CivArchive
    Hassaku Anima by Ikena - v1.1
    Preview 1
    Checkpoint/Model created by Ikena (please credit them and support them whenever you can): https://civitai.com/models/2641326/hassaku-anima Description by Ikena: Hassaku aims to be an anime model with a bright, distinct, slightly 2.5D anime style. Join my Discord https://discord.gg/zSR5FcYWWE for everything related to anime models and AI art. If you’d like to support my work, you can do so on SubscribeStar https://subscribestar.adult/citrus-models Every bit helps me continue making AI models and even an AI VTuber, which is currently in the works. How to Use 30-50 steps, CFG 4-6, recommended sampler er-sde. - Put @ in front of artist tags - Use lowercase for tags and spaces instead of underscores. - Recommended positive: "masterpiece, best quality, score_7,", but since masterpiece is altered, in some cases masterpiece is enough - Recommended negative: worst quality, low quality, score_1, score_2, score_3, blurry, jpeg artifacts, sepia," - When using a tag that is different between Danbooru and Gelbooru, prefer the Gelbooru version. Supporters Special thanks to my supporters: pttcot, SETI, Kodokuna and dataset captioners mariotheknight and tamashiicolle Recommended Resolutions for Anima Here are some resolution suggestions for Anima: 1536 × 640 1344 × 768 1216 × 832 1152 × 896 1024 × 1024 896 × 1152 832 × 1216 — most recommended 768 × 1344 640 × 1536 Larger resolutions are possible. Note: It is a Diffusion Transformer (DiT) model, it is less restrictive on sizes in compare to a Unet like Illustrious.

    Description

    What’s better - More variety from the same prompt when using different seeds. - More variation in facial expressions across different seeds, reducing the “same face” effect. - Better constructed backgrounds. - Reduced overlay-like blending effects on many concepts. Trade-offs - Style can be less stable on some concepts, but the overall style should remain the same. Other notes - Faces may appear more in shadow, which can make darker images look better overall. Only changes in the internal style merge. No new or additional characters were trained in for this update.

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