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    This is a workflow for SDXL(NoobAI XL/Illustrious-XL) and Anima.

    Last update: Anima Turbo LoRA + NAG

    Anima Turbo LoRA + NAG

    By using Anima Turbo LoRA, you can use Negative Prompts with NAG while maintaining low steps and CFG 1.

    Since applying NAG reduces generation speed, when generating with the 8–12 steps recommended for Anima Turbo LoRA, it is recommended to set it to approximately half of the total steps, such as start_percent=0 and end_percent=0.5.

    Anima Couple

    • v1

    The mask is split to draw the characters separately. If a single LoRA is trained on multiple characters, it can distinguish between them, but it does not support combining multiple character LoRAs.

    Since Anima generation takes time, this uses a speed-up node (Accelerate subgraph).
    In exchange for faster generation, some degradation may occur. Adjust the parameters as needed.

    • v2

    Support for applying multiple character LoRAs has been added.

    Anima

    The processing order is: generation → Hires.fix → face-only Hires.fix → hands-only Hires.fix → upscale.

    Anima XY Plot CheckPoint

    This is a workflow for comparing Anima-based checkpoints.

    Require

    • SageAttention

    here

    Please download and install the appropriate version for your environment.

    • triton-windows

    ex)

    pip install triton-windows

    • sam3

    v3.0 here

    v3.1 here

    • my custom nodes

    https://github.com/hybskgks28275/ComfyUI-hybs-nodes

    https://github.com/hybskgks28275/ComfyUI-Anima-NAG

    • Build Tools for Visual Studio

    If you enable torch.compile, please install triton-windows.

    Also, install Build Tools for Visual Studio and make sure that cl.exe is added to your system PATH.

    Description

    FAQ

    Workflows
    Anima

    Details

    Downloads
    369
    Platform
    CivitAI
    Platform Status
    Available
    Created
    5/15/2026
    Updated
    5/29/2026
    Deleted
    -

    Files

    workflowForSDXLNoobaiXL_animaTurboLoraNAG.json

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    10.21 KB
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