aisha-ai-official/alchemist-mix-illustrious-realism-v4

aisha-ai-official / alchemist-mix-illustrious-realism-v4

Cold

Public
55 runs
L40S
Weights
License

Run with an API

Playground API Examples README Versions

Input

model

string

The model to use

Default: "Alchemist-Mix-Illustrious-Realism-v4"

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: 5

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: 1

pag_scale

number

(minimum: 0, maximum: 50)

PAG scale is similar to CFG but it literally makes the result better, it's compatible with CFG too, set to 0 to disable

Default: 0

clip_skip

integer

(minimum: 1)

How many CLIP layers to skip, 1 is actually no skip, this is the behavior in A1111 so it's aligned to it

Default: 1

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: "DSLR,realistic,cosplay photo, (very awa,masterpiece,best quality,year 2024,newest,absurdres,highres:1), realistic,skin texture,facial features, realistic, RAW, best quality, masterpiece, amazing quality, skin details," Negative prompt: " lowres,worst aesthetic,bad quality,worst quality,bad anatomy,sketch,jpeg artifacts,scan artifacts,lossy-lossless,ugly,poorly drawn, (illustration,3d,2d,painting,cartoons,sketch,anime:1),toon,oil painting (medium),flat color,outline,smooth skin, (blurry:1),")

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

adetailer_face

boolean

Use ADetailer face_yolov9c.pt

Default: true

adetailer_hand

boolean

Use ADetailer hand_yolov9c.pt

Default: false

adetailer_person

boolean

Use ADetailer person_yolov8m-seg.pt

Default: false

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

npx create-replicate --model=aisha-ai-official/alchemist-mix-illustrious-realism-v4

