zsxkib/instant-id:c98b2e7a – Run with an API on Replicate

Version

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zsxkib /instant-id:c98b2e7a

Playground API

Input

image

*file

Input image

prompt

string

Shift + Return to add a new line

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

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

Input Negative Prompt

Default: ""

sdxl_weights

string

Pick which base weights you want to use

Default: "stable-diffusion-xl-base-1.0"

width

integer

(minimum: 512, maximum: 2048)

Width of output image

Default: 640

height

integer

(minimum: 512, maximum: 2048)

Height of output image

Default: 640

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 30

guidance_scale

number

(minimum: 1, maximum: 50)

Scale for classifier-free guidance

Default: 5

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

disable_safety_checker

boolean

Disable safety checker for generated images

Default: false

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

npx create-replicate --model=zsxkib/instant-id

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";

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

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

const output = await replicate.run(
  "zsxkib/instant-id:c98b2e7a196828d00955767813b81fc05c5c9b294c670c6d147d545fed4ceecf",
  {
    input: {
      width: 640,
      height: 640,
      prompt: "analog film photo of a man. faded film, desaturated, 35mm photo, grainy, vignette, vintage, Kodachrome, Lomography, stained, highly detailed, found footage, masterpiece, best quality",
      sdxl_weights: "stable-diffusion-xl-base-1.0",
      guidance_scale: 5,
      negative_prompt: "",
      ip_adapter_scale: 0.8,
      num_inference_steps: 30,
      controlnet_conditioning_scale: 0.8
    }
  }
);
console.log(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 zsxkib/instant-id using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zsxkib/instant-id:c98b2e7a196828d00955767813b81fc05c5c9b294c670c6d147d545fed4ceecf",
    input={
        "width": 640,
        "height": 640,
        "prompt": "analog film photo of a man. faded film, desaturated, 35mm photo, grainy, vignette, vintage, Kodachrome, Lomography, stained, highly detailed, found footage, masterpiece, best quality",
        "sdxl_weights": "stable-diffusion-xl-base-1.0",
        "guidance_scale": 5,
        "negative_prompt": "",
        "ip_adapter_scale": 0.8,
        "num_inference_steps": 30,
        "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 zsxkib/instant-id 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": "c98b2e7a196828d00955767813b81fc05c5c9b294c670c6d147d545fed4ceecf",
    "input": {
      "width": 640,
      "height": 640,
      "prompt": "analog film photo of a man. faded film, desaturated, 35mm photo, grainy, vignette, vintage, Kodachrome, Lomography, stained, highly detailed, found footage, masterpiece, best quality",
      "sdxl_weights": "stable-diffusion-xl-base-1.0",
      "guidance_scale": 5,
      "negative_prompt": "",
      "ip_adapter_scale": 0.8,
      "num_inference_steps": 30,
      "controlnet_conditioning_scale": 0.8
    }
  }' \
  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/zsxkib/instant-id@sha256:c98b2e7a196828d00955767813b81fc05c5c9b294c670c6d147d545fed4ceecf \
  -i 'width=640' \
  -i 'height=640' \
  -i 'prompt="analog film photo of a man. faded film, desaturated, 35mm photo, grainy, vignette, vintage, Kodachrome, Lomography, stained, highly detailed, found footage, masterpiece, best quality"' \
  -i 'sdxl_weights="stable-diffusion-xl-base-1.0"' \
  -i 'guidance_scale=5' \
  -i 'negative_prompt=""' \
  -i 'ip_adapter_scale=0.8' \
  -i 'num_inference_steps=30' \
  -i 'controlnet_conditioning_scale=0.8'

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/zsxkib/instant-id@sha256:c98b2e7a196828d00955767813b81fc05c5c9b294c670c6d147d545fed4ceecf
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 640,
      "height": 640,
      "prompt": "analog film photo of a man. faded film, desaturated, 35mm photo, grainy, vignette, vintage, Kodachrome, Lomography, stained, highly detailed, found footage, masterpiece, best quality",
      "sdxl_weights": "stable-diffusion-xl-base-1.0",
      "guidance_scale": 5,
      "negative_prompt": "",
      "ip_adapter_scale": 0.8,
      "num_inference_steps": 30,
      "controlnet_conditioning_scale": 0.8
    }
  }' \
  http://localhost:5000/predictions

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

Output

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