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PrismML releases tiny Bonsai Image 4B models for local devices

By PulseAugur Editorial · [2 sources] ·

PrismML has released Bonsai Image 4B, a pair of diffusion transformer models designed for efficient image generation on local devices. The 1-bit Bonsai Image 4B utilizes binary weights, while the Ternary Bonsai Image 4B uses ternary weights. These models require minimal memory, with footprints of 0.93 GB and 1.21 GB respectively, making them suitable for resource-constrained environments. AI

IMPACT Enables efficient image generation on consumer hardware, potentially broadening access to AI art tools.

RANK_REASON Release of new, specialized models with low resource requirements.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

PrismML releases tiny Bonsai Image 4B models for local devices

COVERAGE [2]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Addyad ·

    1-bit Bonsai Image 4B and Ternary Bonsai Image 4B Image Generation for Local Devices with just 0.93 GB and 1.21 GB respectively of Diffusion Transformer Footprint. So tiny!

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1tusnh5/1bit_bonsai_image_4b_and_ternary_bonsai_image_4b/"> <img alt="1-bit Bonsai Image 4B and Ternary Bonsai Image 4B Image Generation for Local Devices with just 0.93 GB and 1.21 GB respectively of Diffusio…

  2. r/StableDiffusion TIER_2 English(EN) · /u/AgeNo5351 ·

    Bonsai Image 4B, a pair of low-bit diffusion transformer deployments built from FLUX.2 Klein 4B .

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1tspz3p/bonsai_image_4b_a_pair_of_lowbit_diffusion/"> <img alt="Bonsai Image 4B, a pair of low-bit diffusion transformer deployments built from FLUX.2 Klein 4B ." src="https://preview.redd.it/emn9kwfssf4h…

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