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    Instagirl WAN 2.2 - v1.5
    NSFW
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    How to Use

    This is a style LoRA, designed to be the base layer of your LoRA stack. It creates the foundational aesthetic of realism, upon which you can add character or concept LoRAs.

    Note: The included ZIP archive contains both the high-noise and low-noise LoRA variants, along with our recommended ComfyUI workflows.

    • Trigger Word: Instacam

    • Recommended Strength: 1.0. Start here and adjust in small increments.

    I would also like to thank Danrisi, who originally taught us how to train LoRAs and helped make our work possible.

    Description

    Here's my second iteratoion of my Instagirl LoRA. I doubled the dataset, increased diversity, and tried to go fore a more "ameture" asthetic that WAN usually struggles with.

    This model was NOT trained on ANY NSFW, but if your really a gooner like that I can reccomend Flux Kontext (also maybe it would be good to fix text in images)

    Here is my ChatGPT system prompt I use, how it works is that I will find an image I want to replicate on pintrest/instagram and paste it into ChatGPT with this system prompt:

    Write one run-on paragraph (about 70 words) of concise, comma-separated phrases with no quotation marks that recreates every attached reference image for Flux.

    • Start with the subject and LoRA trigger exactly: Instagirl, petite body, then continue in this order: pose → camera angle → clothing & key accessories → environment/background → lighting → extra atmosphere.

    • Keep the phrasing natural but brief—think quick notes to a friend—each detail separated by commas rather than full sentences (e.g. new york city, gloomy day, beautiful girl, taking a selfie).

    • State that the photo is amateur cellphone quality and make sure to clearly state the hair color, type, and facial structure; if and only if it’s a mirror selfie, add shot with a silver iPhone (three cameras) held by the subject.

    • Ignore all tattoos, piercings, body mods, glasses, on-screen GUIs, or icons.

    • Avoid filler words and avoid synonyms for the LoRA triggers so their influence stays strong.

    • After the paragraph, on a new line, list exactly: visible sensor noise, artificial over-sharpening, heavy HDR glow, amateur photo, blown-out highlights, crushed shadows.

    If there are no subjects, ignore the subject part completely

    I have not tried this with any character LORAS yet, but constructive feedback is VERY welcome, my discord is 00quebec

    Workflow is based off of AI_Character's WAN 2.2 workflow: https://www.reddit.com/r/StableDiffusion/comments/1mcgyxp/wan22_new_fixed_txt2img_workflow_important_update/

    FAQ

    Comments (19)

    573410705748Jul 30, 2025
    CivitAI

    Can this also be used for text-to-image?

    MegaminxGGJul 30, 2025

    yes

    blobby99Jul 30, 2025

    t2i ***is*** t2v

    Instara
    Author
    Jul 30, 2025

    It was specifically made for text to image, not trained on any videos

    zz5Jul 31, 2025

    @00quebec The images are looking great! I am struggling using Wan for t2i, getting bad dithering patterns (e.g. 80s big hair perm, blond curly hair, dark background). How can i avoid these dithering patterns?

    zz5Jul 31, 2025

    ok, after some more tests I found out, that if you are using turbo loras it's important to set shift=1.0 and use euler not lcm

    playtime_aiJul 31, 2025· 1 reaction

    00quebec That doesn't matter unless you are trying to train a motion or action. This is a T2V lora.

    ProvenFlawlessAug 1, 2025

    playtime_ai WAN T2V Lora training question: So if I were to train on an /image dataset/ only (not videos) of someone, say a celeb, I would be able to use that /character/ lora trained on WAN and accurately have the person face when using T2I?

    Follow up question, would it be possible to produce a video trained on images in WAN? Especially this lora: Instagirls. Probably not so, eh? Not sure how it works still.

    playtime_aiAug 1, 2025· 1 reaction

    ProvenFlawless To answer your first question, yes. You can absolutely train a lora of a person or character on images only and use that lora to create picture of said person or character (but don't post loras or images of real people to Civitai. It isn't allowed.)

    To answer your second question, yes... you absolutely can use a lora trained on only images to create a video. You only need to train on video if you are trying to train a motion or an action... like a dance move or something like that. You can train many things... a person's likeness, an outfit, a body type... on just pictures.

    wagyutagJul 30, 2025· 1 reaction
    CivitAI

    Looks good! Danrisi is a legend, has helped me out a bunch too. Anyways I suspect you don't have diversity of ethnicities in your dataset?

    Instara
    Author
    Jul 30, 2025

    I am

    working on that for gen 2, first dataset only had a few different people.

    vgbxJul 31, 2025
    CivitAI

    How do you keep the character consistent ? Does this works with character loras ?

    573410705748Jul 31, 2025
    CivitAI

    Updated so quickly?,,

    Instara
    Author
    Aug 1, 2025

    New one releasing in a few hrs

    makiaeveliAug 1, 2025

    Can generally complete epochs in 4-8 hours depending on how big the dataset is, etc. Doesn't have to indicate anything

    bhassJul 31, 2025· 2 reactions
    CivitAI

    So this is mainly for T2i?

    Gamerman420Jul 31, 2025

    Yes he mentioned this in a reply to another user 5734... bunch of numbers

    Although someone mentioned t2v IS t2i, just a bunch of frames of it.

    bhassAug 1, 2025· 1 reaction

    Gamerman420 I asked this because you can train WAN off images or short clips. If they're short clips, it leans towards some specific motion (e.g BJ, sex lora, tittydrop etc)

    razzzJul 31, 2025
    CivitAI

    It's great thanks

    LORA
    Wan Video 14B t2v

    Details

    Downloads
    1,079
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    7/31/2025
    Updated
    8/13/2025
    Deleted
    8/9/2025

    Files

    Instagirlv2.safetensors

    Mirrors

    CivitAI (1 mirrors)
    TensorFiles (1 mirrors)