tgohblio/instant-id-albedobase-xl:2a2afbff | Run with an API on Replicate

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tgohblio /instant-id-albedobase-xl:2a2afbff

Playground API

Input

image

*file

Input image

prompt

string

Shift + Return to add a new line

photorealistic RAW photo by rob hefferan, fashionista woman wearing gorgeous floral dress with victorian hat, highly detailed skin pores, 4K, sharp focus, deep shadows, beautiful spring season, vibrant small flowers, masterpiecephotorealistic RAW photo by rob hefferan, fashionista woman wearing gorgeous floral dress with victorian hat, highly detailed skin pores, 4K, sharp focus, deep shadows, beautiful spring season, vibrant small flowers, masterpiece

Input prompt

Default: "analog film photo of a man. faded film, desaturated, 35mm photo, grainy, vignette, vintage, Kodachrome, Lomography, stained, highly detailed, found footage, masterpiece, best quality"

negative_prompt

string

Shift + Return to add a new line

amateur quality, vague shapes, vague texture, wrong perspective, wrong angle, ugly, dowdy style, grainyamateur quality, vague shapes, vague texture, wrong perspective, wrong angle, ugly, dowdy style, grainy

Input Negative Prompt

Default: ""

width

integer

(minimum: 512, maximum: 2048)

Width of output image

Default: 640

height

integer

(minimum: 512, maximum: 2048)

Height of output image

Default: 640

ip_adapter_scale

number

(minimum: 0, maximum: 1)

Scale for IP adapter

Default: 0.8

controlnet_conditioning_scale

number

(minimum: 0, maximum: 1)

Scale for ControlNet conditioning

Default: 0.8

num_inference_steps

integer

(minimum: 1, maximum: 30)

Number of denoising steps. With LCM-LoRA, optimum is 6-8.

Default: 6

guidance_scale

number

(minimum: 0, maximum: 10)

Scale for classifier-free guidance. With LCM-LoRA, optimum is 0-5.

Default: 0

safety_checker

boolean

Safety checker is enabled by default. Un-tick to expose unfiltered results.

Default: true

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

npx create-replicate --model=tgohblio/instant-id-albedobase-xl

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 tgohblio/instant-id-albedobase-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tgohblio/instant-id-albedobase-xl:2a2afbff09996b53247b0714577d4ff82d2c9da8e8b00c5499b5b34510bb8b5e",
  {
    input: {
      image: "https://replicate.delivery/pbxt/KIuaBkQJUNjzsAce8hZDbWmKAdOYIhoeCcyA4EBoguEnhjDU/bp_lisa.png",
      width: 640,
      height: 640,
      prompt: "photorealistic RAW photo by rob hefferan, fashionista woman wearing gorgeous floral dress with victorian hat, highly detailed skin pores, 4K, sharp focus, deep shadows, beautiful spring season, vibrant small flowers, masterpiece",
      guidance_scale: 0,
      safety_checker: true,
      negative_prompt: "amateur quality, vague shapes, vague texture, wrong perspective, wrong angle, ugly, dowdy style, grainy",
      ip_adapter_scale: 0.8,
      num_inference_steps: 6,
      controlnet_conditioning_scale: 0.8
    }
  }
);

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

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

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 tgohblio/instant-id-albedobase-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tgohblio/instant-id-albedobase-xl:2a2afbff09996b53247b0714577d4ff82d2c9da8e8b00c5499b5b34510bb8b5e",
    input={
        "image": "https://replicate.delivery/pbxt/KIuaBkQJUNjzsAce8hZDbWmKAdOYIhoeCcyA4EBoguEnhjDU/bp_lisa.png",
        "width": 640,
        "height": 640,
        "prompt": "photorealistic RAW photo by rob hefferan, fashionista woman wearing gorgeous floral dress with victorian hat, highly detailed skin pores, 4K, sharp focus, deep shadows, beautiful spring season, vibrant small flowers, masterpiece",
        "guidance_scale": 0,
        "safety_checker": True,
        "negative_prompt": "amateur quality, vague shapes, vague texture, wrong perspective, wrong angle, ugly, dowdy style, grainy",
        "ip_adapter_scale": 0.8,
        "num_inference_steps": 6,
        "controlnet_conditioning_scale": 0.8
    }
)
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 tgohblio/instant-id-albedobase-xl 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": "tgohblio/instant-id-albedobase-xl:2a2afbff09996b53247b0714577d4ff82d2c9da8e8b00c5499b5b34510bb8b5e",
    "input": {
      "image": "https://replicate.delivery/pbxt/KIuaBkQJUNjzsAce8hZDbWmKAdOYIhoeCcyA4EBoguEnhjDU/bp_lisa.png",
      "width": 640,
      "height": 640,
      "prompt": "photorealistic RAW photo by rob hefferan, fashionista woman wearing gorgeous floral dress with victorian hat, highly detailed skin pores, 4K, sharp focus, deep shadows, beautiful spring season, vibrant small flowers, masterpiece",
      "guidance_scale": 0,
      "safety_checker": true,
      "negative_prompt": "amateur quality, vague shapes, vague texture, wrong perspective, wrong angle, ugly, dowdy style, grainy",
      "ip_adapter_scale": 0.8,
      "num_inference_steps": 6,
      "controlnet_conditioning_scale": 0.8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

14.1 seconds

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