Mapperatorinator

OliBomby/Mapperatorinator is ranked 3,188 among these 8 peers; CodeZeno/Claude-Code-Usage-Monitor is ranked 3,187.

Mapperatorinator Try the generative model here, or MaiMod here. beatmaps for all gamemodes and assist modding beatmaps. The goal of this project is to automatically generate rankable quality osu! beatmaps from any song with a high degree of customizability. This project is built upon osuT5 and osu-diffusion. In developing this, I spent about 5700 hours of GPU compute across 261 runs on my 4060 Ti and rented 4090 instances on vast. Always disclose the use of AI in your

beatmaps. Installation The instruction below allows you to generate beatmaps on your local machine, alternatively you can run it in the cloud with the colab notebook. (Optional) Create virtual environment Use Python 3. 10, later versions will might not be compatible with the dependencies. 0 (For NVIDIA GPUs) or ROCm (For AMD GPUs on linux) PyTorch 2. 10: Make sure to follow the Get Started guide so you install and with GPU support. Select the correct Compute Platform version that

you have installed in the previous step. and the remaining Python dependencies: Web GUI (Recommended) For a more user-friendly experience, consider using the Web UI. It provides a graphical interface to configure generation parameters, start the process, and monitor the output. Launch the GUI Navigate to the cloned directory in your terminal and run: This will start a local web server and automatically open the UI in a new window. Using the GUI **Configure:** Set input/output paths using

the form fields and "Browse" buttons. Adjust generation parameters like gamemode, difficulty, style (year, mapper ID, descriptors), timing, specific features (hitsounds, super timing), and more, mirroring the command-line options. (Note: If you provide a , the UI will automatically determine the and from it, so you can leave those fields blank) **Start:** Click the "Start Inference" button to begin the beatmap generation. **Cancel:** You can stop the ongoing process using the "Cancel Inference" button. **Open Output:** Once finished, use the

"Open Output Folder" button for quick access to the generated files. The Web UI acts as a convenient wrapper around the script. For advanced options or troubleshooting, refer to the command-line instructions. Command-Line Inference For users who prefer the command line or need access to advanced configurations, follow the steps below. **Note:** For a simpler graphical interface, please see the Web UI (Recommended) section above. Run and pass in some arguments to generate beatmaps. Example: Interactive CLI For

those who prefer a terminal-based workflow but want a guided setup, the interactive CLI script is an excellent alternative to the Web UI. Launch the CLI Navigate to the cloned directory. You may need to make the script executable first. Using the CLI The script will walk you through a series of prompts to configure all generation parameters, just like the Web UI. It uses a color-coded interface for clarity. It provides an advanced multi-select menu for

choosing style descriptors using your arrow keys and spacebar. After you've answered all the questions, it will display the final