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    Embarrased face / 赤面(茹でダコ顔) - Type1(with red line) v2.0
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    (日本語説明は後半にあります)

    Reproduces a face strongly turned red with embarrassment.
    Three types are available:

    About file name: Yudedako(茹でダコ) is a Japanese word meaning "boiled octopus", and is a slung that refers to a blushing or embarrassed facial expression. Just like how a boiled octopus turns red when cooked, this idiom vividly captures the feeling of being bashful or ashamed.

    SDXL version is also available.

    Usage

    It works by simply enabling LoRA. Effect strength(redness) can be controlled by LoRA weight.

    If default weight (1.0) was too strong, change weight to approximately 0.5 to 0.8.

    "v2.0 with red line" sometimes reproduces unexpected red areas or red lines on background and clothes. Then, repaint only faces by img2img with this LoRA.

    Minus weight is not supported.

    Prompts embarrassed or shame will make better results.


    More various other SD1/SDXL LoRA's and checkpoints are available on my HuggingFace repository or CivitAI models list. Please check it out.

    CAUTION : Some sample images' prompt is using NegPiP extension for minus weight.


    俗に「茹でダコのような」などと呼ばれる、恥ずかしさで真っ赤になった顔を少しオーバー気味に表現できます。

    3種類を用意しました。

    各タイプをダウンロードするには、ページ上部のバージョンタブを切り替えてください。

    SDXL対応バージョンも公開しています。

    使い方

    LoRAを有効にするだけで動作しますが、embarrassedshameのプロンプトを組み合わせると効果が強まる場合があります。
    open mouth, wavy mouthと組み合わせると、より雰囲気の出た恥ずかし顔になるでしょう。

    通常タイプ(v2.0)は人物以外(背景や服装)にも赤色や赤線が出てしまう場合があります。その場合は全体出力にはLoRAを適用せず、後からimg2imgでLoRAを指定して顔だけを出し直すようにしてみてください。

    適用強度によって赤みの追加具合をコントロールできます。通常タイプのv2.0は1.0まで/v1.0は1.5くらいまで、赤線無しタイプは2.0くらいまでが実用範囲です。


    他にもさまざまなSD1/SDXL用LoRAおよびデータモデルを公開していますので、HuggingFaceリポジトリまたはCivitAIの配布モデルリストをご覧ください。

    掲載しているサンプル画像のプロンプトの一部では、NegPiP拡張機能を使ったマイナス強度指定を使用しています。

    Description

    FAQ

    Comments (20)

    HGODFeb 16, 2024
    CivitAI

    嗯,这个更自然了

    fansayFeb 16, 2024
    CivitAI

    Really very fine-tuning of lora, which does not affect the composition. Compatible with both characters and other emotes lora. Although it is intended for anime models, it is also noticeable on photorealistic models.

    Cauchy_not_SorrowFeb 16, 2024
    CivitAI

    The Lora you made is so awesome and practical.

    I have similar problem. Is there any tutorial for "Copy Machine LoRA"?

    Can you post links to some tutorials?

    Thanks, sincerely!

    JujoHotaru
    Author
    Feb 17, 2024

    @Cauchy_not_Sorrow Thank you for your interest. Copy machine LoRA tutorials are available in some Japanese sites. Please use DeepL or other translators.
    https://kurokumasoft.com/2023/05/29/lora-overtraining-technique/
    https://wikiwiki.jp/sd_toshiaki/%E3%82%B3%E3%83%94%E3%83%BC%E6%A9%9F%E5%AD%A6%E7%BF%92
    https://note.com/2vxpswa7/n/n2d04527bf0bc

    Cauchy_not_SorrowFeb 17, 2024

    @JujoHotaru Thanks, I read the three pages and I know the principle of Copy machine Lora.

    But I don't know how to generate a Lora like you about Face/Eyes/Expresion/.

    I can't get any information of you lora such as Prompt and Training Set……

    Can you share some training experience?

    JujoHotaru
    Author
    Feb 17, 2024

    @Cauchy_not_Sorrow I'm not using prompt training. Training source images are drawn by Adobe Illustrator by myself. Face only images (512x512) are used.

    Cauchy_not_SorrowFeb 17, 2024

    @JujoHotaru Surprising results, a single facial expression image material can achieve such amazing effects through Copy machine LORA?

