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Krea2 image model converted to GGUF for lower VRAM GPUs

A user has converted the Krea2 image generation model into GGUF format, making it more accessible for users with less than 8GB of VRAM. This conversion is particularly useful for those who need to offload model layers to CPU RAM, as GGUF format reduces both VRAM and RAM footprints. The converted models are available on Hugging Face, along with loader nodes for ComfyUI. AI

IMPACT Makes Krea2 more accessible to users with limited hardware resources.

RANK_REASON User-created conversion of an existing model to a new format for broader accessibility.

Read on r/StableDiffusion →

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

Krea2 image model converted to GGUF for lower VRAM GPUs

COVERAGE [2]

  1. r/StableDiffusion TIER_2 (SO) · /u/Fast-Horror-8964 ·

    KREA-2 GGUF Q8 2048x2048

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1ug08h3/krea2_gguf_q8_2048x2048/"> <img alt="KREA-2 GGUF Q8 2048x2048" src="https://preview.redd.it/5s0ykkvnrk9h1.png?width=140&amp;height=140&amp;auto=webp&amp;s=97283d70bf914c2aa18805318fc9e3091cb003db"…

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

    Krea2 GGUFs and GGUF loaders available

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1ueqqb4/krea2_ggufs_and_gguf_loaders_available/"> <img alt="Krea2 GGUFs and GGUF loaders available" src="https://preview.redd.it/742shbsyta9h1.png?width=140&amp;height=140&amp;crop=1:1,smart&amp;auto=webp…