XL-Sat-IOR (Imitation Of Reality)

XL-Sat-IORv4
Sateluco
4 months ago

As always in my quest to create extremely realistic models, I finally made my XL model, which was an old debt to many of you.

After someone asked me about my last Illustrious model if it wasn't a base XL model, I decided to make a comparison between those two types of models, but I think the best way to do it was to create my own XL model, which is something that many had asked me to do, but I hadn't been able to do. Little by little, during the development of it, I realized the enormous capabilities that I had left aside by concentrating on my Pony and Illustrious models, but at the same time, I think it gave me time to develop my own style that I was able to capture in this model.

What this model is good at is that it is very good as a general model for all types of generations, especially artistic and detailed ones. It is good at following the prompt and is excellent for detailed portraits.

For distant images I recommend using Adetailer if you don't use Hires.fix

These are the recommended parameters:

  • The VAE is not baked, use SDXL_vae

  • Upscaler: Im using 4x-ClearRealityV1 upscale by 1.5 Steps 15 denois 0.35 Hires CFG 4,

  • Width and height: 896*1152

  • CFG Scale: 5

  • Steps: 35

  • The sampling method i use is DPM++2M-Karras

You may see many images that are a bit dark in the examples, but this doesn't mean that it's a trend in the model, but rather that I personally prefer dark images that don't have excellent definition.

I hope you can share as many images as possible, as this is the only way to continue improving my work.

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What is XL-Sat-IOR (Imitation Of Reality)?

XL-Sat-IOR (Imitation Of Reality) is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user Sateluco. Derived from the powerful Stable Diffusion (SDXL 1.0) model, XL-Sat-IOR (Imitation Of Reality) has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that XL-Sat-IOR (Imitation Of Reality) is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as base model, realistic, real.

With a rating of 0 and over 0 ratings, XL-Sat-IOR (Imitation Of Reality) is a popular choice among users for generating high-quality images from text prompts.

Can I download XL-Sat-IOR (Imitation Of Reality)?

Yes! You can download the latest version of XL-Sat-IOR (Imitation Of Reality) from here.

How to use XL-Sat-IOR (Imitation Of Reality)?

To use XL-Sat-IOR (Imitation Of Reality), download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like XL-Sat-IOR (Imitation Of Reality), check out our crash course in AI image generation.

Download (6.46 GB) Download available on desktop only
You'll need to use a program like A1111 to run this – learn how in our crash course

Popularity

180 ~10

Info

Base model: SDXL 1.0

Version XL-Sat-IORv4: 1 File

To download these files, please visit this page from a desktop computer.

About this version: XL-Sat-IORv4

I may have said this before, but I think it's by far my best model to date. I was very satisfied with the overall results, good understanding of the prompt, very realistic but still with an artistic touch, excellent lighting. I really hope you can try it and share your examples.

  • The VAE is baked again

  • Upscaler: Im using 4x-ClearRealityV1 upscale by 1.5 Steps 15 denois 0.35 Hires CFG 4,

  • Width and height: 896*1152

  • CFG Scale: 5

  • Steps: 35

  • The sampling method i use is DPM++2M-Karras

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