Mindket

Illustrious XL v2.0-STABLE

Newversion 1 · updated

Overview

Generates images from text prompts. This is the slightly more stabilized checkpoint of Illustrious XL v2, for people who make images on the maker's site or in their own setup.

Illustrious XL v2.0-STABLE is a kit in the Marketing & SEO category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Python and pip, for the file download
  • Disk space for the checkpoint files
  • An image generation tool of your choice, because the page gives no run steps
Runs in
  • The maker's own image generation site, which offers high-res output, natural language prompts and presets
  • Your own computer, on Windows, macOS or Linux with Python, to download the files
  • An image tool that loads checkpoint files, which the page does not name
Start with
pip install -U huggingface_hub
hf download OnomaAIResearch/Illustrious-XL-v2.0

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

Illustrious XL v2.0-STABLE is an image generation model from OnomaAIResearch. It is a checkpoint of Illustrious XL v2 taken from the last phase of its learning rate schedule, which the maker says behaves a little differently and generates more steadily. The page gives few other technical details.

Who it suits

It suits people who want to make pictures from a written description, and developers who build on an existing image checkpoint. The Hugging Face record lists 103 fine-tuned and 4 quantized versions made by others.

IndustryWho uses itHow they use itExample
DesignIllustrators and designersDescribe a scene in plain language and get an imageA written scene turned into a high-res picture on the maker's site
HobbyImage model fansCompare this checkpoint with the earlier v2 oneRunning both on one prompt to see the subtle differences
DevelopmentModel fine-tunersStart their own versions from this checkpointOne of the 103 fine-tuned versions listed on Hugging Face
SoftwarePlatform buildersPick a quantized copy for lighter setupsOne of the 4 quantized versions listed on Hugging Face

You can skip it if you need a text or code model, since this one only makes images.

Where to use it

  • The maker's own image generation site, which offers high-res output, natural language prompts and presets
  • Your own computer, on Windows, macOS or Linux with Python, to download the files
  • An image tool that loads checkpoint files, which the page does not name
Use caseWhoWhat they get back
Make an image from a descriptionDesignersAn image generated from your prompt
Try the stable checkpointModel fansOutput that may differ slightly from earlier v2 output
Build a fine-tuneDevelopersA base checkpoint to train further

How to set it up

  • Python and pip, for the file download
  • Disk space for the checkpoint files
  • An image generation tool of your choice, because the page gives no run steps
  1. Install the Hugging Face hub package.
  2. Download the model files to your computer.
  3. Load the checkpoint in your image tool, or skip the download and use the maker's site.
pip install -U huggingface_hub
hf download OnomaAIResearch/Illustrious-XL-v2.0

How to use it

On the maker's site you type a prompt in everyday language, pick a preset if you like and receive an image. With the downloaded files, you point your own image tool at the checkpoint and prompt it there. The page shows no other commands.

Example

You write "a lighthouse at dusk with gulls overhead" in the prompt box. An image of that scene comes back, and the quality depends on the tool and settings you use.

For newcomers and experts

This is a picture making model. For a first try, use the maker's site and type a short description of a scene you want. The file download is for people who already run their own image setup.

The v2 model was trained with a cosine annealing learning rate schedule, so the most stable weights sit in its last annealing phase. This upload takes that later point. The maker calls the differences from the earlier checkpoint usually subtle, with better behavior expected from this one, and says separate optimized checkpoints are planned.

  1. You write a prompt in plain language
  2. The checkpoint generates an image
  3. An image comes back

Good to know

The card gives no benchmarks and no run instructions, so treat comparisons with other models as untested. Downloads in the last 30 days show as 0 in the record.

  • License: CreativeML OpenRAIL-M
  • Cost to run: no price is named for the files, and the page does not state what the maker's site charges
  • Data it reaches: downloads model files from Hugging Face, and the maker's site is a separate service whose data handling the page does not describe
  • Not for: the page states no limits beyond its license, so read the license terms before use

README and files

README

Illustrious XL v2.0-STABLE

Generates images from text prompts. This is the slightly more stabilized checkpoint of Illustrious XL v2, for people who make images on the maker's site or in their own setup.

