---
title: ChenkinNoob-XL-V0.2
canonical_url: "https://www.modelscope.ai/models/ChenkinLab/ChenkinNoob-XL-V0.2"
md_url: "https://www.modelscope.ai/models/ChenkinLab/ChenkinNoob-XL-V0.2.md"
repository: ChenkinLab/ChenkinNoob-XL-V0.2
last_updated: 2026-10-22
model_type:
  - diffusion
base_model:
  - Laxhar/noobai-XL-1.1
base_model_relation: finetune
parameters: 3.5B
tensor_type:
  - BF16
  - F32
library_name:
  - diffusers
  - lora
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
downloads: 36
stars: 0
tags:
  - Diffusers
  - Safetensors
  - text-to-image
  - image-generation
  - Anime
  - stable-diffusion-xl
  - stable-diffusion
  - noob
---

# ChenkinNoob-XL-V0.2

> ChenkinNoob-XL-V0.2 - An open-source model by ChenkinLab on ModelScope. ChenkinNoob is an independent open-source team continuing the noobai-XL-1.1 lineage. Version 0.2 officially released on 2025-12-25 and keeps the familiar high-quality aesthetics while…

ChenkinLab/ChenkinNoob-XL-V0.2 is a 3.5B-parameter machine learning model on ModelScope. derived from Laxhar/noobai-XL-1.1.

- **Repository**: ChenkinLab/ChenkinNoob-XL-V0.2
- **Parameters**: 3.5B
- **Base model**: Laxhar/noobai-XL-1.1
- **Tags**: Diffusers, Safetensors, text-to-image, image-generation, Anime, stable-diffusion-xl, stable-diffusion, noob
- **Downloads**: 36
- **Stars**: 0
- **Last updated**: 2026-10-22

Source: https://www.modelscope.ai/models/ChenkinLab/ChenkinNoob-XL-V0.2

---

<h1 align="center"><strong style="font-size: 48px;">ChenkinNoob-XL-V0.2</strong></h1>


<p align="center">
  <img src="https://cdn-uploads.huggingface.co/production/uploads/6443a1cd5af87c73bbb7df90/IF20tbXOSGGHjGcoPtZxl.jpeg" alt="ChenkinNoob-XL-V0.2 Cover" width="70%">
</p>

# Overview


ChenkinNoob is an independent open-source team continuing the noobai-XL-1.1 lineage. Version 0.2 officially released on **2025-12-25** and keeps the familiar high-quality aesthetics while integrating newer Danbooru data (extended through **2025-11-23**). Internal evaluations show noticeable gains over V0.1 in character consistency, detail rendition, and prompt fidelity.

# Model Introduction

## Model Details
- **Developed by**: [ChenkinNoob team](https://huggingface.co/ChenkinNoob)
- **Model Type**: Diffusion-based text-to-image generative model
- **Fine-tuned from**: Laxhar/noobai-XL-1.1
- **Sponsored by**: 极逸 SOON ([soonjy.com](https://soonjy.com))
- **Independence Statement**: The ChenkinNoob team operates independently; this release is not an official Laxhar Lab product but inherits their open-source foundations.

## Communication

QQ Groups: : 425395454

Discord: https://discord.gg/jzwzwyCKZ4

 
## Version Highlights
- **Base Model**: fine-tuned from Laxhar/noobai-XL-1.1 with ChenkinNoob training recipes.
- **Dataset Refresh**: incorporates the latest Danbooru samples up to 2025-11-23 for more contemporary subjects and trends.
- **Quality Focus**: preserves the “noob” visual DNA—clean composition, appealing palettes, and strong anatomy—while improving edge cases (hands, accessories, layered outfits).
- **Open Release**: model weights and training notes remain under the same fair-ai-public-license-1.0-sd terms.


