kerianheYi/CS245-fine-tunedSD5600_6200_14122

license: creativeml-openrail-m basemodel: kerianheyi/CS245-fine-tunedSD52005600_14122 datasets:

• —jytjyt05/ttom7 tags:
• —stable-diffusion
• —stable-diffusion-diffusers
• —text-to-image
• —diffusers inference: true ---

Text-to-image finetuning - kerianheYi/CS245-fine-tunedSD5600620014122

This pipeline was finetuned from kerianheyi/CS245-fine-tunedSD5200_5600_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']:

[image]

Pipeline usage

You can use the pipeline like so:

from diffusers import DiffusionPipeline
import torch

pipeline = DiffusionPipeline.from_pretrained("kerianheYi/CS245-fine-tunedSD5600_6200_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