# LoRA Model Card: `svjack/Z_Image_Turbo_Xiang_Lora`
## Character Wang Xiang, Art Synthesis with Aesthetic Portraits
**Fine-tuned Adapter**: `xiang_noclothes_lora_v1_000008000.safetensors`
**Base Model**: Z-Image-Turbo
**Core Strengths**:
- **Character Consistency**: Maintains detailed facial features (fair skin, subtle facial contours) across diverse settings and lighting conditions.
- **Aesthetic Detailing**: Captures delicate textures of skin, hair, and fabrics with nuanced lighting effects.
- **Dynamic Poses**: Handles complex human poses with natural anatomical proportions and expressive gestures.
- **Adult Artistic Style**: Sensual artistic style through sexy pose, fabric movement and lighting.
**Inference Dataset**: demonstrates inference samples of this lora model.
- https://huggingface.co/datasets/svjack/Xiang_Z_Image_Turbo_different_style_Images
- https://huggingface.co/datasets/svjack/Xiang_Z_Image_Turbo_Tease_Images
- https://huggingface.co/datasets/svjack/Xiang_POV_Touch_Z_Image_Turbo_Images
- https://huggingface.co/datasets/svjack/Xiang-Style-Transfer-Qwen-Image-i2L
- https://huggingface.co/datasets/svjack/Xiang-sports-Qwen-Image-i2L-Videos
---
## Optimized Text-to-Image Prompts
### Example 1: Intellectual Elegance
**Prompt**:
```
王翔戴着银色细框眼镜，镜片后深邃的眼眸泛着微光，灰色高领帽衫垂落的衣角随着他垂眸时的呼吸微微起伏，
露出锁骨处若隐若现的皮肤光泽。他指尖无意识地摩挲着帽衫褶皱，腕表带滑过手背时带起一阵若有似无的香气，
垂落的发丝扫过锁骨凹陷处，喉结在吞咽动作中泛起微红，睫毛在眼下投出细碎阴影，仿佛随时会从镜片后溢出灼热的凝视。
```
**Key Characteristics**:
- **Accessory Detailing**: Glasses and watch are rendered with material accuracy
- **Lighting Control**: Subtle shadows and highlights create depth
- **Texture Quality**: Fabric folds and skin surfaces show high-frequency details
---
### Example 2: Winter Scene
**Prompt**:
```
王翔站在雪地中央，深黑色风衣下摆被寒风掀起一角，露出内衬的黑色毛衣勾勒出修长的身形轮廓，
白围巾垂落至腰际，雪色绒毛在冷光中泛着柔光。他微微侧头凝视镜头，睫毛在面颊投下细碎阴影，
指尖无意识地摩挲着风衣扣子，喉结随着呼吸轻轻起伏，白皙皮肤在雪地映衬下透出冷冽光泽。
当雪粒掠过他垂落的发梢时，他忽然抬手将围巾轻轻挽起，露出锁骨处若隐若现的肌肤，指尖划过下巴时，
唇角扬起一抹慵懒的弧度，仿佛整个冬日的寒意都凝固在他凝视镜头的瞬间。
```
**Key Characteristics**:
- **Environmental Integration**: Character naturally blends with winter elements
- **Color Contrast**: Black clothing against white snow creates visual impact
- **Dynamic Elements**: Snow particles and fabric movement add life to the scene
---
### Example 3: Aquatic Atmosphere
**Prompt**:
```
王翔身穿被水渗透的白色半袖，发丝垂落肩头泛着水光，指尖轻点水面荡开涟漪，
喉结在湿润的肌肤下若隐若现，修长双腿交叠间白皙脚踝泛着珍珠光泽，唇角勾起慵懒弧度凝视镜头，
腰腹处三角内裤勾勒出若隐若现的轮廓，水珠顺着锁骨滑落锁骨凹陷处，
发梢垂落遮住半张脸却掩不住眼尾挑起的魅惑光晕。
```
**Key Characteristics**:
- **Atmosphere**: Intimate setting with reflective surfaces
- **Composition**: Close-up framing emphasizes facial expressions and water interaction
