Search Results for "stable diffusion"
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Showing 9 open source projects for "stable diffusion"
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stable-diffusion.cpp
Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference
stable-diffusion.cpp is a lightweight, high-performance implementation of Stable Diffusion and related generative models written entirely in portable C/C++, designed to run on virtually any device without heavy dependencies. It enables text-to-image and image-to-image generation, supports a growing set of models like SD1.x, SD2.x, SDXL, SD-Turbo, Qwen Image, and more, and is continually updated with support for cutting-edge model variants including video and image editing models. ... -
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JarkViewer
A lightweight, lightning-fast, and powerful image viewer
JarkViewer is a lightweight, lightning‑fast image viewer for Windows 10/11 (64‑bit) that supports a wide range of modern image formats, from traditional JPEG/PNG to newer types such as AVIF, HEIC, JPEG XL, and various RAW files. It is designed as a native portable application with fully static linking, distributed as a single executable with no separate installer, making it simple to run from any folder or removable drive. The viewer handles static images, animated formats (GIF, animated... -
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OnnxStream
Lightweight inference library for ONNX files, written in C++
The challenge is to run Stable Diffusion 1.5, which includes a large transformer model with almost 1 billion parameters, on a Raspberry Pi Zero 2, which is a microcomputer with 512MB of RAM, without adding more swap space and without offloading intermediate results on disk. The recommended minimum RAM/VRAM for Stable Diffusion 1.5 is typically 8GB. Generally, major machine learning frameworks and libraries are focused on minimizing inference latency and/or maximizing throughput, all of which at the cost of RAM usage. ... -
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1654 — encryption system
1024-bit encryption system (functional safe or disk) | С++20
This release marks the first production-ready publication of 1654, a dependency-free cryptographic vault engine built around a strict vault abstraction and a wide-state cryptographic design. 1654 is not a wrapper around existing crypto libraries. It is a self-contained system whose cryptographic behavior is fully defined within the repository. Key Characteristics Vault-oriented model Encrypted data is treated as a sealed container-safe with explicit operations, not as a... -
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KoboldCpp
Run GGUF models easily with a UI or API. One File. Zero Install.
KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models, inspired by the original KoboldAI. It's a single self-contained distributable that builds off llama.cpp and adds many additional powerful features. -
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Cantera is a suite of object-oriented software tools for problems involving chemical kinetics, thermodynamics, and/or transport processes. It can be used from MATLAB, Python, C++, or Fortran.
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BioFVM
3-D diffusion solver for biological problems
BioFVM is an open source diffusive transport solver for biological problems. It can solve for the diffusion of tens or hundreds of substrates on large 3-D domains. For simplicity, the code has minimal external dependencies. BioFVM was first published in: A. Ghaffarizadeh, S.H. Friedman, and P. Macklin. BioFVM: an efficient, parallelized diffusive transport solver for 3-D biological simulations. Bioinformatics 32(8): 1156-8, 2016. DOI: 10.1093/bioinformatics/btv730 method... -
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OFR Analysis Tool
For the analysis of output data from the OFR method
The OFR method is a type of steered molecular dynamics method for determining potentials of mean force (PMF) (Phys. Rev. E, 2011, 83: 021114) and local diffusion coefficients, D(z) (Phys. Rev. E, 2012, 86: 036707). OFR-AT is a fast and convenient program for analyzing large output data files from the OFR method, and returns the information necessary to quickly and easily calculate the PMF and D(z) in a spreadsheet. The software is described in detail in the following article: J. Comp.... -
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An open architecture for simulating swarm intelligent systems. Includes pheromone diffusion model, agent motivation map and graph world topology with tokens. Simulations are configured using XML. Simulations are visualized using GLUT.
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