AI content generation is about feeding your AI models with semantic and contextual information. The result is a platform that can ‘understand’ what an item is, and how it should be used. AI creates content using semantic knowledge in any form of content including video, 3d, VR and more.
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Mugen – Modernized Anime SDXL Base, or how to make Bluvoll tiny bit less sane
Your monthly “Anzhc’s Posts” issue have arrived. Today im introducing – Mugen – continuation of the Flux 2 VAE experiment on SDXL. We have renamed it to signify strong divergence from prior Noobai models, and to finally have a normal name, no more NoobAI-Flux2VAE-Rectified-Flow-v-0.3-oc-gaming-x. In this run in particular we…
Mugen – Modernized Anime SDXL Base, or how to make Bluvoll tiny bit less sane
Your monthly “Anzhc’s Posts” issue have arrived. Today im introducing – Mugen – continuation of the Flux 2 VAE experiment on SDXL. We have renamed it to signify strong divergence from prior Noobai models, and to finally have a normal name, no more NoobAI-Flux2VAE-Rectified-Flow-v-0.3-oc-gaming-x. In this run in particular we…
From Prompt to Prediction: Understanding Prefill, Decode, and the KV Cache in LLMs
This article is divided into three parts; they are: • How Attention Works During Prefill • The Decode Phase of LLM Inference • KV Cache: How to Make Decode More Efficient Consider the prompt: Today’s weather is so .
From Prompt to Prediction: Understanding Prefill, Decode, and the KV Cache in LLMs
This article is divided into three parts; they are: • How Attention Works During Prefill • The Decode Phase of LLM Inference • KV Cache: How to Make Decode More Efficient Consider the prompt: Today’s weather is so .