enhance-replicate/flix2.2.14i2v

Public
3 runs

Run enhance-replicate/flix2.2.14i2v 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
width
integer
832

Min: 64

Max: 1920

Width of the output video
height
integer
480

Min: 64

Max: 1080

Height of the output video
num_frames
integer
25

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
6

Min: 1

Max: 100

Number of denoising steps
fps
integer
6

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

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"
}