prunaai/hidream-e1.1:7a206c2e | Run with an API on Replicate

Version

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prunaai /hidream-e1.1:7a206c2e

Playground API

Input

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

npx create-replicate --model=prunaai/hidream-e1.1

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 prunaai/hidream-e1.1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "prunaai/hidream-e1.1:7a206c2ef8f9e64cca46ee11c5a6eae01017f347e05826998b74003eca4d5cad",
  {
    input: {
      seed: -1,
      speed_mode: "Lightly Juiced 🍊 (more consistent)",
      output_format: "webp",
      guidance_scale: 5,
      output_quality: 100,
      num_inference_steps: 28,
      image_guidance_scale: 4
    }
  }
);

// 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 prunaai/hidream-e1.1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "prunaai/hidream-e1.1:7a206c2ef8f9e64cca46ee11c5a6eae01017f347e05826998b74003eca4d5cad",
    input={
        "seed": -1,
        "speed_mode": "Lightly Juiced 🍊 (more consistent)",
        "output_format": "webp",
        "guidance_scale": 5,
        "output_quality": 100,
        "num_inference_steps": 28,
        "image_guidance_scale": 4
    }
)

# 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=<paste-your-token-here>

Find your API token in your account settings.

Run prunaai/hidream-e1.1 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-e1.1:7a206c2ef8f9e64cca46ee11c5a6eae01017f347e05826998b74003eca4d5cad",
    "input": {
      "seed": -1,
      "speed_mode": "Lightly Juiced 🍊 (more consistent)",
      "output_format": "webp",
      "guidance_scale": 5,
      "output_quality": 100,
      "num_inference_steps": 28,
      "image_guidance_scale": 4
    }
  }' \
  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.