### **LoRA Model Card**: `svjack/Qwen_Image_4_Grid_Display_Lora` #### **Unified Multi-Grid Concept Synthesis** **Base Model**: `Qwen-Image` (Multi-modal Vision-Language Architecture) **Core Function**: Generates **4 cohesive image grids** with unified style, composition, and thematic continuity for rapid design exploration. **Key Strengths**: - **Layout Consistency**: Seamless alignment of color palettes, perspective, and visual motifs across all grid cells. - **Style Hybridization**: Integrates diverse LoRA adapters for specialized effects (e.g., anime landscapes, cyberpunk textures). - **Concept Packaging**: Transforms abstract ideas into 4-variant visual prototypes for design workflows. - **Efficiency Optimization**: Parallel generation of 4 images with shared latent space constraints. **MayBe an Inverse Problem**: - **Scalable Group Inference**: Treat outputs as a set; formulate group inference as a Quadratic Integer Programming (QIP) problem; scale efficiently with progressive pruning. - **Link**: https://github.com/GaParmar/group-inference --- ### **Adapter Configuration Guide** | Adapter Name | Role | Recommended Weight | |-------------------------------------|----------------------------------|-------------------| | `Four_qwen_image_lora-step00002920.safetensors` | **Grid Orchestration** | 1.0 (Mandatory) | | `qwen-image-japanese-text-lora-step00017000.safetensors` | Traditional Japanese Aesthetics | 1.0 | | `qwen_image_anime_landscape_lora_v1_000002000.safetensors (weight = 1.5)` | Anime-Scene Enhancement | 1.0-1.5 | | `qwen_image_infinite_future_lora_v1_000002750.safetensors` | Cyberpunk/Mecha Elements | 1.0-1.5 | | `qwen_image_black_white_naoki_urasawa_v1.safetensors` | Manga Monochrome Stylization | 1.0-1.5 | --- ### **Optimized Example Prompts** #### **Example 1: Japanese Doll Collection** **Adapters**: - `Four_qwen_image_lora` (1.0) - `qwen-image-japanese-text-lora` (1.0) **Prompt**: ``` "In the style of GPT-4o-Design-Images, Generate 4 image samples for the current design concept and piece them into 4 square blocks." 1、神社外盛开地樱花下,神社鸟居前,展示传统日式娃娃:穿十二单衣的皇室风格女娃娃,服饰绣有平安时代传统纹样,娃娃手持桧扇。 2、神社外盛开地樱花下,神社鸟居前,展示传统日式娃娃:宫廷女官人偶,分别持酒器、乐器和文书,服饰为渐变樱色袿袴。 3、神社外盛开地樱花下,神社鸟居前,展示传统日式娃娃:女乐师人偶,持筝、琵琶、笛等雅乐乐器,着萌黄色狩衣。 4、神社外盛开地樱花下,神社鸟居前,展示传统日式娃娃:宫女人偶,迷你厨具和牛车模型,两侧立着金屏风与纸灯笼。 ``` **Key Features**: - Unified backdrop: Torii gate + cherry blossom saturation - Consistent doll proportions and fabric texture - Symmetric composition with radial focal points ![image/png](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/XRZ5O2wcAo_q7IwZOJHFw.png) --- #### **Example 2: Cybernetic Vehicle Breakout** **Adapters**: - `Four_qwen_image_lora` (1.0) - `qwen_image_infinite_future_lora` (1.2) **Prompt**: ``` "In the style of GPT-4o-Design-Images, Generate 4 image samples for the current design concept and piece them into 4 square blocks." 1、金属质感的IPad屏幕内部,一个立体四驱车正在从点亮的屏幕中跃出: 金属边框iPad屏幕亮起,黑色奥迪R8车体搭配橙黄条纹冲破屏幕:车头尖锐如匕首,尾部45°上翘露出碳纤维扩散器,轮胎带立体尖刺纹理;屏幕背景为蓝色电路板光效,裂痕处散发金色粒子; 2、金属质感的IPad屏幕内部,一个立体四驱车正在从点亮的屏幕中跃出: 金属边框iPad屏幕内红黄撞色宝马M4高速跃出:方正硬朗的车身棱角分明,车顶流线贴纸呈动态模糊,轮毂泛起银色金属反光;背景为霓虹赛道投影,屏幕裂纹泛紫光; 3、金属质感的IPad屏幕内部,一个立体四驱车正在从点亮的屏幕中跃出: iPad屏幕被白色保时捷911撞裂:流线型车身覆盖蓝色闪电浮雕纹路,可拆卸尾翼悬浮展开,大尺寸轮胎碾压处迸发冰晶特效;背景是深空粒子漩涡; 4、金属质感的IPad屏幕内部,一个立体四驱车正在从点亮的屏幕中跃出: 半透明红蓝车壳奔驰AMG GT撕裂屏幕跃出:内部V8引擎结构透出机械红光,火焰轮毂旋转残留轨迹,分体车灯射出激光;背景为全息齿轮hologram,边框裂缝溢出蓝电火花。 ``` **Key Features**: - Shared "shattered glass" fracture pattern - Dynamic vehicle angles at 45° trajectory - Synced particle effects (gold/blue sparks) ![image/png](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/EregZTffq073ZxPwsl0m3.png) --- #### **Example 3: Snow Globe LEGO Series** **Adapters**: - `Four_qwen_image_lora` (1.0) **Prompt**: ``` "In the style of GPT-4o-Design-Images, Generate 4 image samples for the current design concept and piece them into 4 square blocks." 1、下雪的水晶球,内部为乐高玩具:包含大象、长颈鹿等15种动物模型和可拼砌的游览车。通过大颗粒积木模拟喂食、清洁等互动场景。 2、下雪的水晶球,内部为乐高玩具:海盗船、幽灵岛或骷髅要塞。船体设计含可升降帆布、隐藏宝藏舱和可拆卸桅杆。 3、下雪的水晶球,内部为乐高玩具:伦敦地标建筑泰晤士河上的塔桥。套装包含4285块积木,细节高度还原,如可开合的桥面、哥特式塔楼及微型车辆。 4、下雪的水晶球,内部为乐高玩具:龙与地下城,包含6个人仔及大量奇幻场景元素,如红龙巢穴、宝箱与陷阱机关。 ``` **Key Features**: - Identical snow density and crystal ball refraction - Minifigure scale consistency (1:87 ratio) - Thematic color coding per globe (blue/green/red/gold) ![image/png](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/nX0MNtGP-2SSYEqvKWgcI.png) --- #### **Example 4: Anime Waterdrop Landscapes** **Adapters**: - `Four_qwen_image_lora` (1.0) - `qwen_image_anime_landscape_lora` (1.5) **Prompt**: ``` "In the style of GPT-4o-Design-Images, Generate 4 image samples for the current design concept and piece them into 4 square blocks." 1、一个占据整个画面的巨大圆形水滴,水滴下是一个3D立体动漫画面,由水滴的弧度凸显出立体性:anime style, 晨光穿透薄雾洒落樱花山谷,粉白花瓣覆盖蜿蜒溪流,朱红拱桥横跨两岸,远处青山层叠如黛;卷轴边缘泛黄,金色云纹浮动 2、一个占据整个画面的巨大圆形水滴,水滴下是一个3D立体动漫画面,由水滴的弧度凸显出立体性:anime style, 暮色中的樱花湖畔,橙红晚霞浸染水面,青石小径延伸至红木舟停泊处,花瓣飘落涟漪;卷轴两侧题有银色诗句残影 3、一个占据整个画面的巨大圆形水滴,水滴下是一个3D立体动漫画面,由水滴的弧度凸显出立体性:anime style, 月下荧光樱花林,深蓝夜幕中花瓣如星闪烁,石灯笼沿苔藓小径排列,微光映照飘雪般的落英;卷轴裱布呈暗红织锦纹理 4、一个占据整个画面的巨大圆形水滴,水滴下是一个3D立体动漫画面,由水滴的弧度凸显出立体性:anime style, 晨雾缭绕的樱花台地,乳白雾气缠绕青松,悬崖观景台俯瞰云海,风卷起花瓣如粉色浪涛;卷轴轴头为青玉雕花,边缘水墨晕染 ``` **Key Features**: - Curvature lens effect across all droplets - Shared scroll border design with variations - Time-of-day progression (dawn → dusk → night → dawn) ![image/png](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/ajq_7pKsLxrmy5jR8HP5N.png) --- #### **Example 5: Monochrome Robot Narrative** **Adapters**: - `Four_qwen_image_lora` (1.0) - `qwen_image_black_white_naoki` (0.9) **Prompt**: ``` "In the style of GPT-4o-Design-Images, Generate 4 image samples for the current design concept and piece them into 4 square blocks." 1、日式黑白漫画:一个机器人在月下躺在沙漠里。周围是仙人掌和月色。 2、日式黑白漫画:一个戴眼镜的男孩接近沙漠中躺着的机器人,在机器人身上进行修理。 3、日式黑白漫画:机器人醒来,头边有一个白色气泡,里面有文字“谢谢!” 4、日式黑白漫画:男孩和机器人手拉手走向远处的绿洲。 ``` **Key Features**: - Consistent Urasawa-style screentone patterns - Progressive panel sequencing (isolated → interaction → resolution) - Shadow density gradient matching time progression ![image/png](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/kcrg9XjlEQlUMPjwTTOu6.png) --- ### **Technical Parameters** | Setting | Value | Notes | |------------------|-------------------|----------------------------------------| | **Resolution** | 1024x1024 | Optimal grid detail retention | | **CFG Scale** | 7.5 | Balances creativity vs. prompt fidelity| | **Sampler** | DPM++ 2M Karras | Preserves fine linework | | **Steps** | 25 | Critical for texture coherence | | **LoRA Rank (r)**| 32 | High complexity demands (see ) | | **LoRA Alpha** | 64 | α=2r for multi-adapter fusion (see ) | --- ### **Performance Profile** - **VRAM Usage**: ~18GB at 1024x1024 (RTX 4090) - **Generation Speed**: 12-18 sec/grid (4 images) - **Troubleshooting**: - **Grid Misalignment**: Add `4x4 uniform matrix, isometric perspective` to prompt - **Style Bleed**: Reduce non-core LoRA weights by 0.3 - **Color Inconsistency**: Enable `--color_sync_node` in inference pipeline ### **License** Apache 2.0 (Commercial use permitted) **Community Hub**: https://huggingface.co/svjack/Qwen_Image_4_Grid_Display_Lora ---