metadata

base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
library_name: diffusers
license: creativeml-openrail-m
inference: true
tags:
  - stable-diffusion
  - stable-diffusion-diffusers
  - text-to-image
  - diffusers
  - diffusers-training
  - lora
datasets:
  - gigant/oldbookillustrations
pipeline_tag: text-to-image

LoRA text2image fine-tuning - Oedon42/oldpainter-lora

These are LoRA adaption weights for stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were fine-tuned on the gigant/oldbookillustrations dataset. You can find some example images in the following.

Intended uses & limitations

How to use

from diffusers import DiffusionPipeline

pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
pipe.load_lora_weights("Oedon42/oldpainter-lora")

prompt = "1800s, 19th century, antiquity, black & white, Croatia, Europe, ruins"
image = pipe(prompt).images[0]

Model Preview

Here are some preview results of the model:

Training details

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