automorphic-ai/storyboard-qwen-1

Public

4 runs

Run automorphic-ai/storyboard-qwen-1 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
prompt	string		The main prompt for image generation
enhance_prompt	boolean	False	Automatically enhance the prompt for better image generation
negative_prompt	string		Things you do not want to see in your image
aspect_ratio	None	16:9	Aspect ratio for the generated image. Ignored if width and height are both provided.
image_size	None	optimize_for_quality	Image size preset (quality = larger, speed = faster). Ignored if width and height are both provided.
width	integer	Min: 512 Max: 2048	Custom width in pixels. Provide both width and height for custom dimensions (overrides aspect_ratio/image_size).
height	integer	Min: 512 Max: 2048	Custom height in pixels. Provide both width and height for custom dimensions (overrides aspect_ratio/image_size).
go_fast	boolean	False	Use LCM-LoRA to accelerate image generation (trades quality for 8x speed)
num_inference_steps	integer	50 Max: 50	Number of denoising steps. More steps = higher quality. Defaults to 4 if go_fast, else 28.
guidance	number	4 Max: 10	Guidance scale for image generation. Defaults to 1 if go_fast, else 3.5.
seed	integer		Set a seed for reproducibility. Random by default.
output_format	None	webp	Format of the output images
output_quality	integer	80 Max: 100	Quality when saving images (0-100, higher is better, 100 = lossless)
replicate_weights	string		Path to LoRA weights file. Leave blank to use base model.
lora_scale	number	1 Max: 3	Scale for LoRA weights (0 = base model, 1 = full LoRA)

{
  "type": "object",
  "title": "Input",
  "required": [
    "prompt"
  ],
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 10,
      "description": "Set a seed for reproducibility. Random by default."
    },
    "width": {
      "type": "integer",
      "title": "Width",
      "maximum": 2048,
      "minimum": 512,
      "x-order": 5,
      "description": "Custom width in pixels. Provide both width and height for custom dimensions (overrides aspect_ratio/image_size)."
    },
    "height": {
      "type": "integer",
      "title": "Height",
      "maximum": 2048,
      "minimum": 512,
      "x-order": 6,
      "description": "Custom height in pixels. Provide both width and height for custom dimensions (overrides aspect_ratio/image_size)."
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 0,
      "description": "The main prompt for image generation"
    },
    "go_fast": {
      "type": "boolean",
      "title": "Go Fast",
      "default": false,
      "x-order": 7,
      "description": "Use LCM-LoRA to accelerate image generation (trades quality for 8x speed)"
    },
    "guidance": {
      "type": "number",
      "title": "Guidance",
      "default": 4,
      "maximum": 10,
      "minimum": 0,
      "x-order": 9,
      "description": "Guidance scale for image generation. Defaults to 1 if go_fast, else 3.5."
    },
    "image_size": {
      "enum": [
        "optimize_for_quality",
        "optimize_for_speed"
      ],
      "type": "string",
      "title": "image_size",
      "description": "Image size preset (quality = larger, speed = faster). Ignored if width and height are both provided.",
      "default": "optimize_for_quality",
      "x-order": 4
    },
    "lora_scale": {
      "type": "number",
      "title": "Lora Scale",
      "default": 1,
      "maximum": 3,
      "minimum": 0,
      "x-order": 14,
      "description": "Scale for LoRA weights (0 = base model, 1 = full LoRA)"
    },
    "aspect_ratio": {
      "enum": [
        "1:1",
        "16:9",
        "9:16",
        "4:3",
        "3:4",
        "3:2",
        "2:3"
      ],
      "type": "string",
      "title": "aspect_ratio",
      "description": "Aspect ratio for the generated image. Ignored if width and height are both provided.",
      "default": "16:9",
      "x-order": 3
    },
    "output_format": {
      "enum": [
        "webp",
        "jpg",
        "png"
      ],
      "type": "string",
      "title": "output_format",
      "description": "Format of the output images",
      "default": "webp",
      "x-order": 11
    },
    "enhance_prompt": {
      "type": "boolean",
      "title": "Enhance Prompt",
      "default": false,
      "x-order": 1,
      "description": "Automatically enhance the prompt for better image generation"
    },
    "output_quality": {
      "type": "integer",
      "title": "Output Quality",
      "default": 80,
      "maximum": 100,
      "minimum": 0,
      "x-order": 12,
      "description": "Quality when saving images (0-100, higher is better, 100 = lossless)"
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "",
      "x-order": 2,
      "description": "Things you do not want to see in your image"
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 50,
      "maximum": 50,
      "minimum": 0,
      "x-order": 8,
      "description": "Number of denoising steps. More steps = higher quality. Defaults to 4 if go_fast, else 28."
    }
  }
}

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"
}