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    Lobotomized Mix - v1.0
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    Aha said I lobotomized this model 💀

    Description

    Lobotomized Mix is a highly capable base model built on NoobAI-vpred with extremely high character fidelity and prompt responsiveness. It has a strong predilection for complex lighting effects and functions best with clear well defined prompt tags. Character lora responsiveness is good. Style lora responsiveness is varied, ranging from "well you can clearly see some sort of effect" and "this mimicks the style perfectly". It is generally capable prompting up to three characters interacting with any issue or need for regional conditioning. Prompting four characters is possible but attribute-blend becomes increasingly likely the more characters are prompted. Prompting more than four distinct characters is probably impossible on the SDXL architecture without aid from extensions (though this does not count for clones or twins or otherwise visually distinct characters).

    Usage Requirements

    Standard NoobAI quality tags apply. Check NoobAI documentation for details. In addition, the very aesthetic positive and displeasing negative tags have some minor effect. The recommended structure according to LAXHAR Labs for ordering prompts is: artist tags, [your prompt here], quality tags

    This is a V-pred ZSNR model and will not work with Automatic1111-webui. In order to get images out of vpred models you need to either switch the dev branch on Automatic1111 webui, ComfyUI or reForge. My personal recommendation is to switch to reForge.

    In order to properly replicate the example images, you will need to enable the following extensions on reForge, listed in order of importance.

    "APG's now your CFG" and Guidance Limiter for reForge

    Perturbed-Attention Guidance

    and Mahiro CFG for reForge

    Recommended VAE is the one by LAXHAR Lab member heziiiii. You can find it here.

    License

    Same as NoobAI.

    Q & A

    • Q: What's the recipe?
      A: Version 1 is just a straight lora/lycoris merge. NoobAI-XL (vpred), this LyCORIS, this LoRA, this LoRA, this LyCORIS, this LoRA, and this LoCON. Weights are 0.6, 0.5, 0.5, 0.25, 0.5, and 1. You can take them and make your own mix or whatever, I don't give a shit. Hiding recipes for merges is lame and for gigalosers.

      Version 1.5 was originally an attempt to convert MIX-GEM-XLBD1 to vpred, but I ended up using so many weights from LobotomizedMix that it ended up just being another version of lobotomized mix. The sd-mecha code for this comes from @illyaeater (thanks imi). Mostly it just SLERP merges the dissimilarity between LobotomizedMix_v1,MIX-GEM-XLBD1, and the parallel component between the two using SDXL1.0 as a base, at alpha 0.5 which is blurred Gaussian kernel to prevent sharp transitions and introduce artifacts, onto SDXL1.0. (For what a SLERP merge is, see the sd-mecha documentation). After that it's just a simple merge of replacing index 0 of every unet attention layer from the former with the latter. Code is here.

    • Q: Difference between versions?
      A: Check the version sidebar. Alternatively, X/Y comparison charts for:

    • Q: Does this model have innate artist tags?
      A: Yes, but they're not very strong. You either have to prompt them at high weights to overcome the base style or they're not readily apparent.

    • Q: Tips and or tricks?
      A: If you have a composition you like but you don't like the way the final generation comes out, experiment with changing the prompt and sampler during a hires fix.

    • Q: How to get good eyes and fingers?
      A: Hires fix. Hires fix always. Models trained with 4CH VAE innately suck at producing clean results off the bat unless you're going for a simple style so you need to run the second denoise pass to clean up noise, even if you don't upscale.

    • Q: Pony?
      A: No.

    • Q: Why are all the seeds 114514?
      A:

    Description

    HuggingFace

    <lora:MIX-GEM-XLvpred06-extract-dim32:0.6> <lora:ai_styles_collection_noob_vpred-1.0-v4.02:0.5> <lora:dj_sloppa_noob_v2_vpred:0.5> <lora:ponyv6_noobV1_2_adamW:0.5> <lora:Chiaroscuro_vpred1 [915440]:0.25> <lora:SPO-SDXL_4k-p_10ep_LoCon:1>

    FAQ

    Comments (9)

    LazarotJan 15, 2025
    CivitAI

    Dejaste un link para los VAE, pero hay 4 opciones. cual deberia de usar o cual recomiendas. Muchas gracias de antemano. Excelente checkpoint! <3

    Jemnite
    Author
    Jan 15, 2025· 1 reaction

    vae_trainer_step_90000

    cosmogonautJan 16, 2025· 2 reactions
    CivitAI

    Can you explain the nodes/settings needed to recreate the forge settings on ComfyUI?

    Jemnite
    Author
    Jan 16, 2025

    PAG: https://github.com/pamparamm/sd-perturbed-attention

    APG: Not sure, I think it should be this one https://github.com/MythicalChu/ComfyUI-APG_ImYourCFGNow

    MaHiRo CFG was added to ComfyUI native nodes with this PR: https://github.com/comfyanonymous/ComfyUI/pull/5975

    2710333Jan 22, 2025
    CivitAI

    Nice model, good style/looks, good responsive to tags, overall good.
    My idea would be a merge with RouWei model. Maybe 0.6 V-pred or 0.6 epsilon.

    I really hope for an update in generall.

    Jemnite
    Author
    Jan 22, 2025

    Don't think that would have good results, RouWei and NoobAI have CLIP differences so we'd see some degradation in regards to tag fidelity and possible detachment from the unet training.

    2710333Jan 25, 2025

    @Jemnite damn... ok. didnt know but thanks for explaining.

    6751745Feb 5, 2025
    CivitAI

    is the vae baked in?

    Jemnite
    Author
    Feb 6, 2025

    I actually don't remember, lol. There is a baked in VAE, but I'm not sure if that's the one I recommended.

    Checkpoint
    NoobAI

    Details

    Downloads
    419
    Platform
    CivitAI
    Platform Status
    Available
    Created
    1/15/2025
    Updated
    5/13/2026
    Deleted
    -

    Available On (1 platform)

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