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AI Models – A walkthrough by Andreas Horn
the 8 most important model types and what they’re actually built to do: ⬇️
1. 𝗟𝗟𝗠 – 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹
→ Your ChatGPT-style model.
Handles text, predicts the next token, and powers 90% of GenAI hype.
🛠 Use case: content, code, convos.
2. 𝗟𝗖𝗠 – 𝗟𝗮𝘁𝗲𝗻𝘁 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 𝗠𝗼𝗱𝗲𝗹
→ Lightweight, diffusion-style models.
Fast, quantized, and efficient — perfect for real-time or edge deployment.
🛠 Use case: image generation, optimized inference.
3. 𝗟𝗔𝗠 – 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗔𝗰𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹
→ Where LLM meets planning.
Adds memory, task breakdown, and intent recognition.
🛠 Use case: AI agents, tool use, step-by-step execution.
4. 𝗠𝗼𝗘 – 𝗠𝗶𝘅𝘁𝘂𝗿𝗲 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝘁𝘀
→ One model, many minds.
Routes input to the right “expert” model slice — dynamic, scalable, efficient.
🛠 Use case: high-performance model serving at low compute cost.
5. 𝗩𝗟𝗠 – 𝗩𝗶𝘀𝗶𝗼𝗻 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹
→ Multimodal beast.
Combines image + text understanding via shared embeddings.
🛠 Use case: Gemini, GPT-4o, search, robotics, assistive tech.
6. 𝗦𝗟𝗠 – 𝗦𝗺𝗮𝗹𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹
→ Tiny but mighty.
Designed for edge use, fast inference, low latency, efficient memory.
🛠 Use case: on-device AI, chatbots, privacy-first GenAI.
7. 𝗠𝗟𝗠 – 𝗠𝗮𝘀𝗸𝗲𝗱 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹
→ The OG foundation model.
Predicts masked tokens using bidirectional context.
🛠 Use case: search, classification, embeddings, pretraining.
8. 𝗦𝗔𝗠 – 𝗦𝗲𝗴𝗺𝗲𝗻𝘁 𝗔𝗻𝘆𝘁𝗵𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹
→ Vision model for pixel-level understanding.
Highlights, segments, and understands *everything* in an image.
🛠 Use case: medical imaging, AR, robotics, visual agents. -
Introducting ComfyUI Native API Nodes
https://blog.comfy.org/p/comfyui-native-api-nodes
Models Supported
- Black Forest Labs Flux 1.1[pro] Ultra, Flux .1[pro]
- Kling 2.0, 1.6, 1.5 & Various Effects
- Luma Photon, Ray2, Ray1.6
- MiniMax Text-to-Video, Image-to-Video
- PixVerse V4 & Effects
- Recraft V3, V2 & Various Tools
- Stability AI Stable Image Ultra, Stable Diffusion 3.5 Large
- Google Veo2
- Ideogram V3, V2, V1
- OpenAI GPT4o image
- Pika 2.2
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ComfyUI-CoCoTools_IO – A set of nodes focused on advanced image I/O operations, particularly for EXR file handling
https://github.com/Conor-Collins/ComfyUI-CoCoTools_IO
Features
- Advanced EXR image input with multilayer support
- EXR layer extraction and manipulation
- High-quality image saving with format-specific options
- Standard image format loading with bit depth awareness
Current Nodes
Image I/O
- Image Loader: Load standard image formats (PNG, JPG, WebP, etc.) with proper bit depth handling
- Load EXR: Comprehensive EXR file loading with support for multiple layers, channels, and cryptomatte data
- Load EXR Layer by Name: Extract specific layers from EXR files (similar to Nuke’s Shuffle node)
- Cryptomatte Layer: Specialized handling for cryptomatte layers in EXR files
- Image Saver: Save images in various formats with format-specific options (bit depth, compression, etc.)
Image Processing
- Colorspace: Convert between sRGB and Linear colorspaces
- Z Normalize: Normalize depth maps and other single-channel data
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Claudio Tosti – La vita pittoresca dell’abate Uggeri
https://vivariumnovum.it/saggistica/varia/la-vita-pittoresca-dellabate-uggeri
Book author: Claudio Tosti
Title: La vita pittoresca dell’abate Uggeri – Vol. I – La Giornata Tuscolana- ISBN: 978-8895611990
Video made with Pixverse.ai and DaVinci Resolve
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DiffusionToolkit – An image metadata-indexer and viewer for AI-generated images
https://github.com/RupertAvery/DiffusionToolkit
It aims to help you organize, search and sort your ever-growing collection.
https://github.com/RupertAvery/DiffusionToolkit/blob/master/Diffusion.Toolkit/Tips.md
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KUNG FURY 2 movie trailer
David Sandberg has responded and said “This was an internal promo video that was never supposed to be seen by the public. I feel bad because it contains a bunch of plot points and temp VFX,” Sandberg told Variety in a statement. “I hope at least people can see the passion that we poured into the movie, the world deserves to see it as it was meant to be seen. This movie has been held hostage for the past 5 years but I promise to keep fighting for it and make sure this film gets the chance it truly deserves.”
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Mape – ComfyUI Helpers
- Multi-monitor image preview
- Variable Assigment/Wireless Nodes
- Prompt Tweaking
- Command Palette (Shift+P)
- Pinned favourite nodes
- Fuzzy search
- Auto organize nodes
- Error management
- Node navigation
- Node time tracking
- Hidden nodes connections
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GIFStream – 4D Gaussian-based Immersive Video with Feature Stream
https://xdimlab.github.io/GIFStream/
Immersive video offers a 6-Dof-free viewing experience, potentially playing a key role in future video technology. Recently, 4D Gaussian Splatting has gained attention as an effective approach for immersive video due to its high rendering efficiency and quality, though maintaining quality with manageable storage remains challenging. To address this, we introduce GIFStream, a novel 4D Gaussian representation using a canonical space and a deformation field enhanced with time-dependent feature streams. These feature streams enable complex motion modeling and allow efficient compression by leveraging their motion-awareness and temporal correspondence. Additionally, we incorporate both temporal and spatial compression networks for endto-end compression.
Experimental results show that GIFStream delivers high-quality immersive video at 30 Mbps, with real-time rendering and fast decoding on an RTX 4090.
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