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    MASTER_ANIMA: V2 | AniMaster

    Welcome to the next evolution of the Anima merging workflow. This checkpoint represents a refined, highly optimized fusion, designed to deliver the speed and simplicity of classic SD 1.5 merges, but with the stunning quality and flexibility of the modern DiT (Diffusion Transformer) architecture.

    • 📖 Looking for the complete tutorial and the scripts used to create this?
      I have moved the entire guide, including the Low-RAM Colab merging toolkit, to a dedicated article. If you want to learn how to build your own master merges in minutes, check it out here: 🔗 Mastering Anima Merges_v2

    About This Version

    I’ve been actively developing this ecosystem, and this release serves as a direct, highly optimized "close relative" of the original models. It proves that complex DiT merges don't have to be slow or resource-intensive. In fact, it offers Turbo-like flexibility without sacrificing the depth of a full-step model.

    Key Highlights

    • Turbo-Like Speed & Flexibility: Works beautifully in as few as 6 steps with low CFG, but gracefully scales up to high step counts and high CFGs for maximum detail.

    • DiT Native: Built to respect the modular nature of Anima while providing a unified, plug-and-play DiT checkpoint.

    • Extreme Resolution Scaling: Thanks to the DiT architecture, this model thrives at high resolutions. It handles 5000x5000+ effortlessly without breaking or degrading (higher resolution = better quality).

    • Highly Versatile: An excellent base for direct generation, or as a foundation for your own custom merges and specialized finetunes.

    This model is incredibly forgiving. Adjust based on your desired speed vs. detail trade-off:

    • Samplers: Euler, Euler SDE, DPM++ 2SDE Karras (Highly recommended for best results)

    • Steps:

      • Fast/Turbo mode: 6 - 10 steps

      • High Detail mode: 20 - 50+ steps

    • CFG Scale:

      • Soft/Turbo look: 1.5 - 3.0

      • Standard/High Detail: 4.0 - 7.0+

    • Resolution: 1024x1024 (Base) up to 5000x5000+ (The higher, the better the quality and coherence).

    I hope you enjoy this new iteration as much as I enjoyed building the tools behind it. If you create something amazing (especially at high resolutions!), feel free to share it in the comments.

    Happy generating!

    Description

    Simple

    FAQ

    Comments (4)

    lanceshockerApr 16, 2026· 10 reactions
    CivitAI

    Is this one based off the preview 3? Also, what makes this model stand out from all the rest?

    Herrscher_AGGA
    Author
    Apr 16, 2026

    Hmm... Tutorial for checkpoint merging?

    erica11666666925Apr 28, 2026· 6 reactions
    CivitAI

    Above all, I like it because it is highly consistent.

    Daedalus_7May 21, 2026· 2 reactions
    CivitAI

    This one is pretty amazing and follows my prompts wonderfully! Any ETA on the Base version of Anima? Thanks!

    Checkpoint
    Anima
    by Herrscher_AGGA
    Download (Beta) View on CivitAI
    anima
    anime
    base model
    checkpoint
    2d
    fantasy
    furry

    Details

    Downloads
    593
    Platform
    CivitAI
    Platform Status
    Available
    Created
    4/16/2026
    Updated
    11/11/2026
    Deleted
    -

    Files

    MASTER_ANIMA_V2.safetensors

    Size:
    3.90 GB
    SHA256:
    7c94a6a5384e062677962f03a176373197c0fbd10772414d66d5d6c4f25709b8

    Mirrors

    CivitAI (1 mirrors)

    qwen_image_vae.safetensors

    Size:
    242.05 MB
    SHA256:
    a70580f0213e67967ee9c95f05bb400e8fb08307e017a924bf3441223e023d1f

    Mirrors

    HuggingFace (363 mirrors)
    CivitAI (310 mirrors)
    TensorFiles (1 mirrors)
    ModelScope (3 mirrors)
    ModelScope CN (7 mirrors)

    anima_base_txt.safetensors

    Size:
    1.11 GB
    SHA256:
    cd2a512003e2f9f3cd3c32a9c3573f820bb28c940f73c57b1ddaa983d9223eba

    Mirrors

    HuggingFace (145 mirrors)
    CivitAI (275 mirrors)
    ModelScope (1 mirrors)
    ModelScope CN (2 mirrors)