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README.md

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+---
+license: openrail
+base_model: runwayml/stable-diffusion-v1-5
+tags:
+- stable-diffusion
+- lora
+- diffusers
+- image-generation
+- anime-style
+---
+
+# 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")