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

⚡ 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
- Download
anime_background_lora.safetensors
- Load in Wavespeed AI or compatible platform
- Set weight to 0.8
- Include
anim3bg trigger word in prompt
- 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)