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    Anima 2B & Anima 2.9B Flat Style Boost [Normal/Turbo] int8 - fp16 - INT8/FP16 2.9B Normal
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    Generation (Recommendation)

    • Nomal Model Generation (Recommendation)

      • Sampler: dpmpp_2m/Euler/Res-multistep/Er-sde

      • Scheduler: sgm-uniform/beta/beta57/linear-quadratic

      • Resolution: 832x1216, 812x1216, 1152x1536, 1536x1536 (iffy)

      • Steps: 28-50

      • CFG: 3.5-5

    • Turbo Model Generation (Recommendation)

      • Sampler: Er-sde/dpmpp_2m_sde_gpu

      • Scheduler: simple/sgm-uniform

      • Resolution: 832x1216, 812x1216, 1152x1536, 1536x1536

      • Steps: 12

      • CFG: 1


    This model is a merge I created by testing various combinations of LoRAs—a process that involved a lot of experimentation. I don’t recall the exact combinations, but I used the "comfyui-model-diff-to-lora" tool alongside the "Anima 1.0 base 2B" model. I extracted LoRAs by setting the original, unmodified base model as "model 1" and the model containing all the desired LoRA combinations as "model 2." The final output was a 700MB, rank-256 LoRA; given my PC’s specs, the extraction process takes about 15 minutes.

    After combining and extracting the LoRAs using this custom node, I used "ComfyUI-Anima-Remap" to adapt the LoRAs from the "Anima 2B" version to the "Anima 2.9B" version. I then saved these adjustments, resulting in customized versions of both the Anima 2B and 2.9B models, available in fp16 and int8 formats.

    I also extracted a "turbo" LoRA from the "Anima 1.0 turbo" model.

    Using "comfyui-model-diff-to-lora," I set "Anima 1.0 base" as "model 1" and "Anima 1.0 turbo" as "model 2" to perform the extraction.

    Note: I did this because I noticed that the "anima-turbo-lora-v0.2.safetensors" file they provide offers lower quality than what is already baked into the turbo models themselves. By using "comfyui-model-diff-to-lora," I was able to isolate and extract the specific differences between the models. I also extracted a LoRA from "anima_aestheticV11," which works perfectly without needing to download a separate version of the model. Note that LoRAs can be extracted at ranks 256, 128, 64, 32, 16, and 8;

    the memory requirement is essentially halved with each step down in rank.

    https://github.com/shootthesound/comfyui-model-diff-to-lora

    https://github.com/shin131002/ComfyUI-Anima-Remap

    Specs:

    Xeon E5 2650v4, 16GB RAM

    RX 7600 8GB

    240GB SATA SSD

    Description

    Anima 2.9B Base

    FAQ

    Checkpoint
    Anima

    Details

    Downloads
    161
    Platform
    CivitAI
    Platform Status
    Available
    Created
    11/10/2026
    Updated
    11/13/2026
    Deleted
    -

    Files

    Anima-2.9B-preview-v1_Style_Boost_Normal_V4.safetensors

    INT8_Anima-2.9B-preview-v1_Style_Boost_Normal_V4.safetensors