AI‑Assisted Design: From a Rough 3D Sketch to Rapid Renderings for Industrial Designers

The author, Design Station, showcases a complete AI‑assisted design pipeline built on the GenVizu one‑stop AIGC platform ( https://genvizu.com). The goal is to help industrial or e‑commerce designers quickly produce a full set of visual assets starting from a rough 3D sketch.

Step 1: 3D Model Sketch

A coarse 3D model with key shapes and colors is created in Blender and exported as a GLB file. The model serves as a precise input for later AI control.

Step 2: Import into GenVizu Canvas

Open the GenVizu website, switch to Canvas mode, and drag‑and‑drop the GLB file (or click “Add 3D Model”). The model appears on the canvas ready for AI actions.

Step 3: Create the Main Render

Rotate the model to a desired angle, then open the Action panel and select the GPT Image 2 model. The prompt used is:

这是一个拍立得的3d模型，我需要你帮我渲染成真实的工业设计渲染图，要求白底，apple产品渲染风格。

The AI generates a realistic rendering with a white background in an Apple‑style aesthetic. Because the demo uses 1K resolution, details are slightly soft.

Step 4: Annotation‑Based Refinement

After the first output, the author notes typical AI deviations. Using the canvas’s annotation tool, specific corrections are marked, then the Action panel’s “Annotate & Edit” command re‑generates the image with the indicated changes.

Step 5: Multi‑Angle Generation

To obtain controlled views, the model is rotated to each desired angle, the corresponding 3D view and reference image are selected, and the following prompt is sent:

@image1是产品的最终效果图，@image2 是3D透视和角度图。你基于@image1的产品效果，生成 @image2的角度，让产品换个角度。

Repeating this yields multiple angle shots and detailed close‑ups, all consistent with the original geometry.

Step 6: CMF Mood Board & Exploration

Large text prompts are given to an Agent to diverge into CMF (Color‑Material‑Finish) mood boards. The canvas’s Agent button launches the process, producing several mood images that can be further refined.

Step 7: E‑Commerce Concept Images

Using the same Agent workflow, the author supplies a product image and a model image, then prompts the AI to generate a set of four e‑commerce graphics: main visual, selling‑point image, detail view, and lifestyle scene, all in portrait orientation.

根据产品图和模特图。输出电商套图：分别有：1. 主视觉图；2. 卖点图；3. 详情图；4. 生活场景图；共 4 张，竖屏，分别输出；产品卖点：你根据产品的外观和拍立得这类型产品总结。图片需要有文案，突出产品特性，让人一看就想买。

The platform supports up to four concurrent image generations.

Step 8: Concept Video Production

An Agent is asked to draft a storyboard (16‑panel script) based on the product and detail images, specifying a 10‑second vertical video. The generated storyboard is then fed to the animation action to produce the final video.

根据分镜图 @image1 生成拍立得视频广告，编辑精选质量，商业广告。大致脚本：…（完整脚本略）

Conclusion

The demonstrated workflow shows that, with a modest 3D input and the GenVizu toolset, designers can rapidly produce a full suite of visual assets—renderings, multi‑angle shots, CMF explorations, e‑commerce graphics, and concept videos—while keeping the process repeatable and controllable. The author notes that higher‑resolution outputs (2K/4K) improve detail, and that additional material such as packaging diagrams can be generated using the same pipeline.