README.md

---
license: creativeml-openrail-m
base_model: stabilityai/stable-diffusion-2-base
datasets:
- jytjyt05/t_to_m3
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
    
# Text-to-image finetuning - kerianheYi/CS245-fine-tunedSD150_708

This pipeline was finetuned from **stabilityai/stable-diffusion-2-base** on the **jytjyt05/t_to_m3** dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['C-Major, Piano, Solo, Ultra High Resolution']: 

![val_imgs_grid](./val_imgs_grid.png)


## Pipeline usage

You can use the pipeline like so:

```python
from diffusers import DiffusionPipeline
import torch

pipeline = DiffusionPipeline.from_pretrained("kerianheYi/CS245-fine-tunedSD150_708", torch_dtype=torch.float16)
prompt = "C-Major, Piano, Solo, Ultra High Resolution"
image = pipeline(prompt).images[0]
image.save("my_image.png")
```

## Training info

These are the key hyperparameters used during training:

* Epochs: 1
* Learning rate: 1e-05
* Batch size: 1
* Gradient accumulation steps: 4
* Image resolution: 512
* Mixed-precision: fp16