Massively Parallel Deep Reinforcement Learning. 🔥
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Updated
Jul 5, 2025 - Python
Massively Parallel Deep Reinforcement Learning. 🔥
A prompt generation helper script for AUTOMATIC1111/stable-diffusion-webui and compatible forks
Programming with Python
Automation and Make
Processes SafeTensors files for Stable Diffusion 1.5 (SD 1.5), Stable Diffusion XL (SDXL), and FLUX models. It extracts the UNet into a separate file and creates a new file with the remaining model components (without the UNet).
Test a base prompt with different checkpoints and for the checkpoints specific prompt templates
A userbot for Telegram account made using Pyrogram Library and Python
Support for AegisFlow Shima and some great utility nodes for text auto-contrast, auto groups, and more.
Extra Unix Shell Material
My Implementation of " Structure and Content-Guided Video Synthesis with Diffusion Models" by RunwayML
Inter-Service communication framework, support for microservice architecture and distributed system
Generalizable Stable Points Segmentation for 3D LiDAR Scan-to-Map Long-Term Localization
🔫 📻 RSS enclosure (Podcast) downloader
Data Processing and Visualization for Metagenomics
Use this project to create your own random prompts for Stable Diffusion! Besides, you'll be able to add your own adjectives, objects and styles in the code.
Add a description, image, and links to the stable topic page so that developers can more easily learn about it.
To associate your repository with the stable topic, visit your repo's landing page and select "manage topics."