MODELS
Generative AI models explained and tested: capabilities, benchmarks, hardware requirements, licensing and practical use.

Clef-omni Tutorial: Multimodal Classification with Workers AI
Build a documentation-based Clef-omni classifier with Python, understand multimodal inputs and pricing, and plan a fair accuracy and latency evaluation.

Mistral Large 4 Open Weights Released: FP8, NVFP4, GGUF & Local Hardware
Mistral Large 4 (Le Chonk) open weights arrived October 29, 2026. Compare FP8, NVFP4, GGUF, hardware needs, licensing and hosted alternatives.

Kandinsky 6.0 Is Open Source: Video + Audio Generation in ComfyUI
Kandinsky 6.0 is now open source with synchronized video and audio generation, Lite and Pro models, Full-HD super-resolution, and a ComfyUI integration.

Wan AI Video Models: Open Generation, Workflows, and Local Use
Wan AI video models explained from Wan 2.1 to Wan 2.2: text-to-video, image-to-video, ComfyUI, consumer-GPU options, MoE architecture and workflows.

LTX Video: Open AI Video Generation, Models, and ComfyUI Workflows
LTX Video and LTX-2 explained: synchronized audio-video generation, ComfyUI workflows, keyframes, controls, upscaling, hardware and local deployment.

Open Source LLMs: How to Choose, Run, and Deploy Local Language Models
Open-source and open-weight LLMs explained: model selection, quantization, local inference, hardware, APIs, licensing and practical deployment.

Open Source AI Image Generators: Models, Tools, and Local Workflows
Open-source AI image generators compared across FLUX, Stable Diffusion, editing, ComfyUI workflows, licensing, local hardware and practical use cases.

Open Source AI Video Generators: Models, Tools, and Local Workflows
Open-source AI video generators compared across text-to-video, image-to-video, ComfyUI workflows, hardware requirements, licensing and local deployment.

Open Source AI Models: A Practical Guide to Choosing and Running Them
Open-source and open-weight AI models explained: licensing, LLMs, image and video generation, local deployment, hardware requirements and how to choose the right model.

VTP: MiniMax’s Research on Scalable Visual Tokenizers
VTP explores scalable visual tokenizer pre-training for image generation, combining representation learning and reconstruction to improve generative model scaling. Code and weights available; License: MIT (repository software).