---
### Example 4: Coastal Portrait
**Prompt**:
```
王翔，正面面向镜头，白皙的肌肤在阳光下泛着柔和的光泽，黑色半截袖勾勒出修长的臂膀，
袖口微微卷起露出细腻的手腕。他慵懒地倚着礁石，黑色三角内裤在海风中若隐若现，
腰线处的弧度随着他轻抬下巴的动作若隐若现。海浪声中，他忽然侧头露出耳后迷人的弧度，
发丝被海风吹起时露出锁骨处浅浅的酒窝，指尖无意识地摩挲着被晒得微红的脚踝，尾音带着挑逗的笑意。
```
**Key Characteristics**:
- **Lighting**: Soft sunlight enhances skin texture and creates natural shadows
- **Composition**: Casual pose against coastal elements creates dynamic framing
- **Details**: Focus on subtle anatomical features and fabric textures
---
### Example 5: Different Style Grid
**Inference Style Dataset**: demonstrates inference samples of this lora model in different style.
- https://huggingface.co/datasets/svjack/Xiang_Z_Image_Turbo_different_style_Images
- Xiang different style Grid Image
---
### Example 6: Qwen-Image-i2L (image to lora) Different Style Transform Grid
**Inference Style Transform Dataset**: demonstrates inference samples of images produced by this lora model in different style transformed by Qwen-Image-i2L.
- https://huggingface.co/datasets/svjack/Xiang-Style-Transfer-Qwen-Image-i2L
- Xiang different style Grid Image Transformed by Qwen-Image-i2L
- Upper as Style reference, Lower left as Source Image, Lower right as Target Image
---
### Example 7: Xiang Sports Qwen-Image-i2L (image to lora) Different Style Grid Videos
**Inference Style Transform Video Dataset**: demonstrates inference samples of images produced by this lora model in different style transformed by Qwen-Image-i2L into sports video.
- https://huggingface.co/datasets/svjack/Xiang-sports-Qwen-Image-i2L-Videos
- Xiang Sports Qwen-Image-i2L Style Grid Video
---
### Example 8: Adult Artistic Tease Grid
**Inference Tease Dataset**: demonstrates inference samples of this lora model in sexy tease pose domain.
- https://huggingface.co/datasets/svjack/Xiang_Z_Image_Turbo_Tease_Images
- Xiang Tease Grid Image
---
### Example 9: POV Touch Grid
**Inference POV Dataset**: demonstrates inference samples of this lora model in pov pose domain.
- https://huggingface.co/datasets/svjack/Xiang_POV_Touch_Z_Image_Turbo_Images
- Xiang POV Touch Grid Image
---
## Technical Parameters
| Setting | Recommendation | Notes |
|------------------|------------------|----------------------------------------|
| **Resolution** | 1280×2048 | Optimal for portrait details |
| **CFG Scale** | 7.0 | Balances creativity & anatomical accuracy |
| **Sampler** | DPM++ 2M Karras | Preserves skin textures and fabric details |
| **Steps** | 8-20 | Ensures facial feature and clothing fidelity |
| **LoRA Weight** | 0.7-1.0 (init with 0.9) | Adjust for desired character strength |
---
## Performance Profile
- **VRAM Consumption**: ~18-22GB (depending on base model)
- **Inference Speed**: Optimized for Z-Image-Turbo's efficient architecture
- **Training Data**: Focused on character consistency and aesthetic portraiture
---
## Usage Guidelines
### Trigger Words
- Use "王翔" as the primary trigger for character consistency
- Include descriptive terms for specific aesthetics (e.g., "soft lighting", "water droplets", "snow particles")
### Weight Adjustment
- **0.7-0.8**: Subtle character influence, blends with base model style
- **0.9-1.0**: Strong character presence, maintains distinctive features
- **>1.0**: Experimental, may enhance specific characteristics
### Compatible Models
Designed for optimal performance with Z-Image-Turbo base model, but compatible with other realistic vision models through weight adjustment.
---
## License
**CC-BY-NC-SA 4.0** (Non-commercial, share-alike)
**Community Hub**: https://huggingface.co/svjack/Z_Image_Turbo_Xiang_Lora/discussions
---
## Training Methodology
This LoRA adapter was trained using low-rank adaptation techniques focusing on:
- **Character Consistency**: Maintaining stable identity and features across varied prompts.
character has face:
- **Texture Quality**: Enhanced skin, hair, and fabric rendering
- **Pose Variety**: Supports multiple angles and expressions while preserving identity
The model demonstrates Z-Image-Turbo's capabilities in handling complex human portraits with aesthetic sensitivity, particularly excelling in lighting and texture reproduction.