<h1 id="read-the-user-guide-below!-biv0ekre2">Read the user guide below!</h1>AniEase is a merge of some SDXL anime checkpoints intended to be able to produce high-quality anime images.This model uses Animagine's way of prompting:<pre><code>1girl/1boy, character name, from what series, everything else in any order, masterpiece, best quality</code></pre>It is also recommended to include the style name of the images you want to generate in the prompt (eg. anime screencap, sketch, pixel art, famous artist name, etc.).The standard negative prompt recommended for this model:<pre><code>nsfw, lowres, (bad), text, error, fewer, extra, missing, worst quality, jpeg artifacts, low quality, watermark, unfinished, displeasing, oldest, early, chromatic aberration, signature, watermark, artistic error, username, scan, [abstract], realistic, 3d,</code></pre>You can add negative embeddings to the negative prompt, but I think it's not necessary at all.The recommended sampler is Euler a with ~5-7 CFG and ~25-30 steps.<h3 id="what-is-the-difference-with-aingdiffusion-xl-75g9usjvx">What is the difference with AingDiffusion XL?</h3>AingDiffusion XL is considered as "continued training" of Animagine XL v3, fine-tuning the model with my own trained LoRA. While AniEase is a merge of models, containing AingDiffusion XL itself and some other models.<h3 id="legals-rk7po8qbf">Legals</h3>This model is using <a target="_blank" rel="ugc" href="https://freedevproject.org/faipl-1.0-sd/">Fair AI Public License 1.0-SD.</a> Information about the model merge is included in the About Version section of each respective version.Because of some reason, I decided to make the merging recipe clearer which I will put in the "About Version" section starting from version v1.4.1.===For my Indonesian friends: AniEase. Haha, get it?

AniEase

New Formula.<pre><code>23,2024.06.13 17.15.12,"kivotos-v2 x (1-alpha) + AingDiffusionXL-v1.4 x alpha (0.0,0.0,0.00506365740740741,0.0196759259259259,0.04296875,0.0740740740740741,0.112123842592593,0.15625,0.205584490740741,0.259259259259259,0.5,0.562355324074074,0.623842592592592,0.68359375,0.740740740740741,0.794415509259259,0.84375,0.887876157407408,0.925925925925926,0.95703125,0)","0,0,0.00506365740740741,0.0196759259259259,0.04296875,0.0740740740740741,0.112123842592593,0.15625,0.205584490740741,0.259259259259259,0.5,0.562355324074074,0.623842592592592,0.68359375,0.740740740740741,0.794415509259259,0.84375,0.887876157407408,0.925925925925926,0.95703125","0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5",e6896b62e3,c7012519c5,e6896b62e3,0.5,0.25,Weight sum:A*(1-alpha)+B*alpha,True,!anis-ktn-M1,"['safetensors', 'save model', 'fp16', 'save metadata']",[],,normal,2682180025,,0.3,Off,[],</code></pre><pre><code>25,2024.06.13 17.41.30,"!anis-ktn-M1.fp16 x (1-alpha) + holodayo-v2.1 x alpha (0.0,0.0,0.00427756931309475,0.0170370868554659,0.0380602337443566,0.0669872981077808,0.103323329854383,0.146446609406726,0.19561928549564,0.25,0.5,0.565263096110026,0.62940952255126,0.691341716182545,0.75,0.804380714504361,0.853553390593274,0.896676670145618,0.933012701892219,0.961939766255643,0)","0,0,0.00427756931309475,0.0170370868554659,0.0380602337443566,0.0669872981077808,0.103323329854383,0.146446609406726,0.19561928549564,0.25,0.5,0.565263096110026,0.62940952255126,0.691341716182545,0.75,0.804380714504361,0.853553390593274,0.896676670145618,0.933012701892219,0.961939766255643","0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5",203bcb2897,e51f7a220b,203bcb2897,0.5,0.25,Weight sum:A*(1-alpha)+B*alpha,True,!anis-ktn-M2,"['safetensors', 'save model', 'fp16', 'save metadata']",[],,normal,1538097082,,0.3,Off,[],</code></pre><pre><code>28,2024.06.13 17.50.04,"!anis-ktn-M2.fp16 x (1-alpha) + AingDiffusionXL-v1.4 x alpha (0.0,0.0,0.0101273148148148,0.0393518518518519,0.0859375,0.148148148148148,0.224247685185185,0.3125,0.411168981481482,0.518518518518519,1.0,0.875289351851852,0.752314814814815,0.6328125,0.518518518518519,0.411168981481481,0.3125,0.224247685185184,0.148148148148148,0.0859375,0)","0,0,0.0101273148148148,0.0393518518518519,0.0859375,0.148148148148148,0.224247685185185,0.3125,0.411168981481482,0.518518518518519,1,0.875289351851852,0.752314814814815,0.6328125,0.518518518518519,0.411168981481481,0.3125,0.224247685185184,0.148148148148148,0.0859375","0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5",e09bb1683a,c7012519c5,e09bb1683a,0.5,0.25,Weight sum:A*(1-alpha)+B*alpha,True,!anis-ktn-M3,"['safetensors', 'fp16', 'save metadata', 'save model']",[],,normal,4116466362,,0.3,Off,[],</code></pre>Using <a target="_blank" rel="ugc" href="https://huggingface.co/yodayo-ai/kivotos-xl-2.0">KivotosXL v2.0</a>, <a target="_blank" rel="ugc" href="https://huggingface.co/yodayo-ai/holodayo-xl-2.1">Holodayo v2.1</a>, and <a target="_blank" rel="ugc" href="https://civitai.com/models/226403?modelVersionId=549113">AingDiffusionXL v1.4</a>.

Files with SHA256: 7b29bc43435f7ee8a0f261e4f4655660eda6daed00b3d83d79c75ddc5f47610b