Prediction

ID

j7v1ttgnksrgp0cfwcsbatzz2m

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.1s

Created

12 months ago by @fofr

Input

width: 1024
height: 1024
prompt: A vibrant portrait photo, pink hair
output_format: webp
output_quality: 80
negative_prompt
number_of_images: 1

{
  "width": 1024,
  "height": 1024,
  "prompt": "A vibrant portrait photo, pink hair",
  "output_format": "webp",
  "output_quality": 80,
  "negative_prompt": "",
  "number_of_images": 1
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run fofr/epicrealismxl-lightning-hades using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "A vibrant portrait photo, pink hair",
      output_format: "webp",
      output_quality: 80,
      negative_prompt: "",
      number_of_images: 1
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

pip install replicate

Import the client:

import replicate

Run fofr/epicrealismxl-lightning-hades using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "A vibrant portrait photo, pink hair",
        "output_format": "webp",
        "output_quality": 80,
        "negative_prompt": "",
        "number_of_images": 1
    }
)
print(output)

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

Run fofr/epicrealismxl-lightning-hades 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": "fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "A vibrant portrait photo, pink hair",
      "output_format": "webp",
      "output_quality": 80,
      "negative_prompt": "",
      "number_of_images": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/fofr/epicrealismxl-lightning-hades@sha256:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a \
  -i 'width=1024' \
  -i 'height=1024' \
  -i 'prompt="A vibrant portrait photo, pink hair"' \
  -i 'output_format="webp"' \
  -i 'output_quality=80' \
  -i 'negative_prompt=""' \
  -i 'number_of_images=1'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/fofr/epicrealismxl-lightning-hades@sha256:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "A vibrant portrait photo, pink hair",
      "output_format": "webp",
      "output_quality": 80,
      "negative_prompt": "",
      "number_of_images": 1
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

2.1 seconds

fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a

Prediction

Model

ID

pskq8vvmtxrgp0cfwcs8cedbcr

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.3s

Created

12 months ago

Input

width: 1024
height: 1024
prompt: A landscape photo of a volcano erupting
output_format: webp
output_quality: 80
negative_prompt
number_of_images: 1

{
  "width": 1024,
  "height": 1024,
  "prompt": "A landscape photo of a volcano erupting",
  "output_format": "webp",
  "output_quality": 80,
  "negative_prompt": "",
  "number_of_images": 1
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run fofr/epicrealismxl-lightning-hades using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "A landscape photo of a volcano erupting",
      output_format: "webp",
      output_quality: 80,
      negative_prompt: "",
      number_of_images: 1
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

pip install replicate

Import the client:

import replicate

Run fofr/epicrealismxl-lightning-hades using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "A landscape photo of a volcano erupting",
        "output_format": "webp",
        "output_quality": 80,
        "negative_prompt": "",
        "number_of_images": 1
    }
)
print(output)

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

Run fofr/epicrealismxl-lightning-hades 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": "fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "A landscape photo of a volcano erupting",
      "output_format": "webp",
      "output_quality": 80,
      "negative_prompt": "",
      "number_of_images": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/fofr/epicrealismxl-lightning-hades@sha256:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a \
  -i 'width=1024' \
  -i 'height=1024' \
  -i 'prompt="A landscape photo of a volcano erupting"' \
  -i 'output_format="webp"' \
  -i 'output_quality=80' \
  -i 'negative_prompt=""' \
  -i 'number_of_images=1'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/fofr/epicrealismxl-lightning-hades@sha256:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "A landscape photo of a volcano erupting",
      "output_format": "webp",
      "output_quality": 80,
      "negative_prompt": "",
      "number_of_images": 1
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

2.2 seconds

fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a

Prediction

Model

ID

6ctn3a4v31rgj0cfwcsr16g5zm

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.4s

Created

12 months ago

Input

width: 1024
height: 1024
prompt: a living room interior
output_format: webp
output_quality: 80
negative_prompt
number_of_images: 1

{
  "width": 1024,
  "height": 1024,
  "prompt": "a living room interior",
  "output_format": "webp",
  "output_quality": 80,
  "negative_prompt": "",
  "number_of_images": 1
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run fofr/epicrealismxl-lightning-hades using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "a living room interior",
      output_format: "webp",
      output_quality: 80,
      negative_prompt: "",
      number_of_images: 1
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

pip install replicate

Import the client:

import replicate

Run fofr/epicrealismxl-lightning-hades using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "a living room interior",
        "output_format": "webp",
        "output_quality": 80,
        "negative_prompt": "",
        "number_of_images": 1
    }
)
print(output)

