andyx1976/qwenunif | API reference

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Run andyx1976/qwenunif 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		Prompt for generated image
enhance_prompt	boolean	False	Append a high-detail suffix to the prompt.
lora_weights	string		Load LoRA weights. Supports local .safetensors paths or ZIPs produced by cog train.
replicate_weights	string		LoRA ZIP generated by cog train (alternate to lora_weights).
lora_scale	number	1	Determines how strongly the loaded LoRA should be applied.
image	string		Optional guide image for img2img.
strength	number	0.9 Max: 1	Strength for img2img pipeline
negative_prompt	string		Negative prompt for generated image
aspect_ratio	None	16:9	Aspect ratio for the generated image
image_size	None	optimize_for_quality	Image size preset (quality = larger, speed = faster).
go_fast	boolean	True	Run faster predictions with aggressive caching.
num_inference_steps	integer	30 Min: 1 Max: 50	Number of denoising steps (1–50).
guidance	number	3 Max: 10	Guidance for generated image (0-10).
seed	integer		Random seed. Leave blank for random.
output_format	None	webp	Format of the output images
output_quality	integer	80 Max: 100	Quality when saving lossy images (0-100).
disable_safety_checker	boolean	False	Disable safety checker (not used).

{
  "type": "object",
  "title": "Input",
  "required": [
    "prompt"
  ],
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 13,
      "nullable": true,
      "description": "Random seed. Leave blank for random."
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 5,
      "nullable": true,
      "description": "Optional guide image for img2img."
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 0,
      "description": "Prompt for generated image"
    },
    "go_fast": {
      "type": "boolean",
      "title": "Go Fast",
      "default": true,
      "x-order": 10,
      "description": "Run faster predictions with aggressive caching."
    },
    "guidance": {
      "type": "number",
      "title": "Guidance",
      "default": 3,
      "maximum": 10,
      "minimum": 0,
      "x-order": 12,
      "description": "Guidance for generated image (0-10)."
    },
    "strength": {
      "type": "number",
      "title": "Strength",
      "default": 0.9,
      "maximum": 1,
      "minimum": 0,
      "x-order": 6,
      "description": "Strength for img2img pipeline"
    },
    "image_size": {
      "enum": [
        "optimize_for_quality",
        "optimize_for_speed"
      ],
      "type": "string",
      "title": "image_size",
      "description": "Image size preset (quality = larger, speed = faster).",
      "default": "optimize_for_quality",
      "x-order": 9
    },
    "lora_scale": {
      "type": "number",
      "title": "Lora Scale",
      "default": 1,
      "x-order": 4,
      "description": "Determines how strongly the loaded LoRA should be applied."
    },
    "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",
      "default": "16:9",
      "x-order": 8
    },
    "lora_weights": {
      "type": "string",
      "title": "Lora Weights",
      "x-order": 2,
      "nullable": true,
      "description": "Load LoRA weights. Supports local .safetensors paths or ZIPs produced by cog train."
    },
    "output_format": {
      "enum": [
        "webp",
        "jpg",
        "png"
      ],
      "type": "string",
      "title": "output_format",
      "description": "Format of the output images",
      "default": "webp",
      "x-order": 14
    },
    "enhance_prompt": {
      "type": "boolean",
      "title": "Enhance Prompt",
      "default": false,
      "x-order": 1,
      "description": "Append a high-detail suffix to the prompt."
    },
    "output_quality": {
      "type": "integer",
      "title": "Output Quality",
      "default": 80,
      "maximum": 100,
      "minimum": 0,
      "x-order": 15,
      "description": "Quality when saving lossy images (0-100)."
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": " ",
      "x-order": 7,
      "description": "Negative prompt for generated image"
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 30,
      "maximum": 50,
      "minimum": 1,
      "x-order": 11,
      "description": "Number of denoising steps (1\u201350)."
    },
    "disable_safety_checker": {
      "type": "boolean",
      "title": "Disable Safety Checker",
      "default": false,
      "x-order": 16,
      "description": "Disable safety checker (not used)."
    }
  }
}

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"
}