Made by OnomaAIResearch on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face.

About

What it is: Illustrious XL v2.0-STABLE is an image generation model from OnomaAIResearch. It is a checkpoint of Illustrious XL v2 taken from the last phase of its learning rate schedule, which the maker says behaves a little differently and generates more steadily. The page gives few other technical details.

Who it suits: It suits people who want to make pictures from a written description, and developers who build on an existing image checkpoint. The Hugging Face record lists 103 fine-tuned and 4 quantized versions made by others.

Industry | Who uses it | How they use it | Example
Design | Illustrators and designers | Describe a scene in plain language and get an image | A written scene turned into a high-res picture on the maker's site
Hobby | Image model fans | Compare this checkpoint with the earlier v2 one | Running both on one prompt to see the subtle differences
Development | Model fine-tuners | Start their own versions from this checkpoint | One of the 103 fine-tuned versions listed on Hugging Face
Software | Platform builders | Pick a quantized copy for lighter setups | One of the 4 quantized versions listed on Hugging Face

You can skip it if you need a text or code model, since this one only makes images.

Where to use it:

  • The maker's own image generation site, which offers high-res output, natural language prompts and presets
  • Your own computer, on Windows, macOS or Linux with Python, to download the files
  • An image tool that loads checkpoint files, which the page does not name
Use case | Who | What they get back
Make an image from a description | Designers | An image generated from your prompt
Try the stable checkpoint | Model fans | Output that may differ slightly from earlier v2 output
Build a fine-tune | Developers | A base checkpoint to train further

How to set it up:

  • Python and pip, for the file download
  • Disk space for the checkpoint files
  • An image generation tool of your choice, because the page gives no run steps
  1. Install the Hugging Face hub package.
  2. Download the model files to your computer.
  3. Load the checkpoint in your image tool, or skip the download and use the maker's site.
pip install -U huggingface_hub
hf download OnomaAIResearch/Illustrious-XL-v2.0

How to use it: On the maker's site you type a prompt in everyday language, pick a preset if you like and receive an image. With the downloaded files, you point your own image tool at the checkpoint and prompt it there. The page shows no other commands.

Example: You write "a lighthouse at dusk with gulls overhead" in the prompt box. An image of that scene comes back, and the quality depends on the tool and settings you use.

For newcomers and experts: This is a picture making model. For a first try, use the maker's site and type a short description of a scene you want. The file download is for people who already run their own image setup.

The v2 model was trained with a cosine annealing learning rate schedule, so the most stable weights sit in its last annealing phase. This upload takes that later point. The maker calls the differences from the earlier checkpoint usually subtle, with better behavior expected from this one, and says separate optimized checkpoints are planned.

You write a prompt in plain language
The checkpoint generates an image
An image comes back

Good to know: The card gives no benchmarks and no run instructions, so treat comparisons with other models as untested. Downloads in the last 30 days show as 0 in the record.

  • License: CreativeML OpenRAIL-M
  • Cost to run: no price is named for the files, and the page does not state what the maker's site charges
  • Data it reaches: downloads model files from Hugging Face, and the maker's site is a separate service whose data handling the page does not describe
  • Not for: the page states no limits beyond its license, so read the license terms before use

On Hugging Face, 13 November 2026

  • Downloads in the last 30 days: 0
  • Likes: 248
  • License: creativeml-openrail-m
  • Quantized versions: 4
  • Fine-tunes: 103

Links

Get the model

Download its files with Hugging Face's command line:

pip install -U huggingface_hub
hf download OnomaAIResearch/Illustrious-XL-v2.0

Then follow the usage in its model card. Nothing in this kit runs by itself.

Files
README.md  5 KB

1 file, 5 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-13

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