tattoo-diffusion / README.md
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metadata
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
datasets:
  - Drozdik/tattoo_v3
tags:
  - stable-diffusion
  - stable-diffusion-diffusers
  - text-to-image
  - diffusers
inference: true

Text-to-image finetuning - TejasNavada/tattoo-diffusion

This pipeline was finetuned from runwayml/stable-diffusion-v1-5 on the Drozdik/tattoo_v3 dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['a dragon on a white background', ' a fiery skull', 'a skull', 'a face', 'a snake and skull']:

val_imgs_grid

Pipeline usage

You can use the pipeline like so:

from diffusers import DiffusionPipeline
import torch

pipeline = DiffusionPipeline.from_pretrained("TejasNavada/tattoo-diffusion", torch_dtype=torch.float16)
prompt = "a dragon on a white background"
image = pipeline(prompt).images[0]
image.save("my_image.png")

Training info

These are the key hyperparameters used during training:

  • Epochs: 100
  • Learning rate: 5e-06
  • Batch size: 2
  • Image resolution: 512
  • Mixed-precision: fp16