nsfw-api/realvis-hyper-lora:d1344ee9 | Run with an API on Replicate

Version

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nsfw-api /realvis-hyper-lora:d1344ee9

Playground API

Input

prompt

*string

Shift + Return to add a new line

Main text prompt.

negative_prompt

string

Shift + Return to add a new line

Negative prompt.

Default: "lowres, bad anatomy"

reference_image

file

An image containing a face that you want to use as reference for face swapping.

width

integer

(minimum: 64, maximum: 1536)

Default: 768

height

integer

(minimum: 64, maximum: 1536)

Default: 1024

steps

integer

(minimum: 1, maximum: 150)

Default: 30

cfg

number

(minimum: 1, maximum: 20)

Default: 7

sampler_name

string

An enumeration.

Default: "dpmpp_2m_sde"

scheduler

string

An enumeration.

Default: "karras"

seed

integer

0 = random

Default: 0

face_weight

number

(minimum: 0, maximum: 1)

Weight of the face adaptation effect (0.0 to 1.0)

Default: 0.8

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

npx create-replicate --model=nsfw-api/realvis-hyper-lora

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 nsfw-api/realvis-hyper-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "nsfw-api/realvis-hyper-lora:d1344ee917c95da635441e1aa1f1f82b2876f3b98d32c7644bf32e4234f92d43",
  {
    input: {
      cfg: 7,
      seed: 0,
      steps: 30,
      width: 768,
      height: 1024,
      scheduler: "karras",
      face_weight: 0.8,
      sampler_name: "dpmpp_2m_sde",
      negative_prompt: "lowres, bad anatomy"
    }
  }
);

// 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 nsfw-api/realvis-hyper-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "nsfw-api/realvis-hyper-lora:d1344ee917c95da635441e1aa1f1f82b2876f3b98d32c7644bf32e4234f92d43",
    input={
        "cfg": 7,
        "seed": 0,
        "steps": 30,
        "width": 768,
        "height": 1024,
        "scheduler": "karras",
        "face_weight": 0.8,
        "sampler_name": "dpmpp_2m_sde",
        "negative_prompt": "lowres, bad anatomy"
    }
)

# 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 nsfw-api/realvis-hyper-lora 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": "nsfw-api/realvis-hyper-lora:d1344ee917c95da635441e1aa1f1f82b2876f3b98d32c7644bf32e4234f92d43",
    "input": {
      "cfg": 7,
      "seed": 0,
      "steps": 30,
      "width": 768,
      "height": 1024,
      "scheduler": "karras",
      "face_weight": 0.8,
      "sampler_name": "dpmpp_2m_sde",
      "negative_prompt": "lowres, bad anatomy"
    }
  }' \
  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.