Prediction

prunaai/hidream-l1-fast:2b7cd2858ca8d75aeed6bdb5bf6a1399f54145b7482c857701399a973fcd3dd7

Model

prunaai/hidream-l1-fast:2b7cd285

ID

xjg54g4qdsrm80cp42bt96g6q8

Status

Succeeded

Source

Web

Hardware

H100

Total duration

2m 26s

Created

about 1 month ago

Input

seed: 10
prompt: a purple cheetah holding a sign that says "pip install pruna"
model_type: fast
resolution: 1024 × 1024 (Square)
speed_mode: Lightly Juiced 🍊 (more consistent)
output_format: webp
output_quality: 80

{
  "seed": 10,
  "prompt": "a purple cheetah holding a sign that says \"pip install pruna\"",
  "model_type": "fast",
  "resolution": "1024 × 1024 (Square)",
  "speed_mode": "Lightly Juiced 🍊 (more consistent)",
  "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-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:2b7cd2858ca8d75aeed6bdb5bf6a1399f54145b7482c857701399a973fcd3dd7",
  {
    input: {
      seed: 10,
      prompt: "a purple cheetah holding a sign that says \"pip install pruna\"",
      model_type: "fast",
      resolution: "1024 × 1024 (Square)",
      speed_mode: "Lightly Juiced 🍊 (more consistent)",
      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-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:2b7cd2858ca8d75aeed6bdb5bf6a1399f54145b7482c857701399a973fcd3dd7",
    input={
        "seed": 10,
        "prompt": "a purple cheetah holding a sign that says \"pip install pruna\"",
        "model_type": "fast",
        "resolution": "1024 × 1024 (Square)",
        "speed_mode": "Lightly Juiced 🍊 (more consistent)",
        "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-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:2b7cd2858ca8d75aeed6bdb5bf6a1399f54145b7482c857701399a973fcd3dd7",
    "input": {
      "seed": 10,
      "prompt": "a purple cheetah holding a sign that says \\"pip install pruna\\"",
      "model_type": "fast",
      "resolution": "1024 × 1024 (Square)",
      "speed_mode": "Lightly Juiced 🍊 (more consistent)",
      "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

3.3 seconds

Tweak it ShareReport

Prediction

prunaai/hidream-l1-fast:2b7cd2858ca8d75aeed6bdb5bf6a1399f54145b7482c857701399a973fcd3dd7

Model

prunaai/hidream-l1-fast:2b7cd285

ID

pw5mv4znj5rma0cp42v8e8f0kg

Status

Succeeded

Source

Web

Hardware

H100

Total duration

2.0s

Created

about 1 month ago by @prunaai

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

{
  "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
}

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-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:2b7cd2858ca8d75aeed6bdb5bf6a1399f54145b7482c857701399a973fcd3dd7",
  {
    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

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:2b7cd2858ca8d75aeed6bdb5bf6a1399f54145b7482c857701399a973fcd3dd7",
    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.

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:2b7cd2858ca8d75aeed6bdb5bf6a1399f54145b7482c857701399a973fcd3dd7",
    "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

Prediction

prunaai/hidream-l1-fast:f67f0ec7ef9fe91b74e8a68d34efaa9145bec28675cb190cbff8a70f0490256e

Model

prunaai/hidream-l1-fast:f67f0ec7

ID

h0yzrzmsenrm80cp7xavacv1s4

Status

Succeeded

Source

Web

Hardware

H100

Total duration

2.5s

Created

about 1 month ago

Input

seed: 10
prompt: a happy spherical purple prune emoji and a sign that says "hidream is Fast!"
model_type: fast
resolution: 1024 × 1024 (Square)
speed_mode: Juiced 🔥 (more speed)
output_format: webp
output_quality: 80

{
  "seed": 10,
  "prompt": "a happy spherical purple prune emoji and a sign that says \"hidream is Fast!\"",
  "model_type": "fast",
  "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-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:f67f0ec7ef9fe91b74e8a68d34efaa9145bec28675cb190cbff8a70f0490256e",
  {
    input: {
      seed: 10,
      prompt: "a happy spherical purple prune emoji and a sign that says \"hidream is Fast!\"",
      model_type: "fast",
      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-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:f67f0ec7ef9fe91b74e8a68d34efaa9145bec28675cb190cbff8a70f0490256e",
    input={
        "seed": 10,
        "prompt": "a happy spherical purple prune emoji and a sign that says \"hidream is Fast!\"",
        "model_type": "fast",
        "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-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:f67f0ec7ef9fe91b74e8a68d34efaa9145bec28675cb190cbff8a70f0490256e",
    "input": {
      "seed": 10,
      "prompt": "a happy spherical purple prune emoji and a sign that says \\"hidream is Fast!\\"",
      "model_type": "fast",
      "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.