sebi75/video-inference:4e1760a3 | Run with an API on Replicate

Version

You're looking at a specific version of this model. Jump to the model overview.

sebi75 /video-inference:4e1760a3

Playground API

Input

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

npx create-replicate --model=sebi75/video-inference

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 sebi75/video-inference using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "sebi75/video-inference:4e1760a34424060e704fec80a8c9afe74190d1fa8683d67eafdb95423f1abede",
  {
    input: {
      seed: 23,
      fps_id: 6,
      version: "svd",
      cond_aug: 0.02,
      decoding_t: 14,
      motion_bucket_id: 127
    }
  }
);

// 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 sebi75/video-inference using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "sebi75/video-inference:4e1760a34424060e704fec80a8c9afe74190d1fa8683d67eafdb95423f1abede",
    input={
        "seed": 23,
        "fps_id": 6,
        "version": "svd",
        "cond_aug": 0.02,
        "decoding_t": 14,
        "motion_bucket_id": 127
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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 sebi75/video-inference 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": "sebi75/video-inference:4e1760a34424060e704fec80a8c9afe74190d1fa8683d67eafdb95423f1abede",
    "input": {
      "seed": 23,
      "fps_id": 6,
      "version": "svd",
      "cond_aug": 0.02,
      "decoding_t": 14,
      "motion_bucket_id": 127
    }
  }' \
  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.