chamuditha4/sdlvideo | Run with an API on Replicate

Input

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

npx create-replicate --model=chamuditha4/sdlvideo

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 chamuditha4/sdlvideo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "chamuditha4/sdlvideo:96d5b8c70ef7b2d8215dd96787fd5d5762de1ca309ba08676e7901a38bb67ecd",
  {
    input: {
      cond_aug: 0.02,
      decoding_t: 14,
      video_length: "14_frames_with_svd",
      sizing_strategy: "maintain_aspect_ratio",
      motion_bucket_id: 127,
      frames_per_second: 6
    }
  }
);

// 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 chamuditha4/sdlvideo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "chamuditha4/sdlvideo:96d5b8c70ef7b2d8215dd96787fd5d5762de1ca309ba08676e7901a38bb67ecd",
    input={
        "cond_aug": 0.02,
        "decoding_t": 14,
        "video_length": "14_frames_with_svd",
        "sizing_strategy": "maintain_aspect_ratio",
        "motion_bucket_id": 127,
        "frames_per_second": 6
    }
)

# 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 chamuditha4/sdlvideo 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": "chamuditha4/sdlvideo:96d5b8c70ef7b2d8215dd96787fd5d5762de1ca309ba08676e7901a38bb67ecd",
    "input": {
      "cond_aug": 0.02,
      "decoding_t": 14,
      "video_length": "14_frames_with_svd",
      "sizing_strategy": "maintain_aspect_ratio",
      "motion_bucket_id": 127,
      "frames_per_second": 6
    }
  }' \
  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 L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.