TL;DR: This is a DMD2 LoRA = use CFG 1 and 8-12 steps (even if i personally prefer 16 steps, that's still half of what i usually use and i get my pictures in 30s instead of 80s).

V1.5

Borrowing a book from @kai and for the people not satisfied by 0.1 and 0.2 and wanted something in the middle, i did a merge of official 0.1 and 0.2 before doing the merge with the cosmos2.5 distilled LoRA. This end being a version between V1 and V2 = V1.5. This will probably be the last version except if a 0.3 version of the official LoRA comes out (and/or if a full distilled version of ANIMA base is released). NB: this version feels more sensitive to watermarks, you can use CFG 1.2-1.4 to be able to add a negative.

V2

By popular demand, here is a V2 of this LoRA based on the V0.2 of the source turbo LoRA. 😘

V1

This is my "personal" brand of the classic ANIMA Turbo LoRA, based on the DMD2 method.

There is already several "Turbo" LORA for ANIMA:

But interesting enough, someone had the idea to make and test a LoRA using the original Cosmos-Predict2.5 architecture: https://civitai.red/models/2466415/cosmos-predict25-2b-base-distilled-extracted-dmd2-lora

The main process was: extract (using SVD) a LoRA out of "Distilled Cosmos" minus "Original Cosmos" and test it on ANIMA... and it works! (even if some keys are refused because they changed shape in ANIMA). Below is a comparaison of what those bring to the table (RDBT is very close to the base Turbo and so was excluded).

Now, what is did is "stupid" = Merge those two 😁 (i left RDBT alone as sharing merge is forbidden).

To do so, i re-keyed both LoRA and do a re-rank of the resulting merge (32/16 instead of 64/64+32/32). The ratio was 6/4.

This way, i get more details but with a less saturated result.

And it works perfectly with nArnima V2:

Thanks for reading! 💖

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