Not-For-All-Audiences
File size: 1,935 Bytes
49dedea b65bc23 49dedea b65bc23 1aaedb0 af63cc0 5fae066 b65bc23 d0b10c6 27b6294 d0b10c6 0f09b0b d0b10c6 b65bc23 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
---
{}
---
# New Image Generation Model - Early Access
This is an image generation model based on training from Illustrious-xl.
It utilizes the latest full Danbooru and e621 datasets for training, with native tags caption.
**Note:** The model name and other details are subject to change.
# This model is still undergoing training!!!
# This model is still undergoing training!!!
# This model is still undergoing training!!!
## Important Information
- This model is in training and uploaded without testing. It's synced directly with our internal development.
- Users access at their own risk. No guarantees or support provided.
- No sublicensing or redistribution allowed. Approved users only.
- We reserve the right to modify terms or terminate access anytime.
- Use at your own discretion and responsibility.
## Current Status
This is an early test version intended for internal use. However, we are considering allowing limited external testing.
## Datasets
- Latest Danbooru images up to the training date
- E621 images [e621-2024-webp-4Mpixel](https://huggingface.co/datasets/NebulaeWis/e621-2024-webp-4Mpixel) dataset on Hugging Face
## Caption
```
<1girl/1boy/1other/...>, <character>, <series>, <artists>, <special tags>, <general tags>
```
## Quality Tags
The quality tags are assigned based on percentile ranges of rating scores from various data sources, which are normalized and time-weighted to prioritize recent ratings.
| Percentile Range | Quality Tags |
|:-----------------|:------------------|
| > 95th | masterpiece |
| > 85th, <= 95th | best quality |
| > 60th, <= 85th | good quality |
| > 30th, <= 60th | normal quality |
| <= 30th | worst quality |
## How to Apply
If you're interested in early access testing:
1. Please contact us through our official channels (e.g., QQ group).
2. Applications will be reviewed on a case-by-case basis. |