Local Image to 3D: High quality, Low poly - preserve minute details like text, logos even after retopo, ~900k faces > ~5k (NVIDIA + Mac)

Image-to-3D models redraw your picture, and fine detail - text, logos, faces - comes back garbled or scuffed. My local pipeline that fixes it. (repo link at the end of the post) The latest update adds Pixel Match. It copies the real pixels from your source image back onto the model, wherever the image can see. So "VANGUARD 07" on the chest stays "VANGUARD 07", even after the Finish step retopologises the model down to ~5k faces (as you can see in the video). One step closer to Tripo and Meshy like outputs, but locally. It runs fully on your system - no API calls, no cloud credits, just a once-a-day update check. Works on NVIDIA (tested on Linux, Windows has limited testing) and Apple Silicon. For now Pixel Match is for Pixal3D models made in the lab; other backends and more camera angles are next. I started this project to make assets for a game I'm working on - I wanted to see how much I could automate, from getting the asset to rigging and animating it (that bit is still WIP in this lab). The image > 3D pipeline is solid though, and you can get game-ready and sprite-ready assets out of it. While the models are riggable and can be animated, more testing is required. I'm confident it should work. Workflow: prompt → Qwen-Image → Pixal3D → Finish (Pixel Match) → textured GLB. The models in the video were made with Pixal3D on my Mac. Backends: Pixal3D is the one to start with (~8.6 GB, Mac and NVIDIA). (Pixal3D's authors report 16 GB cards work, so tell me if yours does.) Stable Fast 3D is the quick, lower-detail option (Mac, or NVIDIA on Linux). Its weights are gated: accept Stability's licence on Hugging Face and log in first. TRELLIS.2 and Hunyuan3D run on Mac in the lab; on NVIDIA, use their official repos for now. Built-in NVIDIA support for both is coming in the next release. Qwen-Image 2.1 handles text-to-image. To try it Mac (Apple Silicon) or Linux: curl -fsSL https://raw.githubusercontent.com/Bingeljell/image-to-3dlab/main/install.sh | bash Windows (PowerShell): irm https://raw.githubusercontent.com/Bingeljell/image-to-3dlab/main/install.ps1 | iex The installer is a short script, so read it before you run it: https://github.com/Bingeljell/image-to-3dlab/blob/main/install.sh (Windows: https://github.com/Bingeljell/image-to-3dlab/blob/main/install.ps1) It only sets up the code - nothing downloads without your permission. You pick models in the web viewer, which shows the size and licence of each before fetching. Finish also needs Blender 4.2+, which you install yourself (the viewer tells you if it can't find it). What would help most If you hit bugs: •⁠ ⁠Your GPU, OS and driver version •⁠ ⁠Did the install work? If not, where did it stop? (the full error is gold) •⁠ ⁠Windows folks especially: did Finish find Blender and run? Reply here or open a GitHub Discussion, whichever's easier. And a question for you: which backend or camera angle should Pixel Match support next? Is there something in your workflow that this pipeline can do better? Please let me know, will help me prioritise the feature road-map. Worth knowing before you start •⁠ ⁠Some model licences have strings attached. The viewer shows each licence before you download. •⁠ ⁠It's a hobby project, so things will break. Every bug report makes the next person's install smoother. Please raise PRs and issues. Repo: https://github.com/Bingeljell/image-to-3dlab Release notes: https://github.com/Bingeljell/image-to-3dlab/releases/tag/v0.3.5 submitted by /u/Bingeljell [link] [comments]

Source: r/StableDiffusion | 2026-09-30