ImageVivid
AI product photography for e-commerce stores
What it does
Most AI image generators produce generic visuals that still need editing before they can go into a product catalog. ImageVivid focuses on the e-commerce photography workflow: white-background catalog shots, lifestyle scenes, and campaign graphics generated from short prompts or existing product photos, with scene presets and consistent framing across an entire catalog. Free tier with credits; paid plans for higher volume.
AI product photography for ecommerce: catalog photos, lifestyle scenes, and white background images. Scene presets, 10 free credits to start.
ImageVivid is an independent AI image studio for e-commerce sellers, marketers, and growth teams. It turns short prompts into product-style shots, concept visuals, and campaign graphics—using scene presets, prompt enhancement, and 1K–4K output—without a full photo studio. General creation, product-style shots, marketing banners, and social visuals — each preset ships with ratios, style chips, and example prompts. Choose the workflow closest to the image you need. Start with a short English description or a scene example. Guests can use AI enhancement for free. Pick ratio, style, and quality. We optimize your prompt automatically — review or edit it before you generate. Sign in to spend…from imagevivid.com
Does the same job
all alternatives →More ai this month
the category →
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
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


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
the whole month →- TL
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