CivArchive
    [Anime] Wan2.1-Anti-Realistic-Transformation - v1.0
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    # Wan2.1 Anti Realistic Transformation

    ## 🌟 Introduction

    ### 简体中文

    Wan2.1 Anti Realistic Transformation 是一个 LoRa Merge 模型,目标是减少 Wan2.1 将二次元动漫角色转变为现实风格角色,比如避免在图片生成视频的过程中给二次元动漫角色加上厚厚的真人红嘴唇等

    ### English

    Wan2.1 Anti Realistic Transformation is a merged LoRA model designed to ​counteract the tendency of Wan video models to automatically convert anime characters into realistic styles. Specifically, it prevents the addition of incongruous realistic features—such as overly thick, realistic red lips—to anime characters during image-to-video generation, preserving their original artistic style

    ## 🛠️ How to Use

    ### Quick Start

    1. Download the model

    2. Load like normal Wan2.1 lora

    3. No trigger words, recommanded strength: 1.0, 1.2, 1.5

    ### About 480p/720p/rank32-256 models

    All tests were conducted using Wan21-Anti-Realistic-Transformation-720p-rank256.safetensors​ loaded onto ​Wan2.1-i2v-480p-fp16.safetensors. I think most resolutions/ranks should remain functional. For optimal results without extensive experimentation, ​I recommend the 720p-rank256 as your primary setup.

    I only have a low-vram card (**ONLY NVIDIA RTX 3050 Laoptop 4G**), so I can't make more test cases for different situations

    Civitai only has 720p-rank256 model, and other models can be viewed in huggingface repository (plz scroll to article bottom to view)

    ### About Wan2.2

    Compatibility likely remains effective (untested).

    ​Wan2.2​ demonstrates superior support for anime art styles compared to ​Wan2.1.

    ## 📊 Test Cases

    All test cases are in the [HuggingFace/main/example](https://huggingface.co/xChenNing/Wan21-Anti-Realistic-Transformation/tree/main/example) directory.

    All cases use LoRa LightX2V (strength 1.0), [dance_Breast pulsation_I2V](https://civarchive.com/models/1404679/dancebreast-pulsationi2v) (strength 0.8) for testing

    ## 🔍 About the ingredients

    This model merges the following source models. You may replicate or modify this recipe for finer adjustments:

    ### Wan14B_RealismBoost

    strength -0.8

    Negative weights in this model have ​limited effectiveness​ but cause minimal alteration to original motion characteristics.

    https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX/blob/main/OtherLoRa's/Wan14B_RealismBoost.safetensors

    ### Realistic Transformation

    strength -0.15

    Negative weights exhibit ​strong corrective capabilities, though they may affect original motion characteristics

    https://civarchive.com/models/1710040/realistic-transformation

    ## 🤗 HuggingFace Repo

    Civitai only has 720p-rank256 model, and other models can be viewed in huggingface repository

    https://huggingface.co/xChenNing/Wan21-Anti-Realistic-Transformation

    ## ⚠️ Usage Restrictions

    ### 用户承诺

    - ​禁止用于违法活动​(如欺诈、诽谤、侵犯隐私、传播仇恨言论等);

    - ​遵守所在地法律法规,包括但不限于数据安全、版权法及AI伦理规范;

    - ​不得绕过模型内置安全机制​(如内容过滤规则)。

    ### 作者明确不承担以下责任​

    - 因用户使用生成内容导致的直接或间接损失​(如法律纠纷、经济损失);

    - 生成内容的准确性、适用性及道德合规性;

    - 因模型漏洞、数据偏差导致的输出错误或偏见​。

    Description

    This is a Lora Merge

    FAQ

    Comments (13)

    Agent_SmthAug 5, 2025· 5 reactions
    CivitAI
    xChenNing
    Author
    Aug 5, 2025· 2 reactions

    Maybe you're just confused by large breasts

    xbamarisAug 5, 2025

    I think these are bad examples but I have noticed an improvement using this Lora at least with 2.2 WAN. I feel like it eliminates a little bit of the "rotoscoping" effect with anime style images.

    xChenNing
    Author
    Aug 5, 2025

    xbamaris What kind of examples would you like to see? Please feel free to suggest specifics!

    My current demos are all ​384x512 videos​ generated with ​fixed seeds​ and fixed LoRA, so they might appear slightly blurry due to the resolution constraints. While the improvements might be subtle at first glance, the ​side-by-side comparisons​ clearly demonstrate the LoRA's core objectives:
    1️⃣ Preserving authentic anime aesthetics (line-art lips, ​dot-style noses, and other stylized features)
    2️⃣ Minimizing interference with ​motion dynamics

    ultimaniacAug 5, 2025
    CivitAI

    Yes! Looking forward to testing. I've noticed the lip problem too.

    1834568372qqcom389Aug 6, 2025
    CivitAI

    大佬,有些视频生成嘴巴会乱张开,考虑炼一个让角色闭着嘴的lora吗

    ZelashZelashAug 6, 2025· 1 reaction
    CivitAI

    do we really need a ran256 model? my disk space is getting tight. is there a noticeable difference with rank64 for example?

    xChenNing
    Author
    Aug 6, 2025· 2 reactions

    Yes, I also made models from rank32 to rank256 and they are now in huggingface

    https://huggingface.co/xChenNing/Wan21-Anti-Realistic-Transformation

    slash726Aug 10, 2025· 3 reactions
    CivitAI

    Lora is amazing! I'm looking forward to WAN 2.2!

    KeMiliUsOct 24, 2025· 2 reactions
    CivitAI

    Can you train it on wan 2.2 please?

    xChenNing
    Author
    Oct 26, 2025

    This model is a LoRa Merge model, not one that was trained. While I haven’t done proper testing, it seems you can use this LoRa directly as one for Wan 2.2. The results are unknown, though there might still be some effect—it’s recommended that you give it a try.

    xChenNing
    Author
    Oct 26, 2025

    Wan2.2 seems to have better support for anime—it’s not as easy to turn anime styles into realistic human-like ones. As far as I know, there are also many similar fusion models, such as High Noise models that support both Wan2.1 and 2.2 LoRAs, along with various other fusion models. Trying to combine them could lead to better results.

    KeMiliUsOct 26, 2025

    @xChenNing It s better, but some loras in generating also very change style from original I2V pic.

    LORA
    Wan Video 14B i2v 720p

    Details

    Downloads
    1,094
    Platform
    CivitAI
    Platform Status
    Available
    Created
    8/5/2025
    Updated
    4/25/2026
    Deleted
    -

    Files

    Wan21-Anti-Realistic-Transformation-720p-rank256.safetensors

    Available On (1 platform)

    Same model published on other platforms. May have additional downloads or version variants.