DonGenialo/tti_sd_pixel_images_587_default_last-checkpoint

Text-to-image finetuning - DonGenialo/pixel_images_587_default_last-checkpoint

This pipeline was finetuned from runwayml/stable-diffusion-v1-5 on the DonGenialo/pixel_images_587 dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['a pixel art of a fox']:

Pipeline usage

You can use the pipeline like so:

from diffusers import DiffusionPipeline
import torch

pipeline = DiffusionPipeline.from_pretrained("DonGenialo/pixel_images_587_default_last-checkpoint", torch_dtype=torch.float16)
prompt = "a pixel art of a fox"
image = pipeline(prompt).images[0]
image.save("my_image.png")

Training info

These are the key hyperparameters used during training:

• Epochs: 5
• Learning rate: 0.0001
• Batch size: 2
• Gradient accumulation steps: 1
• Image resolution: 512
• Mixed-precision: fp16

More information on all the CLI arguments and the environment are available on your wandb run page.

Intended uses & limitations

How to use

# TODO: add an example code snippet for running this diffusion pipeline

Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

Training details

[TODO: describe the data used to train the model]