---
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_v1.0
pipeline_tag: text-to-image
tags:
- Diffusers
- Safetensors

---


# Model Description

This image generation model, based on Laxhar/noobai-XL_v1.0, leverages full Danbooru and e621 datasets with native tags and natural language captioning.

Implemented as a v-prediction model (distinct from eps-prediction), it requires specific parameter configurations - detailed in following sections. 

Special thanks to my teammate euge for the coding work, and we're grateful for the technical support from many helpful community members.

# ⚠️ IMPORTANT NOTICE ⚠️
## **Parameters differ from traditional eps-prediction models!**




# Model Introduction

## Model Details
- **Developed by**: [Laxhar Lab](https://huggingface.co/Laxhar)
  
- **Model Type**: Diffusion-based text-to-image generative model

- **Fine-tuned from**: Laxhar/noobai-XL_v1.0
   
- **Sponsored by from**: [Lanyun Cloud](https://cloud.lanyun.net)

**Communication**

* **QQ Groups:**
    * 875042008
    * 914818692
    * 635772191

* **Discord:** [Laxhar Dream Lab SDXL NOOB](https://discord.com/invite/DKnFjKEEvH)

  
# Recommended Settings

## Parameters
- CFG: 5 ~ 6
- Steps: 25 ~ 30
- Sampling Method:Euler a
- Resolution:aim for around 1024\*1024
## Prompts
- Prompt:
```
masterpiece, best quality, newest, absurdres, highres, safe,
```
- Negative Prompt:
```
 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
```

# 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

# 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

For the open source community, you need to:

- 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)
* **li_li:** [Civitai](https://civitai.com/user/li_li)
* **nebulae:** [Civitai](https://civitai.com/user/kitarz)
* **Chenkin:** [Civitai](https://civitai.com/user/Chenkin)
* **Euge:** [Civitai](https://civitai.com/user/Euge_)


## Contributors

* **Narugo1992:**  Thanks to narugo1992 and the deepghs team for open-sourcing various training sets, image processing tools, and models.
    * [GitHub](https://github.com/narugo1992)
    * [Hugging Face](https://huggingface.co/deepghs)

* **Naifu:** Training scripts
    * [GitHub](https://github.com/Mikubill/naifu)

* **Onommai:** Thanks to onommai for open-sourcing a powerful base model.
    * [Onommai](https://onomaai.com/)

* **aria1th261:** [Civitai](https://civitai.com/user/aria1th261)
* **neggles:** [GitHub](https://github.com/neggles/neurosis)
* **parsee-mizuhashi:** [Hugging Face](https://huggingface.co/parsee-mizuhashi)
* **bluvoll:** [Civitai](https://civitai.com/user/bluvoll)
* **sdtana:** [Hugging Face](https://huggingface.co/sdtana)
* **chewing:** [Hugging Face](https://huggingface.co/chewing)
* **irldoggo:** [GitHub](https://github.com/irldoggo)
* **reoe:** [Hugging Face](https://huggingface.co/reoe)
* **kblueleaf:** [Civitai](https://civitai.com/user/kblueleaf)
* **Yidhar:** [GitHub](https://github.com/Yidhar)
* **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)