README.md

FlashWorld: High-quality 3D Scene Generation within Seconds

TL;DR: FlashWorld enables fast (7 seconds on a single A100/A800 GPU) and high-quality 3D scene generation across diverse scenes, from a single image or text prompt.

FlashWorld also supports generation with only 24GB GPU memory!

Demo

https://github.com/user-attachments/assets/12ba4776-e7b7-4152-b885-dd6161aa9b4b

🔥 News:

The code and demo will be released soon. Please stay tuned!

• [2025.10.15] Paper released.

Installation

• install packages

pip install torch torchvision
pip install triton transformers pytorch_lightning omegaconf ninja numpy jaxtyping rich tensorboard einops moviepy==1.0.3 webdataset accelerate opencv-python lpips av plyfile ftfy peft tensorboard pandas flask

• install [email protected] and diffusers@wan-5Bi2v packages

pip install git+https://github.com/nerfstudio-project/gsplat.git@32f2a54d21c7ecb135320bb02b136b7407ae5712
pip install git+https://github.com/huggingface/diffusers.git@447e8322f76efea55d4769cd67c372edbf0715b8

• clone this repo:

git clone https://github.com/imlixinyang/FlashWorld.git
cd FlashWorld

• run our demo app by:

python app.py

Then, enjoy your journey in FlashWorld!

More Generation Results

https://github.com/user-attachments/assets/bbdbe5de-5e15-4471-b380-4d8191688d82

License

Licensed under the CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike 4.0 International)

The code is released for academic research use only.

If you have any questions, please contact me via [email protected].