prunaai/flux.1-cheetah:40395798 – Run with an API on Replicate

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prunaai /flux.1-cheetah:40395798

Playground API

Input

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

npx create-replicate --model=prunaai/flux.1-cheetah

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 prunaai/flux.1-cheetah using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "prunaai/flux.1-cheetah:40395798681414feaa3bcf8c39bd0e4c12e6b53ce1ec984d52a77e635469d8e5",
  {
    input: {
      seed: -1,
      prompt: "a tiny astronaut hatching from an egg on the moon",
      guidance: 3.5,
      go_faster: true,
      go_fast_af: false,
      image_size: 1024,
      aspect_ratio: "1:1",
      output_format: "webp",
      output_quality: 80,
      num_inference_steps: 28
    }
  }
);
console.log(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 prunaai/flux.1-cheetah using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "prunaai/flux.1-cheetah:40395798681414feaa3bcf8c39bd0e4c12e6b53ce1ec984d52a77e635469d8e5",
    input={
        "seed": -1,
        "prompt": "a tiny astronaut hatching from an egg on the moon",
        "guidance": 3.5,
        "go_faster": True,
        "go_fast_af": False,
        "image_size": 1024,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "output_quality": 80,
        "num_inference_steps": 28
    }
)
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 prunaai/flux.1-cheetah 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": "40395798681414feaa3bcf8c39bd0e4c12e6b53ce1ec984d52a77e635469d8e5",
    "input": {
      "seed": -1,
      "prompt": "a tiny astronaut hatching from an egg on the moon",
      "guidance": 3.5,
      "go_faster": true,
      "go_fast_af": false,
      "image_size": 1024,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "output_quality": 80,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

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