aisha-ai-official/projectil-v3:55ca6492 – Run with an API on Replicate

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aisha-ai-official /projectil-v3:55ca6492

Playground API

Input

model

string

The model to use

Default: "ProjectIL-v3"

vae

string

The VAE to use

Default: "default"

prompt_conjunction

boolean

Force Compel conjunction syntax on prompt, separating linebreaks into different items on the Compel conjunction function

Default: false

prompt

string

Shift + Return to add a new line

street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smilestreet, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile

The prompt, uses Compel weighting syntax

Default: "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile"

negative_prompt

string

Shift + Return to add a new line

The negative prompt (for things you don't want), uses Compel weighting syntax

Default: "nsfw, naked"

negative_prompt_conjunction

boolean

Force Compel conjunction syntax on prompt, separating linebreaks into different items on the Compel conjunction function

Default: false

cfg_scale

number

(minimum: 1, maximum: 50)

CFG scale defines how much attention the model pays to the prompt when generating, set to 1 to disable

Default: 5

guidance_rescale

number

(minimum: 0, maximum: 5)

Amount to rescale CFG generated noise to avoid overexposed images, set to 0 or 1 to disable

Default: 0

pag_scale

number

(minimum: 0, maximum: 50)

PAG scale is similar to CFG but improves the result; set to 0 to disable

Default: 0

clip_skip

integer

(minimum: 0)

How many CLIP layers to skip; 1 means no skip

Default: 0

width

integer

(minimum: 1, maximum: 4096)

The width of the image

Default: 1024

height

integer

(minimum: 1, maximum: 4096)

The height of the image

Default: 1024

upscale

string

Upscale factor

Default: "Original"

refiner

boolean

Enable image refiner using model

Default: false

refiner_prompt

string

Shift + Return to add a new line

The prompt of refiner (leave empty for default correct hands and details)

Default: ""

refiner_strength

number

(minimum: 0, maximum: 1)

Refiner strength (0.0 to 1.0)

Default: 0.4

prepend_preprompt

boolean

Prepend preprompt (Prompt: "masterpiece, best quality, absurdres," | Negative prompt: "low quality, bad quality, watermark,")

Default: true

scheduler

string

The scheduler to use

Default: "DPM++ 2M SDE Karras"

steps

integer

(minimum: 1, maximum: 100)

Number of steps when generating

Default: 30

seed

integer

The seed for generation; set to -1 for random seed

Default: -1

adetailer_face

boolean

Use ADetailer face_yolov9c.pt

Default: false

adetailer_face_prompt

string

Shift + Return to add a new line

ADetailer face prompt (if blank, will use the image prompt)

Default: ""

adetailer_face_negative_prompt

string

Shift + Return to add a new line

ADetailer face negative prompt (if blank, will use: blurry, deformed face, extra features, unrealistic skin texture, oversmoothed, low resolution, artifacts)

Default: ""

adetailer_hand

boolean

Use ADetailer hand_yolov9c.pt

Default: false

adetailer_hand_prompt

string

Shift + Return to add a new line

ADetailer hand prompt (if blank, will use: detailed hands, realistic anatomy, well-defined fingers, natural pose, soft shadows, high resolution, intricate details)

Default: ""

adetailer_hand_negative_prompt

string

Shift + Return to add a new line

ADetailer hand negative prompt (if blank, will use: extra fingers, fused or missing fingers, blurry, distorted, low detail, poorly drawn, unnatural proportions)

Default: ""

adetailer_person

boolean

Use ADetailer person_yolov8m-seg.pt

Default: false

adetailer_person_prompt

string

Shift + Return to add a new line

ADetailer person prompt (if blank, will use: best quality, detailed, realistic shadows)

Default: ""

adetailer_person_negative_prompt

string

Shift + Return to add a new line

ADetailer person negative prompt (if blank, will use: deformed, unrealistic proportions, extra limbs, blurred, low quality, distorted pose, exaggerated features)

Default: ""

