(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:
To download all types, switch version tabs ↑ above.
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、embarrassedやshame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)
嗯,这个更自然了
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.
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!
@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
@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?
@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.
@JujoHotaru Surprising results, a single facial expression image material can achieve such amazing effects through Copy machine LORA?
@Cauchy_not_Sorrow Yes, only 1 or few(2 to 5) images can reproduce these LoRAs. It is the potentiality of Copy-machine LoRA.
@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?
@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?
@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.
@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?
@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...
@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?
@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
@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!
@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!
@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.
will there ever be an illustrious version?
@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
Details
Files
Available On (2 platforms)
Same model published on other platforms. May have additional downloads or version variants.










