WonderWorld

(★ 741)

Code release for https://kovenyu.com/WonderWorld/

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- logo.png
- - animation_lakeside_1.yaml
  - animation_lakeside_2.yaml
  - arc_de_triomf.yaml
  - campus_monet.yaml
  - cathedral_1.yaml
  - cathedral_2.yaml
  - city_hall.yaml
  - city_hall_monet.yaml
  - city_monet_1.yaml
  - city_monet_2.yaml
  - forbidden.yaml
  - garden_monet.yaml
  - lego.yaml
  - main_square.yaml
  - marienplatz.yaml
  - minecraft.yaml
  - real_campus_1.yaml
  - real_campus_2.yaml
  - real_westlake.yaml
  - taj_mahal_monet.yaml
  - ukiyo-e.yaml
  - venice.yaml
  - village.yaml
  - village_monet.yaml
  - zelda.yaml
- base-config.yaml
- example.yaml
- - animation_lakeside_1.png
  - animation_lakeside_2.png
  - arc_de_triomf.png
  - campus_monet.png
  - cathedral_1.png
  - cathedral_2.png
  - city_hall.png
  - city_hall_monet.png
  - city_monet_1.png
  - city_monet_2.png
  - forbidden.png
  - garden_monet.png
  - lego.png
  - main_square.png
  - marienplatz.png
  - minecraft.png
  - real_campus_1.png
  - real_campus_2.png
  - real_westlake.png
  - taj_mahal_monet.png
  - ukiyo-e.png
  - venice.png
  - village.png
  - village_monet.png
  - zelda.png
- - .DS_Store
- .DS_Store
- examples.yaml
- __init__.py
- network_gui.py
- - batchsize.py
  - ensemble.py
  - image_util.py
- __init__.py
- marigold_pipeline.py
- marigold_process.py
- - teaser_collage_transparant.png
- - __init__.py
  - marigold_pipeline.py
- - download_sample_data.sh
  - download_weights.sh
- __init__.py
- CONTRIBUTING.md
- environment.yaml
- LICENSE.txt
- README.md
- requirements.txt
- run.py
- - .placeholder
- - base_model.py
  - blocks.py
  - dpt_depth.py
  - midas_net.py
  - midas_net_custom.py
  - model_loader.py
  - transforms.py
- - README.md
- - launch_midas_cpp.sh
  - LICENSE
  - README.md
  - run_talker_listener_test.sh
- - make_onnx_model.py
  - README.md
  - run_onnx.py
  - run_pb.py
  - transforms.py
  - utils.py
- - .placeholder
- .gitignore
- Dockerfile
- environment.yaml
- hubconf.py
- LICENSE
- README.md
- run.py
- utils.py
- models.py
- - __init__.py
  - datasets.py
  - samplers.py
  - threeaugment.py
- - .gitignore
  - checkpoint.py
  - dist_test.sh
  - dist_train.sh
  - eval.sh
  - README.md
  - repvit.py
  - test.py
  - train.py
  - train.sh
- - latency.png
  - repvit_m0_9_latency.png
- - repvit_m0_9_distill_300e.txt
  - repvit_m0_9_distill_450e.txt
  - repvit_m1_0_distill_300e.txt
  - repvit_m1_0_distill_450e.txt
  - repvit_m1_1_distill_300e.txt
  - repvit_m1_1_distill_450e.txt
  - repvit_m1_5_distill_300e.txt
  - repvit_m1_5_distill_450e.txt
  - repvit_m2_3_distill_300e.txt
  - repvit_m2_3_distill_450e.txt
- - __init__.py
  - repvit.py
- - .gitignore
  - CODE_OF_CONDUCT.md
  - CONTRIBUTING.md
  - LICENSE
  - linter.sh
  - README.md
  - setup.cfg
  - setup.py
- - .gitignore
  - align_resize.py
  - eval.sh
  - README.md
  - repvit.py
  - train.sh
- engine.py
- eval.sh
- export_coreml.py
- flops.py
- LICENSE
- losses.py
- main.py
- README.md
- requirements.txt
- speed_gpu.py
- train.sh
- utils.py
- __init__.py
- cameras.py
- colmap_loader.py
- dataset_readers.py
- gaussian_model.py
- - CMakeLists.txt
  - ext.cpp
  - LICENSE.md
  - rasterize_points.cu
  - rasterize_points.h
  - README.md
  - setup.py
- - ext.cpp
  - setup.py
  - simple_knn.cu
  - simple_knn.h
  - spatial.cu
  - spatial.h
- syncdiffusion_model.py
- utils.py
- chatGPT4.py
- finetune_utils.py
- free_lunch_utils.py
- general_utils.py
- gs_utils.py
- midas_utils.py
- segment_utils.py
- stable_diffusion_inpaint.py
- utils.py
- __init__.py
- camera.py
- depth.py
- general.py
- graphics.py
- image.py
- lama.py
- loss.py
- sh.py
- system.py
- trajectory.py
.DS_Store
.gitignore
.gitmodules
arguments.py
README.md
requirements.txt
run.py

