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Source channel @githubtrending · Post #15044 · Aug 9

#javascript#capture_screenshots#clone#dom#js#screenshot snapDOM is a very fast and accurate tool that captures any part of a webpage (HTML elements) as images, including styles, fonts, shadows, and even hidden parts like shadow DOM. It can save these captures in many formats like SVG, PNG, JPG, WebP, or canvas, and works without extra dependencies using standard web APIs. You can easily customize the image size, quality, and even exclude parts you don’t want. It handles complex web features and is much faster than similar tools, making it great for quickly creating high-quality snapshots of web content for use in apps or presentations. This saves you time and effort in capturing styled webpage visuals. https://github.com/zumerlab/snapdom

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@githubtrending · Post #15600 · 04/04/2026, 11:30 AM

#python#apple_silicon#florence2#idefics#llava#llm#local_ai#mlx#molmo#paligemma#pixtral#vision_framework#vision_language_model#vision_transformer MLX-VLM lets you run, chat with, and fine-tune Vision Language Models (VLMs) plus audio/video models on your Mac using MLX—install easily with `pip install -U mlx-vlm`. Use CLI for quick text/image/audio generation (e.g., `mlx_vlm.generate --model ... --image photo.jpg`), Gradio UI for chats, Python scripts, or a FastAPI server with OpenAI-compatible endpoints supporting multi-images/videos. Features like TurboQuant cut KV cache memory by 76%, and LoRA/QLoRA fine-tuning works on consumer hardware. You benefit by experimenting with powerful multimodal AI locally—fast, memory-efficient, no cloud costs, perfect for Mac users tweaking models affordably. https://github.com/Blaizzy/mlx-vlm