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/alchemist-mix-illustrious-realism-v4 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/alchemist-mix-illustrious-realism-v4:7ad86f1e6919326d7237f0e67015a8438f140cc0882e9300437c0093f6633cea",
  {
    input: {
      vae: "default",
      seed: 1328132913,
      model: "Alchemist-Mix-Illustrious-Realism-v4",
      steps: 30,
      width: 1024,
      height: 1024,
      prompt: "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V",
      cfg_scale: 5,
      clip_skip: 1,
      pag_scale: 0,
      scheduler: "Euler a",
      batch_size: 1,
      adetailer_face: true,
      adetailer_hand: false,
      negative_prompt: "nsfw, naked",
      adetailer_person: false,
      guidance_rescale: 1,
      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/alchemist-mix-illustrious-realism-v4 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "aisha-ai-official/alchemist-mix-illustrious-realism-v4:7ad86f1e6919326d7237f0e67015a8438f140cc0882e9300437c0093f6633cea",
    input={
        "vae": "default",
        "seed": 1328132913,
        "model": "Alchemist-Mix-Illustrious-Realism-v4",
        "steps": 30,
        "width": 1024,
        "height": 1024,
        "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V",
        "cfg_scale": 5,
        "clip_skip": 1,
        "pag_scale": 0,
        "scheduler": "Euler a",
        "batch_size": 1,
        "adetailer_face": True,
        "adetailer_hand": False,
        "negative_prompt": "nsfw, naked",
        "adetailer_person": False,
        "guidance_rescale": 1,
        "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/alchemist-mix-illustrious-realism-v4 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/alchemist-mix-illustrious-realism-v4:7ad86f1e6919326d7237f0e67015a8438f140cc0882e9300437c0093f6633cea",
    "input": {
      "vae": "default",
      "seed": 1328132913,
      "model": "Alchemist-Mix-Illustrious-Realism-v4",
      "steps": 30,
      "width": 1024,
      "height": 1024,
      "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V",
      "cfg_scale": 5,
      "clip_skip": 1,
      "pag_scale": 0,
      "scheduler": "Euler a",
      "batch_size": 1,
      "adetailer_face": true,
      "adetailer_hand": false,
      "negative_prompt": "nsfw, naked",
      "adetailer_person": false,
      "guidance_rescale": 1,
      "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": "2025-03-07T08:42:40.305088Z",
  "created_at": "2025-03-07T08:41:57.515000Z",
  "data_removed": false,
  "error": null,
  "id": "jsq63p5p1drme0cndz2btp5z04",
  "input": {
    "vae": "default",
    "seed": 1328132913,
    "model": "Alchemist-Mix-Illustrious-Realism-v4",
    "steps": 30,
    "width": 1024,
    "height": 1024,
    "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V",
    "cfg_scale": 5,
    "clip_skip": 1,
    "pag_scale": 0,
    "scheduler": "Euler a",
    "batch_size": 1,
    "adetailer_face": true,
    "adetailer_hand": false,
    "negative_prompt": "nsfw, naked",
    "adetailer_person": false,
    "guidance_rescale": 1,
    "prepend_preprompt": true
  },
  "logs": "Using text to image mode.\nUsing seed: 1328132913\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:09,  3.04it/s]\n 10%|█         | 3/30 [00:00<00:04,  6.58it/s]\n 13%|█▎        | 4/30 [00:00<00:03,  7.06it/s]\n 17%|█▋        | 5/30 [00:00<00:03,  7.38it/s]\n 20%|██        | 6/30 [00:00<00:03,  7.60it/s]\n 23%|██▎       | 7/30 [00:01<00:02,  7.76it/s]\n 27%|██▋       | 8/30 [00:01<00:02,  7.86it/s]\n 30%|███       | 9/30 [00:01<00:02,  7.93it/s]\n 33%|███▎      | 10/30 [00:01<00:02,  7.98it/s]\n 37%|███▋      | 11/30 [00:01<00:02,  8.02it/s]\n 40%|████      | 12/30 [00:01<00:02,  8.05it/s]\n 43%|████▎     | 13/30 [00:01<00:02,  8.06it/s]\n 47%|████▋     | 14/30 [00:01<00:01,  8.07it/s]\n 50%|█████     | 15/30 [00:01<00:01,  8.08it/s]\n 53%|█████▎    | 16/30 [00:02<00:01,  8.09it/s]\n 57%|█████▋    | 17/30 [00:02<00:01,  8.08it/s]\n 60%|██████    | 18/30 [00:02<00:01,  8.07it/s]\n 63%|██████▎   | 19/30 [00:02<00:01,  8.07it/s]\n 67%|██████▋   | 20/30 [00:02<00:01,  8.07it/s]\n 70%|███████   | 21/30 [00:02<00:01,  8.07it/s]\n 73%|███████▎  | 22/30 [00:02<00:00,  8.06it/s]\n 77%|███████▋  | 23/30 [00:02<00:00,  8.07it/s]\n 80%|████████  | 24/30 [00:03<00:00,  8.05it/s]\n 83%|████████▎ | 25/30 [00:03<00:00,  8.06it/s]\n 87%|████████▋ | 26/30 [00:03<00:00,  8.06it/s]\n 90%|█████████ | 27/30 [00:03<00:00,  8.06it/s]\n 93%|█████████▎| 28/30 [00:03<00:00,  8.05it/s]\n 97%|█████████▋| 29/30 [00:03<00:00,  8.04it/s]\n100%|██████████| 30/30 [00:03<00:00,  8.04it/s]\n100%|██████████| 30/30 [00:03<00:00,  7.79it/s]\n/root/.pyenv/versions/3.12.8/lib/python3.12/site-packages/huggingface_hub/file_download.py:834: UserWarning: `local_dir_use_symlinks` parameter is deprecated and will be ignored. The process to download files to a local folder has been updated and do not rely on symlinks anymore. You only need to pass a destination folder as`local_dir`.\nFor more details, check out https://huggingface.co/docs/huggingface_hub/main/en/guides/download#download-files-to-local-folder.\nwarnings.warn(\nInpainting...\n0: 640x640 1 face, 6.1ms\nSpeed: 9.8ms preprocess, 6.1ms inference, 38.6ms postprocess per image at shape (1, 3, 640, 640)\npadded dim: (np.int64(235), np.int64(145), np.int64(681), np.int64(638))\nLoading StableDiffusionXLInpaintPipeline\n  0%|          | 0/3 [00:00<?, ?it/s]\n 33%|███▎      | 1/3 [00:00<00:00,  8.62it/s]\n 67%|██████▋   | 2/3 [00:00<00:00,  8.27it/s]\n100%|██████████| 3/3 [00:00<00:00,  9.18it/s]\ngenerated inpaint dim: (1024, 1024)",
  "metrics": {
    "predict_time": 7.932779249,
    "total_time": 42.790088
  },
  "output": [
    "https://replicate.delivery/xezq/yS9oDssf1w1lW6amt2j4a2DupBaUq09UZhRYPlf7HcDAOGWUA/0.png"
  ],
  "started_at": "2025-03-07T08:42:32.372309Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-lzhgigqyfuuaxzxjfgrsl4isy333qykvbiaxb3uqcdn56a62k5jq",
    "get": "https://api.replicate.com/v1/predictions/jsq63p5p1drme0cndz2btp5z04",
    "cancel": "https://api.replicate.com/v1/predictions/jsq63p5p1drme0cndz2btp5z04/cancel"
  },
  "version": "7ad86f1e6919326d7237f0e67015a8438f140cc0882e9300437c0093f6633cea"
}

Generated in

7.9 seconds

Tweak it ShareReport

Using text to image mode.
Using seed: 1328132913
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/root/.pyenv/versions/3.12.8/lib/python3.12/site-packages/huggingface_hub/file_download.py:834: UserWarning: `local_dir_use_symlinks` parameter is deprecated and will be ignored. The process to download files to a local folder has been updated and do not rely on symlinks anymore. You only need to pass a destination folder as`local_dir`.
For more details, check out https://huggingface.co/docs/huggingface_hub/main/en/guides/download#download-files-to-local-folder.
warnings.warn(
Inpainting...
0: 640x640 1 face, 6.1ms
Speed: 9.8ms preprocess, 6.1ms inference, 38.6ms postprocess per image at shape (1, 3, 640, 640)
padded dim: (np.int64(235), np.int64(145), np.int64(681), np.int64(638))
Loading StableDiffusionXLInpaintPipeline
  0%|          | 0/3 [00:00<?, ?it/s]
 33%|███▎      | 1/3 [00:00<00:00,  8.62it/s]
 67%|██████▋   | 2/3 [00:00<00:00,  8.27it/s]
100%|██████████| 3/3 [00:00<00:00,  9.18it/s]
generated inpaint dim: (1024, 1024)

Examples

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Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.