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# New Image Generation Model - Early Access |
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This is an image generation model based on training from Illustrious-xl. |
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It utilizes the latest full Danbooru and e621 datasets for training, with native tags caption. |
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**Note:** The model name and other details are subject to change. |
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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. |
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https://civitai.com/models/833294 |
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/63d3a01ae149f591b950f5e8/NcIKFOFD8NhxGTueIbyAw.png) |
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# This model is still undergoing training!!! |
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# This model is still undergoing training!!! |
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# This model is still undergoing training!!! |
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## Important Information |
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- This model is in training and uploaded without testing. It's synced directly with our internal development. |
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- Users access at their own risk. No guarantees or support provided. |
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- No sublicensing or redistribution allowed. Approved users only. |
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- We reserve the right to modify terms or terminate access anytime. |
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- Use at your own discretion and responsibility. |
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## Current Status |
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This is an early test version intended for internal use. However, we are considering allowing limited external testing. |
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## Datasets |
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- Latest Danbooru images up to the training date |
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- E621 images [e621-2024-webp-4Mpixel](https://huggingface.co/datasets/NebulaeWis/e621-2024-webp-4Mpixel) dataset on Hugging Face |
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## Caption |
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``` |
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<1girl/1boy/1other/...>, <character>, <series>, <artists>, <special tags>, <general tags> |
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``` |
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## Quality Tags |
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For quality tags, we evaluated image popularity through the following process: |
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- Data normalization based on various sources and ratings. |
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- Application of time-based decay coefficients according to date recency. |
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- Ranking of images within the entire dataset based on this processing. |
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Our ultimate goal is to ensure that quality tags effectively track user preferences in recent years. |
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| Percentile Range | Quality Tags | |
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|:-----------------|:------------------| |
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| > 95th | masterpiece | |
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| > 85th, <= 95th | best quality | |
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| > 60th, <= 85th | good quality | |
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| > 30th, <= 60th | normal quality | |
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| <= 30th | worst quality | |
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## How to Apply |
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If you're interested in early access testing: |
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1. Please contact us through our official channels (e.g., QQ group). |
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2. Applications will be reviewed on a case-by-case basis. |
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3. Communication qq groups:①875042008 ②914818692 ③635772191 |