noobai-XL-1.0 / README.md
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---
license: other
license_name: fair-ai-public-license-1.0-sd
license_link: https://freedevproject.org/faipl-1.0-sd/
language:
- en
base_model:
- Laxhar/noobai-XL-0.77
pipeline_tag: text-to-image
tags:
- Diffusers
- Safetensors
---
# New Image Generation Model
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.
# Model Introduction
## Model Details
- **Developed by**: [Laxhar Lab](https://huggingface.co/Laxhar)
- **Model Type**: Diffusion-based text-to-image generative model
- **Fine-tuned from**: OnomaAIResearch/Illustrious-xl-early-release-v0
- **Sponsored by from**: [Lanyun Cloud](https://cloud.lanyun.net)
# Recommended Settings
## Parameters
- CFG: 5 ~ 6
- Steps: 25 ~ 30
- Sampling Method:Euler a
- Resolution: Total area around 1024x1024. Best to choose from: 768x1344, **832x1216**, 896x1152, 1024x1024, 1152x896, 1216x832, 1344x768
## Prompts
- Prompt Prefix:
```
masterpiece, best quality, newest, absurdres, highres, safe,
```
- Negative Prompt:
```
nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro
```
# Usage Guidelines
## Caption
```
<1girl/1boy/1other/...>, <character>, <series>, <artists>, <special tags>, <general tags>, <other 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 |
## Date tags
| Year Range | Period |
|:-----------------|:------------------|
| 2005-2010 | old |
| 2011-2014 | early |
| 2014-2017 | mid |
| 2018-2020 | recent |
| 2021-2024 | newest |
## Datasets
- Latest Danbooru images up to the training date(for v1.0,it mean approximately before 2024-10-23)
- E621 images [e621-2024-webp-4Mpixel](https://huggingface.co/datasets/NebulaeWis/e621-2024-webp-4Mpixel) dataset on Hugging Face
-
**Communication**
- **QQ Groups:**
- 875042008
- 914818692
- 635772191
- **Discord:** [Laxhar Dream Lab SDXL NOOB](https://discord.com/invite/DKnFjKEEvH)
**Utility Tool**
Laxhar Lab is training a dedicated ControlNet model for NoobXL, and the models are being released progressively. So far, the normal, depth, and canny have been released.
Model link: https://civitai.com/models/929685
# Model License
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.
## I. Usage Restrictions
- Prohibited use for harmful, malicious, or illegal activities, including but not limited to harassment, threats, and spreading misinformation.
- Prohibited generation of unethical or offensive content.
- Prohibited violation of laws and regulations in the user's jurisdiction.
## II. Commercial Prohibition
We prohibit any form of commercialization, including but not limited to monetization or commercial use of the model, derivative models, or model-generated products.
## III. Open Source Community
To foster a thriving open-source community,users MUST comply with the following requirements:
- Open source derivative models, merged models, LoRAs, and products based on the above models.
- Share work details such as synthesis formulas, prompts, and workflows.
- Follow the fair-ai-public-license to ensure derivative works remain open source.
## IV. Disclaimer
Generated models may produce unexpected or harmful outputs. Users must assume all risks and potential consequences of usage.
# Participants and Contributors
## Participants
- **L_A_X:** [Civitai](https://civitai.com/user/L_A_X) | [Liblib.art](https://www.liblib.art/userpage/9e1b16538b9657f2a737e9c2c6ebfa69) | [Huggingface](https://huggingface.co/LAXMAYDAY)
- **li_li:** [Civitai](https://civitai.com/user/li_li) | [Huggingface](https://huggingface.co/heziiiii)
- **nebulae:** [Civitai](https://civitai.com/user/kitarz) | [Huggingface](https://huggingface.co/NebulaeWis)
- **Chenkin:** [Civitai](https://civitai.com/user/Chenkin) | [Huggingface](https://huggingface.co/windsingai)
- **Euge:** [Civitai](https://civitai.com/user/Euge_) | [Huggingface](https://huggingface.co/Eugeoter) | [Github](https://github.com/Eugeoter)
## Contributors
- **Narugo1992**: Thanks to [narugo1992](https://github.com/narugo1992) and the [deepghs](https://huggingface.co/deepghs) team for open-sourcing various training sets, image processing tools, and models.
- **Mikubill**: Thanks to [Mikubill](https://github.com/Mikubill) for the [Naifu](https://github.com/Mikubill/naifu) trainer.
- **Onommai**: Thanks to [OnommAI](https://onomaai.com/) for open-sourcing a powerful base model.
- **V-Prediction**: Thanks to the following individuals for their detailed instructions and experiments.
- adsfssdf
- [bluvoll](https://civitai.com/user/bluvoll)
- [bvhari](https://github.com/bvhari)
- [catboxanon](https://github.com/catboxanon)
- [parsee-mizuhashi](https://huggingface.co/parsee-mizuhashi)
- [very-aesthetic](https://github.com/very-aesthetic)
- [momoura](https://civitai.com/user/momoura)
- madmanfourohfour
- **Community**: [aria1th261](https://civitai.com/user/aria1th261), [neggles](https://github.com/neggles/neurosis), [sdtana](https://huggingface.co/sdtana), [chewing](https://huggingface.co/chewing), [irldoggo](https://github.com/irldoggo), [reoe](https://huggingface.co/reoe), [kblueleaf](https://civitai.com/user/kblueleaf), [Yidhar](https://github.com/Yidhar), 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), [Minthybasis](https://civitai.com/user/Minthybasis), [Rakosz](https://civitai.com/user/Rakosz)