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Laxhar/noobai-XL-1.1

sourceHugging Faceotherupdated 1y agoView on Hugging Face
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Model Card

<h1 align="center"><strong style="font-size: 48px;">NoobAI XL 1.1</strong></h1>

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

  • —Model Type: Diffusion-based text-to-image generative model
  • —Fine-tuned from: Laxhar/noobai-XL-1.0

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 RangeQuality Tags
> 95thmasterpiece
> 85th, <= 95thbest quality
> 60th, <= 85thgood quality
> 30th, <= 60thnormal quality
<= 30thworst quality

Date tags

Year RangePeriod
2005-2010old
2011-2014early
2014-2017mid
2018-2020recent
2021-2024newest

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 dataset on Hugging Face
  • — Communication
  • —QQ Groups:
  • —427280545
  • —677964513
  • —852429527
  • —914818692
  • —635772191
  • —870086562

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

Contributors

  • —Narugo1992: Thanks to narugo1992 and the deepghs team for open-sourcing various training sets, image processing tools, and models.
  • —Onommai: Thanks to OnommAI for open-sourcing a powerful base model.
  • —V-Prediction: Thanks to the following individuals for their detailed instructions and experiments.