Mindket

CyberRealistic XL

Newversion 1 · updated

Overview

Generates photorealistic images from text prompts, tuned for portraits, fashion and editorial scenes. An SDXL 1.0 based checkpoint for artists and designers who want cinematic looks from short prompts.

CyberRealistic XL 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 with pip
  • A tool or code that can load an SDXL checkpoint
  • About 6.31 GB of disk space
Runs in
  • Python with the diffusers library
  • Stable Diffusion tools that load SDXL safetensors files
  • Windows, macOS or Linux: where you can fetch the files with Python
Start with
pip install -U huggingface_hub
hf download cyberdelia/CyberRealisticXL

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

CyberRealistic XL is a text to image checkpoint built on Stable Diffusion XL 1.0. It aims for photorealistic, cinematic results from short prompts, and it is tuned for portraits, fashion and editorial scenes. The file is a safetensors checkpoint of about 6.31 GB with the VAE built in, so you do not add a separate one.

Who it suits

Artists, designers and hobbyists who want realistic photo style images without writing long prompts.

IndustryWho uses itHow they use itExample
Fashion and editorialDesigners and art directorsDraft look book and editorial style frames from textGenerating a close-up fashion shot with side lighting
MarketingContent creatorsMake realistic portrait style visuals for conceptsTesting a campaign mood before a real photo shoot
Hobby artImage generation enthusiastsUse it as a base checkpoint in a Stable Diffusion setupTrying short prompts for candid portraits

Skip it if you want stylized or cartoon output, or if you cannot run an SDXL sized model.

Where to use it

It works with the diffusers library and with Stable Diffusion tools that load SDXL checkpoints. The files download on Windows, macOS or Linux.

  • Python with the diffusers library
  • Stable Diffusion tools that load SDXL safetensors files
  • Windows, macOS or Linux: where you can fetch the files with Python
Use caseWhoWhat they get back
Portrait generationArtistsRealistic faces with detailed skin and eyes
Editorial scenesDesignersCinematic lighting and shallow focus looks
Short prompt draftsBeginnersUsable images without a long prompt

How to set it up

You need Python and about 6.31 GB of space for the checkpoint.

  • Python with pip
  • A tool or code that can load an SDXL checkpoint
  • About 6.31 GB of disk space
  1. Install the Hugging Face hub library.
  2. Download the model files.
  3. Load the checkpoint in your image tool.
pip install -U huggingface_hub
hf download cyberdelia/CyberRealisticXL

How to use it

Write a short prompt, then use the settings the author recommends.

SettingRecommended value
Sampling steps25 to 30
SamplerDPM++ 3M SDE Karras or Euler A
Resolution1024x1024 natively, 1536x1536 with Hires.fix
CFG scale7.0 to 8.0

Example

You ask for a candid portrait of a young woman in natural light, with shallow depth of field and soft bokeh. At 1024x1024 with 25 to 30 steps, it returns a photo style image with detailed skin and lighting.

For newcomers and experts

If you are new to this, start with one short prompt at 1024x1024 and the recommended sampler. Raise the size with Hires.fix only after you like the composition.

If you know the field, this is an SDXL 1.0 fine tune with the VAE included, so you skip the external VAE step. The author lists v5.7 as the latest version and recommends the CFG range above. Other people have published 15 fine tunes and 2 quantized copies of it.

  1. Text prompt goes in
  2. SDXL based model denoises
  3. Built in VAE decodes the image
  4. Photorealistic image comes out

Good to know

The card shows prompts and a preview image but no benchmark numbers.

  • License: CreativeML Open RAIL++-M
  • Cost to run: none named, you supply the hardware
  • Data it reaches: the card names none
  • Not for: the card names no exclusions, so read the license for its use rules

README and files

README

CyberRealistic XL

Generates photorealistic images from text prompts, tuned for portraits, fashion and editorial scenes. An SDXL 1.0 based checkpoint for artists and designers who want cinematic looks from short prompts.

Made by cyberdelia 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: CyberRealistic XL is a text to image checkpoint built on Stable Diffusion XL 1.0. It aims for photorealistic, cinematic results from short prompts, and it is tuned for portraits, fashion and editorial scenes. The file is a safetensors checkpoint of about 6.31 GB with the VAE built in, so you do not add a separate one.

