YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/model-cards#model-card-metadata)
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.
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
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)
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)
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)
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
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
- Grid Misalignment: Add
License
Apache 2.0 (Commercial use permitted)
Community Hub: https://huggingface.co/svjack/Qwen_Image_4_Grid_Display_Lora
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support