metadata
license: creativeml-openrail-m
base_model: kerianheyi/CS245-fine-tunedSD10600_11000_14122
datasets:
- jytjyt05/t_to_m7
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
Text-to-image finetuning - kerianheYi/CS245-fine-tunedSD11000_11400_14122
This pipeline was finetuned from kerianheyi/CS245-fine-tunedSD10600_11000_14122 on the jytjyt05/t_to_m7 dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['A melSpectrogram for piano solo in Major']:
Pipeline usage
You can use the pipeline like so:
from diffusers import DiffusionPipeline
import torch
pipeline = DiffusionPipeline.from_pretrained("kerianheYi/CS245-fine-tunedSD11000_11400_14122", torch_dtype=torch.float16)
prompt = "A melSpectrogram for piano solo in Major"
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