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Local AI Image Models: Boogu Turbo Fastest, Krea 2 Turbo Most VRAM-Efficient

A benchmark comparing three local image generation models—Z-Image Turbo, Boogu Turbo, and Krea 2 Turbo—on an RTX 3090 graphics card revealed distinct performance characteristics. Boogu Turbo emerged as the fastest per generated image, completing generations in approximately 5.5 seconds using only 4 steps. Z-Image Turbo offered the highest iteration speed per second, while Krea 2 Turbo was the slowest overall but the most VRAM-efficient, using around 18.8 GB of VRAM. All three models successfully ran within the 24 GB VRAM limit of the tested GPU. AI

IMPACT Provides performance data for local AI image generation models, aiding users in hardware and software choices.

RANK_REASON Benchmark results comparing multiple AI models on specific hardware. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/StableDiffusion →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Local AI Image Models: Boogu Turbo Fastest, Krea 2 Turbo Most VRAM-Efficient

COVERAGE [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/WinResponsible9977 ·

    Z-Image vs Boogu vs Krea 2 Turbo — local benchmark on a single RTX 3090

    <!-- SC_OFF --><div class="md"><p>At the request of a few users from <a href="/r/LocalLLaMA">r/LocalLLaMA</a>, I benchmarked <strong>Boogu Turbo, Z-Image Turbo, and Krea 2 Turbo</strong> head-to-head on a single RTX 3090.</p> <p>Each model used the same prompt, seed, and 1024×102…