Hello!When experimenting, I made a merge of <a target="_blank" rel="ugc" href="https://civarchive.com/models/2560840/anima-turbo-lora">Cornerstone Labs' Turbo Loras</a>, and <a target="_blank" rel="ugc" href="https://civarchive.com/models/2466415/cosmos-predict25-2b-base-distilled-extracted-dmd2-lora">Polyx's Cosmos-Predict2.5-2B DMD2 LoRA</a>Because one is rank32 and one is rank64, I did a binary masking with various routing maps. The version section describes what each one is. I think DMD2 Output Projection is the best for my taste. Works across various styles. Please post your images and feedback, I would like to hear if this helped you.<h3 id="how-to-use:"> How to use:</h3>I suggest between 6 and 12 steps. If you lower the weight below 0.8 or so, you might want extra steps (trial and error)er_sde and euler are good samplersfor schdulers, try beta57, beta, sgm uniform, and bong tangent, but simple and ddim uniform also work

Expressive Accurate Turbo for Anima

Almost all the layers are given to Polyx's Distill but the output projection layers are given to turbo 0.2 from Cornerstone.Bottom left in 4 way grids

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