README.md

---
base_model: runwayml/stable-diffusion-v1-5
library_name: diffusers
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- diffusers-training
- lora
inference: true
---

<!-- This model card has been generated automatically according to the information the training script had access to. You
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# LoRA text2image fine-tuning - yashvoladoddi37/kanji-diffusion-v1-5
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the yashvoladoddi37/kanjienglish dataset. You can find some example images in the following. 

![img_0](./image_0.png)
![img_1](./image_1.png)
![img_2](./image_2.png)
![img_3](./image_3.png)

#### How to use

```python
from diffusers import StableDiffusionPipeline
import torch

model_path = "yashvoladoddi37/kanji-diffusion-v1-5"
pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16, use_safetensors = True).to("cuda")
pipe.unet.load_attn_procs(model_path)
pipe.to("cuda")

prompt = "a Kanji meaning YouTube"
image = pipe(prompt).images[0]
image.save("youtube-kanji-v1-4.png")
```