metadata

license: creativeml-openrail-m
base_model: stabilityai/stable-diffusion-2-1
datasets:
  - GabrielGaleana34/Products
tags:
  - stable-diffusion
  - stable-diffusion-diffusers
  - text-to-image
  - diffusers
inference: true

Text-to-image finetuning - GabrielGaleana34/sd-model-finetuned

This pipeline was finetuned from stabilityai/stable-diffusion-2-1 on the GabrielGaleana34/Products dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['[A Coca-cola soda in a plastic bottle]']:

Pipeline usage

You can use the pipeline like so:

from diffusers import DiffusionPipeline
import torch

pipeline = DiffusionPipeline.from_pretrained("GabrielGaleana34/sd-model-finetuned", torch_dtype=torch.float16)
prompt = "A Coca-cola soda in a plastic bottle"
image = pipeline(prompt).images[0]
image.save("my_image.png")

Training info

These are the key hyperparameters used during training:

Epochs: 89
Learning rate: 1e-06
Batch size: 1
Gradient accumulation steps: 4
Image resolution: 1024
Mixed-precision: fp16