okaris/cake-fake – Run with an API on Replicate

okaris / cake-fake

A model to feed Replicate DreamBooth API with your trained weights.

Cold

Public
29K runs
CPU
GitHub

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

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

npx create-replicate --model=okaris/cake-fake

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 okaris/cake-fake using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "okaris/cake-fake:67ed7bdd963768fc3f29e7ed91c8c8926b783342cb8dce694e02d833002c3ea7",
  {
    input: {}
  }
);

// 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 okaris/cake-fake using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "okaris/cake-fake:67ed7bdd963768fc3f29e7ed91c8c8926b783342cb8dce694e02d833002c3ea7",
    input={}
)
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 okaris/cake-fake 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": "okaris/cake-fake:67ed7bdd963768fc3f29e7ed91c8c8926b783342cb8dce694e02d833002c3ea7",
    "input": {}
  }' \
  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 costs approximately $0.0028 to run on Replicate, or 357 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on CPU hardware. Predictions typically complete within 29 seconds.

Readme

A model to feed Replicate DreamBooth API with your trained weights.

Model description

This is a very simple model that just returns the zipped weights from the input without any processing. (Except a file rename)

Intended use

This model is intended to be used with the Replicate Dreambooth API

If you already have trained weights and you don’t need to train again to use the DreamBooth API, you can just use this model’s version for the DB API trainer_version parameter to have your trained model pushed to Replicate.

Sample request:

curl -X POST \
    -H "Authorization: Token $REPLICATE_API_TOKEN" \
    -H "Content-Type: application/json" \
    -d '{
            "input": {
                "instance_prompt": "$WEIGHTS_URL"
            },
            "model": "yourusername/yourmodel",
            "trainer_version": "6328d359553f398f3bef3d42a26b21f86e43a9e9a3060bd6fa6d6cb388758fcc",
            "webhook_completed": "https://example.com/dreambooth-webhook"
        }' \
    https://dreambooth-api-experimental.replicate.com/v1/trainings