NebulaeWis
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README.md
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---
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license: other
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license_name: fair-ai-public-license-1.0-sd
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license_link: https://freedevproject.org/faipl-1.0-sd/
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language:
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- en
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base_model:
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- Laxhar/noobai-XL_v1.0
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pipeline_tag: text-to-image
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tags:
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- Diffusers
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- Safetensors
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---
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# New Image Generation Model
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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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# Model Introduction
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## Model Details
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- **Developed by**: [Laxhar Lab](https://huggingface.co/Laxhar)
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- **Model Type**: Diffusion-based text-to-image generative model
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- **Fine-tuned from**: OnomaAIResearch/Illustrious-xl-early-release-v0
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- **Sponsored by from**: [Lanyun Cloud](https://cloud.lanyun.net)
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**Communication**
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* **QQ Groups:**
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* 875042008
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* 914818692
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* 635772191
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* **Discord:** [Laxhar Dream Lab SDXL NOOB](https://discord.com/invite/DKnFjKEEvH)
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# Recommended Settings
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## Parameters
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- CFG: 5 ~ 6
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- Steps: 25 ~ 30
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- Sampling Method:Euler a
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- Resolution:aim for around 1024\*1024
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## Prompts
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- Prompt:
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```
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masterpiece, best quality, newest, absurdres, highres, safe,
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```
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- Negative Prompt:
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```
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nsfw,worst quality,old,early,low quality,quality,lowres,signature,username,bad id,bad twitter id,english commentary,logo,bad hands,mutated hands,mammal,anthro,furry,ambiguous_form,feral,semi-anthro
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```
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# Usage Guidelines
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## Caption
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```
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<1girl/1boy/1other/...>, <character>, <series>, <artists>, <special tags>, <general tags>, <other 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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## Date tags
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| Year Range | Period |
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|:-----------------|:------------------|
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| 2005-2010 | old |
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| 2011-2014 | early |
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| 2014-2017 | mid |
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| 2018-2020 | recent |
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| 2021-2024 | newest |
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## Datasets
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- Latest Danbooru images up to the training date(for v1.0,it mean approximately before 2024-10-23)
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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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# Model License
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This model's license inherits from https://huggingface.co/OnomaAIResearch/Illustrious-xl-early-release-v0 fair-ai-public-license-1.0-sd and adds the following terms. Any use of this model and its variants is bound by this license.
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## I. Usage Restrictions
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- Prohibited use for harmful, malicious, or illegal activities, including but not limited to harassment, threats, and spreading misinformation.
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- Prohibited generation of unethical or offensive content.
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- Prohibited violation of laws and regulations in the user's jurisdiction.
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## II. Commercial Prohibition
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We prohibit any form of commercialization, including but not limited to monetization or commercial use of the model, derivative models, or model-generated products.
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## III. Open Source Community
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For the open source community, you need to:
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- Open source derivative models, merged models, LoRAs, and products based on the above models.
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- Share work details such as synthesis formulas, prompts, and workflows.
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- Follow the fair-ai-public-license to ensure derivative works remain open source.
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## IV. Disclaimer
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Generated models may produce unexpected or harmful outputs. Users must assume all risks and potential consequences of usage.
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# Participants and Contributors
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## Participants
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* **L_A_X:** [Civitai](https://civitai.com/user/L_A_X) | [Liblib.art](https://www.liblib.art/userpage/9e1b16538b9657f2a737e9c2c6ebfa69)
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* **li_li:** [Civitai](https://civitai.com/user/li_li)
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* **nebulae:** [Civitai](https://civitai.com/user/kitarz)
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* **Chenkin:** [Civitai](https://civitai.com/user/Chenkin)
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* **Euge:** [Civitai](https://civitai.com/user/Euge_)
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## Contributors
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* **Narugo1992:** Thanks to narugo1992 and the deepghs team for open-sourcing various training sets, image processing tools, and models.
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* [GitHub](https://github.com/narugo1992)
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* [Hugging Face](https://huggingface.co/deepghs)
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* **Naifu:** Training scripts
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* [GitHub](https://github.com/Mikubill/naifu)
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* **Onommai:** Thanks to onommai for open-sourcing a powerful base model.
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* [Onommai](https://onomaai.com/)
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* **aria1th261:** [Civitai](https://civitai.com/user/aria1th261)
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* **neggles:** [GitHub](https://github.com/neggles/neurosis)
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* **parsee-mizuhashi:** [Hugging Face](https://huggingface.co/parsee-mizuhashi)
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* **bluvoll:** [Civitai](https://civitai.com/user/bluvoll)
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* **sdtana:** [Hugging Face](https://huggingface.co/sdtana)
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* **chewing:** [Hugging Face](https://huggingface.co/chewing)
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* **irldoggo:** [GitHub](https://github.com/irldoggo)
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* **reoe:** [Hugging Face](https://huggingface.co/reoe)
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* **kblueleaf:** [Civitai](https://civitai.com/user/kblueleaf)
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* **Yidhar:** [GitHub](https://github.com/Yidhar)
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* **Others:** ageless, 白玲可, Creeper, KaerMorh, 吟游诗人, SeASnAkE, [zwh20081](https://civitai.com/user/zwh20081), Wenaka~喵, 稀里哗啦, 幸运二副, 昨日の約, 445, [EBIX](https://civitai.com/user/EBIX), [Sopp](https://huggingface.co/goyishsoyish), [Y_X](https://civitai.com/user/Y_X), adsfssdf, [Minthybasis](https://civitai.com/user/Minthybasis), [Rakosz](https://civitai.com/user/Rakosz)
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