lightweight-ai/video_test – Run with an API on Replicate

lightweight-ai / video_test

Cold

Public
1 run
A100 (80GB)

Run with an API

Playground API Examples README Versions

Input

prompt

string

Shift + Return to add a new line

Close-up of a chameleon's eye, with its scaly skin changing color. Ultra high resolution 4k.Close-up of a chameleon's eye, with its scaly skin changing color. Ultra high resolution 4k.

Focus on a single, central subject. Structure the prompt from coarse to fine details. Start with 'a close shot' or 'a medium shot' if applicable. Append 'high resolution 4k' to reduce warping

Default: "Close-up of a chameleon's eye, with its scaly skin changing color. Ultra high resolution 4k."

num_frames

integer

(minimum: 30, maximum: 170)

Number of frames to generate

Default: 163

num_inference_steps

integer

(minimum: 10, maximum: 200)

Number of inference steps

Default: 64

guidance_scale

number

(minimum: 0.1, maximum: 10)

The guidance scale for the model

Default: 6

fps

integer

(minimum: 10, maximum: 60)

Frames per second

Default: 30

seed

integer

Random seed

Run this model in Node.js with one line of code:

npx create-replicate --model=lightweight-ai/video_test

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run lightweight-ai/video_test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lightweight-ai/video_test:0e1ad0ec646658daf0fe645f1403612b7524064861ce3968a56f307d49038fc5",
  {
    input: {
      fps: 30,
      prompt: "Close-up of a chameleon's eye, with its scaly skin changing color. Ultra high resolution 4k.",
      num_frames: 163,
      guidance_scale: 6,
      num_inference_steps: 64
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run lightweight-ai/video_test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lightweight-ai/video_test:0e1ad0ec646658daf0fe645f1403612b7524064861ce3968a56f307d49038fc5",
    input={
        "fps": 30,
        "prompt": "Close-up of a chameleon's eye, with its scaly skin changing color. Ultra high resolution 4k.",
        "num_frames": 163,
        "guidance_scale": 6,
        "num_inference_steps": 64
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run lightweight-ai/video_test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "0e1ad0ec646658daf0fe645f1403612b7524064861ce3968a56f307d49038fc5",
    "input": {
      "fps": 30,
      "prompt": "Close-up of a chameleon\'s eye, with its scaly skin changing color. Ultra high resolution 4k.",
      "num_frames": 163,
      "guidance_scale": 6,
      "num_inference_steps": 64
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model runs on Nvidia A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.