bryantanjw/entropy-lol:55948462 – Run with an API on Replicate

Version

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bryantanjw /entropy-lol:55948462

Playground API

Input

checkpoint_model

string

Checkpoint Model

Default: "Aniverse.safetensors"

input_prompt

*string

Shift + Return to add a new line

Prompt

negative_prompt

string

Shift + Return to add a new line

lowres, worst quality, ugly, blurry, bad fingerslowres, worst quality, ugly, blurry, bad fingers

Negative Prompt

Default: "lowres, worst quality, ugly, blurry, bad fingers"

steps

integer

(minimum: 1, maximum: 100)

Inference Steps

Default: 25

sampler_name

string

Sampler Name

Default: "dpmpp_2m"

seed

integer

Sampling seed, leave Empty for Random

cfg

number

(minimum: 1, maximum: 20)

CFG Scale

Default: 5

lora

string

LoRA Model

custom_lora

file

Insert URL to LoRA file (.safetensors)

lora_strength

number

(minimum: 0, maximum: 1)

LoRA Model

Default: 1

width

integer

Image Width

Default: 720

height

integer

Image Height

Default: 1080

batch_size

integer

(minimum: 1, maximum: 4)

Batch Size

Default: 1

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

npx create-replicate --model=bryantanjw/entropy-lol

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";
import fs from "node:fs";

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

Run bryantanjw/entropy-lol using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "bryantanjw/entropy-lol:559484629bd983b53ae35f590a4638f3a1323da8a41e8a407841b07a73d5fb01",
  {
    input: {
      cfg: 5,
      lora: "gaming/Ahri.safetensors",
      steps: 25,
      width: 720,
      height: 1080,
      batch_size: 1,
      sampler_name: "dpmpp_2m",
      lora_strength: 1,
      negative_prompt: "lowres, worst quality, ugly, blurry, bad fingers",
      checkpoint_model: "Aniverse.safetensors"
    }
  }
);

// 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 bryantanjw/entropy-lol using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "bryantanjw/entropy-lol:559484629bd983b53ae35f590a4638f3a1323da8a41e8a407841b07a73d5fb01",
    input={
        "cfg": 5,
        "lora": "gaming/Ahri.safetensors",
        "steps": 25,
        "width": 720,
        "height": 1080,
        "batch_size": 1,
        "sampler_name": "dpmpp_2m",
        "lora_strength": 1,
        "negative_prompt": "lowres, worst quality, ugly, blurry, bad fingers",
        "checkpoint_model": "Aniverse.safetensors"
    }
)
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 bryantanjw/entropy-lol 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": "bryantanjw/entropy-lol:559484629bd983b53ae35f590a4638f3a1323da8a41e8a407841b07a73d5fb01",
    "input": {
      "cfg": 5,
      "lora": "gaming/Ahri.safetensors",
      "steps": 25,
      "width": 720,
      "height": 1080,
      "batch_size": 1,
      "sampler_name": "dpmpp_2m",
      "lora_strength": 1,
      "negative_prompt": "lowres, worst quality, ugly, blurry, bad fingers",
      "checkpoint_model": "Aniverse.safetensors"
    }
  }' \
  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/bryantanjw/entropy-lol@sha256:559484629bd983b53ae35f590a4638f3a1323da8a41e8a407841b07a73d5fb01 \
  -i 'cfg=5' \
  -i 'lora="gaming/Ahri.safetensors"' \
  -i 'steps=25' \
  -i 'width=720' \
  -i 'height=1080' \
  -i 'batch_size=1' \
  -i 'sampler_name="dpmpp_2m"' \
  -i 'lora_strength=1' \
  -i 'negative_prompt="lowres, worst quality, ugly, blurry, bad fingers"' \
  -i 'checkpoint_model="Aniverse.safetensors"'

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/bryantanjw/entropy-lol@sha256:559484629bd983b53ae35f590a4638f3a1323da8a41e8a407841b07a73d5fb01
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "cfg": 5,
      "lora": "gaming/Ahri.safetensors",
      "steps": 25,
      "width": 720,
      "height": 1080,
      "batch_size": 1,
      "sampler_name": "dpmpp_2m",
      "lora_strength": 1,
      "negative_prompt": "lowres, worst quality, ugly, blurry, bad fingers",
      "checkpoint_model": "Aniverse.safetensors"
    }
  }' \
  http://localhost:5000/predictions

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

Output

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