Interior Render Precision Control
Paste the following prompt into your AI chat to install this skill:
Please follow https://skillhub.cn/install/skillhub.md to install @user_43fcefbb/interior-render-precision-control.
About this skill
Problem
A common issue with AI interior renders is not whether an image can be generated, but whether structure, materials, and camera control stay stable. Mood boards can set atmosphere, but final renders may drift: walls distort, doors and windows misalign, materials change between surfaces, and the result still feels far from a 3D Max/V-Ray/D5/Enscape deliverable.
How It Works
The skill splits the workflow into five confirmation stages, each requiring approval before the next step:
- Stage 1: style lock — upload reference images, generate style extensions with
Jimeng Seedream 5.0 Pro, and draft style prompts withDeepSeek R1. - Stage 2: dual base maps — export a
ZDepthdepth map and a wireframe edge map from SketchUp for structure and depth control. - Stage 3: material balls — upload furniture, fabric, lighting, and material references, then generate PBR material-ball references and small test renders.
- Stage 4: six-face binding — bind materials to ceiling, floor, left/right walls, front/back walls, and create per-face previews and control instructions.
- Stage 5: generation and retouch — render with
Jimeng 5.0 ProorComfyUI + Flux, then fix local issues with interactive editing and PS Beta.
Boundaries
This workflow fits interior projects that already have an SU blockout, clear material references, and a need to reuse confirmed information across camera angles. The source requires the edge map and depth map to come from the same camera alignment; without base maps, only mood references, structural accuracy cannot be guaranteed. It also depends on the specified tool chain, so execution is limited if Jimeng, DeepSeek, or ComfyUI/Flux environments are unavailable.
Use Cases
- When an SU blockout and mood boards exist, confirm style, structure, and materials before batch rendering.
- Generate a ZDepth depth map and wireframe edge map for the same camera to control walls, openings, and depth.
- With furniture and material references fixed, generate material balls and bind them to ceiling, floor, and walls.
- For multi-camera presentations, reuse the confirmed style and materials while adding a new base map and anchor image.
Best For
- Interior designers who need AI renders to approach 3D delivery standards while keeping structure, materials, and six faces controlled.
- Rendering specialists who need to turn SU blockouts, mood boards, and soft-furnishing references into review-ready 4K presentation images.
- Design team leads who need multi-camera outputs to reuse the same confirmed style, material balls, and stage records.
- AI workflow operators who need staged prompts, material binding, and retouching across Jimeng, DeepSeek, and ComfyUI/Flux.
Related Skills
Generate an interactive HTML product detail page from images and copy, with multi-product carousel, inline text editing, design controls, and PDF/JPG/PSD export support.
Enter a material name to get preview and download links for free, commercially usable video assets, with paid platform options, pricing, and search suggestions when results are limited.
A local CLI for Dreamina image and video generation, including credit checks, async submission, result queries, and task history review.
An AI-guided workflow for Chinese video dubbing and subtitles that configures iFlytek or edge-tts, splits audio, generates SRT, and composes the final video.