Following on from my previous TTS post using Chatterbox Turbo (or any other TTS like Kokoro or Qwen3-TTT), here is code to combine audio files in a single .m4b audiobook retaining author and title metadata, chapter markers, and a cover image. Mostly this is a Python wrapper to FFmpeg.

In my last post, I tried Qwen3-TTS... This time, I test Chatterbox Turbo by Resemble.ai, which is an open-source, MIT licensed, text-to-speech model with zero-shot cloning.

Alibaba’s Qwen3-TTS for Speech Synthesis (text-to-speech) was open-sourced (Apache-2.0) on 22 Jan 2026. And within the last couple of weeks, we now have Apple Silicon optimization via MLX-Audio. Here is code to create an audiobook from an ePub.

In March 2025, I posted an opinion piece entitled “My Disillusionment with Generative AI”. Things have gotten worse since then, to the extent that “Slop” and “AI Slop” have been picked as the Word(s) of the Year for 2025. What follows are my thoughts on the trajectory of technology and, more specifically, AI, as reflected in the Word(s) of the Year (WOTY).

The current version of CrossOver 25.1.1 utilizes with Apple’s Game Porting Toolkit 2.1. Here is how to update it to use Game Porting Toolkit 3.0 (GPTK), released (updated) on 5 December 2025, which emulates NVIDIA DLSS with MetalFX!

In my last post, I described trying out Kokoro text-to-speech (TTS) model via Kokoro-FastAPI web UI in a macOS (native) container. Here, I install Kokoro-TTS and Abogen on Windows, to take advantage of my Nvidia GPU.

A short 2-in-1 post of two things I’ve been meaning to try out on macOS - first, to try the new macOS Container framework on macOS 15.5... and second, to spin up Kokoro Text-to-Speech (TTS) in a container.

Onward: How I setup my DietPi SBC as a local music streaming server. I use Navidrome and OwnTone.

Previously, I documented my Orange Pi Zero 3 setup with DietPi. Here is how I setup AdGuard Home using the DietPi installer.

I recently wanted to upgrade my Raspberry Pi, and I setted on an Orange Pi Zero 3 Single Board Computer (SBC). Here is how I set it up.

I’m a techno optimist by default, I do believe technology can solve the problems we face today, and make our lives better. But I do have concerns with the direction we are taking with Generative AI, and the future we are heading towards. This is an opinion piece...

Something totally different today... another Lego Alternate Build MOC, that merges the 4 micro builds from a single 40712 “Micro Rocket Launchpad” set. Presenting my Micro Mobile Launchpad with spaceship and rocket Alt Build.

city96 has published GGUF versions of the Flux1.Dev model and T5 XXL text encoder, along with custom nodes to use them in ComfyUI - thought I’d try them on my M2 Mac mini, hoping for faster inference!

More Flux.1-based models! Go faster with FP8 or NF4! New LoRAs and ControlNets! There is quite a bit of interest with this model, as evidenced by the speed of community-led enhancements.

While I have many posts about SDXL, I do not use Stable Diffusion 3 at all - license concerns aside, it is simply not good, and may never get better. But just a few days ago, a new, freely available, offline model that is better than SDXL was released by the team that presented Latent Diffusion and created Stable Diffusion, Flux.1 by Black Forrest Labs!

It’s been over three months since I last posted anything, becase I haven’t done much recently! So today, something different - a list of Tesla Model 3 Highland (2024) accessories.

I saw a post on Reddit, entitled “Llama 3 rocks with taking on a personality!”. A fun experiment! I thought to replicate it, blatantly copying the puzzle presented. Llama 3, released by Meta just before the weekend, is impressive.

I know it’s bad form to start off with a disclaimer: but the truth is, I do not know what I am doing. I am just testing out two new ComfyUI nodes, PerturbedAttentionGuidance and PerpNegGuider.

In my last post, I used ComfyUI-IF_AI_tools to integrate to the brxce/stable-diffusion-prompt-generator model running in Ollama. I wonder if I could use the base Mistral 7B model to help improve my uncreative prompts instead...

In my last post, I described running Mistral, a Large Language Model, locally using Ollama. To accompany that piece, I created a prompt and manually used AI to generate an image. Today, I’ll wire up a ComfyUI workflow to Ollama to do this seamlessly, thanks to ComfyUI-IF_AI_tools.