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---
---
license: apache-2.0
base_model: Qwen/Qwen-VL
tags:
- lora
- qwen-image
- anime
- background
- visual-novel
language:
- en
pipeline_tag: text-to-image
library_name: peft
---
<div align="center">
### 🎨 Anime Visual Novel Backgrounds LoRA
[](https://opensource.org/licenses/Apache-2.0)
[](https://huggingface.co/Qwen/Qwen-VL)
[](#)
[](#version-history)
---
### ⚡ Current Version Stats
| Metric | Value |
|--------|-------|
| **Training Images** | 80 anime-style backgrounds generated by seedream-4 |
| **LoRA Rank** | 8 |
| **Training Steps** | 600 |
| **Base Model** | Qwen-Image-Edit |
| **Trigger Word** | `anim3bg` |
| **Recommended Weight** | 0.7 - 0.9 |
</div>
---
## 📊 Version History
<details open>
<summary><b>Version 2.0 (Current)</b></summary>
#### Training Configuration
- **Dataset:** 80 images
- **Steps:** 600
- **LoRA Rank:** 8
- **Learning Rate:** 0.0001
- **Batch Size:** 1
</details>
<details>
<summary><b>Version 1.0</b></summary>
#### Training Configuration
- **Dataset:** 80 images
- **Steps:** 1000
- **LoRA Rank:** 16
- **Learning Rate:** 0.0004
- **Batch Size:** 1
</details>
---
## 💬 Trigger Word
**Required**: `anim3bg`
---
## 🚀 Usage
**Simple Prompts:**
```
anim3bg, [location]
```
**Detailed Prompts:**
```
anim3bg, [detailed location description], [time], [weather], no characters, high quality
```
---
## 📥 Download & Use
1. Download `anime_background_lora.safetensors`
2. Load in Wavespeed AI or compatible platform
3. Set weight to 0.8
4. Include `anim3bg` trigger word in prompt
5. Generate
---
<div align="center">
## 📸 Example Outputs: Before vs After Comparison (Simple Prompts)
*Testing how well the LoRA performs with minimal prompt detail*
#### **Example 1:**
<table>
<tr>
<td width="50%" align="center">
<b>❌ Without LoRA</b><br>
<img src="example01_without_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anime-style background, library</code></sub><br><br>
</td>
<td width="50%" align="center">
<b>✅ With LoRA (trigger word 'anim3bg')</b><br>
<img src="example01_with_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anim3bg, library</code></sub><br><br>
</td>
</tr>
</table>
---
#### **Example 2:**
<table>
<tr>
<td width="50%" align="center">
<b>❌ Without LoRA</b><br>
<img src="example002_without_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anime-style background, beachside café</code></sub><br><br>
</td>
<td width="50%" align="center">
<b>✅ With LoRA (trigger word 'anim3bg')</b><br>
<img src="example002_with_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anim3bg, beachside café</code></sub><br><br>
</td>
</tr>
</table>
---
#### **Example 3:**
<table>
<tr>
<td width="50%" align="center">
<b>❌ Without LoRA</b><br>
<img src="example004_without_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anime-style background, city street at night</code></sub><br><br>
</td>
<td width="50%" align="center">
<b>✅ With LoRA (trigger word 'anim3bg')</b><br>
<img src="example004_with_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anim3bg, city street at night</code></sub><br><br>
</td>
</tr>
</table>
---
#### **Example 4:**
<table>
<tr>
<td width="50%" align="center">
<b>❌ Without LoRA</b><br>
<img src="example003_without_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anime-style background, forest path</code></sub><br><br>
</td>
<td width="50%" align="center">
<b>✅ With LoRA (trigger word 'anim3bg')</b><br>
<img src="example003_with_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anim3bg, forest path</code></sub><br><br>
</td>
</tr>
</table>
---
#### **Example 5:**
<table>
<tr>
<td width="50%" align="center">
<b>❌ Without LoRA</b><br>
<img src="example005_without_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anime-style background, train station</code></sub><br><br>
</td>
<td width="50%" align="center">
<b>✅ With LoRA (trigger word 'anim3bg')</b><br>
<img src="example005_with_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anim3bg, train station</code></sub><br><br>
</td>
</tr>
</table>
---
## 📸 Example Outputs: Before vs After Comparison (Detailed Prompts)
*Testing how well the LoRA handles complex, detailed descriptions*
#### **Example 6:**
<table>
<tr>
<td width="50%" align="center">
<b>❌ Without LoRA</b><br>
<img src="example09_without_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anime-style background, mountain lake at sunset, dark narrow japanese alley, neon signs with japanese text, vending machines, bicycle parked on street</code></sub><br><br>
</td>
<td width="50%" align="center">
