base on 3D to Photo is an open-source package by Dabble, that combines threeJS and Stable diffusion to build a virtual photo studio for product photography. Load a 3D model into the browser and virtual shoot it in any kind of scene you can imagine # 3D to Photo 3D to Photo is an open-source package by Dabble, that combines threeJS and Stable diffusion to build a virtual photo studio for product photography. Load a 3D model into the browser and virtual shoot it in any kind of scene you can imagine. The app currently uses Stable Diffusion 1.5-inpainting, hosted on Replicate. [Demo Video](https://youtu.be/iv-iOJDvtvc?si=MwYTDScrixLsLksR) [](https://www.youtube.com/watch?v=iv-iOJDvtvc) ## How it Works * Upload a 3D model of any object in .glb format. * Adjust the position and orientation of the model on the canvas * Describe the scene you want to create in the text box and click generate image ## Use Cases * Product Photography: Create product lifestyle photos in any backdrop you can imagine, without a physical photoshoot. * Synthetic Data Generation: Generate synthetic images of an item in a variety of scenes. Useful when training object detection models. * Previsualize Game Assets: Upload your game assets and generate level art around it to previsualize scenes. ## Tech Stack * [ThreeJS](https://threejs.org) to handle loading and viewing 3D models * Stable Diffusion 1.5 (inpainting) by [stability.ai](https://stability.ai/) * [Replicate](https://replicate.com/) to run Stable Diffusion * [NextJS](https://nextjs.org/) by Vercel for the front-end * Python Flask Server for some backend image processing functions ## Install and Run 1. Clone this repository ``` git clone [email protected]:Dabble-Studio/3d-to-photo.git ``` 2. Install necessary packages for the front end ``` cd 3d-to-photo npm install ``` 3. Install necessary packages for the python backend ``` cd image_proc_server pip install -r requirements.txt ``` 4. Run the Flask Server ``` flask run ``` 5. Set your Replicate API key. In another terminal, navigate to the root folder and create a file called .env. You can use the .env.example file as a template. Paste your Replicate API key in this line REPLICATE_API_TOKEN=YOUR_API_TOKEN, in place of YOUR_API_TOKEN 6. Run the NextJS app ``` npm run dev ``` 7. Use one of the sample 3D models and drag it into the upload area. Enter a prompt in the text box and click "Generate Image" ", Assign "at most 3 tags" to the expected json: {"id":"3881","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"