5,
      "description": "Quality when saving the output image (0-100)"
    }
  }
}

Output schema

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

Schema

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

Example API response

View prediction

['https://replicate.delivery/xezq/sQ6vuhDISMoxDV0HIx71IFwIzcU06FFdjXRgGdMERXxSqOaF/out-0.webp']