    JujoHotaru
    Author
    Feb 17, 2024

    @Cauchy_not_Sorrow Yes, only 1 or few(2 to 5) images can reproduce these LoRAs. It is the potentiality of Copy-machine LoRA.

    Cauchy_not_SorrowFeb 17, 2024

    @JujoHotaru Therefore, training the expression lora is to train the training set with expressions through Copy Machine Lora without writing prompt words.

    Can we get the ideal Lora in this way? Are there any other steps?

    Cauchy_not_SorrowFeb 17, 2024

    @JujoHotaru I tested this very special expression @_@.

    If only one piece of material is used, this image can indeed be generated very well due to oversaturation.

    But when I lower the weight, I can't reproduce the expression very well. However, when I increase the weight, the prompt words do not control the other images.

    How to solve this Problem?

    JujoHotaru
    Author
    Feb 17, 2024

    @Cauchy_not_Sorrow I'm setting training images on folder named "100" (without class prompt), and Kohya's training script with --network_train_unet_only switch. Hope this helps.

    Cauchy_not_SorrowFeb 17, 2024

    @JujoHotaru I tested it and still couldn't get the desired results. For this Lora, can I see your training set and training parameters? What is the approximate LOSS value at the end of training?

    JujoHotaru
    Author
    Feb 17, 2024

    @Cauchy_not_Sorrow Please try with these parameters: dim=16,alpha=8,epochs=5,learningrate=0.001~0.003 (for kohya's "accelerate launch" script), But these values may vary by source images...

    Cauchy_not_SorrowFeb 18, 2024

    @JujoHotaru If I understand correctly, it should be handled like this:

    1. Train the original material to create an oversaturated Lora.

    2. Merge oversaturated Lora and large models.

    3. Make certain modifications to the original material and train on the merged large model until it is oversaturated.

    4. Subtract two Lora models?

    Finally, we get a experience lora, is this correct?

    JujoHotaru
    Author
    Feb 18, 2024

    @Cauchy_not_Sorrow Correct. I found these steps can be easily done with webui's new extension, TrainTrain. https://github.com/hako-mikan/sd-webui-traintrain?tab=readme-ov-file#difference

    Cauchy_not_SorrowFeb 18, 2024

    @JujoHotaru Currently I use one picture for training.

    First, I removed the eyes from the image and trained a supersaturated Lora.

    Then I merged it with the larger model.

    Finally, I used the merged large model to train the original image and obtained a supersaturated Lora.

    This has some effects, but the restoration effect is not ideal.

    Maybe there is something wrong? I'd love to have a look at your training set and learn from you!

    Cauchy_not_SorrowFeb 25, 2024

    @JujoHotaru This week, I tested it many times and felt the amazing effect of this training method.

    For example, changing the grayscale and saturation of an image is ideal.

    However, I don’t know why, but some goals cannot be achieved well.

    For example, I want to add a star to the eye, but I cannot get the desired effect through CopyMachine. The star is either blurry, or the star cannot be drawn at all.

    Here, I really want to learn how you process the material set. Can you send a few Lora training materials to my email? [email protected]

    Thank you so much!

    JujoHotaru
    Author
    Feb 26, 2024

    @Cauchy_not_Sorrow Sorry for late response. Currently source images are confidential, but not so special. I also tried star shaped pupil, but could not get good result.
    In addition to training method, LoRA block weight is also important. For example, try to limit applying block to OUT03-OUT05(-OUT07) only, for facial expressions or eye shapes.
    Further questions can be asked on the CivitAI Discord server, on there will be many LoRA specialists.

    MegazardApr 19, 2026
    CivitAI

    will there ever be an illustrious version?

    JujoHotaru
    Author
    Apr 28, 2026

    @Megazard Thank you for your interest. Currently, IL versions (and other newer versions) are mainly available on HuggingFace. https://huggingface.co/JujoHotaru/lora/blob/main/sdxl/yudedako/README.md

    LORA
    SD 1.5

    Details

    Downloads
    2,782
    Platform
    CivitAI
    Platform Status
    Available
    Created
    2/16/2024
    Updated
    6/27/2026
    Deleted
    -

    Available On (2 platforms)

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