enhance-replicate/flix2.2.5t2v
Run enhance-replicate/flix2.2.5t2v 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
|
Two anthropomorphic cats in comfy boxing gear and bright gloves fight intensely on a spotlighted stage.
|
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
|
121
Min: 1 Max: 200 |
Number of frames to generate
|
| guidance_scale |
number
|
5
Min: 1 Max: 20 |
Guidance scale for generation
|
| num_inference_steps |
integer
|
50
Min: 1 Max: 100 |
Number of denoising steps
|
| fps |
integer
|
24
Min: 1 Max: 60 |
Frames per second for output video
|
| seed |
integer
|
0
|
Random seed for generation
|
| height |
integer
|
704
Min: 256 Max: 1024 |
Height of the video
|
| width |
integer
|
1280
Min: 256 Max: 1920 |
Width of the video
|
{
"type": "object",
"title": "Input",
"properties": {
"fps": {
"type": "integer",
"title": "Fps",
"default": 24,
"maximum": 60,
"minimum": 1,
"x-order": 5,
"description": "Frames per second for output video"
},
"seed": {
"type": "integer",
"title": "Seed",
"default": 0,
"x-order": 6,
"description": "Random seed for generation"
},
"width": {
"type": "integer",
"title": "Width",
"default": 1280,
"maximum": 1920,
"minimum": 256,
"x-order": 8,
"description": "Width of the video"
},
"height": {
"type": "integer",
"title": "Height",
"default": 704,
"maximum": 1024,
"minimum": 256,
"x-order": 7,
"description": "Height of the video"
},
"prompt": {
"type": "string",
"title": "Prompt",
"default": "Two anthropomorphic cats in comfy boxing gear and bright gloves fight intensely on a spotlighted stage.",
"x-order": 0,
"description": "Text prompt describing the desired video"
},
"num_frames": {
"type": "integer",
"title": "Num Frames",
"default": 121,
"maximum": 200,
"minimum": 1,
"x-order": 2,
"description": "Number of frames to generate"
},
"guidance_scale": {
"type": "number",
"title": "Guidance Scale",
"default": 5,
"maximum": 20,
"minimum": 1,
"x-order": 3,
"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": 1,
"description": "Negative prompt to avoid unwanted elements"
},
"num_inference_steps": {
"type": "integer",
"title": "Num Inference Steps",
"default": 50,
"maximum": 100,
"minimum": 1,
"x-order": 4,
"description": "Number of denoising steps"
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
{
"type": "string",
"title": "Output",
"format": "uri"
}