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    Overview

    This full FT aims to fundamentally improve the SD1.5 model. It includes multi-character display, pose diversity, stable body structure, and additional information.

    The base model is an anime-style model incorporating elements of NAI2, and I aim for version 1 through repeated small-scale FTs of several thousand images. I plan to create several base models as raw materials, then improve the learning method while ultimately merging and adjusting them.

    High-resolution output is supported to some extent, but is not recommended at all.

    Although not specifically mentioned, all samples are low-resolution output via LCM.

    Note: Since this is SD1.5, please specify what you want to output first. In many cases, the quality prompt is just a nuisance.

    ver.0.4

    This version uses different materials and more images than before. Approximately 10,000 images were used, and it took 60 epochs.

    The learning convergence rate was slow, affecting the body structure and the details, but it produces beautiful images when it gets right. It uses materials from a similar series to 0.1 and 0.2, so it produces similar images.

    It has clear strengths and weaknesses in responding to each prompt, and may have some quirks. Since it's primarily for material use, I'll consider how to utilize it when merging.

    ver.0.3

    This is based on the output of Qwen-image. There are earlier versions, but they have a Qwen-like feel that's almost laughable, even down to the SFW elements. ver.0.3 itself was regenerated without those elements, so the Qwen feel is somewhat diminished. This time, due to issues with the Qwen environment, VAE had problems, resulting in inferior finger accuracy and color reproduction. However, I still think it's not a bad new material for SD1.5.

    ver.0.1+0.2K

    A simple tweak didn't make it look very cute, so I added some cutesy LoRA (which I don't usually use because it has strong side effects). If it works, it can be used as is, but the fingers and other parts tend to break down easily. Would it be better to apply it only to the face in Adetailer? (Would it have been okay to just release the LoRA?)

    ver.0.1+0.2

    Merge example. This is a combination of the ver.0.1 composition and the ver.0.2 character and painting style, lightly applying my usual LoRA tools. I focused on the details of the mid-distance face and the background. I only polished up some rough edges, but I think it's good enough to be used normally.

    ver.0.2_38

    This version is made using a completely different material series than ver.0.1 (though there are many similar images). I think this version is more stable in terms of character and anime illustrations, but the variety of poses is inferior to ver.0.1.


    ver.0.1_41

    While it worked reasonably well, I felt that 100 epochs was excessive, so I reworked this version in 41 epochs, revising the materials and changing the captions. In exchange for lowering the epoch, I increased the number of materials by 1.5 times (approximately 4,500 images). I also attempted to unify the anime art style. The details are a bit sloppy, and the fingers are a bit unstable. The facial details can be easily corrected with HiRes.Fix or LoRA, so it shouldn't be a problem. Do you need a few more Epochs? If anything, there seems to be a tendency for the body structure to become unstable when the Epochs are increased.


    ver.0.1

    This is the output of an anime-style model, fully fine-tuned for 100 epochs. This is my second full FT model.

    It feels more stable than my first attempt, but the overall finish isn't quite there yet. It would probably be better to adjust it by merging, but I'll try FT alone for a while.

    Looking back, I wonder why EtudeFT was so difficult. Perhaps it was a problem with the base model.

    Description

    FAQ

    Checkpoint
    SD 1.5

    Details

    Downloads
    108
    Platform
    SeaArt
    Platform Status
    Available
    Created
    9/18/2025
    Updated
    9/24/2025
    Deleted
    -

    Files

    Available On (1 platform)

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