CivArchive
    Hassaku Anima by Ikena - v1.3
    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

    Every training was done with NL and tags, but only for style purposes. Tested with my settings: 22 to 28 steps, CFG 3.5 to 4, er_sde, no artist tags and minimal quality tags. Better: Better background compositions, less random, more structured Fewer "melted-looking" elements Slightly better (in around 1–2 out of 5 images): Better hands Fewer random light particles Better or worse depending on taste: Faces and bodies are more in shadows It tends to produce fewer simple "dot noses" Note: No additional knowledge was trained into the model, as Anima have severe knowledge loss across concepts when trained for extended periods without datacenter-level hardware, which I do not have.

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