Try This Skill
One-click AI stylization for e-commerce & portrait visuals
What it does
Transform ordinary photos into professional, eye-catching visuals in seconds. Explore a huge collection of curated AI styles for e-commerce product retouching, portrait redesign, background replacement, vintage filters, and artistic sketch effects. Featuring one-click operation and fully unlocked functions, it delivers simple, fast, and high-quality creative solutions for all creators and sellers.
Try This Skill lets you use expert-level AI skills without learning prompts. Browse curated AI tools for AI image generation, portrait enhancement, photo restoration, anime art and more — upload a photo and get professional results in seconds.
Browse curated AI skills and get professional results in seconds. New users get free 30 credits to try Add fun retro VHS tape lo‑fi effect, subtle color bleed, scan lines, soft tape grain, vintage old videotape visual style for any photo. Upload old photo, AI generates a 2×2 photo booth grid. Keep original facial features, create 4 young‑age expressions: smile, laugh, surprise, wink, 90s vintage film style. Upload your portrait photo, transform it into nostalgic vintage film beach vacation shot. Keep your original body pose, facial expression and gestures. Apply authentic retro film grain texture, warm natural daylight, shimmering ocean water background, classic old‑film color grading,…from trythisskill.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.
AI · 17d ago · simedw.com
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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…
AI · 27d ago · cactuscompute.com
Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io
- SA
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.
AI · 17d ago · simedw.com