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KIMCAHLLIE/
shinkai-style-lora

Name: shinkai-style-lora
Availability: InStock

runwayml/stable-diffusion-v1-5

adapter

openrail

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Shinkai-style LoRA (Stable Diffusion 1.5)

This repository contains LoRA weights fine-tuned on top of Stable Diffusion 1.5 to reproduce background-oriented anime-style visuals inspired by Makoto Shinkai.

🔑 Trigger Token

Use the following trigger token in your prompt:

shinkai_makoto_style

📊 Dataset

Number of images: 25
Resolution: 512x512
Captioning: auto-generated captions + trigger token
Format: imagefolder + metadata.jsonl

Dataset is included in this repository:

dataset/

🧠 Training Details

Base model: runwayml/stable-diffusion-v1-5
Method: LoRA fine-tuning (Diffusers)
Training steps: 1500
Batch size: 1
Gradient accumulation: 4
Mixed precision: bf16
Environment: Google Colab (single GPU)
Checkpoint resume used due to Colab runtime limits

🖼️ Inference Example (Diffusers)

python

import torch
from diffusers import StableDiffusionPipeline

base_model = "runwayml/stable-diffusion-v1-5"
lora_repo = "KIMCHALLIE/shinkai-style-lora"

pipe = StableDiffusionPipeline.from_pretrained(
    base_model,
    torch_dtype=torch.float16,
    safety_checker=None
).to("cuda")

pipe.load_lora_weights(lora_repo)

prompt = (
    "shinkai_makoto_style, rainy city street at dusk, "
    "cinematic lighting, detailed background, anime illustration"
)

image = pipe(
    prompt=prompt,
    num_inference_steps=45,
    guidance_scale=6.5
).images[0]

image.save("result.png")

KIMCAHLLIE/shinkai-style-lora