underthestar2021/test | Run with an API on Replicate

underthestar2021 / test

(Updated 1 year, 8 months ago)

Cold

Public
57 runs
T4

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

face_image

file

Input face image

remark

string

Shift + Return to add a new line

备注项，随便填

prompt

string

Shift + Return to add a new line

a photo of an astronaut riding a horse on marsa photo of an astronaut riding a horse on mars

Input prompt

Default: "a photo of an astronaut riding a horse on mars"

controlnet_enable

boolean

是否启用Controlnet

Default: true

controlnet_conditioning_scale

number

(minimum: 0, maximum: 2)

Control Weight

Default: 1

cross_attention_scale

number

lora权重，区间0-1. A scale value of 0 is the same as not using your LoRA weights and you’re only using the base model weights, and a scale value of 1 means you’re only using the fully fine-tuned LoRA weights.

Default: 0.8

lora_model

string

An enumeration.

lora_model_extra_url

string

Shift + Return to add a new line

测试lora时使用；lora模型的下载地址，如果填写会复盖掉lora_model参数

seed

integer

Random seed. Leave blank to randomize the seed

prompt_strength

number

(minimum: 0, maximum: 1)

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

Default: 0.7

pipe_type

string

画图类型，文生图还是图生图。不可以选空

Default: "txt2img"

swap_face_enable

boolean

是否使用swap_face(roop的换脸功能),默认True

Default: true

negative_prompt

string

Shift + Return to add a new line

Specify things to not see in the output

face_analyze

string

Shift + Return to add a new line

deepface人脸信息识别，用逗号分隔的字符串. 举例: gender,race,age,emotion

restore_face_enable

boolean

是否使用restore_face,默认True

Default: true

face_editor_enable

boolean

是否使用face editor,默认False

Default: false

face_editor_strength1

number

(minimum: 0.1, maximum: 0.8)

Step 0.05, face editor, denoising strength for face images, sdwebui:(3) Recreate the Faces

Default: 0.4

face_editor_strength2

number

(minimum: 0, maximum: 1)

Step 0.05, face editor, denoising strength for the entire image, sdwebui:(5) Blend the entire image

Default: 0.05

face_editor_mask_size

integer

Face editor mask size

Default: 6

face_editor_mask_blur

integer

Face editor mask blur

Default: 12

face_editor_confidence

number

(minimum: 0.7, maximum: 1)

Confidence threshold for face detection. Set a lower value if you want to detect more faces.

Default: 0.97

clip_skip

integer

(minimum: 1)

Default: 2

target_width

integer

(minimum: 1, maximum: 1024)

Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits

Default: 512

target_height

integer

(minimum: 1, maximum: 1024)

Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits

Default: 700

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 26

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 7.5

scheduler

string

Choose a scheduler.

Default: "DPM++ SDE Karras"

canny_low_threshold

integer

(minimum: 1, maximum: 255)

Canny line detection low threshold

Default: 100

canny_high_threshold

integer

(minimum: 1, maximum: 255)

Canny line detection high threshold

Default: 200

control_guidance_start

number

(minimum: 0, maximum: 1)

The percentage of total steps at which the controlnet starts applying

Default: 0

control_guidance_end

number

(minimum: 0, maximum: 1)

The percentage of total steps at which the controlnet stops applying

Default: 1

resize_mode

string

fill - The image is resized to fill the given dimension. cover - The image keeps its aspect ratio and fills the given dimension. The image will be clipped to fit. crop - The image keeps its aspect ratio and scales to the target size.

Default: "fill"

restore_face_upscale

integer

(minimum: 1, maximum: 4)

Restore face upscaling

Default: 1

restore_face_upsample

boolean

Restore face upsampling

Default: true

restore_face_background_enhance

boolean

Restore face background enhance

Default: true

codeformer_fidelity

number

(minimum: 0, maximum: 1)

Codeformer fidelity

Default: 0.7

uid

string

Shift + Return to add a new line

Unique identifier for this run. Will be used in callback.

task_id

string

Shift + Return to add a new line

Task ID for this run. Will be used in callback.

firebase_api_version

integer

api version

Default: 4

on_process_callback

string

Shift + Return to add a new line

Process callback URL for this .

complete_callback

string

Shift + Return to add a new line

Complete callback URL for this run.

callback_steps

integer

(minimum: 1, maximum: 100)

Callback URL for this run.

