> ## Documentation Index
> Fetch the complete documentation index at: https://dripart-docs-recommend-assets-api.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# ComfyUI NewBie-image-Exp0.1 工作流示例

> NewBie-image-Exp0.1 是一个基于 Next-DiT 架构的 35 亿参数动漫风格文生图模型，针对高质量动漫图像生成进行了优化，支持 XML 结构化提示词。

**NewBie-image-Exp0.1** 是由 NewBieAI Lab 开发的 35 亿参数 DiT 模型，专为动漫风格文生图设计。基于 Next-DiT 架构构建，能够生成细节丰富、视觉效果出色的动漫图像。

**核心特性**：

* **35 亿参数模型**：高效且强大的模型规模，适合高质量动漫生成
* **Next-DiT 架构**：基于 Lumina 架构研究，采用全新设计的 NewBie 架构
* **双文本编码器**：使用 Gemma3-4B-it 作为主编码器，配合 Jina CLIP v2 提升提示词理解能力
* **FLUX VAE**：采用 FLUX.1-dev 16 通道 VAE，呈现更丰富的色彩和更精细的纹理细节
* **XML 结构化提示词**：支持 XML 格式，实现更好的注意力绑定和属性解耦

**相关链接**：

* [GitHub](https://github.com/NewBieAI-Lab/NewBie-image-Exp0.1)
* [Hugging Face](https://huggingface.co/NewBie-AI/NewBie-image-Exp0.1)
* [入门指南](https://ai.feishu.cn/wiki/P3sgwUUjWih8ZWkpr0WcwXSMnTb)

## NewBie-image 文生图工作流

<a className="prose" target="_blank" href="https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/templates/image_newbieimage_exp0_1-t2i.json" style={{ display: 'inline-block', backgroundColor: '#0078D6', color: '#ffffff', padding: '10px 20px', borderRadius: '8px', borderColor: "transparent", textDecoration: 'none', fontWeight: 'bold', marginRight: '10px'}}>
  <p className="prose" style={{ margin: 0, fontSize: "0.8rem" }}>下载 JSON 工作流文件</p>
</a>

<a className="prose" target="_blank" href="https://cloud.comfy.org/?template=image_newbieimage_exp0_1-t2i&utm_source=docs" style={{ display: 'inline-block', backgroundColor: '#28a745', color: '#ffffff', padding: '10px 20px', borderRadius: '8px', borderColor: "transparent", textDecoration: 'none', fontWeight: 'bold'}}>
  <p className="prose" style={{ margin: 0, fontSize: "0.8rem" }}>在 ComfyUI Cloud 上运行</p>
</a>

<Tip>
  <Tabs>
    <Tab title="Portable or self deployed users">
      Make sure your ComfyUI is updated.

      * [Download ComfyUI](https://www.comfy.org/download)
      * [Update Guide](/installation/update_comfyui)

      Workflows in this guide can be found in the [Workflow Templates](/interface/features/template).
      If you can't find them in the template, your ComfyUI may be outdated. (Desktop version's update will delay sometime)

      If nodes are missing when loading a workflow, possible reasons:

      1. You are not using the latest ComfyUI version (Nightly version)
      2. Some nodes failed to import at startup
    </Tab>

    <Tab title="Desktop or Cloud users">
      * The Desktop is base on ComfyUI stable release, it will auto-update when there is a new Desktop stable release available.
      * [Cloud](https://cloud.comfy.org) will update after ComfyUI stable release.

      So, if you find any core node missing in this document, it might be because the new core nodes have not yet been released in the latest stable version. Please wait for the next stable release.
    </Tab>
  </Tabs>
</Tip>

## 模型下载链接

**text\_encoders**

* [gemma\_3\_4b\_it\_bf16.safetensors](https://huggingface.co/Comfy-Org/NewBie-image-Exp0.1_repackaged/resolve/main/split_files/text_encoders/gemma_3_4b_it_bf16.safetensors)
* [jina\_clip\_v2\_bf16.safetensors](https://huggingface.co/Comfy-Org/NewBie-image-Exp0.1_repackaged/resolve/main/split_files/text_encoders/jina_clip_v2_bf16.safetensors)

