aisha-ai-official/anillustrious-v2 | Run with an API on Replicate

aisha-ai-official / anillustrious-v2

A good anime merge from 12 other models (Updated 3 months, 3 weeks ago)

Cold

Public
1.2K runs
L40S
Weights
License

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

model

string

The model to use

Default: "Anillustrious-v2"

vae

string

The VAE to use

Default: "default"

prompt

string

Shift + Return to add a new line

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

The prompt, uses Compel weighting syntax

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

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"

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: 7

guidance_rescale

number

(minimum: 0, maximum: 5)

The amount to rescale CFG generated noise to avoid generating overexposed images, set to 0 or 1 to disable

Default: 0.5

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

prepend_preprompt

boolean

Prepend preprompt (Prompt: "8k resolution, high definition, extremely detailed, masterpiece, best quality, " Negative prompt: "low resolution, lowres, bad anatomy, bad hands, missing fingers, worst quality, low quality, normal quality, poor quality, ")

Default: true

scheduler

string

The scheduler to use

Default: "Euler a"

steps

integer

(minimum: 1, maximum: 100)

The steps when generating

Default: 30

batch_size

integer

(minimum: 1, maximum: 4)

Number of images to generate (1-4), note if you set this to 4, some high resolution gens might fail because of not enough VRAM

Default: 1

seed

integer

The seed used when generating, set to -1 for random seed

Default: -1

Including pag_scale and 1 more...

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

npx create-replicate --model=aisha-ai-official/anillustrious-v2

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 aisha-ai-official/anillustrious-v2 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/anillustrious-v2:9071f3d8eea9c5d3d68c9025ad3e2284928ba16252d991c3e384b1fa0ed1fecb",
  {
    input: {
      vae: "default",
      seed: -1,
      model: "Anillustrious-v2",
      steps: 30,
      width: 1024,
      height: 1024,
      prompt: "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V",
      cfg_scale: 7,
      clip_skip: 2,
      pag_scale: 3,
      scheduler: "Euler a",
      batch_size: 1,
      negative_prompt: "nsfw, naked",
      guidance_rescale: 0.5,
      prepend_preprompt: 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 aisha-ai-official/anillustrious-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "aisha-ai-official/anillustrious-v2:9071f3d8eea9c5d3d68c9025ad3e2284928ba16252d991c3e384b1fa0ed1fecb",
    input={
        "vae": "default",
        "seed": -1,
        "model": "Anillustrious-v2",
        "steps": 30,
        "width": 1024,
        "height": 1024,
        "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V",
        "cfg_scale": 7,
        "clip_skip": 2,
        "pag_scale": 3,
        "scheduler": "Euler a",
        "batch_size": 1,
        "negative_prompt": "nsfw, naked",
        "guidance_rescale": 0.5,
        "prepend_preprompt": 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 aisha-ai-official/anillustrious-v2 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": "aisha-ai-official/anillustrious-v2:9071f3d8eea9c5d3d68c9025ad3e2284928ba16252d991c3e384b1fa0ed1fecb",
    "input": {
      "vae": "default",
      "seed": -1,
      "model": "Anillustrious-v2",
      "steps": 30,
      "width": 1024,
      "height": 1024,
      "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V",
      "cfg_scale": 7,
      "clip_skip": 2,
      "pag_scale": 3,
      "scheduler": "Euler a",
      "batch_size": 1,
      "negative_prompt": "nsfw, naked",
      "guidance_rescale": 0.5,
      "prepend_preprompt": true
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "completed_at": "2025-02-19T23:54:28.700400Z",
  "created_at": "2025-02-19T23:51:40.729000Z",
  "data_removed": false,
  "error": null,
  "id": "3vgh0senq5rma0cn42ft98ddwm",
  "input": {
    "vae": "default",
    "seed": -1,
    "model": "Anillustrious-v2",
    "steps": 30,
    "width": 1024,
    "height": 1024,
    "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V",
    "cfg_scale": 7,
    "clip_skip": 2,
    "pag_scale": 3,
    "scheduler": "Euler a",
    "batch_size": 1,
    "negative_prompt": "nsfw, naked",
    "guidance_rescale": 0.5,
    "prepend_preprompt": true
  },
  "logs": "Using text to image mode.\nUsing seed: 1377029757\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:07,  4.13it/s]\n 10%|█         | 3/30 [00:00<00:03,  7.02it/s]\n 13%|█▎        | 4/30 [00:00<00:03,  6.94it/s]\n 17%|█▋        | 5/30 [00:00<00:03,  6.90it/s]\n 20%|██        | 6/30 [00:00<00:03,  6.88it/s]\n 23%|██▎       | 7/30 [00:01<00:03,  6.86it/s]\n 27%|██▋       | 8/30 [00:01<00:03,  6.84it/s]\n 30%|███       | 9/30 [00:01<00:03,  6.82it/s]\n 33%|███▎      | 10/30 [00:01<00:02,  6.82it/s]\n 37%|███▋      | 11/30 [00:01<00:02,  6.82it/s]\n 40%|████      | 12/30 [00:01<00:02,  6.82it/s]\n 43%|████▎     | 13/30 [00:01<00:02,  6.82it/s]\n 47%|████▋     | 14/30 [00:02<00:02,  6.81it/s]\n 50%|█████     | 15/30 [00:02<00:02,  6.80it/s]\n 53%|█████▎    | 16/30 [00:02<00:02,  6.81it/s]\n 57%|█████▋    | 17/30 [00:02<00:01,  6.80it/s]\n 60%|██████    | 18/30 [00:02<00:01,  6.80it/s]\n 63%|██████▎   | 19/30 [00:02<00:01,  6.80it/s]\n 67%|██████▋   | 20/30 [00:02<00:01,  6.79it/s]\n 70%|███████   | 21/30 [00:03<00:01,  6.78it/s]\n 73%|███████▎  | 22/30 [00:03<00:01,  6.77it/s]\n 77%|███████▋  | 23/30 [00:03<00:01,  6.77it/s]\n 80%|████████  | 24/30 [00:03<00:00,  6.77it/s]\n 83%|████████▎ | 25/30 [00:03<00:00,  6.76it/s]\n 87%|████████▋ | 26/30 [00:03<00:00,  6.76it/s]\n 90%|█████████ | 27/30 [00:03<00:00,  6.76it/s]\n 93%|█████████▎| 28/30 [00:04<00:00,  6.76it/s]\n 97%|█████████▋| 29/30 [00:04<00:00,  6.76it/s]\n100%|██████████| 30/30 [00:04<00:00,  6.76it/s]\n100%|██████████| 30/30 [00:04<00:00,  6.76it/s]",
  "metrics": {
    "predict_time": 6.5046676869999995,
    "total_time": 167.9714
  },
  "output": [
    "https://replicate.delivery/xezq/sLNW0e2q2xxYIqLohAbPnGEssUGFm1xYs5kXuUr4LwOaChIKA/0.png"
  ],
  "started_at": "2025-02-19T23:54:22.195732Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-5hyac35in5ts6xqn7wuck6lja6zf4cyma5st55jroix3dvr6dnya",
    "get": "https://api.replicate.com/v1/predictions/3vgh0senq5rma0cn42ft98ddwm",
    "cancel": "https://api.replicate.com/v1/predictions/3vgh0senq5rma0cn42ft98ddwm/cancel"
  },
  "version": "9071f3d8eea9c5d3d68c9025ad3e2284928ba16252d991c3e384b1fa0ed1fecb"
}

Generated in

6.5 seconds

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Examples

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Run time and cost

This model costs approximately $0.0040 to run on Replicate, or 250 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 5 seconds.

Readme

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