Generative Gemstone Avatars
Generative Gemstone Avatars is
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What is Generative Gemstone Avatars?
Generative Gemstone Avatars is @m3000/hashed-gems is a React avatar component and hosted image API for generating deterministic gemstone avatars from any string seed. The same seed always produces the same gem, which makes it useful for profiles, comments, communities, dashboards, and developer tools.
Generative Gemstone Avatars pricing
Pricing model: Freemium
The website does not list any pricing, free tier, or paid plans. It presents @m3000/hashed-gems as a React avatar component and hosted image API with installation and usage instructions, but no subscription or billing details are shown. Based on the site, availability appears product/documentation-driven rather than plan-driven.
Generative Gemstone Avatars pros
- Deterministic output from any string seed
- Same seed always maps to same avatar
- Animated WebGL gem component
- Static PNG API for stable URLs
- Works in React and Next.js
- Useful for profiles and comments
- Useful for communities and dashboards
- Suitable for developer tools
- Stable gem traits derived from seed
- Includes gemstone type variation
- Includes cut variation
- Supports custom display size
- Supports higher internal resolution
- Static mode for better performance
- Custom className styling support
- Accessibility props included
- Canonical 512x512 image output
- Easy to embed in HTML img tags
- Good for email-safe avatar rendering
- No need to build avatar logic yourself
Generative Gemstone Avatars cons
- Only gemstone-style avatars, not human faces
- Requires JavaScript for the live WebGL component
- Static PNG is fixed at 512x512
- No freeform visual editor on the site
- Limited to predefined gem types
- Limited to predefined cut types
- Shimmer animation may be unnecessary in dense lists
- Resolution tuning adds complexity
- Best fit is developer-integrated use, not casual end users
- Website focuses on implementation examples, not customization gallery
Frequently asked questions about Generative Gemstone Avatars
What does @m3000/hashed-gems generate?
It generates deterministic gemstone avatars from a string seed. The same seed always resolves to the same gem, so the avatar stays stable across sessions and surfaces.
How do I use it in React?
The site shows importing the stylesheet and the HashedGem component, then passing a seed prop. Seed is the only required prop, and any string can be used to generate a unique gem.
Does it support animated avatars?
Yes. The interactive component uses WebGL and can show animated gemstone avatars. If you want to avoid animation, the site also documents a static mode.
What is the static PNG API for?
The hosted PNG API gives you a canonical image URL for a seed. That makes it useful when you need a stable avatar in HTML, emails, tables, comments, or other places where a fixed image is better than the live component.
What image size does the API return?
The site says each seed resolves to one canonical 512x512 image. The API always resolves to a fixed 512x512 output.
Can I control the avatar size in the component?
Yes. The size prop sets the CSS display size in pixels, and the component internally renders at size multiplied by devicePixelRatio for sharper results on retina screens.
Can I request higher-quality output?
Yes. The site documents a resolution prop that overrides the WebGL canvas pixel count. It is intended for high-quality captures for sharing or exports without changing the displayed size.
Can I choose the gemstone style?
Yes. The site says you can choose from 12 predefined gemstone types and 7 different gem cuts. The examples include types like diamond, ruby, sapphire, and emerald, and cuts like round-brilliant and rose.
Is there a performance-friendly mode?
Yes. Static mode disables the shimmer animation, which the site recommends for improved performance in lists or print contexts.
Does it support accessibility attributes?
Yes. The documentation shows using aria-label when the gem stands alone semantically, or aria-hidden when nearby text already identifies the user.