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

Run fofr/epicrealismxl-lightning-hades 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": "fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "a living room interior",
      "output_format": "webp",
      "output_quality": 80,
      "negative_prompt": "",
      "number_of_images": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/fofr/epicrealismxl-lightning-hades@sha256:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a \
  -i 'width=1024' \
  -i 'height=1024' \
  -i 'prompt="a living room interior"' \
  -i 'output_format="webp"' \
  -i 'output_quality=80' \
  -i 'negative_prompt=""' \
  -i 'number_of_images=1'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/fofr/epicrealismxl-lightning-hades@sha256:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "a living room interior",
      "output_format": "webp",
      "output_quality": 80,
      "negative_prompt": "",
      "number_of_images": 1
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

2.3 seconds

fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a

Prediction

Model

ID

6vjt3h1h51rgm0cfwczs5f9x68

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1.3s

Created

12 months ago by @fofr

Input

width: 1024
height: 1024
prompt: a dreamy ethereal painting
output_format: webp
output_quality: 80
negative_prompt
number_of_images: 1

{
  "width": 1024,
  "height": 1024,
  "prompt": "a dreamy ethereal painting",
  "output_format": "webp",
  "output_quality": 80,
  "negative_prompt": "",
  "number_of_images": 1
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run fofr/epicrealismxl-lightning-hades using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "a dreamy ethereal painting",
      output_format: "webp",
      output_quality: 80,
      negative_prompt: "",
      number_of_images: 1
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

pip install replicate

Import the client:

import replicate

Run fofr/epicrealismxl-lightning-hades using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "a dreamy ethereal painting",
        "output_format": "webp",
        "output_quality": 80,
        "negative_prompt": "",
        "number_of_images": 1
    }
)
print(output)

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

Run fofr/epicrealismxl-lightning-hades 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": "fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "a dreamy ethereal painting",
      "output_format": "webp",
      "output_quality": 80,
      "negative_prompt": "",
      "number_of_images": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/fofr/epicrealismxl-lightning-hades@sha256:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a \
  -i 'width=1024' \
  -i 'height=1024' \
  -i 'prompt="a dreamy ethereal painting"' \
  -i 'output_format="webp"' \
  -i 'output_quality=80' \
  -i 'negative_prompt=""' \
  -i 'number_of_images=1'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/fofr/epicrealismxl-lightning-hades@sha256:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "a dreamy ethereal painting",
      "output_format": "webp",
      "output_quality": 80,
      "negative_prompt": "",
      "number_of_images": 1
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

1.3 seconds

fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a

Prediction

Model

ID

nah4jqf4phrgg0cfwd7bs0kbtr

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1.5s

Created

12 months ago

Input

width: 1024
height: 1024
prompt: epic realism xl lightning hades
output_format: webp
output_quality: 80
negative_prompt
number_of_images: 1

{
  "width": 1024,
  "height": 1024,
  "prompt": "epic realism xl lightning hades",
  "output_format": "webp",
  "output_quality": 80,
  "negative_prompt": "",
  "number_of_images": 1
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run fofr/epicrealismxl-lightning-hades using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "epic realism xl lightning hades",
      output_format: "webp",
      output_quality: 80,
      negative_prompt: "",
      number_of_images: 1
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

pip install replicate

Import the client:

import replicate

Run fofr/epicrealismxl-lightning-hades using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "epic realism xl lightning hades",
        "output_format": "webp",
        "output_quality": 80,
        "negative_prompt": "",
        "number_of_images": 1
    }
)
print(output)

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

Run fofr/epicrealismxl-lightning-hades 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": "fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "epic realism xl lightning hades",
      "output_format": "webp",
      "output_quality": 80,
      "negative_prompt": "",
      "number_of_images": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/fofr/epicrealismxl-lightning-hades@sha256:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a \
  -i 'width=1024' \
  -i 'height=1024' \
  -i 'prompt="epic realism xl lightning hades"' \
  -i 'output_format="webp"' \
  -i 'output_quality=80' \
  -i 'negative_prompt=""' \
  -i 'number_of_images=1'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/fofr/epicrealismxl-lightning-hades@sha256:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "epic realism xl lightning hades",
      "output_format": "webp",
      "output_quality": 80,
      "negative_prompt": "",
      "number_of_images": 1
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

1.5 seconds

fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a

Prediction

Model

ID

1gnfg20jpdrgm0cfwf9r9w87dm

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.1s

Created

12 months ago by @fofr

Input

width: 1024
height: 1024
prompt: A portrait photo, pink hair, lightning storm
output_format: webp
output_quality: 80
negative_prompt
number_of_images: 1

{
  "width": 1024,
  "height": 1024,
  "prompt": "A portrait photo, pink hair, lightning storm",
  "output_format": "webp",
  "output_quality": 80,
  "negative_prompt": "",
  "number_of_images": 1
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run fofr/epicrealismxl-lightning-hades using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/epicrealismxl-lightning-hades:0ca10b1fd361c1c5568720736411eaa89d9684415eb61fd36875b4d3c20f605a",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "A portrait photo, pink hair, lightning storm",
      output_format: "webp",
      output_quality: 80,
      negative_prompt: "",
      number_of_images: 1
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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