Alternatives
Products that do what Bonsai Image does
Ultra-Fast, Light-as-Air AI Generation
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Mar 2026 · prismml.com
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The excitement surrounding PrismML’s 1-bit/ternary Bonsai models has the industry closely watching how smartphone giants, particularly Apple, will implement LLMs on edge devices. Moving AI on-device is a brilliant and necessary strategy. It ensures absolute user privacy in alignment with EU regulations, fundamentally shifts the economics away from costly cloud inference, and paves the way for a significant hardware upgrade supercycle as users seek true AI-capable silicon. To create a smart on-device "Semantic Router," models need to reach the 27B+ parameter scale. Achieving this on a…
Jul 2026
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We took a recently released Bonsai 1.7B ternary model from PrismML (https://github.com/PrismML-Eng/Bonsai-demo) and ran our agentic evolution search on it for 6 hours to optimize the Metal kernels. The search was fully autonomous. Measured against unmodified upstream llama.cpp at the same Bonsai/Q2_0 commit, same M4 Max: - tg128: 309.82 → 442.42 t/s (+42.0%) - pp512: 4250.32 → 4622.63 t/s (+8.8%)
May 2026 · agents2agents.ai
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2021 · easyzoom.com
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Introducing Bonsai 0.5B, one of the first ternary-weight LLMs to rival full-precision models of similar size, such as Qwen 2.5 0.5B and MobileLLM 0.5B. Trained on just 3.8B tokens, using 1,000x less data than other models, Bonsai redefines what’s possible for ultra-efficient training in low-bit models. Next, we're building larger and more powerful ternary-weight models for the edge. Technical Report: https://github.com/deepgrove-ai/Bonsai/blob/main/paper/Bonsa... Model (Unpacked): https://huggingface.co/deepgrove/Bonsai Reach us:…
2025 · github.com
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2020 · andai.tv
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Hey HN, I’m excited to share PRISM, an open-source system we’ve been building that fuses multiple AI models (OpenAI, Anthropic, and FAL API) with Processing to create evolving geometric art and static images. The idea came from our fascination with how AI can generate new forms but often lacks a memory or evolutionary approach. PRISM aims to solve that by “remembering” past successes and failures and then adapting its creative approach over time + useful for automating batches and variations of specific styles of techniques with prompt adjusting. *Key Features:* - Multi-model AI Generation:…
2025 · github.com
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Full-stack AI Creative Suite made for creatives-by-creatives
Jul 2026 · photonstudio.ai
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