# Inverse rendering on images
CUDA_HOME=$CONDA_PREFIX PYTHONPATH=$(pwd) python cosmos_predict1/diffusion/inference/inference_inverse_renderer.py \
    --checkpoint_dir checkpoints --diffusion_transformer_dir Diffusion_Renderer_Inverse_Cosmos_7B \
    --dataset_path=your_input_images/ --num_video_frames 1 --group_mode webdataset \
    --video_save_folder=output/ --save_video=False

# Inverse rendering on video frames
CUDA_HOME=$CONDA_PREFIX PYTHONPATH=$(pwd) python cosmos_predict1/diffusion/inference/inference_inverse_renderer.py \
    --checkpoint_dir checkpoints --diffusion_transformer_dir Diffusion_Renderer_Inverse_Cosmos_7B \
    --dataset_path=your_video_frames/ --num_video_frames 57 \
    --video_save_folder=output/

Requirements

Python 3.10
NVIDIA GPU with >= 16GB VRAM (48GB+ recommended)
CUDA 12.0+

Brian9999/world_inverse_renderer

World Inverse Renderer

Model Description

Architecture

Usage

Requirements

Brian9999/
world_inverse_renderer