enhance-replicate/flix2.2.8

Public

8 runs

Run enhance-replicate/flix2.2.8 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		Input image to convert to video
prompt	string	Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside.	Text prompt describing the desired video
negative_prompt	string	色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走	Negative prompt to avoid unwanted elements
num_frames	integer	81 Min: 1 Max: 200	Number of frames to generate
guidance_scale	number	3.5 Min: 1 Max: 20	Guidance scale for generation
num_inference_steps	integer	40 Min: 1 Max: 100	Number of denoising steps
fps	integer	16 Min: 1 Max: 60	Frames per second for output video
seed	integer	0	Random seed for generation
max_area	integer	399360	Maximum area (height * width) for the image
use_lora	boolean	True	Whether to use LoRA enhancement (FusioniX)
lora_scale	number	1 Max: 2	LoRA scale factor for blending

{
  "type": "object",
  "title": "Input",
  "required": [
    "image"
  ],
  "properties": {
    "fps": {
      "type": "integer",
      "title": "Fps",
      "default": 16,
      "maximum": 60,
      "minimum": 1,
      "x-order": 6,
      "description": "Frames per second for output video"
    },
    "seed": {
      "type": "integer",
      "title": "Seed",
      "default": 0,
      "x-order": 7,
      "description": "Random seed for generation"
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 0,
      "description": "Input image to convert to video"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside.",
      "x-order": 1,
      "description": "Text prompt describing the desired video"
    },
    "max_area": {
      "type": "integer",
      "title": "Max Area",
      "default": 399360,
      "x-order": 8,
      "description": "Maximum area (height * width) for the image"
    },
    "use_lora": {
      "type": "boolean",
      "title": "Use Lora",
      "default": true,
      "x-order": 9,
      "description": "Whether to use LoRA enhancement (FusioniX)"
    },
    "lora_scale": {
      "type": "number",
      "title": "Lora Scale",
      "default": 1,
      "maximum": 2,
      "minimum": 0,
      "x-order": 10,
      "description": "LoRA scale factor for blending"
    },
    "num_frames": {
      "type": "integer",
      "title": "Num Frames",
      "default": 81,
      "maximum": 200,
      "minimum": 1,
      "x-order": 3,
      "description": "Number of frames to generate"
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 3.5,
      "maximum": 20,
      "minimum": 1,
      "x-order": 4,
      "description": "Guidance scale for generation"
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "\u8272\u8c03\u8273\u4e3d\uff0c\u8fc7\u66dd\uff0c\u9759\u6001\uff0c\u7ec6\u8282\u6a21\u7cca\u4e0d\u6e05\uff0c\u5b57\u5e55\uff0c\u98ce\u683c\uff0c\u4f5c\u54c1\uff0c\u753b\u4f5c\uff0c\u753b\u9762\uff0c\u9759\u6b62\uff0c\u6574\u4f53\u53d1\u7070\uff0c\u6700\u5dee\u8d28\u91cf\uff0c\u4f4e\u8d28\u91cf\uff0cJPEG\u538b\u7f29\u6b8b\u7559\uff0c\u4e11\u964b\u7684\uff0c\u6b8b\u7f3a\u7684\uff0c\u591a\u4f59\u7684\u624b\u6307\uff0c\u753b\u5f97\u4e0d\u597d\u7684\u624b\u90e8\uff0c\u753b\u5f97\u4e0d\u597d\u7684\u8138\u90e8\uff0c\u7578\u5f62\u7684\uff0c\u6bc1\u5bb9\u7684\uff0c\u5f62\u6001\u7578\u5f62\u7684\u80a2\u4f53\uff0c\u624b\u6307\u878d\u5408\uff0c\u9759\u6b62\u4e0d\u52a8\u7684\u753b\u9762\uff0c\u6742\u4e71\u7684\u80cc\u666f\uff0c\u4e09\u6761\u817f\uff0c\u80cc\u666f\u4eba\u5f88\u591a\uff0c\u5012\u7740\u8d70",
      "x-order": 2,
      "description": "Negative prompt to avoid unwanted elements"
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 40,
      "maximum": 100,
      "minimum": 1,
      "x-order": 5,
      "description": "Number of denoising steps"
    }
  }
}

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"
}