Default: 4

show_system_info

boolean

Show system info

Default: false

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

npx create-replicate --model=underthestar2021/test

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 underthestar2021/test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "underthestar2021/test:12c5a78a10253c14a6834596472602b11054e0a6c81aefe6305a508736e27698",
  {
    input: {
      prompt: "a photo of an astronaut riding a horse on mars",
      clip_skip: 2,
      pipe_type: "txt2img",
      scheduler: "DPM++ SDE Karras",
      lora_model: "empty",
      num_outputs: 1,
      resize_mode: "fill",
      target_width: 512,
      target_height: 700,
      callback_steps: 4,
      guidance_scale: 7.5,
      prompt_strength: 0.7,
      show_system_info: false,
      swap_face_enable: true,
      controlnet_enable: true,
      face_editor_enable: false,
      canny_low_threshold: 100,
      codeformer_fidelity: 0.7,
      num_inference_steps: 26,
      restore_face_enable: true,
      canny_high_threshold: 200,
      control_guidance_end: 1,
      firebase_api_version: 4,
      restore_face_upscale: 1,
      cross_attention_scale: 0.8,
      face_editor_mask_blur: 12,
      face_editor_mask_size: 6,
      face_editor_strength1: 0.4,
      face_editor_strength2: 0.05,
      restore_face_upsample: true,
      control_guidance_start: 0,
      face_editor_confidence: 0.97,
      controlnet_conditioning_scale: 1,
      restore_face_background_enhance: true
    }
  }
);

// 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 underthestar2021/test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "underthestar2021/test:12c5a78a10253c14a6834596472602b11054e0a6c81aefe6305a508736e27698",
    input={
        "prompt": "a photo of an astronaut riding a horse on mars",
        "clip_skip": 2,
        "pipe_type": "txt2img",
        "scheduler": "DPM++ SDE Karras",
        "lora_model": "empty",
        "num_outputs": 1,
        "resize_mode": "fill",
        "target_width": 512,
        "target_height": 700,
        "callback_steps": 4,
        "guidance_scale": 7.5,
        "prompt_strength": 0.7,
        "show_system_info": False,
        "swap_face_enable": True,
        "controlnet_enable": True,
        "face_editor_enable": False,
        "canny_low_threshold": 100,
        "codeformer_fidelity": 0.7,
        "num_inference_steps": 26,
        "restore_face_enable": True,
        "canny_high_threshold": 200,
        "control_guidance_end": 1,
        "firebase_api_version": 4,
        "restore_face_upscale": 1,
        "cross_attention_scale": 0.8,
        "face_editor_mask_blur": 12,
        "face_editor_mask_size": 6,
        "face_editor_strength1": 0.4,
        "face_editor_strength2": 0.05,
        "restore_face_upsample": True,
        "control_guidance_start": 0,
        "face_editor_confidence": 0.97,
        "controlnet_conditioning_scale": 1,
        "restore_face_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 underthestar2021/test 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": "underthestar2021/test:12c5a78a10253c14a6834596472602b11054e0a6c81aefe6305a508736e27698",
    "input": {
      "prompt": "a photo of an astronaut riding a horse on mars",
      "clip_skip": 2,
      "pipe_type": "txt2img",
      "scheduler": "DPM++ SDE Karras",
      "lora_model": "empty",
      "num_outputs": 1,
      "resize_mode": "fill",
      "target_width": 512,
      "target_height": 700,
      "callback_steps": 4,
      "guidance_scale": 7.5,
      "prompt_strength": 0.7,
      "show_system_info": false,
      "swap_face_enable": true,
      "controlnet_enable": true,
      "face_editor_enable": false,
      "canny_low_threshold": 100,
      "codeformer_fidelity": 0.7,
      "num_inference_steps": 26,
      "restore_face_enable": true,
      "canny_high_threshold": 200,
      "control_guidance_end": 1,
      "firebase_api_version": 4,
      "restore_face_upscale": 1,
      "cross_attention_scale": 0.8,
      "face_editor_mask_blur": 12,
      "face_editor_mask_size": 6,
      "face_editor_strength1": 0.4,
      "face_editor_strength2": 0.05,
      "restore_face_upsample": true,
      "control_guidance_start": 0,
      "face_editor_confidence": 0.97,
      "controlnet_conditioning_scale": 1,
      "restore_face_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 T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.