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RedRayz
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illumina-xl-1.1

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stable-diffusion
stable-diffusion-xl
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illumina-xl-1.1
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---
license: other
license_name: faipl-1.0-sd
license_link: https://freedevproject.org/faipl-1.0-sd/
pipeline_tag: text-to-image
base_model:
- RedRayz/illumina-xl-1.0
tags:
- stable-diffusion
- stable-diffusion-xl
---

# Illumina-XL-1.1

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/630e2d981ef92d4e37a1694e/zzWEQn_E9IN5HASpsqB2f.jpeg)

Modified Illustrious-XL-v0.1

Your can find sample images on [Civitai model page](https://civitai.com/models/832013)

## About v1.1
Slightly improved quality(stability) of background(scenery) and style

## Prompt Guidelines
Almost same as the base model

## Recommended Prompt
### standard
Positive: None(Works good without `masterpiece, best quality`)

Negative: `worst quality, low quality, bad quality, lowres, jpeg artifacts, unfinished`

Negative(more stability): `worst quality, low quality, bad quality, lowres, jpeg artifacts, unfinished, oldest, old, photoshop \(medium\)`

### masterpiece style
Positive: `newest, ai-generated`

Negative: `worst quality, bad quality, lowres, jpeg artifacts, unfinished, comic, 1koma, 2koma, 3koma, 4koma, oldest, old, photoshop \(medium\)`

## Recommended Settings
Steps: 14-28

Sampler: DPM++ 2M(dpmpp_2m)

Scheduler: Simple or Karras

Guidance Scale: 4-9

### Hires.fix

Hires upscaler: 4x-UltraSharp or Latent

Denoising strength: 0.4-0.5(0.6 for latent)


## Merge recipe(Weighted sum)
I made 6 Illustrious-based models and merged them.

*A-F: illustrious-based custom checkpoint

- Illumina-XL-1.0(Enhanced background) * 0.55 + A * 0.45 = tmp1
- tmp1 * 0.8 + B * 0.2 = tmp2
- tmp2 * 0.65 + C * 0.35 = tmp3
- tmp3 * 0.6 + D * 0.4 = tmp4
- tmp4 * 0.6 + F * 0.4 = tmp5
- tmp5 * 0.85 + E * 0.15 = Illumina-XL-1.1

## Training scripts:
[sd-scripts](https://github.com/kohya-ss/sd-scripts)

## Notice
This model is licensed under [Fair AI Public License 1.0-SD](https://freedevproject.org/faipl-1.0-sd/)

If you make modify this model, you must share both your changes and the original license.

You are prohibited from monetizing any close-sourced fine-tuned / merged model, which disallows the public from accessing the model's source code / weights and its usages.