prompthunt/swap_mask | Run with an API on Replicate

prompthunt / swap_mask

(Updated 1 year, 6 months ago)

Cold

Public
322 runs
A100 (80GB)

Run with an API

Playground API Examples README Versions

Input

weights

string

Shift + Return to add a new line

Weights url

control_image

file

Optional Image to use for guidance based on posenet

image

file

Optional Image to use for img2img guidance

prompt

string

Shift + Return to add a new line

Input prompt

Default: "photo of cjw person"

root_prompt

string

Shift + Return to add a new line

Root prompt

negative_prompt

string

Shift + Return to add a new line

Specify things to not see in the output. Supported embeddings: realisticvision-negative-embedding, cyberrealistic-neg, EasyNegative, FastNegativeV2, negative-hand, BadDream, UnrealisticDream, badhandv4

Default: ""

width

integer

Width of output image

Default: 512

height

integer

Height of output image

Default: 768

num_outputs

integer

(minimum: 1, maximum: 40)

Number of images to output.

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 20

guidance_scale

number

(minimum: 1, maximum: 50)

Scale for classifier-free guidance

Default: 7.5

prompt_strength

number

(minimum: 0, maximum: 1)

Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image

Default: 0.8

pose_strength

number

(minimum: 0, maximum: 1)

Pose strength

Default: 0.75

scheduler

string

Choose a scheduler.

Default: "DPM++SDEKarras"

seed

integer

Random seed. Leave blank to randomize the seed

source_image

file

Source image for face swap

show_debug_images

boolean

Show debug images

Default: false

upscale_final_size

integer

Upscale final size multiplier

Default: 4

upscale_fidelity

number

Upscale codeformer fidelity

Default: 0.7

upscale_background_enhance

boolean

Upscale background enhance

Default: true

upscale_face_upsample

boolean

Upscale face upsample

Default: true

use_new_vae

boolean

Use new vae

Default: false

second_pass_strength

number

Second pass strength

Default: 0.8

second_pass_guidance_scale

number

Second pass guidance scale

Default: 7.5

second_pass_steps

integer

Second pass steps

Default: 40

third_pass_strength

number

Second pass strength

Default: 0.5

third_pass_guidance_scale

number

Second pass guidance scale

Default: 3

third_pass_steps

integer

Second pass steps

Default: 40

control_image_2

file

Optional Image to use for guidance based on posenet

control_image_3

file

Optional Image to use for guidance based on posenet

control_image_4

file

Optional Image to use for guidance based on posenet

prompt_2

string

Shift + Return to add a new line

Input prompt

prompt_3

string

Shift + Return to add a new line

Input prompt

prompt_4

string

Shift + Return to add a new line

Input prompt

image_2

file

Optional Image to use for img2img guidance

image_3

file

Optional Image to use for img2img guidance

image_4

file

Optional Image to use for img2img guidance

prompt_strength_2

number

(minimum: 0, maximum: 1)

Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image

Default: 0.8

prompt_strength_3

number

(minimum: 0, maximum: 1)

Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image

Default: 0.8

prompt_strength_4

number

(minimum: 0, maximum: 1)

Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image

Default: 0.8

source_image_2

file

Source image for face swap

source_image_3

file

Source image for face swap

source_image_4

file

Source image for face swap

source_image_5

file

Source image for face swap

source_image_6

file

Source image for face swap

source_image_7

file

Source image for face swap

source_image_8

file

Source image for face swap

source_image_9

file

Source image for face swap

source_image_10

file

Source image for face swap

source_image_11

file

Source image for face swap

source_image_12

file

Source image for face swap

source_image_13

file

Source image for face swap

source_image_14

file

Source image for face swap

source_image_15

file

Source image for face swap

disable_cn_second_pass

boolean

Disable controlnet second pass

Default: false

use_tile

boolean

Use tile

Default: false

cf_acc_id

string

Shift + Return to add a new line

Cloudflare account ID

cf_api_key

string

Shift + Return to add a new line

Cloudflare API key

mask_blur_amount

number

Amount of blur to apply to the mask.

Default: 8

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

npx create-replicate --model=prompthunt/swap_mask

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 prompthunt/swap_mask using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "prompthunt/swap_mask:d7ce2743edb2d03f90fefb5a0193987d48778f686d9b5de6009993cfdd199966",
  {
    input: {
      width: 512,
      height: 768,
      prompt: "photo of cjw person",
      use_tile: false,
      scheduler: "DPM++SDEKarras",
      num_outputs: 1,
      use_new_vae: false,
      pose_strength: 0.75,
      guidance_scale: 7.5,
      negative_prompt: "",
      prompt_strength: 0.8,
      mask_blur_amount: 8,
      third_pass_steps: 40,
      upscale_fidelity: 0.7,
      prompt_strength_2: 0.8,
      prompt_strength_3: 0.8,
      prompt_strength_4: 0.8,
      second_pass_steps: 40,
      show_debug_images: false,
      upscale_final_size: 4,
      num_inference_steps: 20,
      third_pass_strength: 0.5,
      second_pass_strength: 0.8,
      upscale_face_upsample: true,
      disable_cn_second_pass: false,
      third_pass_guidance_scale: 3,
      second_pass_guidance_scale: 7.5,
      upscale_background_enhance: true
    }
  }
);

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 prompthunt/swap_mask using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "prompthunt/swap_mask:d7ce2743edb2d03f90fefb5a0193987d48778f686d9b5de6009993cfdd199966",
    input={
        "width": 512,
        "height": 768,
        "prompt": "photo of cjw person",
        "use_tile": False,
        "scheduler": "DPM++SDEKarras",
        "num_outputs": 1,
        "use_new_vae": False,
        "pose_strength": 0.75,
        "guidance_scale": 7.5,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "mask_blur_amount": 8,
        "third_pass_steps": 40,
        "upscale_fidelity": 0.7,
        "prompt_strength_2": 0.8,
        "prompt_strength_3": 0.8,
        "prompt_strength_4": 0.8,
        "second_pass_steps": 40,
        "show_debug_images": False,
        "upscale_final_size": 4,
        "num_inference_steps": 20,
        "third_pass_strength": 0.5,
        "second_pass_strength": 0.8,
        "upscale_face_upsample": True,
        "disable_cn_second_pass": False,
        "third_pass_guidance_scale": 3,
        "second_pass_guidance_scale": 7.5,
        "upscale_background_enhance": True
    }
)
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 prompthunt/swap_mask 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": "prompthunt/swap_mask:d7ce2743edb2d03f90fefb5a0193987d48778f686d9b5de6009993cfdd199966",
    "input": {
      "width": 512,
      "height": 768,
      "prompt": "photo of cjw person",
      "use_tile": false,
      "scheduler": "DPM++SDEKarras",
      "num_outputs": 1,
      "use_new_vae": false,
      "pose_strength": 0.75,
      "guidance_scale": 7.5,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "mask_blur_amount": 8,
      "third_pass_steps": 40,
      "upscale_fidelity": 0.7,
      "prompt_strength_2": 0.8,
      "prompt_strength_3": 0.8,
      "prompt_strength_4": 0.8,
      "second_pass_steps": 40,
      "show_debug_images": false,
      "upscale_final_size": 4,
      "num_inference_steps": 20,
      "third_pass_strength": 0.5,
      "second_pass_strength": 0.8,
      "upscale_face_upsample": true,
      "disable_cn_second_pass": false,
      "third_pass_guidance_scale": 3,
      "second_pass_guidance_scale": 7.5,
      "upscale_background_enhance": true
    }
  }' \
  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.

Run time and cost

This model runs on Nvidia A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.