dazaleas/sd15-cog:fb141029 | Run with an API on Replicate

Version

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dazaleas /sd15-cog:fb141029

Playground API

Input

model

string

The model to use

Default: "pastelmix.safetensors"

vae

string

The vae to use

Default: "ema_original.pt"

prompt

string

Shift + Return to add a new line

masterpiece, illustration, portrait of a beautiful young womanmasterpiece, illustration, portrait of a beautiful young woman

The prompt

Default: "masterpiece, illustration, portrait of a beautiful young woman"

negative_prompt

string

Shift + Return to add a new line

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

Default: "low quality, bad quality, worst quality"

sampler_name

string

The sampler used when generating

Default: "DPM++ 2M Karras"

steps

integer

(minimum: 1, maximum: 100)

The steps when generating

Default: 35

cfg_scale

number

(minimum: 1, maximum: 20)

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

Default: 7

width

integer

(minimum: 1, maximum: 2048)

The width of the image

Default: 768

height

integer

(minimum: 1, maximum: 2048)

The height of the image

Default: 768

batch_size

integer

(minimum: 1, maximum: 4)

Number of images to generate (1-4)

Default: 1

enable_hr

boolean

Generate high resoultion version

Default: false

hr_scale

integer

(minimum: 1, maximum: 4)

The scale to resize

Default: 2

denoising_strength

number

(minimum: 0, maximum: 1)

The strength when applying denoising

Default: 0.35

hr_second_pass_steps

integer

(minimum: 0, maximum: 30)

The steps when performing second pass

Default: 18

hr_upscaler

string

The upscaler to use when performing second pass

Default: "R-ESRGAN 4x+ Anime6B"

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=dazaleas/sd15-cog

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 dazaleas/sd15-cog using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "dazaleas/sd15-cog:fb1410291a4d3ff1dda51ff5f9c5e9b5a3f00cb83dce77a5134e6c5d51c2c598",
  {
    input: {
      vae: "ema_original.pt",
      seed: -1,
      model: "pastelmix.safetensors",
      steps: 35,
      width: 768,
      height: 768,
      prompt: "masterpiece, illustration, portrait of a beautiful young woman",
      hr_scale: 2,
      cfg_scale: 7,
      enable_hr: false,
      batch_size: 1,
      hr_upscaler: "R-ESRGAN 4x+ Anime6B",
      sampler_name: "DPM++ 2M Karras",
      negative_prompt: "low quality, bad quality, worst quality",
      denoising_strength: 0.35,
      hr_second_pass_steps: 18
    }
  }
);

// 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 dazaleas/sd15-cog using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "dazaleas/sd15-cog:fb1410291a4d3ff1dda51ff5f9c5e9b5a3f00cb83dce77a5134e6c5d51c2c598",
    input={
        "vae": "ema_original.pt",
        "seed": -1,
        "model": "pastelmix.safetensors",
        "steps": 35,
        "width": 768,
        "height": 768,
        "prompt": "masterpiece, illustration, portrait of a beautiful young woman",
        "hr_scale": 2,
        "cfg_scale": 7,
        "enable_hr": False,
        "batch_size": 1,
        "hr_upscaler": "R-ESRGAN 4x+ Anime6B",
        "sampler_name": "DPM++ 2M Karras",
        "negative_prompt": "low quality, bad quality, worst quality",
        "denoising_strength": 0.35,
        "hr_second_pass_steps": 18
    }
)

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

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

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 dazaleas/sd15-cog 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": "dazaleas/sd15-cog:fb1410291a4d3ff1dda51ff5f9c5e9b5a3f00cb83dce77a5134e6c5d51c2c598",
    "input": {
      "vae": "ema_original.pt",
      "seed": -1,
      "model": "pastelmix.safetensors",
      "steps": 35,
      "width": 768,
      "height": 768,
      "prompt": "masterpiece, illustration, portrait of a beautiful young woman",
      "hr_scale": 2,
      "cfg_scale": 7,
      "enable_hr": false,
      "batch_size": 1,
      "hr_upscaler": "R-ESRGAN 4x+ Anime6B",
      "sampler_name": "DPM++ 2M Karras",
      "negative_prompt": "low quality, bad quality, worst quality",
      "denoising_strength": 0.35,
      "hr_second_pass_steps": 18
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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