## Recommended Use
- **CFG**: 5–6  
- **Steps**: 25–30  
- **Sampler**: Euler a (or comparable high-frequency samplers)  
- **Resolution**: total area ≈ 1024×1024 (768×1344, 832×1216, 896×1152, 1024×1024, 1152×896, 1216×832, 1344×768)
- **Positive Prompt Seeds**: `high resolution, aesthetic, excellent, medium resolution, year 2025, newest`
- **Negative Prompt Seeds**: `low resolution, e621, Furry, old`
- 
# New Tags in V0.2

| Tag Type | Label | Definition |
| :-- | :-- | :-- |
| Resolution | **High Resolution** | Image area ≥ 2048 px |
|  | **Medium Resolution** | 1024 px < image area < 2048 px |
|  | **Low Resolution** | Image area ≤ 1024 px |
| Aesthetic | **Esthetic** | Among the top 100k most liked posts on Danbooru |
|  | **Excellent** | Among the top 1M most liked posts on Danbooru |
| Era | **Year YYYY** | Explicit year tags such as `year 2025` |
|  | **Range: Newest** | Combined label for 2022–2025 content |
|  | **Range: Old** | Combined label for 2018 and earlier |

# Roadmap

## ChenkinNoob-XL-V0.2 (Released: 2025-12-25)
- Release package includes refreshed prompts, negative prompts, and example workflows.
- Ship notes detail the quantitative improvements over V0.1 plus recommended fine-tuning hooks for downstream creators.

## ChenkinNoob-XL-V0.3 (ETA: January 2026)
- Focused on further stability, inference efficiency, and better LoRA compatibility.
- Rolling preview builds will be shared with the Discord closed-beta group ahead of public release.

## Anime-focused SDXL All-in-one ControlNet
- Dedicated ControlNet designed for anime workflows (pose, layout, coarse shading) will ship alongside the ChenkinNoob-XL 1.0 stable release or the first production-ready milestone that meets quality gates.
- Development updates will be posted independently from the base model checkpoints so adopters can plan pipeline integrations.


# Participants and Contributors

## Participants

- **Chenkin:** [Civitai](https://civitai.com/user/Chenkin) | [Huggingface](https://huggingface.co/windsingai)
- **waww:** [Huggingface](https://huggingface.co/xuefei123456)
- **leafmoone:** [Huggingface](https://huggingface.co/leafmoone)
- **heathcliff:** [Huggingface](https://huggingface.co/heathcliff01)
- **tairitus:** [Huggingface](https://huggingface.co/tairitus)
- **Ryan Corwin:** [Huggingface](https://huggingface.co/Baoooooo)

## Contributors

- **Special Thanks (Technical Support)**: **@chinoll** ([Huggingface](https://huggingface.co/chinoll) | [GitHub](https://github.com/chinoll)) for providing long-term technical support and engineering assistance to the ChenkinNoob team.
- **Technical Advisors (Laxhar Lab)**: Special thanks to **@LAX** ([LAX](https://huggingface.co/LAXMAYDAY)) and **@Nebulae** ([Nebulae](https://huggingface.co/NebulaeWis)) from Laxhar Lab for serving as long-term advisors and providing continuous guidance on model design and training.
- **Art Promotion Guidance**: [**MLiang**](https://xhslink.com/m/1ZhZKh0kYGl), [**BLACKDUO**](https://www.xiaohongshu.com/user/profile/59356f8e82ec390f0542a139), [**Sdwang**](https://www.xiaohongshu.com/user/profile/5f8eabd5000000000101cbae), [**MIZhizhi**](https://xhslink.com/m/ZEB5dk8wn1)
- **Cover Design (V0.1)**: [**poi**](https://x.com/poi______1), [**neko**](https://xhslink.com/m/L5u1UXNt5F), [**MMX**](https://xhslink.com/m/7mvedTHx6Ry) and others
- **Promotional Video Production**: **米豆粒**, **衡鲍**, **娜拉普 SenSen**
- **AngelBottomless**: Heartfelt thanks to [AngelBottomless](https://huggingface.co/AngelBottomless), core contributor to the Illustrious series, for gifting the open-source community with a stellar foundation, sharing actionable guidance with the Chenkin team, and empowering ChenkinNoob-XL to grow. Wishing continuous success and joyful days ahead!
- **DeepGHS**: Thanks to the [deepghs](https://huggingface.co/deepghs) team (founded by [narugo1992](https://github.com/narugo1992)) for open-sourcing various training sets, image processing tools, and models.
- **Onommai**: Thanks to [OnommAI](https://onomaai.com/) for open-sourcing a powerful base model.
- **Mikubill**: Thanks to [Mikubill](https://github.com/Mikubill) for the [Naifu](https://github.com/Mikubill/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.

### 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.