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    Hassaku aims to be a anime model with a bright and distinct anime style.

    You can run Hassaku XL and use its API on SinkIn: https://sinkin.ai/m/JWknjgr

    My Discord for everything related to anime models and art.

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    Supporters:

    Thanks to my supporters Riyu, SETI and Kodokuna

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    Using the model:

    • The model is trained using images with minimal disruptive elements such as floating text, logos, speech bubbles, and signatures. If any of these elements are present in an image, please include the prompt "signature" as a negative prompt

    • Metadata and franchise tags are excluded—please do not use them. Tags such as "highres" and franchise-related tags like "re:zero kara hajimeru isekai seikatsu" are not used in training

    • Look at the example images, to see how the model should be used

    • Model is trained to be not complicated in use, tag order:
      First are the number of person, then character names, rest.
      Example: 1girl, rem \(re:zero\), standing, masterpiece, upper body

    • NoobAIs Loras working for the most part better in compare to Illustrious loras

    • Here are some resolution options for SDXL:

      • 1536 x 640

      • 1344 x 768

      • 1216 x 832

      • 1152 x 896

      • 1024 x 1024

      • 896 x 1152

      • 832 x 1216 (most recommended)

      • 768 x 1344

      • 640 x 1536


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    Version and License info:

    Description

    Model 1.2 without early access as christmas gift! examples are now with highress fix.
    V1.2 my attempt to reduce eye and image artifacts


    Whats better:
    - Eye and image artifacts reduced
    - More stable in image composition
    - Some concepts having a clearer image output

    Focusing on making backgrounds better next, without getting artifacts back, especially on the eyes.

    Edit: After people tested it, it seems artifacts got worse on specific promts, but got overall better. Working on that also. The new version is a bit more prompt following in compare to the last version, so its more important to use the right negative promt "bad quality" instead of "low quality".