Duplicate from Laxhar/sdxl_noob

Co-authored-by: yy <[email protected]>

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README.md

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+---
+{}
+---
+# 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.
+
+The stable test version can be downloaded from Civitai, with regular updates. The current release is the version that continues training for 55,000,000 steps.
+https://civitai.com/models/833294
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63d3a01ae149f591b950f5e8/NcIKFOFD8NhxGTueIbyAw.png)
+
+ 
+#  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
+For quality tags, we evaluated image popularity through the following process: 
+-  Data normalization based on various sources and ratings.
+-  Application of time-based decay coefficients according to date recency.
+-  Ranking of images within the entire dataset based on this processing.
+   
+Our ultimate goal is to ensure that quality tags effectively track user preferences in recent years.
+
+
+| 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.
+3. Communication qq groups：①875042008 ②914818692 ③635772191

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