CivArchive
    wan 2.2 stability - v1_LOW_(I2V/T2V)
    NSFW

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    This is a mild nsfw lora. Trained specifically to depict a character in various poses and enable consistent character control. It contains no sex scene datadset.

    • Works well with I2V & T2V.

    • Supports character loras without affecting the face. Base dataset has a tendency to generate an average normalization dataset type of face. If you want to create a unique looking face describe face characteristics and face expression

    Prompting

    zerozeroam - you can do just fine without the lora trigger keyword. Keyword enables dataset trained at extreme close-up

    High LORA works best with low weight (0.1 - 0.3)
    Low LORA works best with high weight (0.7-1.0)

    I used the following prompt structure:

     <lora trigger keywords>
     <description of a character, clothing, setting, mood>
     <keywords>
     <action>


    protip 1: blur the I2V image and add "focus on person"

    protip 2: use joycaption to generate a prompt to better represent your idea

    Keywords

    (choose one or mix from each category)

    young adult, adult, mature

    obscured, tiny pussy, small pussy, medium pussy, large pussy,

    skinny, thin, fit, medium, large, very chubby

    standing, leaning, laying, sitting, crouching, on all four,

    relaxed, standing straight, standing flexing, leaning forward, leaning backward, laying on back, laying on stomach, laying on a side, sitting on a floor, sitting on a chair, flexing, relaxing,

    one arm up, arms up, both hands up, arms down, arms crossed, legs down, legs up, legs crossed,

    arms together, arms in t-pose, legs together, legs to the side

    in front, slightly to the side, side, from behind,

    low angle, from below, frog perspective, high angle,, from above, drone perspective,

    in detail, close up, focused on a character, from a distance,

    correct, upside down, laying on side

    looking at camera, looking away, looking slightly over the should, looking over the shoulder, looking down, looking up

    looking at facing up, facing to the side, facing down,

    wearing clothes, half naked, completely naked

    naked outfit, casual formal, dressed up,

    no makeup, gentle makeup, heavy makeup

    breasts under clothes, partialy visible, bra, half exposed, naked upper body,

    flat chest, tiny breasts, medium breasts, very large breasts,

    happy, joyful, neutral face, worried, teasing, curious, sad, excited, playful,

    white skin, black skin,


    Technical

    • Sample videos generated with only lighting lora on a base wan 2.2. model

    • Rank 64

    • Trained on 480x720 dimensions dataset

    Description

    FAQ

    Comments (3)

    TieFighterPilotJun 28, 2026
    CivitAI

    Nice! So finally this will look natural...
    https://civitai.red/images/126832886

    krmdJul 1, 2026
    CivitAI

    Thanks for the LoRA. Could you provide information on how to create the prompt using joycaption?

    _00am
    Author
    Jul 1, 2026

    You can try using joycaption from huggingspace eg https://huggingface.co/spaces/fancyfeast/joy-caption-beta-one

    Give it an input image and prompt to precisely describe an image eg
    Write a very long detailed description for this image. Do NOT mention the image's resolution. Do NOT mention any text that is in the image. Do not mention the mood/feeling/etc of the image. You MUST use at least dozen of keywords from the prompt to write a very long caption: <here is your list of copy pasted keywords>

    Writing the prompt is a topic on it's own, often trial an error, you must speak like a model itself. A good prompt for wan consists of senteces that work, and avoid bs that doesn't. Sentence eg "The weather is nice" is so generic it does more damage than it helps.

    And how to describe action? Don't write "Person throws a rock", write "Flexing their muscles person reaches to the back with their arm and in a split section, in quick and dynamic motion moves their hand in an arc forward throwing a solid rock." or something like that. It's not the easiest thing to do, but the more you observe captioning models like joycaption do it, the more you learn.

    Hope it helps, even if just a little

    LORA
    Wan Video 2.2 I2V-A14B

    Details

    Downloads
    691
    Platform
    CivitAI
    Platform Status
    Available
    Created
    6/28/2026
    Updated
    7/3/2026
    Deleted
    -

    Files

    zerozero_anatomy_low.safetensors

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