millennium-il / README.md
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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:
- OnomaAIResearch/Illustrious-xl-early-release-v0
tags:
- stable-diffusion
- stable-diffusion-xl
---
# Millennium-IL
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/630e2d981ef92d4e37a1694e/THPS9LiA8cHY0N9SRgnTc.jpeg)
Modified Illustrious-XL-v0.1 with Blue Archive style
Do not expect quality!
## Prompt Guidelines
Almost same as the base model
## Recommended Prompt
None(Works good without `masterpiece, best quality`)
## Recommended Negative Prompt
`worst quality, low quality, bad quality, lowres, jpeg artifacts, unfinished, monochrome`
## Recommended Settings
Steps: 14-28
Sampler: DPM++ 2M(dpmpp_2m)
Scheduler: Simple or Karras
Guidance Scale: 4-9
## Training information
Finetuned Illustrious-XL-v0.1 by repeating the training and merging a DoRA 8 times with sd-scripts.
- Network module: lycoris_kohya(algo=lora, dora_wd=True)
- Resolution: 1024(Bucketing enabled, min 512, max 2048)
- Optimizer: Lion
- Train U-Net only: Yes
- LR Scheduler: cosine with restart(warmup steps=80-150, repeat=4-6)
- Learning Rate: various(min=1.5e-05, max=7e-05)
- Noise Offset: 0.04
- Immiscible Noise: 2048
- Batch size: 1
- Gradient Accumulation steps: 1 or 2
- Dim/Alpha: 16/4
- Conv Dim/Alpha: 1/0.1
## Dataset information
Dataset size: 338
## 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.