**diffusion\_models**

* [NewBie-Image-Exp0.1-bf16.safetensors](https://huggingface.co/Comfy-Org/NewBie-image-Exp0.1_repackaged/resolve/main/split_files/diffusion_models/NewBie-Image-Exp0.1-bf16.safetensors)

**vae**

* [ae.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors)

**模型存放位置**

```
ComfyUI/
├── models/
│   ├── text_encoders/
│   │      ├── gemma_3_4b_it_bf16.safetensors
│   │      └── jina_clip_v2_bf16.safetensors
│   ├── diffusion_models/
│   │      └── NewBie-Image-Exp0.1-bf16.safetensors
│   └── vae/
│          └── ae.safetensors
```

## 提示词格式

NewBie-image 是一个针对角色生成优化的动漫图像生成模型。它使用 XML 结构化提示词进行训练，每个 `<>` 标签定义一个类别（如 `<appearance>`、`<clothing>`），`</>` 作为结束标记。标签内部使用标准的 Danbooru 标签。这种结构能够精确控制多角色场景，实现更好的属性绑定。

完整的提示词编写指南请参阅[官方文档](https://ai.feishu.cn/wiki/NZl9wm7V1iuNzmkRKCUcb1USnsh)。

NewBie-image-Exp0.1 支持三种提示词格式：

* **自然语言**：标准文本描述
* **标签**：Danbooru 风格标签
* **XML 结构化格式**：推荐用于多角色场景

### XML 结构化提示词

对于多角色场景，使用 XML 结构化提示词通常能获得更准确的图像生成结果，具有更好的注意力绑定和属性解耦效果。

```xml theme={null}
<character_1>
<n>$character_1$</n>
<gender>1girl</gender>
<appearance>chibi, red_eyes, blue_hair, long_hair, hair_between_eyes, head_tilt, tareme, closed_mouth</appearance>
<clothing>school_uniform, serafuku, white_sailor_collar, white_shirt, short_sleeves, red_neckerchief, bow, blue_skirt, miniskirt, pleated_skirt, blue_hat, mini_hat, thighhighs, grey_thighhighs, black_shoes, mary_janes</clothing>
<expression>happy, smile</expression>
<action>standing, holding, holding_briefcase</action>
<position>center_left</position>
</character_1>

<character_2>
<n>$character_2$</n>
<gender>1girl</gender>
<appearance>chibi, red_eyes, pink_hair, long_hair, very_long_hair, multi-tied_hair, open_mouth</appearance>
<clothing>school_uniform, serafuku, white_sailor_collar, white_shirt, short_sleeves, red_neckerchief, bow, red_skirt, miniskirt, pleated_skirt, hair_bow, multiple_hair_bows, white_bow, ribbon_trim, ribbon-trimmed_bow, white_thighhighs, black_shoes, mary_janes, bow_legwear, bare_arms</clothing>
<expression>happy, smile</expression>
<action>standing, holding, holding_briefcase, waving</action>
<position>center_right</position>
</character_2>

<general_tags>
<count>2girls, multiple_girls</count>
<style>anime_style, digital_art</style>
<background>white_background, simple_background</background>
<atmosphere>cheerful</atmosphere>
<quality>high_resolution, detailed</quality>
<objects>briefcase</objects>
<other>alternate_costume</other>
</general_tags>
```

### XML 标签参考

| 标签             | 描述                 |
| -------------- | ------------------ |
| `<n>`          | 角色名称/标识符           |
| `<gender>`     | 角色性别（1girl、1boy 等） |
| `<appearance>` | 外貌特征（头发、眼睛、体型）     |
| `<clothing>`   | 服装和配饰              |
| `<expression>` | 面部表情               |
| `<action>`     | 姿势和动作              |
| `<position>`   | 图像中的位置             |
| `<count>`      | 角色数量               |
| `<style>`      | 艺术风格               |
| `<background>` | 背景描述               |
| `<atmosphere>` | 整体氛围               |
| `<quality>`    | 质量标签               |
| `<objects>`    | 场景中的物品             |
| `<other>`      | 其他标签               |