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    Version names includes the base model it was trained from, use appropriate version for each model. Rouwei version wont work well with noob, the opposite is also true. Old noob versions would be too weak on a fresh noob checkpoints also, eps and vpred should also be used with their dedicated versions. Don't forget to check version descriptions for more specific info and list of supported style tags.

    Anima v4 info: Update for recent anima preview 3 version. List of styles is same.

    Anima v3.5 info: Same version as anima-p2_v3, but trained of full range of blocks. Should™ just work better overall. Out of dataset test still fine. List of styles the same, grid

    Anima v3 info: V3 is version trained from and for anima preview 0.2. Still won't affect data outside of dataset so much. Style list is same with v2, grid with styles.

    Anima v2 info: A bit late, since 0.2 preview is already out, but whatever. It was trained from 0.1 version of preview model. Catastrophic forgetting was addressed and improved, at least it's not so disastrous now. Mixing between styles was also a little bit improved from empirical tests. List of all styles and grid. It would not work as well with 0.2 preview.

    Anima v1 info: Anima version of lora comes with limited dataset. List of styles that comes with it. More like a test version. Model is in early stage and too incoherent at something above 1mp. If you decide to upscale, you would need to use tiled methods, unless you're okay with artifacts. Style tags should be invoked with @ before them. Mixing somewhat works, but not how it was with default xl weighting, rather like compel mode.

    MIO - mix in one versions with mix of ai styles and some real artists in dataset.

    BIO - best in one versions, containing only artificial images in dataset. 90% filled with naiv3 or styles from local models with very distinctive look only.

    Description

    Version trained from Noob-vpred-1.0 checkpoint. I don't recommend to use classic version of samplers, since they are producing oversaturated results, use cfg++ versions instead. Trained for longer than usual, probably a little overfitted. List of all styles in this version

    FAQ

    Comments (9)

    WorstAirtistDec 26, 2024
    CivitAI

    Are any of the models compatible with WaiNSFWIllustrious? I looked at all the names of each but can't quite tell.

    And so far that checkpoint has given me the best overall results.

    bakariso
    Author
    Dec 26, 2024

    I don't know, depends on top of what it was mixed. I don't like mixes which forcing the main style so much, such as the one you mentioned, it could be problematic to use style loras on top of those checkpoints

    FellissationsDec 27, 2024
    CivitAI

    Will an update happen with the noob eps version? Would be great if it's possible.

    bakariso
    Author
    Dec 27, 2024

    Probably yeah, a little later

    Hugs288Dec 28, 2024· 2 reactions
    CivitAI

    i am trying to replicate your results but i cannot find the setting for "sigmas_merge_enabled: True, sigmas_merge_mode: Multiply, sigmas_mult_factor: 2" in reforge, how can i find them? thanks

    fenreiDec 28, 2024
    CivitAI

    "firedotinc" is the style I love the most. Thank you for your hard work!

    bakariso
    Author
    Dec 29, 2024

    Yeah, firedotinc looks pretty cool, you could also try cfg++ samplers with 0.5-1.25 cfg ranges, your gens seems to fry out without it

    GuruharuJan 6, 2025
    CivitAI

    Great loras, but somewhat hurts nsfw perfomrance of noob with some styles. I feel like it could work better with no nsfw data from NAI.