Spent the last few days trying to optimize AI image generation on ComfyUI. Installed the GGUF model, LoRA, VAE, and text encoders, organized them into the right folders, and finally got the Lightning v1.1 LoRA working.

Added Sage Attention + FP16 Accumulation to reduce VRAM usage and speed things up. Configured the CFG to 4.5 — and wow, images are razor-sharp, vibrant, and super clean compared to v1.0 or LightX2V.

If you’re into AI art or just want faster, high-quality results on 8GB VRAM, I highly recommend trying this workflow. Full tutorial On My Youtube Channel

Okay devs, this one caught me off guard.

I was testing out Google's NotebookLM, expecting it to be another AI summarizer. Cool, but whatever.

Instead, I found this "Studio panel" with something called Video Overview — and in less than 3 minutes, it literally turned a block of copied text and a YouTube transcript into a fully narrated explainer video with slide transitions, quotes, and everything.

No Adobe Premiere. No voiceover. Not even a script.

Check out the full video on my Youtube Channel

How it works:

You can paste copied text, link a YouTube video, or add docs

Then you hit “Generate Video Overview”

It gives you a narrated breakdown of the content

Bonus: you can customize tone, style, and export it right away

I tested it with AI tools and quantum networking stuff, and the result was clean enough to use in an actual client pitch or course video.

Maybe not perfect yet, but honestly? As someone who’s spent hours editing screencasts — I’m not complaining.

Anyone else tried this?

Lately, I’ve been diving deep into Gemini CLI and experimenting with multiple MCP integrations. I started by connecting Context7, which fetches real-time, version-specific docs and code snippets right into your prompt — super useful for quick reference and building faster.

Then I added Taskmaster-AI, which lets me tap into both OpenAI and Google API keys. This unlocked a much broader range of language models for different use cases like planning, summarizing, or automation.

To top it off, I included SmolAgents, a lightweight agent framework from GitHub that allows for modular, goal-driven AI behavior directly in the terminal.

What surprised me is how seamlessly these all work together inside Gemini CLI. You don’t need to call them out directly — once configured properly in your .gemini/settings.json, they complement each other naturally. Taskmaster handles structured planning, Context7 brings up-to-date references, and SmolAgents give flexible control.

I’m curious if anyone else is combining tools like these in their workflow? What kinds of prompts or workflows are you using Gemini CLI for?

Also, if you're interested, I made a quick walkthrough, check out the link in my profile.