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[Helper] Visual Novel Sprite Maker + Emotion Focus + Pose

#Visual novel

Caricato su: 10 dic 2025, 16:46
Utilizzi: 330
Recensioni: No reviews
Parole d'ordine: V1SU4L-N0V3L, <lora:32545e1e-30e7-41c0-a535-97f17bf4eae5:0.8> , [character description], [emotion/expression], centered, solo, character in the center, half-body, [background color]
Permessi: Allow image generation & sharing
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Descrizione

Original Link : https://civitai.com/models/2211903

This is VNSPMEFPH (Visual Novel Sprite Maker + Emotion Focus + Pose Helper)

This LoRA generates visual novel character sprites in half-body format with solid backgrounds.

I created this LoRA primarily to generate emotion pack for my Sillytavern cards, but it works very well for visual novels in general.

I know that many of you will recommend using the workflow provided for this purpose in Comfyui, but after trying to use it for months with my AMD graphics card, I realized that it was literally impossible. So I created this pack accordingly. Maybe it will only help a handful of people in my situation, but it's still worth a try.

Background recommendations:

Black backgrounds work best for knee-up shots
White backgrounds work best for chest-up shots (Black backgrounds are easier to remove with background removal tools) You can still request different background colors (green, red, etc.) depending on the character.

If you have the option to generate with a transparent background directly, that should work as well.

Prompt Format : V1SU4L-N0V3L, [character description], [emotion/expression], centered, solo, half-body, [background color]

Example : V1SU4L-N0V3L, long hair, red hair, blue eyes, 1girl, smiling, centered, solo, half-body, white background

Note: While all listed emotions and poses have been specifically trained, you can experiment with similar expressions.

After testing, almost all emotions/poses work, so you can use many more than those listed.

For multi-word emotions, if an emotion doesn't work, use underscores instead of spaces (e.g., crying_of_joy). That usually solves the problem.

Here's the (non-exhaustive) list:

Trained Emotions: