yan-ops/ai_face_swap:39a5f139 | Run with an API on Replicate

Version

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yan-ops /ai_face_swap:39a5f139

Playground API

Input

source_image

file

source image

request_id

string

Shift + Return to add a new line

request_id

Default: ""

det_thresh

number

det_thresh default 0.1

Default: 0.1

local_source

file

local source image

prompt

*string

Shift + Return to add a new line

prompt

negative_prompt

string

Shift + Return to add a new line

negative_prompt

Default: ""

batch_size

integer

batch_size, default 1

Default: 1

width

integer

width, default 640

Default: 640

height

integer

width, default 800

Default: 800

sampling_steps

integer

sampling_steps, default 7

Default: 7

cfg_scale

number

cfg_scale default 1.8

Default: 1.8

sampling_method

string

sampling_method, default Euler A

Default: "Euler A"

disable_safety_checker

boolean

prompt

Default: true

seed

integer

generator seed

model

string

Shift + Return to add a new line

model, default control_v11p_sd15_openpose

Default: "control_v11p_sd15_openpose"

local_control_image

file

local_control_image

control_image

string

Shift + Return to add a new line

control_image

control_guidance_start

number

control_guidance_start

Default: 0

control_guidance_end

number

control_guidance_start

Default: 1

controlnet_conditioning_scale

number

controlnet_conditioning_scale default 0.3

Default: 0.3

token_merging_ratio

number

token_merging_ratio default 0.5

Default: 0.5

denoising_strength

number

denoising strength default 0.6

Default: 0.6

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

npx create-replicate --model=yan-ops/ai_face_swap

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 yan-ops/ai_face_swap using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "yan-ops/ai_face_swap:39a5f139b5fe7539e46551b54d4fc566656a0acb4c98d6c78fc75f7d4cc61d2a",
  {
    input: {
      model: "control_v11p_sd15_openpose",
      width: 640,
      height: 800,
      cfg_scale: 1.8,
      batch_size: 1,
      det_thresh: 0.1,
      request_id: "",
      sampling_steps: 7,
      negative_prompt: "",
      sampling_method: "Euler A",
      denoising_strength: 0.6,
      token_merging_ratio: 0.5,
      control_guidance_end: 1,
      control_guidance_start: 0,
      controlnet_conditioning_scale: 0.3
    }
  }
);

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 yan-ops/ai_face_swap using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "yan-ops/ai_face_swap:39a5f139b5fe7539e46551b54d4fc566656a0acb4c98d6c78fc75f7d4cc61d2a",
    input={
        "model": "control_v11p_sd15_openpose",
        "width": 640,
        "height": 800,
        "cfg_scale": 1.8,
        "batch_size": 1,
        "det_thresh": 0.1,
        "request_id": "",
        "sampling_steps": 7,
        "negative_prompt": "",
        "sampling_method": "Euler A",
        "denoising_strength": 0.6,
        "token_merging_ratio": 0.5,
        "control_guidance_end": 1,
        "control_guidance_start": 0,
        "controlnet_conditioning_scale": 0.3
    }
)
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 yan-ops/ai_face_swap 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": "yan-ops/ai_face_swap:39a5f139b5fe7539e46551b54d4fc566656a0acb4c98d6c78fc75f7d4cc61d2a",
    "input": {
      "model": "control_v11p_sd15_openpose",
      "width": 640,
      "height": 800,
      "cfg_scale": 1.8,
      "batch_size": 1,
      "det_thresh": 0.1,
      "request_id": "",
      "sampling_steps": 7,
      "negative_prompt": "",
      "sampling_method": "Euler A",
      "denoising_strength": 0.6,
      "token_merging_ratio": 0.5,
      "control_guidance_end": 1,
      "control_guidance_start": 0,
      "controlnet_conditioning_scale": 0.3
    }
  }' \
  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.