prunaai/hidream-l1-fast – Run with an API on Replicate

prunaai / hidream-l1-fast

This is an optimised version of the hidream-l1 model using the pruna ai optimisation toolkit!

Warm

Public
232.4K runs
H100
GitHub
Weights
License

Run with an API

Playground API Examples README Versions

Input

prompt

*string

Shift + Return to add a new line

a purple cheetah holding a sign that says "pip install pruna"a purple cheetah holding a sign that says "pip install pruna"

Prompt

model_type

string

Model type

Default: "fast"

speed_mode

string

Speed optimization level

Default: "Lightly Juiced 🍊 (more consistent)"

resolution

string

Output resolution

Default: "1024 × 1024 (Square)"

seed

integer

Random seed (-1 for random)

Default: -1

output_format

string

Output format

Default: "webp"

output_quality

integer

(minimum: 1, maximum: 100)

Output quality (for jpg and webp)

Default: 100

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

npx create-replicate --model=prunaai/hidream-l1-fast

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/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:17c237d753218fed0ed477cb553902b6b75735f48c128537ab829096ef3d3645",
  {
    input: {
      seed: 10,
      prompt: "a purple cheetah holding a sign that says \"pip install pruna\"",
      model_type: "fast",
      resolution: "1024 × 1024 (Square)",
      speed_mode: "Extra Juiced 🚀 (even more speed)",
      output_format: "webp",
      output_quality: 80
    }
  }
);

// 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-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:17c237d753218fed0ed477cb553902b6b75735f48c128537ab829096ef3d3645",
    input={
        "seed": 10,
        "prompt": "a purple cheetah holding a sign that says \"pip install pruna\"",
        "model_type": "fast",
        "resolution": "1024 × 1024 (Square)",
        "speed_mode": "Extra Juiced 🚀 (even more speed)",
        "output_format": "webp",
        "output_quality": 80
    }
)
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/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:17c237d753218fed0ed477cb553902b6b75735f48c128537ab829096ef3d3645",
    "input": {
      "seed": 10,
      "prompt": "a purple cheetah holding a sign that says \\"pip install pruna\\"",
      "model_type": "fast",
      "resolution": "1024 × 1024 (Square)",
      "speed_mode": "Extra Juiced 🚀 (even more speed)",
      "output_format": "webp",
      "output_quality": 80
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

2.0 seconds

Tweak it ShareReport

This output was created using a different version of the model, prunaai/hidream-l1-fast:2b7cd285.

Examples

View more examples

Run time and cost

This model costs approximately $0.0050 to run on Replicate, or 200 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia H100 GPU hardware. Predictions typically complete within 4 seconds.

Readme

This model doesn't have a readme.