Who it suits: Artists, designers and hobbyists who want realistic photo style images without writing long prompts.

Industry | Who uses it | How they use it | Example
Fashion and editorial | Designers and art directors | Draft look book and editorial style frames from text | Generating a close-up fashion shot with side lighting
Marketing | Content creators | Make realistic portrait style visuals for concepts | Testing a campaign mood before a real photo shoot
Hobby art | Image generation enthusiasts | Use it as a base checkpoint in a Stable Diffusion setup | Trying short prompts for candid portraits

Skip it if you want stylized or cartoon output, or if you cannot run an SDXL sized model.

Where to use it: It works with the diffusers library and with Stable Diffusion tools that load SDXL checkpoints. The files download on Windows, macOS or Linux.

  • Python with the diffusers library
  • Stable Diffusion tools that load SDXL safetensors files
  • Windows, macOS or Linux: where you can fetch the files with Python
Use case | Who | What they get back
Portrait generation | Artists | Realistic faces with detailed skin and eyes
Editorial scenes | Designers | Cinematic lighting and shallow focus looks
Short prompt drafts | Beginners | Usable images without a long prompt

How to set it up: You need Python and about 6.31 GB of space for the checkpoint.

  • Python with pip
  • A tool or code that can load an SDXL checkpoint
  • About 6.31 GB of disk space
  1. Install the Hugging Face hub library.
  2. Download the model files.
  3. Load the checkpoint in your image tool.
pip install -U huggingface_hub
hf download cyberdelia/CyberRealisticXL

How to use it: Write a short prompt, then use the settings the author recommends.

Setting | Recommended value
Sampling steps | 25 to 30
Sampler | DPM++ 3M SDE Karras or Euler A
Resolution | 1024x1024 natively, 1536x1536 with Hires.fix
CFG scale | 7.0 to 8.0

Example: You ask for a candid portrait of a young woman in natural light, with shallow depth of field and soft bokeh. At 1024x1024 with 25 to 30 steps, it returns a photo style image with detailed skin and lighting.

For newcomers and experts: If you are new to this, start with one short prompt at 1024x1024 and the recommended sampler. Raise the size with Hires.fix only after you like the composition.

If you know the field, this is an SDXL 1.0 fine tune with the VAE included, so you skip the external VAE step. The author lists v5.7 as the latest version and recommends the CFG range above. Other people have published 15 fine tunes and 2 quantized copies of it.

Text prompt goes in
SDXL based model denoises
Built in VAE decodes the image
Photorealistic image comes out

Good to know: The card shows prompts and a preview image but no benchmark numbers.

  • License: CreativeML Open RAIL++-M
  • Cost to run: none named, you supply the hardware
  • Data it reaches: the card names none
  • Not for: the card names no exclusions, so read the license for its use rules

On Hugging Face, 13 November 2026

  • Task: text to image
  • Library: diffusers
  • Downloads in the last 30 days: 67,834
  • Likes: 54
  • License: creativeml-openrail-m
  • Quantized versions: 2
  • Fine-tunes: 15
  • Tags: diffusers, stable-diffusion-xl, sd-xl, text-to-image, photorealistic, cyberrealistic, image-generation

Links

Get the model

Download its files with Hugging Face's command line:

pip install -U huggingface_hub
hf download cyberdelia/CyberRealisticXL

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

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-13

Compare with similar

Listed Hugging Face models in the same category that share the most tags with this one.

ProductDownloads, last 30 daysLikesParametersLicenseLast change
CyberRealistic XL This page67,83454—creativeml-openrail-m
Juggernaut-XL-v9Shares photorealistic · stable-diffusion-xl · text-to-image587,793521—creativeml-openrail-m
HiDream-I1-FullShares image-generation · text-to-image · diffusers6951,01517.1Bmit
Z-Image-Turbo-GGUF by leejetShares image-generation · text-to-image268,204636.2Bapache-2.0
Pixel Art XLShares text-to-image · diffusers38,781669—creativeml-openrail-m
Moss Image Beauty LoRAShares text-to-image · diffusers5,54622—apache-2.0
Numbers as Mindket last read them, from 2026-11-12 to 2026-11-14.

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