KickRender

Overview

KickRender lets architects and interior designers upload 3D models in 3DM or FBX and generate photorealistic 1K‑4K renders within minutes. Prompt controls adjust lighting, style, and materials, and users can compare iterations and add collaborative feedback for presentations.

From the official site

Turn 3D models into stunning photorealistic renders in minutes with AI. Fast architectural rendering for Rhino, Revit, and SketchUp users.

The text above is quoted from this tool’s official website — the vendor’s own words.

Key points from the official site

Fast AI Rendering
High-Quality Renders
Supports 3DM & FBX

The points above are quoted from this tool’s own website sections and feature lists — vendor copy, not our review.

Official FAQ

What is KickRender?: KickRender is a web-based AI rendering platform that turns your 3D architectural models into high-quality, photorealistic images in minutes. It works directly from 3DM or FBX files, preserving your design with precision.
How is KickRender different from other AI rendering tools?: Unlike other AI tools that require an image as input, KickRender renders directly from your 3D model. Its unique regional prompting allows you to assign different prompts to individual objects or layers, giving unmatched control over the final output.
Do I need to install anything?: No installation is required. KickRender is fully web-based. Simply upload your 3D model, add your prompts, and render directly from your browser.
What file formats does KickRender support?: KickRender currently supports 3DM and FBX files, which can be exported from most architectural software.
Can I control lighting, style, and atmosphere?: Yes. You can define a global prompt for the overall scene and regional prompts for specific areas or objects. Reference images can also be used to guide style, lighting, and mood.
What resolutions can I render?: KickRender supports 1K, 2K, and 4K resolution outputs, as well as custom aspect ratios and orientations.

These questions and answers come from the tool’s own structured data, not written by us.

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