anima-pc98-gal-style-v0.1

PC-98 Gal

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Model description

PC-98 Galgame Style (Anima)

Trained words: `pc98gal_style`

Base model: Anima v1.0

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Description

A LoRA trained to reproduce the aesthetic of NEC PC-98 galgame artwork from the early-to-mid 1990s. Captures the signature look of era-defining eroge/visual novel studios — flat cel shading, thin linework, muted limited color palettes, detailed retro anime eyes, and atmospheric painted backgrounds.

Dataset consists of 35 images sourced from 14 authentic PC-98 titles including Words Worth, Nocturnal Illusion, Doukyusei 2, Yuno, Viper GTS, and others, covering a range of character designs and settings.

Recommended Settings

• LoRA strength: 0.7–1.0
• Steps: 25–30
• CFG: 4.0–5.0
• Sampler: euler, scheduler: simple
• Resolution: 832×1216 (portrait), 1216×832 (landscape)

Usage

Place `pc98gal_style` at the start of your prompt, followed by your subject description.

Usage

Place pc98gal_style at the start of your prompt, followed by your subject description. Here are some other recommended prompts to add

Positive prompt:

```

pc98gal_style, 1990s anime aesthetic,, limited color palette, flat cel shading, thin linework, detailed retro eyes, dithering, muted colors,

```

Negative prompt:

```

3d, realistic, photorealistic, modern anime style, thick outlines, gradient mesh shading, oversaturated, blurry, deformed, extra digits, watermark, text, signature

```

Notes/Ramblings

This is my very first time every making a lora or really doing any kind of training so expect noobie mistakes. I do not think I am done with this as I want to work on it some more to get better results. Though figured I should share my early results now to keep me motivated to keep going.

Network Specs

• LoRA rank/dim: 32, alpha: 32
• Trained on both DiT and text encoder
• 10 epochs / 1050 steps / final loss 0.128
• Training time: ~55 min on Radeon 8060S (gfx1151)

Trigger words

You should use pc98gal_style to trigger the image generation.

Download model

Download them in the Files & versions tab.