Mastodon discussion Aug 17

たった90分で初心者でもstable diffusionをマスター!!使い方&マネタイズの方法もOK!【超有料級】【最高の画像生成系AI】https://www.aiandemily.com/%e3%81%9f%e3%81%a3%e3%81...

たった90分で初心者でもstable diffusionをマスター!!使い方&マネタイズの方法もOK!【超有料級】【最高の画像生成系AI】https://www.aiandemily.com/%e3%81%9f%e3%81%a3%e3%81%9f90%e5%88%86%e3%81%a7%e5%88%9d%e5%bf%83%e8%80%85%e3%81%a7%...

GitHub Trending repo Aug 10

Elysia-Beloved/easy-LWE-watermark-: 基于 Tree-Ring 水印工程,实现潜空间 LWE 环形隐写与 NC 检测,支持 Stable Diffusion 2.1 实验、信号失真和几何攻击、频率/小波能量分析,支持本地/ Hugging Face 模型加载,支持gradio GUI实验。

基于 Tree-Ring 水印工程,实现潜空间 LWE 环形隐写与 NC 检测,支持 Stable Diffusion 2.1 实验、信号失真和几何攻击、频率/小波能量分析,支持本地/ Hugging Face 模型加载,支持gradio GUI实验。

GitHub Trending repo Aug 2

Jit-Roy/weellm: WeeLLM is a layer-streaming inference engine for large diffusion models (FLUX.2, Z-Image-Turbo, SDXL, SD1.5) that runs on under 4GB VRAM with zero quantization, streaming one transformer layer at a time directly from Hugging Face safetensors files.

WeeLLM is a layer-streaming inference engine for large diffusion models (FLUX.2, Z-Image-Turbo, SDXL, SD1.5) that runs on under 4GB VRAM with zero quantization, streaming one trans...