This patch removes restriction on maximum number of simultaneous NVENC video encoding sessions imposed by Nvidia to consumer-grade GPUs.
Python character encoding detector
Videomass is a free, open source and cross-platform GUI for FFmpeg
Media decoding and encoding for PyTorch: videos, images, and audio, on CPU and GPU.
Truly universal encoding detector in pure Python.
Scripts for decoding/encoding config.bin for ZTE routers
TikTok X-Gnarly, X-Bogus, and X-Dynosaur signature generator for Web API requests. Supports SDK version 5.1.2 (build 1.0.0.316). Python implementation with ChaCha20 and RC4 encryption, dynamic round selection, and custom Base64 encoding. Lightweight, fast, and production-ready.
SCoPE: Sightline-Coordinate Positional Encoding for 3D-Aware Video Generation
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[ECCV 2026] Official implementation of "HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models"
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Official implementation for paper "Fourier is Frontier: Frequency-Aware Autoencoding for High-Fidelity Music Reconstruction". We treat is as a new decoder for Music Reconstruction.
SmuggleMyPayload generates HTML pages that embed and reconstruct files client-side using JavaScript. The toolkit offers multiple HTML Smuggling techniques, payload encoding options, JavaScript variations, and pre-built HTML templates.
NVIDIA RTX Video Super Resolution for ComfyUI, optimized for long videos with disk-backed processing and low RAM usage. Supports AI upscaling, denoising, deblurring, H.264/HEVC NVENC encoding, audio preservation, and an integrated video preview.
Automated data preparation for machine learning. Load a dataset, clean, transform, encode, scale and split it, explore it with built-in analysis, and export model-ready data with a full report. Built with Python and Streamlit.
Official implementation of AURORA-LM: Autoencoding Unified Representation for Continuous-Latent Diffusion Language Modeling.
ComfyUI nodes for MiniMax-H3 multi-segment video: seamless continuation via a latent bridge (previous segment's AV latent pinned into the next segment's conditioning) — zero re-encoding. | MiniMax-H3 多段续接 latent 桥:上一段 AV latent 钉进本段 conditioning,零重编码,长视频不漂。
End-to-end speech model research: waveform encoding, causal decoding, codec tokens, joint losses and streaming.