charlesmccarthy/epicrealism-v7:7199497d – Run with an API on Replicate

Version

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charlesmccarthy /epicrealism-v7:7199497d

Playground API

Input

model

string

The model to use

Default: "epiCRealism-v7.safetensors"

vae

string

The VAE to use

Default: "sdxl-vae-fp16-fix"

prompt

string

Shift + Return to add a new line

A beautiful woman named Tiffany from Atlanta, with pink straight hair, blue eyes, beautiful smile, hard shadowsA beautiful woman named Tiffany from Atlanta, with pink straight hair, blue eyes, beautiful smile, hard shadows

The prompt

Default: "A beautiful woman named Tiffany from Atlanta, with pink straight hair, blue eyes, beautiful smile, hard shadows"

negative_prompt

string

Shift + Return to add a new line

The negative prompt (For things you don't want)

Default: "watermarks, logos"

scheduler

string

The scheduler to use

Default: "DPM++ 2M SDE Karras"

steps

integer

(minimum: 1, maximum: 100)

The steps when generating

Default: 35

cfg_scale

number

(minimum: 1, maximum: 30)

CFG Scale defines how much attention the model pays to the prompt when generating

Default: 7

guidance_rescale

number

(minimum: 0, maximum: 1)

The amount to rescale CFG generated noise to avoid generating overexposed images

Default: 0.7

width

integer

(minimum: 1, maximum: 2048)

The width of the image

Default: 1184

height

integer

(minimum: 1, maximum: 2048)

The height of the image

Default: 864

batch_size

integer

(minimum: 1, maximum: 4)

Number of images to generate (1-4)

Default: 1

seed

integer

The seed used when generating, set to -1 for random seed

Default: -1

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

npx create-replicate --model=charlesmccarthy/epicrealism-v7

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 charlesmccarthy/epicrealism-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "charlesmccarthy/epicrealism-v7:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54",
  {
    input: {
      vae: "sdxl-vae-fp16-fix",
      seed: -1,
      model: "epiCRealism-v7.safetensors",
      steps: 35,
      width: 1184,
      height: 864,
      prompt: "A beautiful woman named Tiffany from Atlanta, with pink straight hair, blue eyes, beautiful smile, hard shadows",
      cfg_scale: 7,
      scheduler: "DPM++ 2M SDE Karras",
      batch_size: 1,
      negative_prompt: "watermarks, logos",
      guidance_rescale: 0.7
    }
  }
);

// 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.

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 charlesmccarthy/epicrealism-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "charlesmccarthy/epicrealism-v7:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54",
    input={
        "vae": "sdxl-vae-fp16-fix",
        "seed": -1,
        "model": "epiCRealism-v7.safetensors",
        "steps": 35,
        "width": 1184,
        "height": 864,
        "prompt": "A beautiful woman named Tiffany from Atlanta, with pink straight hair, blue eyes, beautiful smile, hard shadows",
        "cfg_scale": 7,
        "scheduler": "DPM++ 2M SDE Karras",
        "batch_size": 1,
        "negative_prompt": "watermarks, logos",
        "guidance_rescale": 0.7
    }
)
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 charlesmccarthy/epicrealism-v7 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": "7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54",
    "input": {
      "vae": "sdxl-vae-fp16-fix",
      "seed": -1,
      "model": "epiCRealism-v7.safetensors",
      "steps": 35,
      "width": 1184,
      "height": 864,
      "prompt": "A beautiful woman named Tiffany from Atlanta, with pink straight hair, blue eyes, beautiful smile, hard shadows",
      "cfg_scale": 7,
      "scheduler": "DPM++ 2M SDE Karras",
      "batch_size": 1,
      "negative_prompt": "watermarks, logos",
      "guidance_rescale": 0.7
    }
  }' \
  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/charlesmccarthy/epicrealism-v7@sha256:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54 \
  -i 'vae="sdxl-vae-fp16-fix"' \
  -i 'seed=-1' \
  -i 'model="epiCRealism-v7.safetensors"' \
  -i 'steps=35' \
  -i 'width=1184' \
  -i 'height=864' \
  -i 'prompt="A beautiful woman named Tiffany from Atlanta, with pink straight hair, blue eyes, beautiful smile, hard shadows"' \
  -i 'cfg_scale=7' \
  -i 'scheduler="DPM++ 2M SDE Karras"' \
  -i 'batch_size=1' \
  -i 'negative_prompt="watermarks, logos"' \
  -i 'guidance_rescale=0.7'

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/charlesmccarthy/epicrealism-v7@sha256:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "vae": "sdxl-vae-fp16-fix",
      "seed": -1,
      "model": "epiCRealism-v7.safetensors",
      "steps": 35,
      "width": 1184,
      "height": 864,
      "prompt": "A beautiful woman named Tiffany from Atlanta, with pink straight hair, blue eyes, beautiful smile, hard shadows",
      "cfg_scale": 7,
      "scheduler": "DPM++ 2M SDE Karras",
      "batch_size": 1,
      "negative_prompt": "watermarks, logos",
      "guidance_rescale": 0.7
    }
  }' \
  http://localhost:5000/predictions

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

Output

No output yet! Press "Submit" to start a prediction.