prunaai / hidream-l1-dev

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

Cold

Public
26.5K runs
A100 (80GB)

Run with an API

Playground API Examples README Versions

Prediction

prunaai/hidream-l1-dev:06ac7fe2c4c8afe5c2fb6bac3bcc082c60a48f9572e4c09c26a41e91034b9681

Model

prunaai/hidream-l1-dev:06ac7fe2

g03tfm1exxrj40cp3zfaex99c8

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

7.5s

Created

20 days ago

Input

seed: -1
prompt: a purple cheetah holding a sign that says "pip install pruna"
model_type: dev
resolution: 1024 × 1024 (Square)
speed_mode: Juiced 🔥 (more speed)
output_format: webp
output_quality: 80

{
  "seed": -1,
  "prompt": "a purple cheetah holding a sign that says \"pip install pruna\"",
  "model_type": "dev",
  "resolution": "1024 × 1024 (Square)",
  "speed_mode": "Juiced 🔥 (more speed)",
  "output_format": "webp",
  "output_quality": 80
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run prunaai/hidream-l1-dev 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-dev:06ac7fe2c4c8afe5c2fb6bac3bcc082c60a48f9572e4c09c26a41e91034b9681",
  {
    input: {
      seed: -1,
      prompt: "a purple cheetah holding a sign that says \"pip install pruna\"",
      model_type: "dev",
      resolution: "1024 × 1024 (Square)",
      speed_mode: "Juiced 🔥 (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

Import the client:

import replicate

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

output = replicate.run(
    "prunaai/hidream-l1-dev:06ac7fe2c4c8afe5c2fb6bac3bcc082c60a48f9572e4c09c26a41e91034b9681",
    input={
        "seed": -1,
        "prompt": "a purple cheetah holding a sign that says \"pip install pruna\"",
        "model_type": "dev",
        "resolution": "1024 × 1024 (Square)",
        "speed_mode": "Juiced 🔥 (more speed)",
        "output_format": "webp",
        "output_quality": 80
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run prunaai/hidream-l1-dev 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": "06ac7fe2c4c8afe5c2fb6bac3bcc082c60a48f9572e4c09c26a41e91034b9681",
    "input": {
      "seed": -1,
      "prompt": "a purple cheetah holding a sign that says \\"pip install pruna\\"",
      "model_type": "dev",
      "resolution": "1024 × 1024 (Square)",
      "speed_mode": "Juiced 🔥 (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

7.5 seconds

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Prediction

prunaai/hidream-l1-dev:4a8013ad09f4cc08e48fd3120f3b3bd283eaa432e0ba077921c65212b5ad1236

Model

prunaai/hidream-l1-dev:4a8013ad

g6vcjvxw7hrj20cp42bs268cfg

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

2m 14s

Created

20 days ago

Input

seed: -1
prompt: a purple cheetah holding a sign that says "pip install pruna"
model_type: dev
resolution: 1024 × 1024 (Square)
speed_mode: Juiced 🔥 (more speed)
output_format: webp
output_quality: 80

{
  "seed": -1,
  "prompt": "a purple cheetah holding a sign that says \"pip install pruna\"",
  "model_type": "dev",
  "resolution": "1024 × 1024 (Square)",
  "speed_mode": "Juiced 🔥 (more speed)",
  "output_format": "webp",
  "output_quality": 80
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run prunaai/hidream-l1-dev 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-dev:4a8013ad09f4cc08e48fd3120f3b3bd283eaa432e0ba077921c65212b5ad1236",
  {
    input: {
      seed: -1,
      prompt: "a purple cheetah holding a sign that says \"pip install pruna\"",
      model_type: "dev",
      resolution: "1024 × 1024 (Square)",
      speed_mode: "Juiced 🔥 (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

Import the client:

import replicate

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

output = replicate.run(
    "prunaai/hidream-l1-dev:4a8013ad09f4cc08e48fd3120f3b3bd283eaa432e0ba077921c65212b5ad1236",
    input={
        "seed": -1,
        "prompt": "a purple cheetah holding a sign that says \"pip install pruna\"",
        "model_type": "dev",
        "resolution": "1024 × 1024 (Square)",
        "speed_mode": "Juiced 🔥 (more speed)",
        "output_format": "webp",
        "output_quality": 80
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run prunaai/hidream-l1-dev 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": "4a8013ad09f4cc08e48fd3120f3b3bd283eaa432e0ba077921c65212b5ad1236",
    "input": {
      "seed": -1,
      "prompt": "a purple cheetah holding a sign that says \\"pip install pruna\\"",
      "model_type": "dev",
      "resolution": "1024 × 1024 (Square)",
      "speed_mode": "Juiced 🔥 (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

8.1 seconds

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prunaai / hidream-l1-dev

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Output

Prediction

Input

Output

Logs (g03tfm1exxrj40cp3zfaex99c8)

Logs (g6vcjvxw7hrj20cp42bs268cfg)