Prediction

Model

prunaai/hidream-l1-fast:91752cc0

tdfnxg7masrmc0cqzrvbkbe1xw

Status

Succeeded

Source

Web

Hardware

H100

Total duration

1.7s

Created

5 months ago by prunaai

Webhook

–

Input

prompt: a purple cheetah holding a sign that says "pip install pruna"
model_type: fast
speed_mode: Extra Juiced 🚀 (even more speed)
resolution: 1024 × 1024 (Square)
seed: 10
output_format: jpg
output_quality: 80

{
  "model_type": "fast",
  "output_format": "jpg",
  "output_quality": 80,
  "prompt": "a purple cheetah holding a sign that says \"pip install pruna\"",
  "resolution": "1024 × 1024 (Square)",
  "seed": 10,
  "speed_mode": "Extra Juiced 🚀 (even more speed)"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Uaj**********************************

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 prunaai/hidream-l1-fast using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "prunaai/hidream-l1-fast:91752cc0b07ccd5976f1db2b6b7f10296ac12d6cb2ba87056f79b17ffacca5f5",
  {
    input: {
      model_type: "fast",
      output_format: "jpg",
      output_quality: 80,
      prompt: "a purple cheetah holding a sign that says \"pip install pruna\"",
      resolution: "1024 × 1024 (Square)",
      seed: 10,
      speed_mode: "Extra Juiced 🚀 (even more speed)"
    }
  }
);

// 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=r8_Uaj**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run prunaai/hidream-l1-fast using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "prunaai/hidream-l1-fast:91752cc0b07ccd5976f1db2b6b7f10296ac12d6cb2ba87056f79b17ffacca5f5",
    input={
        "model_type": "fast",
        "output_format": "jpg",
        "output_quality": 80,
        "prompt": "a purple cheetah holding a sign that says \"pip install pruna\"",
        "resolution": "1024 × 1024 (Square)",
        "seed": 10,
        "speed_mode": "Extra Juiced 🚀 (even more speed)"
    }
)

# 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=r8_Uaj**********************************

This is your API token. Keep it to yourself.

Run prunaai/hidream-l1-fast 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": "prunaai/hidream-l1-fast:91752cc0b07ccd5976f1db2b6b7f10296ac12d6cb2ba87056f79b17ffacca5f5",
    "input": {
      "model_type": "fast",
      "output_format": "jpg",
      "output_quality": 80,
      "prompt": "a purple cheetah holding a sign that says \\"pip install pruna\\"",
      "resolution": "1024 × 1024 (Square)",
      "seed": 10,
      "speed_mode": "Extra Juiced 🚀 (even more speed)"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.7 second

Tweak it Report