This pipeline was finetuned from kerianheyi/CS245-fine-tunedSD1300_1600_14122 on the jytjyt05/t_to_m6 dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['A melSpectrogram for a C-Major piano solo']:

Pipeline usage

You can use the pipeline like so:

python

from diffusers import DiffusionPipeline
import torch

pipeline = DiffusionPipeline.from_pretrained("kerianheYi/CS245-fine-tunedSD1600_2000_14122", torch_dtype=torch.float16)
prompt = "A melSpectrogram for a C-Major piano solo"
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