# Installation Guide

1. Get the code

git clone https://github.com/KovenYu/WonderWorld

Downloads the entire project code from GitHub to your computer.

cd WonderWorld

Moves into the project folder you just downloaded.

2. Official Install Script

Easy Recommended

Prerequisites

Python 3 Python is required to use pip.

pip install "git+https://github.com/facebookresearch/pytorch3d.git@stable"

Installs the package published on PyPI directly — no need to clone the source.

pip install submodules/depth-diff-gaussian-rasterization-min/

Installs the package published on PyPI directly — no need to clone the source.

pip install submodules/simple-knn/

Installs the package published on PyPI directly — no need to clone the source.

✅ After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.

Pulled directly from this repo's README.

3. Docker

Easy

Prerequisites

Git Needed to download the project code from GitHub.
Docker Desktop Needed to build and run containers. Install it and keep it running in the background.

docker build -f midas_module/Dockerfile -t wonderworld .

Builds a runnable image based on the Dockerfile.

docker run -p 8080:80 wonderworld

Runs the built image as an actual container.

✅ Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.

4. CMake

Medium

Prerequisites

Git Needed to download the project code from GitHub.
CMake The tool used to generate build configuration.
C/C++ 컴파일러 Windows needs Visual Studio (Community edition, free), macOS needs Xcode Command Line Tools, Linux needs the gcc/g++ package.

⚠️ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.

cd midas_module/ros/midas_cpp

This project's files live in a subfolder, so move into it first.

mkdir build && cd build

Creates a folder to hold the build output and moves into it.

cmake ..

Analyzes the source code and generates build configuration files (must be run inside the build folder).

make

Compiles the code based on the generated build configuration to produce an executable.

✅ Check that an executable was created inside the build folder, then run it directly (e.g. ./build/app_name).

5. Gradle (Java/Kotlin)

Medium

Prerequisites

Git Needed to download the project code from GitHub.
JDK (Java) Required to build and run Java/Kotlin projects.
Gradle If the repo includes gradlew (Gradle Wrapper), you don't need to install Gradle separately.

⚠️ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.

cd midas_module/mobile/android

This project's files live in a subfolder, so move into it first.

./gradlew build

Builds the project using Gradle.

✅ A BUILD SUCCESSFUL message means it worked. The output is created under build/.

6. Python

Easy

Prerequisites

Git Needed to download the project code from GitHub.
Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.

pip install "git+https://github.com/facebookresearch/pytorch3d.git@stable"

Installs the package published on PyPI directly — no need to clone the source.

pip install submodules/depth-diff-gaussian-rasterization-min/

Installs the package published on PyPI directly — no need to clone the source.

pip install submodules/simple-knn/

Installs the package published on PyPI directly — no need to clone the source.

pip install -r requirements.txt

Installs the Python libraries listed in requirements.txt (or similar).

cd ./RepViT/sam && pip install -e . && cd ../..

Moves into the project folder you just downloaded.

✅ If it runs without errors and prints output in the terminal, it worked.

Pulled directly from this repo's README.

WonderWorld

File Explorer

# Installation Guide

2. Official Install Script

3. Docker

4. CMake

5. Gradle (Java/Kotlin)

6. Python

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WonderWorld

File Explorer

# Installation Guide

2. Official Install Script

3. Docker

4. CMake

5. Gradle (Java/Kotlin)

6. Python

Today's picks

Was this content helpful?

Recent Feedback

Download README