ChenkinNoob-XL-V0.5

Long time no see, everyone! It's been a while since our last release, and today we are thrilled to bring you the brand new major version trained on top of V0.2: ChenkinNoob-XL-V0.5. This update focuses on improving overall aesthetics, reducing common AI artifacts, and enhancing practical usability for game art production and illustration workflows.

Key Updates & Features:

~12M Dataset Optimization: We removed some style-divergent images (<1M), retained our core 9M open-source anime dataset (Danbooru, with data cutoff up to Jan 2026), and added 2.17M strictly filtered open-source game concept designs and high-quality Western datasets. The total dataset is now around 12 million images.
Custom Training Architecture: To efficiently handle this massive dataset, we developed an exclusive training script from scratch. This allows us to better utilize Hierarchical Dropout and Repeat Tag Resampling, significantly improving the model's generalization.
Exclusive 8-in-1 ControlNet: Released alongside Chenkin-UniControl-XL.
- Highlight - Fuse Mode: Allows you to mix multiple ControlNet conditions simultaneously (e.g., Lineart + Depth + Pose) in a single pass without weight interference.
- Requirement: To use this in ComfyUI, you must install our exclusive plugin: ComfyUI-Advanced-ControlNet.

Recommended Settings:

Steps: 25 ~ 30 | CFG Scale: 5 ~ 6 | Sampler: Euler a
Positive Prompt: masterpiece, best quality, newest, high resolution, aesthetic, excellent, year 2026,
Negative Prompt: nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands,

Future Roadmap: To better achieve character and style transfer, our exclusive IP-Adapter (IPA) has officially entered the training schedule! Additionally, we are actively researching entirely new model architectures and hope to share these new developments with you later this year. Stay tuned!

V0.5 Acknowledgements:

Core Ecosystem: MIAOKA, silvermoong, nian__gao233, yuno779
Tech Advisors: @LAX, @Nebulae (Laxhar Lab)
Art Advisors: MLiang, BLACKDUO, Sdwang
Cover & Promo: poi, neko, MMX, and others
Discord Beta Testers: Bluvoll, Anzhc, Drac (Special Thanks), talan, Panchovix, itterative, Ryusho, Ly, Silvelter, and others
QQ Beta & Visuals: heathcliff, boundless, 2222k, suqingwei114514, 三费武装白色人种, vv--laov, and others
Community Support: 孤辰, 昊天, 米豆粒, 乾杯君 (Snke), 砚青, 双月丸‖soutsukimaru, 大尾立人间体, 青空, 喵九,and others. A huge thank you to all the friends who helped us throughout the training process!

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ChenkinNoob-XL-V0.2

ChenkinNoob-XL-V0.2 is now live on Civitai. This update builds on the noobai-XL-1.1 backbone while extending the Danbooru training set through 2025-11-23. Compared to V0.1, you can expect:

- Sharper character fidelity: better pose stability, facial consistency, and accessory detail thanks to refreshed captions and alignment tweaks.

- Prompt responsiveness: more reliable control over outfits, lighting, and color palettes, especially in multi-character prompts.

- Open pipeline refinements: updated default prompts/negative prompts, plus cleaner metadata to simplify LoRA or LyCORIS fine-tuning.

Recommended baseline:

CFG 5–6, 25–30 steps, Euler a, 1024×1024-class resolutions

Positive: high resolution, aesthetic, excellent, medium resolution, year 2025, newest

Negative: low resolution, e621, Furry, old

New Tag System

V0.2 introduces additional tags to better surface high-quality generations and recent-era aesthetics.


| Tag Type    | Label             | Description                                   |
| ----------- | ----------------- | --------------------------------------------- |
| Resolution  | **High Resolution**   | Image area ≥ 2048 px                          |
| Resolution  | **Medium Resolution** | 1024 px < image area < 2048 px                |
| Resolution  | **Low Resolution**    | Image area ≤ 1024 px                          |
| Aesthetic   | **Esthetic**          | Top 100k most liked Danbooru posts            |
| Aesthetic   | **Excellent**         | Top 1M most liked Danbooru posts              |
| Era         | **Year YYYY**         | Explicit year tag (e.g., `year 2025`)         |
| Era         | **Range: Newest**     | Aggregated label for 2022–2025 content        |
| Era         | **Range: Old**        | Aggregated label for 2018 and earlier content |

These labels appear in metadata and recommended prompts so creators can quickly filter for the visual qualities they need.

Stay tuned for V0.3 (ETA January 2026) and the forthcoming anime-focused SDXL all-in-one ControlNet tied to our 1.0 milestone. Join the conversation, share your renders, and let us know how V0.2 performs in your workflows!

V0.2 Contributors

Cover Art Providers (V0.2): poi, Sdwang, freewill, 一费白色人种, 十一, wa我我, 屋檐铃兰448, 11.7suki, 曾青等
Discord Closed Beta Reviewers (V0.2) (listed by join order): NukeA.I, 6DammK9, Talan, Ryusho, NAMAME, Anzhc, Ly, HyperClap, itterative, Chat Errꙫr, rred, Bluvoll, Void, Mirai, 𝕮𝖔𝖈𝖔𝕶𝖔𝖐𝖔 (dvxdvxdv). Your skill, passion, and fearless feedback make you the backbone of this open-source community—thank you for every priceless note that keeps the iterations moving forward.

ChenkinNoob-XL-V0.1

New Image Generation Model

ChenkinNoob-XL-V0.1 model is built upon the Noob XL architecture by continuing its training from the noobai-XL-1.1 checkpoint, utilizing an enhanced dataset that extends Danbooru2024 with additional data from August 2024 to September 2025. It upholds the high-quality performance of the Noob XL series and delivers exceptional image generation capabilities

Model Introduction

Model Details

Developed by: ChenkinNoob team
Model Type: Diffusion-based text-to-image generative model
Fine-tuned from: Laxhar/noobai-XL-1.1
Sponsored by from: 极逸 SOON (soonjy.com)
Independence Statement: ChenkinNoob team is an independent team; this project is not an official release of Laxhar Lab, but is built upon their open-source base model.

Participants and Contributors

Participants

Chenkin: Civitai | Huggingface
waww: Huggingface
leafmoone: Huggingface
heathcliff: Huggingface
tairitus: Huggingface
Ryan Corwin: Huggingface

Contributors

Special Thanks (Technical Support): @chinoll (Huggingface | GitHub) for providing long-term technical support and engineering assistance to the ChenkinNoob team.
Technical Advisors (Laxhar Lab): Special thanks to @LAX (LAX) and @Nebulae (Nebulae) from Laxhar Lab for serving as long-term advisors and providing continuous guidance on model design and training.
Art Promotion Guidance: MLiang, BLACKDUO, Sdwang, MIZhizhi
Cover Design: poi, neko, MMX and others
Promotional Video Production: 米豆粒, 衡鲍, 娜拉普 SenSen
DeepGHS: Thanks to the deepghs team (founded by narugo1992) for open-sourcing various training sets, image processing tools, and models.
Onommai: Thanks to OnommAI for open-sourcing a powerful base model.
Mikubill: Thanks to Mikubill for the Naifu trainer.
Community: Thanks to yiyi, 双月丸‖soutsukimaru, 天满, Seina_, 448, SenSen, 古川本铺, storyaura, M1nYue, Deta_DT, sheenderwn, MLiang, Sdwang, BLACKDUO, 杏仁豆腐, 孤辰,砚青 and others for providing cover art and promotional assets used throughout the campaign, and thanks to all group members for participating in the model's closed beta testing.

Communication

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.

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