FreeImage2Video
Turn any still image into a video — no login, free.
What it does
Turn any image into stunning videos with our free AI image-to-video tool. No login, no credit card, no watermark — just upload a photo, describe the motion, and get a 5-second MP4 in minutes. Powered by Grok's video model with Cloudflare R2 for fast, private processing. Unlike Canva or Adobe, we don't put an account wall between you and your first animation. Start creating in seconds, right in your browser.
Try one watermarked 480p, 5-second image-to-video generation without login. Create a free account for 12 credits and settings up to 1080p and 15 seconds.
Give a still image a pulse. Add natural movement, camera motion, and cinematic atmosphere—right in your browser. Create a free account to choose the model, resolution, and duration. Our image to video AI free workflow keeps the creative process deliberately simple. Drop in a clear JPG, PNG, or WebP image up to 10MB. The preview stays on the same page so you can replace the frame before generating. Describe one movement or leave the prompt empty. Duration and output quality are visible before you spend time on a render. Preview the real result in your browser, then download the MP4 whenever you want a local copy. Image-to-video models work best when the source frame and motion instruction…from freeimage2video.com
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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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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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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