<b>✅ With LoRA (trigger word 'anim3bg')</b><br>
<img src="example09_with_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anim3bg, mountain lake at sunset, dark narrow japanese alley, neon signs with japanese text, vending machines, bicycle parked on street</code></sub><br><br>
</td>
</tr>
</table>
---
#### **Example 7:**
<table>
<tr>
<td width="50%" align="center">
<b>❌ Without LoRA</b><br>
<img src="example10_without_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anime-style background, empty amusement park at sunrise, blanketed in snow, Ferris wheel half-frozen, colorful lights faintly glowing through the frost</code></sub><br><br>
</td>
<td width="50%" align="center">
<b>✅ With LoRA (trigger word 'anim3bg')</b><br>
<img src="example10_with_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anim3bg, empty amusement park at sunrise, blanketed in snow, Ferris wheel half-frozen, colorful lights faintly glowing through the frost</code></sub><br><br>
</td>
</tr>
</table>
---
#### **Example 8:**
<table>
<tr>
<td width="50%" align="center">
<b>❌ Without LoRA</b><br>
<img src="example009_without_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anime-style background, japanese shrine festival at night, festival food and game stalls on both sides, glowing orange paper lanterns overhead, fireworks in night sky</code></sub><br><br>
</td>
<td width="50%" align="center">
<b>✅ With LoRA (trigger word 'anim3bg')</b><br>
<img src="example009_with_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anim3bg, japanese shrine festival at night, festival food and game stalls on both sides, glowing orange paper lanterns overhead, fireworks in night sky</code></sub><br><br>
</td>
</tr>
</table>
---
#### **Example 9:**
<table>
<tr>
<td width="50%" align="center">
<b>❌ Without LoRA</b><br>
<img src="example007_without_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anime-style background, beach with white cloud, seagulls flying, beach umbrellas and chairs in distance, white foam on turquoise water</code></sub><br><br>
</td>
<td width="50%" align="center">
<b>✅ With LoRA (trigger word 'anim3bg')</b><br>
<img src="example007_with_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anim3bg, beach with white cloud, seagulls flying, beach umbrellas and chairs in distance, white foam on turquoise water</code></sub><br><br>
</td>
</tr>
</table>
---
#### **Example 10:**
<table>
<tr>
<td width="50%" align="center">
<b>❌ Without LoRA</b><br>
<img src="example008_without_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anime-style background, mystical waterfall scene at night, cascading down rocky cliff face, rainbow visible in the mist, turquoise blue pool at base</code></sub><br><br>
</td>
<td width="50%" align="center">
<b>✅ With LoRA (trigger word 'anim3bg')</b><br>
<img src="example008_with_lora.jpeg" width="100%"><br>
<sub>Prompt: <code>anim3bg, mystical waterfall scene at night, cascading down rocky cliff face, rainbow visible in the mist, turquoise blue pool at base</code></sub><br><br>
</td>
</tr>
</table>
---
# 🎨 [LoRA 名称] — Cinematic Anime Backgrounds (Outdoor)
## 📄 简介
此 LoRA 专注于生成**户外电影感(cinematic)动漫背景**:夕阳 / 金色时刻、画面感强的云与光线、宁静的日本郊区街景。
**触发词(Trigger)**: `shinkaibg`
---
## 🧪 对比实验说明
展示相同 seed、相同 prompt 在 **未应用 LoRA / 应用 LoRA** 下的差异;以及室内提示的过拟合测试(模型偏向户外氛围)。
---
## 🔁 Same Seed — Same Prompt 比较(示例)
**Prompt 示例:** `a quiet japanese street at sunset, cinematic lighting, painterly detail, shinkaibg`
| Prompt | Without LoRA | With LoRA |
|--------|--------------|----------|
| same seed, same prompt |  <br> *Without LoRA* |  <br> *With LoRA (`shinkaibg` applied)* |
**说明:** LoRA 版本通常会加入更柔和的光线过渡、更丰富的天空细节与更强的电影感(色彩与景深)。
---
## 🏠 室内过拟合测试(Indoor Overfitting Test)
**测试说明:** 使用相同 seed,四张图展示 `simple prompt` / `detailed prompt`,并比较有无 LoRA 的输出差异。
**Prompts 示例:**
- **simple:** `a cozy living room`
- **detailed:** `a cozy japanese-style living room with warm sunlight through window, tatami floor, shinkaibg`
| Type | Without LoRA | With LoRA |
|------|--------------|----------|
| Simple prompt |  <br> *No LoRA* |  <br> *With LoRA — 注意可能出现室外光效 / 窗外景观* |
| Detailed prompt |  <br> *No LoRA* |  <br> *With LoRA — 需更详尽描述以避免户外化 bias* |
**观察:** 若只使用简单室内 prompt,模型往往会“套用”户外 / 日落光线(显示过拟合)。详细 prompt 能降低但不完全消除该现象。
---
## ⚙️ 推荐参数(示例)
- LoRA 权重 (strength): `0.7` - `0.9`
- CFG Scale: `7` - `9`
- Sampler: `DPM++ 2M Karras`(示例)
- Resolution: `1024×1024`
---
## 🧾 标签与数据集信息
- 数据集规模:`~[填数字]` 张户外风景图
- 主要风格标签:`shinkaibg`, `cinematic`, `sunset`, `painterly`
- 注意:训练集中强烈偏向户外场景,导致 indoor prompt bias(详见上方测试)
---
## 🔍 使用示例(Prompt)
|