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    Goddess Raw (Schnell) - FULL_Checkpoint_NF4
    NSFW
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    Goddess Raw (Schnell)

    Goddess Raw is a unique FLUX model that has realistic skin at very low steps. I even put my results up against the ULTRA model

    • NF4 FULL CHECKPOINT - DO NOT LOAD ADDITIONAL TE,CLIP,VAE

    • FP8 and GGUF Require additional TE and CLIP-L & VAE

    FP8 Model load as Automatic or Default not FP8 as it is a mixed precision UNET BF16/FP8

    • No more identical faces

    • Focused on creating realistic looking images at 4-6 Steps

    • Some NSFW training no harder then full female nudity. (No sexually explicit training)

    Forge Users I highly recommend adding this line to your USER.bat

    set COMMANDLINE_ARGS= --unet-in-bf16 --vae-in-fp32 --cuda-malloc --clip-in-fp32

    *Cuda-malloc only if using a Nvidia RTX


    I have used prompts for testing based off of onsite remix, in some cases I feel this model out preformed the DEV Pro in prompt adherence and realism

    Description

    FAQ

    Comments (7)

    BilboTagginsDec 21, 2024· 3 reactions
    CivitAI

    Interesting... any chance of a Q4 GGUF unet?

    Felldude
    Author
    Dec 21, 2024· 1 reaction

    If it plays well with the T5 scaled given that seems to be the most popular

    Felldude
    Author
    Dec 23, 2024· 3 reactions

    Done

    SencneSDec 26, 2024

    @Felldude Interesting the quality is very good. I know this is silly, but can I get a Q8 GGUF? I know that the FP8 is right there. One thing I've been trying to test is the difference between FP8 and Q8 GGUF. It's difficult to see which one is better, and there is little home brew models that have both FP8 and Q8 GGUF.
    I was came across this reddit thread - https://www.reddit.com/r/StableDiffusion/comments/1eso216/comparison_all_quants_we_have_so_far/
    And it suggests that Q8 might produce very similar results to FP16, but they didn't really touch on FP8. In fact the only example of FP8 is actually worse than Q8...

    If you don't want to, that's fine, just asking just in case.

    Edit:- This is more for our brothers and sisters like me with 16gb VRAM, that can afford more but can't quiet go full FP16 LOL

    Felldude
    Author
    Dec 26, 2024

    @SencneS Q8 has good results but GGUF is slower for most people then NF4 or FP8, I would say Q8 is better quality in most cases then FP8, however most articles will tell you you can't seed to seed compare - With CPU offloading BF16/FP16 often are the same speed as GGUF so I only do the GGUF models for request

    SencneSDec 27, 2024

    @Felldude That's what I mean, Q4 is popular because it's for the 8G VRAM brothers. I've got 16G so I can afford a little more quality. That's why I'm asking for a Q8 GGUF.
    I'd be more than happy todo the conversion if I have the main file. I'll even send it to you to throw it up here.

    Felldude
    Author
    Dec 27, 2024

    @SencneS I have no issue with posting the Q8, but I do space out any updates to a checkpoint, with all the versions and types it becomes confusing for new users. But I would encourage you to try the FP8 model as it is the largest possible model a 16GB card user can fit, and do to it having BF16 blocks also the quality is superior and it is faster

    Checkpoint
    Flux.1 S

    Details

    Downloads
    190
    Platform
    CivitAI
    Platform Status
    Available
    Created
    12/21/2024
    Updated
    5/15/2026
    Deleted
    -

    Available On (1 platform)

    Same model published on other platforms. May have additional downloads or version variants.