
Gemini Nano Banana Watermark Remover
Remove the Google Gemini AI Watermark
What it does
Google Gemini AI watermark remover from image online. Free online tool - remove Google AiStudio and Nano Banana watermark from image online. Remove visible watermarks from images made by Gemini, Nano Banana, and Google AI Studio.
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Gemini Watermark RemoverJul 2026 · gemwatermark.com · ▲2Remove Gemini AI watermarks from images in seconds


- IBI built a simple "Gemini" watermark remover extension, "Peel Banana"Jan 2026 · chromewebstore.google.com · ▲7
So I made a thing Got tired of that Gemini watermark in the corner of Nano Banana images, so I built a little Chrome extension to remove it. It's called "Peel Banana" and I just put it up on the Chrome Web Store. Completely free. - The whole thing runs locally in your browser using a reverse-blending algorithm(based on allenk's GeminiWatermarkTool). - No uploads, no servers, no external API. - Just drag in your images and it spits out clean versions in about a second. Keeps the original quality too. - You can do a whole batch at once if you've got a bunch of images to process. Anyway,…
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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Dev tools · May 2026 · github.com