fater-ai/fx-fl-rf | Run with an API on Replicate

Input

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

npx create-replicate --model=fater-ai/fx-fl-rf

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 fater-ai/fx-fl-rf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fater-ai/fx-fl-rf:11ed9334c4c0b5c9c40ff02f88b9bbe7dcb3137039fde8df64f15da1074fe546",
  {
    input: {
      seed: 42,
      steps: 5,
      guidance: 30,
      strength: 1,
      output_format: "webp",
      output_quality: 95,
      randomise_seeds: false,
      force_reset_cache: false,
      return_temp_files: false
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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 fater-ai/fx-fl-rf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fater-ai/fx-fl-rf:11ed9334c4c0b5c9c40ff02f88b9bbe7dcb3137039fde8df64f15da1074fe546",
    input={
        "seed": 42,
        "steps": 5,
        "guidance": 30,
        "strength": 1,
        "output_format": "webp",
        "output_quality": 95,
        "randomise_seeds": False,
        "force_reset_cache": False,
        "return_temp_files": False
    }
)
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 fater-ai/fx-fl-rf 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": "fater-ai/fx-fl-rf:11ed9334c4c0b5c9c40ff02f88b9bbe7dcb3137039fde8df64f15da1074fe546",
    "input": {
      "seed": 42,
      "steps": 5,
      "guidance": 30,
      "strength": 1,
      "output_format": "webp",
      "output_quality": 95,
      "randomise_seeds": false,
      "force_reset_cache": false,
      "return_temp_files": false
    }
  }' \
  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.