Prediction

Model

bytedance/hyper-flux-8step:81946b1e

zr6w3kzn81rm60cjb6j9sqh5pc

Status

Succeeded

Source

Web

Hardware

H100

Total duration

4.4s

Created

about 1 year ago by lucataco

Webhook

–

Input

prompt: a dog smiling and looking directly at the camera, wearing a white t-shirt with the word "HYPER" printed on it.
aspect_ratio: 1:1
num_outputs: 1
num_inference_steps: 8
guidance_scale: 3.5
output_format: webp
output_quality: 80

{
  "aspect_ratio": "1:1",
  "guidance_scale": 3.5,
  "num_inference_steps": 8,
  "num_outputs": 1,
  "output_format": "webp",
  "output_quality": 80,
  "prompt": "a dog smiling and looking directly at the camera, wearing a white t-shirt with the word \"HYPER\" printed on it."
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_RHz**********************************

This is your API token. Keep it to yourself.

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 bytedance/hyper-flux-8step using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "bytedance/hyper-flux-8step:81946b1e09b256c543b35f37333a30d0d02ee2cd8c4f77cd915873a1ca622bad",
  {
    input: {
      aspect_ratio: "1:1",
      guidance_scale: 3.5,
      num_inference_steps: 8,
      num_outputs: 1,
      output_format: "webp",
      output_quality: 80,
      prompt: "a dog smiling and looking directly at the camera, wearing a white t-shirt with the word \"HYPER\" printed on it."
    }
  }
);

// 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=r8_RHz**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run bytedance/hyper-flux-8step using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "bytedance/hyper-flux-8step:81946b1e09b256c543b35f37333a30d0d02ee2cd8c4f77cd915873a1ca622bad",
    input={
        "aspect_ratio": "1:1",
        "guidance_scale": 3.5,
        "num_inference_steps": 8,
        "num_outputs": 1,
        "output_format": "webp",
        "output_quality": 80,
        "prompt": "a dog smiling and looking directly at the camera, wearing a white t-shirt with the word \"HYPER\" printed on it."
    }
)

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

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].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=r8_RHz**********************************

This is your API token. Keep it to yourself.

Run bytedance/hyper-flux-8step 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": "bytedance/hyper-flux-8step:81946b1e09b256c543b35f37333a30d0d02ee2cd8c4f77cd915873a1ca622bad",
    "input": {
      "aspect_ratio": "1:1",
      "guidance_scale": 3.5,
      "num_inference_steps": 8,
      "num_outputs": 1,
      "output_format": "webp",
      "output_quality": 80,
      "prompt": "a dog smiling and looking directly at the camera, wearing a white t-shirt with the word \\"HYPER\\" printed on it."
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

2.1 seconds

Tweak it Report