---
license: other
license_name: faipl
license_link: https://freedevproject.org/faipl-1.0-sd
language:
- en
tags:
- text-to-image
- stable-diffusion
- safetensors
- stable-diffusion-xl
base_model: OnomaAIResearch/Illustrious-xl-early-release-v0
widget:
- text: >-
1girl, green hair, sweater, looking at viewer, upper body, beanie,
outdoors, night, turtleneck, masterpiece, best quality
parameter:
negative_prompt: >-
nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers,
extra digit, fewer digits, cropped, worst quality, low quality, normal
quality, jpeg artifacts, signature, watermark, username, blurry, artist
name
example_title: 1girl
---
irAsu v1.0
**irAsu** is a second-stage finetune of Illustrious XL 0.1, which fixes the coloring, anatomy, and background of the images generated by the model.
## Standard Prompting Guidelines
The model is finetuned from Illustrious XL v0.1, which is trained with danbooru tags. However, there is a little bit changes on dataset captioning, therefore there is some different default prompt used:
**Default prompt**:
```
1girl/1boy, character name, from what series, everything else in any order, best quality, amazing quality, very aesthetic.
```
Note: The quality tag `masterpiece` has been replaced with `best quality` due to reports that it often caused unwanted side effects.
**Default negative prompt**:
```
lowres, (bad), text, error, fewer, extra, missing, worst quality, jpeg artifacts, low quality, watermark, unfinished, displeasing, oldest, early, chromatic aberration, signature, extra digits, artistic error, username, scan, [abstract],
```
**Default configuration:**
Default configuration: Euler a with around 25-30 steps, CFG 3.5-5, and ENSD set to 31337. Sweet spot is around **28 steps** and **CFG 4**.
## Training Configurations
- Finetuned from: [Illustrious XL v0.1](https://huggingface.co/OnomaAIResearch/Illustrious-xl-early-release-v0)
**Pretraining:** N/A
**Finetuning:**
- Dataset size: 3,140 images
- GPU: 1xA100
- Optimizer: AdaFactor
- Unet Learning Rate: 3e-6
- Text Encoder Learning Rate: - (Train TE set to False)
- Batch Size: 16
- Gradient Accumulation: 3
- Warmup steps: 5%
- Min SNR Gamma: 5
- Epoch: 10 (epoch 9 is used)
- Noise Offset: 0.0357
- Random Cropping: True
- Loss: Huber
- Huber Schedule: SNR
- Huber C: 0.1
## License
**irAsu v1.0** falls under the **[Fair AI Public License 1.0-SD](https://freedevproject.org/faipl-1.0-sd/)** license.