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bw_0088 · architecture_exterior

模型实际输入详情 · 两个模型的 inputs 文件逐字节一致,已核验。

原始题目全文

以下逐字展示 query.txt,保留原文语言;这是任务要求,并非生成结果或评分标准。

我们在给一个地产项目做展陈方案,下个月要投给主办方,得先拿一张塔楼的建筑表现图撑场面。主体参考这张图——一栋现代高层,造型是一个个立方模块沿竖向前后进退、局部往外悬挑,堆出那种错落的层叠感。外立面走浅灰带纹理的石材幕墙板,按方形网格分缝,中间穿插大面积落地玻璃和深凹的窗洞;挑几层做外挑的开放式阳台,配金属加玻璃的组合栏板,个别阳台点几株绿植和少量户外家具就行,其余该有的陈设你按常规补。周围补一圈低矮街区当环境背景,远处淡淡带一层山影和天际线即可,别抢主体。重点是整体比例和尺度得可信,几种材质之间要分得清——石材哑光带石纹、玻璃有反射微透、金属栏杆和植物各是各的质感。灯光走晴天略带薄雾的白天,暖白日光当主光、天空 HDRI 补光,整体柔和通透。相机放低做仰视透视,把方块的进退和悬挑关系顶出来。层数和整体尺寸你按比例定,不用卡精确数值;配色和具体风格也交给你把握,方向上做出点高级感就行。最后给我一张高分辨率的表现图,.blend 工程也留着,后面投标评审可能还要改机位。
下载 query.txt

原始参考素材

architecture_exterior原始参考图片
references/image_01.jpg · 点击查看原图

任务附件

本题没有额外附件。

本次运行附加的执行指令

这是自建 harness 传给两模型的共同执行指令,不属于原始题目。CPU 设置与个别原题 GPU 要求之间的差异,详见主页说明。

Complete the Blender creation task in /workspace/inputs/query.txt using all declared references and attachments in /workspace/inputs/input.json. Read the reference images with Read; for video, extract and inspect frames with ffmpeg and Read. Blender 4.2.10 is available as `blender` or /runtime/blender/blender. Python with Pillow/NumPy is available as `python`. You can write and run bpy scripts with background Blender. This machine uses CPU Cycles; use 8 threads, and inspect your renders before finishing. You have an 8-hour time budget. Fulfil the original requested deliverables, including animations and resolutions where specified. Save the editable primary project to /workspace/exports/final.blend, with requested images/videos and all texture dependencies inside /workspace/exports using relative paths or packed assets. Put temporary scripts and previews under /workspace/work. Do not finish while required rendering jobs are still running. Use only the provided task inputs, your tools, and your own creation work; evaluation is separate.

完整输入文件

下载本题完整输入 ZIP

文件(点击下载)大小
input.json164 B
instruction.html296,925 B
query.txt1,291 B
reference_images.base64.json293,272 B
references/image_01.jpg219,637 B
查看 input.json 文件清单
{
  "task_id": "bw_0088",
  "query_file": "query.txt",
  "files": [
    "references/image_01.jpg",
    "instruction.html",
    "reference_images.base64.json"
  ]
}

instruction.html 和 reference_images.base64.json 为输入目录内的原始文件,已保留供下载。本页不包含评测 rubric 或模型产物。