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    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

    MIT License

    Copyright (c) 2021 OpenAI

    Permission is hereby granted, free of charge, to any person obtaining a copy

    of this software and associated documentation files (the "Software"), to deal

    in the Software without restriction, including without limitation the rights

    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell

    copies of the Software, and to permit persons to whom the Software is

    furnished to do so, subject to the following conditions:

    The above copyright notice and this permission notice shall be included in all

    copies or substantial portions of the Software.

    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR

    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,

    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE

    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER

    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,

    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE

    SOFTWARE.

    Description

    Works well with Eular a SGM Uniform

    35 to 50 steps

    5-7 CFG

    Checkpoint
    SDXL 1.0

    Details

    Downloads
    1,625
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/12/2025
    Updated
    3/26/2026
    Deleted
    -

    Files

    realityBoundxl_nextV60.safetensors

    Mirrors