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    Version 5.0 started as a 50/50 merge between minor finetunes of NoobAI and UnsafeXL 4.4 to bring their text encoders closer together. This was followed by 145 training iterations using over 40k images, with most of the new images being photographs. The final version of the model should default to a photorealistic style while still supporting the concepts of booru tags, including more fantastical and science fiction concepts. This model was not trained with quality tags, so prompts with "masterpiece", "best quality", and the like will pull it back towards its anime roots. If you just want anime style, which it still understands, you can prompt for "anime".

    Version 4.1 was trained with PonyXL v6 as the base, using a dataset of over 24k images, selected to teach concepts that were missing from the model, and 4.0 was based on AnimagineXL. 4.2 was a merge between 4.1 and 4.0, with further training afterwards to stabilize the merge and add styles besides anime. As a result, usage of this model needs to adhere to the licenses of both Pony and Animagine. The main focuses of this model are nsfw, holding weapons, and horror/monster themes, (which is where the "unsafe" name comes from) but it is meant to be a generalist model capable of handling images with or without those concepts. There is also a focus on being able to prompt facial expressions and general art styles.

    Due to using an anime model trained on booru tags as a base, this version fully trained the text encoder, so it should have much better prompt adherence when using booru tags, but will have worse natural language performance. Because it has been trained on a variety of styles, you'll get more consistent results if you specifically prompt for the style you want, such as "photorealistic", "realistic", "3d", "anime", "cel shading", "painterly", "1980s (style)", "oil painting (medium)".

    Description

    Training concepts like "dirty", "glowing weapon", "ornate weapon", "ornate armor", "body horror", and "shackles".

    FAQ

    Comments (6)

    1492835Oct 15, 2023
    CivitAI

    Local or Cloud trained?

    Cauldrath
    Author
    Oct 15, 2023· 1 reaction

    Local on a 3090

    1492835Oct 15, 2023

    @Cauldrath great to know it's possible. Kudos. Kohya SS?

    Cauldrath
    Author
    Oct 16, 2023· 3 reactions

    @MeditatingHamster Yeah, kohya_ss. Cache latents, bf16 precision, but save as float, full bf16 training and gradient checkpointing on. I can actually do 1024x1024 with a batch size of 4 without overloading my GPU memory.

    suede2031691Oct 19, 2023

    @Cauldrath Does kohya_ss already distinguish between two different text encoders for the xl model?

    Cauldrath
    Author
    Oct 19, 2023· 2 reactions

    @suede2031691 By default it doesn't train the SDXL text encoders, at least for Dreambooth, which is how I've been doing my training after version 1.0. There was an issue where it couldn't train ia3 because of the two text encoders, but the fix was merged into the LyCORIS repo back in August. I'm not sure if that's made it into the kohya_ss repo yet, though, but you can patch your local version to get the fix.

    Checkpoint
    SDXL 1.0

    Details

    Downloads
    814
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/14/2023
    Updated
    5/13/2026
    Deleted
    -

    Files

    unsafexl_v31.safetensors

    Mirrors

    HuggingFace (1 mirrors)
    CivitAI (1 mirrors)