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

npx create-replicate --model=aisha-ai-official/projectil-v3

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 aisha-ai-official/projectil-v3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "aisha-ai-official/projectil-v3:55ca649276a564dda172aed3cdcde0221bb922ef64bdd1ce5e9adaf001658181",
  {
    input: {
      vae: "default",
      seed: -1,
      model: "ProjectIL-v3",
      steps: 30,
      width: 1024,
      height: 1024,
      prompt: "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile",
      refiner: false,
      upscale: "Original",
      cfg_scale: 5,
      clip_skip: 0,
      pag_scale: 0,
      scheduler: "DPM++ 2M SDE Karras",
      adetailer_face: false,
      adetailer_hand: false,
      refiner_prompt: "",
      negative_prompt: "nsfw, naked",
      adetailer_person: false,
      guidance_rescale: 0,
      refiner_strength: 0.4,
      prepend_preprompt: true,
      prompt_conjunction: false,
      adetailer_face_prompt: "",
      adetailer_hand_prompt: "",
      adetailer_person_prompt: "",
      negative_prompt_conjunction: false,
      adetailer_face_negative_prompt: "",
      adetailer_hand_negative_prompt: "",
      adetailer_person_negative_prompt: ""
    }
  }
);
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 aisha-ai-official/projectil-v3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "aisha-ai-official/projectil-v3:55ca649276a564dda172aed3cdcde0221bb922ef64bdd1ce5e9adaf001658181",
    input={
        "vae": "default",
        "seed": -1,
        "model": "ProjectIL-v3",
        "steps": 30,
        "width": 1024,
        "height": 1024,
        "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile",
        "refiner": False,
        "upscale": "Original",
        "cfg_scale": 5,
        "clip_skip": 0,
        "pag_scale": 0,
        "scheduler": "DPM++ 2M SDE Karras",
        "adetailer_face": False,
        "adetailer_hand": False,
        "refiner_prompt": "",
        "negative_prompt": "nsfw, naked",
        "adetailer_person": False,
        "guidance_rescale": 0,
        "refiner_strength": 0.4,
        "prepend_preprompt": True,
        "prompt_conjunction": False,
        "adetailer_face_prompt": "",
        "adetailer_hand_prompt": "",
        "adetailer_person_prompt": "",
        "negative_prompt_conjunction": False,
        "adetailer_face_negative_prompt": "",
        "adetailer_hand_negative_prompt": "",
        "adetailer_person_negative_prompt": ""
    }
)
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 aisha-ai-official/projectil-v3 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": "55ca649276a564dda172aed3cdcde0221bb922ef64bdd1ce5e9adaf001658181",
    "input": {
      "vae": "default",
      "seed": -1,
      "model": "ProjectIL-v3",
      "steps": 30,
      "width": 1024,
      "height": 1024,
      "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile",
      "refiner": false,
      "upscale": "Original",
      "cfg_scale": 5,
      "clip_skip": 0,
      "pag_scale": 0,
      "scheduler": "DPM++ 2M SDE Karras",
      "adetailer_face": false,
      "adetailer_hand": false,
      "refiner_prompt": "",
      "negative_prompt": "nsfw, naked",
      "adetailer_person": false,
      "guidance_rescale": 0,
      "refiner_strength": 0.4,
      "prepend_preprompt": true,
      "prompt_conjunction": false,
      "adetailer_face_prompt": "",
      "adetailer_hand_prompt": "",
      "adetailer_person_prompt": "",
      "negative_prompt_conjunction": false,
      "adetailer_face_negative_prompt": "",
      "adetailer_hand_negative_prompt": "",
      "adetailer_person_negative_prompt": ""
    }
  }' \
  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/aisha-ai-official/projectil-v3@sha256:55ca649276a564dda172aed3cdcde0221bb922ef64bdd1ce5e9adaf001658181 \
  -i 'vae="default"' \
  -i 'seed=-1' \
  -i 'model="ProjectIL-v3"' \
  -i 'steps=30' \
  -i 'width=1024' \
  -i 'height=1024' \
  -i 'prompt="street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile"' \
  -i 'refiner=false' \
  -i 'upscale="Original"' \
  -i 'cfg_scale=5' \
  -i 'clip_skip=0' \
  -i 'pag_scale=0' \
  -i 'scheduler="DPM++ 2M SDE Karras"' \
  -i 'adetailer_face=false' \
  -i 'adetailer_hand=false' \
  -i 'refiner_prompt=""' \
  -i 'negative_prompt="nsfw, naked"' \
  -i 'adetailer_person=false' \
  -i 'guidance_rescale=0' \
  -i 'refiner_strength=0.4' \
  -i 'prepend_preprompt=true' \
  -i 'prompt_conjunction=false' \
  -i 'adetailer_face_prompt=""' \
  -i 'adetailer_hand_prompt=""' \
  -i 'adetailer_person_prompt=""' \
  -i 'negative_prompt_conjunction=false' \
  -i 'adetailer_face_negative_prompt=""' \
  -i 'adetailer_hand_negative_prompt=""' \
  -i 'adetailer_person_negative_prompt=""'

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/aisha-ai-official/projectil-v3@sha256:55ca649276a564dda172aed3cdcde0221bb922ef64bdd1ce5e9adaf001658181
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "vae": "default",
      "seed": -1,
      "model": "ProjectIL-v3",
      "steps": 30,
      "width": 1024,
      "height": 1024,
      "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile",
      "refiner": false,
      "upscale": "Original",
      "cfg_scale": 5,
      "clip_skip": 0,
      "pag_scale": 0,
      "scheduler": "DPM++ 2M SDE Karras",
      "adetailer_face": false,
      "adetailer_hand": false,
      "refiner_prompt": "",
      "negative_prompt": "nsfw, naked",
      "adetailer_person": false,
      "guidance_rescale": 0,
      "refiner_strength": 0.4,
      "prepend_preprompt": true,
      "prompt_conjunction": false,
      "adetailer_face_prompt": "",
      "adetailer_hand_prompt": "",
      "adetailer_person_prompt": "",
      "negative_prompt_conjunction": false,
      "adetailer_face_negative_prompt": "",
      "adetailer_hand_negative_prompt": "",
      "adetailer_person_negative_prompt": ""
    }
  }' \
  http://localhost:5000/predictions

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

Output

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