viktorfa/instant-id-multicontrolnet-multiple-images:db1effbd

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viktorfa /instant-id-multicontrolnet-multiple-images:db1effbd

Playground API

Input

face_image_path

*file

Image of your face

face_image_path2

file

Image of your face

face_image_path3

file

Image of your face

face_image_path4

file

Image of your face

pose_image_path

file

Reference pose image

prompt

string

Shift + Return to add a new line

Input prompt

Default: "a person"

negative_prompt

string

Shift + Return to add a new line

(lowres, low quality, worst quality:1.2), (text:1.2), watermark, glitch, deformed, mutated, cross-eyed, ugly, disfigured, blurry, grainy(lowres, low quality, worst quality:1.2), (text:1.2), watermark, glitch, deformed, mutated, cross-eyed, ugly, disfigured, blurry, grainy

Input negative prompt

Default: "(lowres, low quality, worst quality:1.2), (text:1.2), watermark, glitch, deformed, mutated, cross-eyed, ugly, disfigured, blurry, grainy"

model

string

Select SDXL model

Default: "RealVisXL V4.0"

enable_fast_mode

boolean

Enable SDXL-lightning fast inference. If pose, canny or depth map is used, disable it for better quality images.

Default: false

lightning_steps

string

if enable fast mode, choose number of denoising steps

Default: "4step"

scheduler

string

Scheduler options. If enable fast mode, this is not used.

Default: "DPMSolverMultistepScheduler-Karras-SDE"

adapter_strength_ratio

number

(minimum: 0, maximum: 1)

Image adapter strength (for detail)

Default: 0.8

identitynet_strength_ratio

number

(minimum: 0, maximum: 1)

IdentityNet strength (for fidelity)

Default: 0.9

pose

boolean

Use pose for skeleton inference

Default: false

pose_strength

number

(minimum: 0, maximum: 1.5)

Default: 1

canny

boolean

Use canny for edge detection

Default: false

canny_strength

number

(minimum: 0, maximum: 1.5)

Default: 0.5

depth_map

boolean

Use depth for depth map estimation

Default: false

depth_strength

number

(minimum: 0, maximum: 1.5)

Default: 0.5

num_steps

integer

(minimum: 1, maximum: 50)

Number of denoising steps. If enable fast mode, this is not used.

Default: 25

guidance_scale

number

(minimum: 0, maximum: 10)

Scale for classifier-free guidance. Optimum is 4-8. If enable fast mode, this is not used.

Default: 7

seed

integer

(minimum: 0, maximum: 2147483647)

Seed number. Set to non-zero to make the image reproducible.

Default: 0

enhance_non_face_region

boolean

Enhance non-face region

Default: true

num_images

integer

(minimum: 1, maximum: 4)

Number of images to generate

Default: 1

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=viktorfa/instant-id-multicontrolnet-multiple-images

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 viktorfa/instant-id-multicontrolnet-multiple-images using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "viktorfa/instant-id-multicontrolnet-multiple-images:db1effbd86009844d863b8eaf8939ba1f26cafd616c5f821a063adb9a09f9cc5",
  {
    input: {
      pose: false,
      seed: 0,
      canny: false,
      model: "RealVisXL V4.0",
      prompt: "a person",
      depth_map: false,
      num_steps: 25,
      scheduler: "DPMSolverMultistepScheduler-Karras-SDE",
      num_images: 1,
      pose_strength: 1,
      canny_strength: 0.5,
      depth_strength: 0.5,
      guidance_scale: 7,
      safety_checker: true,
      lightning_steps: "4step",
      negative_prompt: "(lowres, low quality, worst quality:1.2), (text:1.2), watermark, glitch, deformed, mutated, cross-eyed, ugly, disfigured, blurry, grainy",
      enable_fast_mode: false,
      adapter_strength_ratio: 0.8,
      enhance_non_face_region: true,
      identitynet_strength_ratio: 0.9
    }
  }
);

// 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 viktorfa/instant-id-multicontrolnet-multiple-images using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "viktorfa/instant-id-multicontrolnet-multiple-images:db1effbd86009844d863b8eaf8939ba1f26cafd616c5f821a063adb9a09f9cc5",
    input={
        "pose": False,
        "seed": 0,
        "canny": False,
        "model": "RealVisXL V4.0",
        "prompt": "a person",
        "depth_map": False,
        "num_steps": 25,
        "scheduler": "DPMSolverMultistepScheduler-Karras-SDE",
        "num_images": 1,
        "pose_strength": 1,
        "canny_strength": 0.5,
        "depth_strength": 0.5,
        "guidance_scale": 7,
        "safety_checker": True,
        "lightning_steps": "4step",
        "negative_prompt": "(lowres, low quality, worst quality:1.2), (text:1.2), watermark, glitch, deformed, mutated, cross-eyed, ugly, disfigured, blurry, grainy",
        "enable_fast_mode": False,
        "adapter_strength_ratio": 0.8,
        "enhance_non_face_region": True,
        "identitynet_strength_ratio": 0.9
    }
)

# 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 viktorfa/instant-id-multicontrolnet-multiple-images 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": "viktorfa/instant-id-multicontrolnet-multiple-images:db1effbd86009844d863b8eaf8939ba1f26cafd616c5f821a063adb9a09f9cc5",
    "input": {
      "pose": false,
      "seed": 0,
      "canny": false,
      "model": "RealVisXL V4.0",
      "prompt": "a person",
      "depth_map": false,
      "num_steps": 25,
      "scheduler": "DPMSolverMultistepScheduler-Karras-SDE",
      "num_images": 1,
      "pose_strength": 1,
      "canny_strength": 0.5,
      "depth_strength": 0.5,
      "guidance_scale": 7,
      "safety_checker": true,
      "lightning_steps": "4step",
      "negative_prompt": "(lowres, low quality, worst quality:1.2), (text:1.2), watermark, glitch, deformed, mutated, cross-eyed, ugly, disfigured, blurry, grainy",
      "enable_fast_mode": false,
      "adapter_strength_ratio": 0.8,
      "enhance_non_face_region": true,
      "identitynet_strength_ratio": 0.9
    }
  }' \
  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.