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    Preview 46168196

    This is a full restoration of Zero0Int and AbstractPila work on the CLIP-L model.

    • In 1000's of test images the FP32 model corrected bad anatomy in cases where the FP16 model failed (Seed to Seed)

    • In most cases the images have little difference but when differences exist the FP32 model was reliably more accurate (As it should be mathematically)

    • Note the vision models use the VIT-L vision blocks Zer0Int has a new finetune of the VIT/Vision model here

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    Comments (5)

    nonessential39024153Dec 19, 2024· 2 reactions
    CivitAI

    Thanks for sharing this. I have not done a lot of testing, but this version of the Smooth Clip-L does give a slight (but noticeable) improvement to the quality of small details on most of my generations, as compared to the original Zer0int Smooth Clip-L - using ComfyUI with the ComfyUI parser and the node SamplerCustomAdvanced. There are not as many noise artifacts in generations.

    nonessential39024153Dec 19, 2024· 1 reaction

    Same is true for the improved text "detail-improved" Zer0int Clip-L - also seeing better fine details with it in comparisons, when using ComfyUI with the ComfyUI parser and the node SamplerCustomAdvanced

    Felldude
    Author
    Dec 19, 2024

    Thank you for the comparisons, out of curiosity are your using --fp32-text-enc | or is the improvement noted with downcasting

    nonessential39024153Dec 19, 2024· 1 reaction

    @Felldude yes with fp32 encoding, the only parameters I use are: --fp32-vae --fp32-text-enc

    Felldude
    Author
    Dec 19, 2024· 1 reaction

    @nonessential39024153 You would be getting the most of it then.