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.safetensorsBase Model : Z-Image-TurboCore 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.
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 accuracyLighting Control : Subtle shadows and highlights create depthTexture Quality : Fabric folds and skin surfaces show high-frequency details
z-image_00008_ 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 elementsColor Contrast : Black clothing against white snow creates visual impactDynamic Elements : Snow particles and fabric movement add life to the scene
z-image_00006_ 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 surfacesComposition : Close-up framing emphasizes facial expressions and water interaction
z-image_00019_ 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 shadowsComposition : Casual pose against coastal elements creates dynamic framingDetails : Focus on subtle anatomical features and fabric textures
z-image_00028_ Example 5: Different Style Grid
Inference Style Dataset : demonstrates inference samples of this lora model in different style.
Xiang different style Grid Image
ComfyUI_00001_ (5)
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.
Xiang different style Grid Image Transformed by Qwen-Image-i2L
Upper as Style reference, Lower left as Source Image, Lower right as Target Image
ComfyUI_temp_ujrpy_00001_
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.
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.
Example 9: POV Touch Grid
Inference POV Dataset : demonstrates inference samples of this lora model in pov pose domain.
Xiang POV Touch Grid Image
ComfyUI_00001_ (4)
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 architectureTraining 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 style0.9-1.0 : 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
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:
王翔数据集头部
Texture Quality : Enhanced skin, hair, and fabric renderingPose 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.
