Instructions to use Melon-Bread/anima-pc98-gal-style-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Melon-Bread/anima-pc98-gal-style-v0.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("oron1208/OOO_Anima", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Melon-Bread/anima-pc98-gal-style-v0.1") prompt = "pc98gal_style, 1990s anime aesthetic, retro PC-98 game art, limited color palette, flat cel shading, thin linework, detailed retro eyes, dithering, muted colors, nostalgic atmosphere, beautiful detailed background, 1girl, silver hair, green eyes, ornate plate armor, standing in ancient ruins covered in ivy, dramatic stormy sky, holding glowing sword, full body, heroic pose" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/Anima_00373_.png
text: >-
pc98gal_style, 1990s anime aesthetic, retro PC-98 game art, limited color
palette, flat cel shading, thin linework, detailed retro eyes, dithering,
muted colors, nostalgic atmosphere, beautiful detailed background, 1girl,
silver hair, green eyes, ornate plate armor, standing in ancient ruins
covered in ivy, dramatic stormy sky, holding glowing sword, full body,
heroic pose
parameters:
negative_prompt: >-
3d, realistic, photorealistic, modern anime style, thick outlines,
gradient mesh shading, oversaturated, blurry, deformed, extra digits,
watermark, text, signature
base_model: oron1208/OOO_Anima
instance_prompt: pc98gal_style
license: mit
PC-98 Gal

- Prompt
- pc98gal_style, 1990s anime aesthetic, retro PC-98 game art, limited color palette, flat cel shading, thin linework, detailed retro eyes, dithering, muted colors, nostalgic atmosphere, beautiful detailed background, 1girl, silver hair, green eyes, ornate plate armor, standing in ancient ruins covered in ivy, dramatic stormy sky, holding glowing sword, full body, heroic pose
- Negative Prompt
- 3d, realistic, photorealistic, modern anime style, thick outlines, gradient mesh shading, oversaturated, blurry, deformed, extra digits, watermark, text, signature
Model description
PC-98 Galgame Style (Anima)
Trained words: `pc98gal_style`
Base model: Anima v1.0
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.