zsxkib/memo:be54f93b | Run with an API on Replicate

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zsxkib /memo:be54f93b

Playground API

Input

image

*file

Input image (e.g. PNG/JPG).

audio

*file

Input audio (e.g. WAV/MP3).

inference_steps

integer

(minimum: 1, maximum: 200)

Diffusion inference steps

Default: 20

cfg_scale

number

(minimum: 1, maximum: 20)

Classifier-free guidance scale

Default: 3.5

seed

integer

Set a random seed (None or 0 for random)

Including resolution and 3 more...

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

npx create-replicate --model=zsxkib/memo

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";
import fs from "node:fs";

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

Run zsxkib/memo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zsxkib/memo:be54f93bc72d562ab2577f57b7eec44707efde55d058ee504c8b65a62d70fdf3",
  {
    input: {
      fps: 30,
      cfg_scale: 3.5,
      resolution: 512,
      inference_steps: 20,
      max_audio_seconds: 8,
      num_generated_frames_per_clip: 16
    }
  }
);

// 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 zsxkib/memo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zsxkib/memo:be54f93bc72d562ab2577f57b7eec44707efde55d058ee504c8b65a62d70fdf3",
    input={
        "fps": 30,
        "cfg_scale": 3.5,
        "resolution": 512,
        "inference_steps": 20,
        "max_audio_seconds": 8,
        "num_generated_frames_per_clip": 16
    }
)
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 zsxkib/memo 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": "zsxkib/memo:be54f93bc72d562ab2577f57b7eec44707efde55d058ee504c8b65a62d70fdf3",
    "input": {
      "fps": 30,
      "cfg_scale": 3.5,
      "resolution": 512,
      "inference_steps": 20,
      "max_audio_seconds": 8,
      "num_generated_frames_per_clip": 16
    }
  }' \
  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.