A BIG update for img2threejs. It’s been almost 2 months since I launched img2threejs. After a lot of experiments, feedback, and seeing where people struggle, I realized there are some changes we simply have to make if we want this project to go much further. So here’s what’s changing: / 01 / A new ROADMAP: from one pipeline → a plugin-able ecosystem This is the biggest change. Reconstruction, environments, rigging, animation, VFX/SFX, exporters, providers… shouldn’t be locked inside one giant workflow. The goal is to make img2threejs modular: use what you need, replace what you don’t, build your own workflow, and eventually your own plugins. I believe this is the right foundation for img2threejs to grow from an open-source project into an ecosystem. ⁠Read the new Roadmap → github.com/img2threejs/img2t… / 02 / Playground The simplest way to use img2threejs: upload an image → wait ~10 minutes → get your 3D asset. Export to different 3D formats or directly to pure Three.js code. / 03 / Studio This is for those who want full control. Watch img2threejs build in real time: Nano → Texture → Rigging → Animation → VFX/SFX → Export. Configure, inspect, and control the workflow instead of only receiving the final result. / 04 / A new Landing Page Cleaner, easier, and actually more useful. You’ll be able to copy prompts directly, explore examples, and export assets for Blender or your own workflow. I’m trying to wrap up as much of the annoying work as possible animation, rigging, textures, exporters, so you can focus on building. / 05 / Official YouTube Many of you have asked how these showcases are actually built, and X simply isn’t the right place for a 20–40 minute walkthrough haha. I’ll start sharing full step-by-step workflows, experiments, tutorials, and project updates here: ⁠YouTube → piped.video/@hoainho1465 And one more thing… Tomorrow at 13:00 UTC - img2threejs × GPT-6 Astra. A new exclusive showcase is coming. I’ve spent enough time with img2threejs that I thought it was getting difficult to surprise myself anymore, but this one did. To everyone who tested img2threejs, contributed code, reported bugs, shared feedback, created something with it, sponsored us, became a partner, or simply told me to keep going - thank you, truly. A lot of what you see in this new direction comes directly from those conversations. We’re still very early, and there’s still a ridiculous amount of work ahead, but I’m really excited about where this is going. If you’re building in AI, 3D, graphics, or creative tools and this direction makes sense to you, I’d love to connect. Maybe we can build something together haha. Community: discord.com/invite/fX9r3cVth… Support: ko-fi.com/iamnick Same vision. Bigger possibilities. — Nick

Live Showcase: img2threejs.io/#/demo/snowy-…

Been experimenting with something a bit bigger this time 👨‍🍳 Instead of image → one 3D model, I’m trying image → entire 3D world. Break the image into objects, rebuild them, reconstruct the scene, then make it interactive. Would love to hear what you guys think about this direction for img2threejs.

GPT-6 × img2threejs v2.2 GPT-6 launched while I was halfway through building img2threejs 2.2, so I ran an early comparison between Luna, Sol, and Astra. Same reference image. Same prompt. Same unfinished pipeline. Skill: github.com/img2threejs/img2t… “Use the img2-environment skill to recreate the room from this reference image: [link]” v2.2 is currently around 50% complete, but the differences in how each model interprets the same scene are already clear. Sol’s visual understanding stood out to me in this test. The goal for v2.2 is to push reference-to-scene fidelity as close to 99% as possible.

GPT-6 launched right in the middle of building img2threejs v2.2. As its creator, I had to test Luna, Sol, and Astra using the same image, the same prompt, and the same unfinished pipeline. img2threejs v2.2 is only 50% complete, but Sol’s visual understanding genuinely surprised me. GPT-6 launched right in the middle of building img2threejs v2.2. As its creator, I tested GPT-6 Luna, Sol, and Astra with the same reference image and one simple prompt: “Use the img2-environment skill to create a room that matches the following reference image: [link]” v2.2 is only 50% complete, but Sol’s visual understanding genuinely surprised me. Which result do you prefer: Luna, Sol, or Astra? Which result do you prefer?

Sharing a small game character experiment I just built with img2threejs. I used the recent Sora & Roxas × Fortnite release as a fun test: starting from reference images, generating editable Three.js characters, then putting both on a compatible rig system with 44 shared animations. They can even switch characters mid-animation without resetting the motion. The interesting part for game dev: the result is code-first, but I’ve also added GLB/FBX export, so the assets can be taken into Blender or Unity and continued in a traditional game pipeline. I’d love to hear feedback from game devs here, especially if anyone wants to test the exported assets in a real game workflow. Full showcase in the quoted post. 👇

Try the live showcase: img2threejs.io/#/demo/sora Under the hood: - 2 characters - 1 compatible 41-joint rig system - 44 shared animations - Character switching mid-animation without resetting the motion - Editable Three.js + TypeScript source - GLB/glTF export for Blender No imported GLB or FBX is loaded at runtime. Fan-made technical demo.

I’m sharing a code-only Three.js showcase in which the 3D model, materials, lighting, and animation are all created and controlled directly through code. No GLB file is used or included in the final output. This keeps the scene fully editable and makes iteration easy for example, adding three or four new iPhone Duo color variations with a single prompt.

One important detail This iPhone is built entirely with TypeScript + Three.js code, don’t confuse it with a GLB model. The GLB is only used as a reference. The final 3D model you’re seeing is reconstructed in code by img2threejs.

Would you like to see more interactive 3D shopping pages like this, for phones, clothing, and other products? Being able to rotate, inspect, and customize a product before buying creates a much more engaging experience. Built with img2threejs, I have a feeling products presented this way could sell really well. 😍

I just recorded a closer look at the Sage edition, and yes, this one is definitely my style. 💚 Which color would you choose: Sage, Coral, or Lavender?

Hyper3D MCP made the first stage of this workflow much more accessible. It allowed me to generate an initial multi-view 3D study directly from the working context, then use it to evaluate the iPhone Duo’s proportions, scale, and overall form. That gave img2threejs a practical starting point for refinement, customization, interaction, and animation. Thanks team @DeemosTech