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:

Preview 1
Preview 2
Preview 3
Preview 4

Training details

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

Downloads last month
17
Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.

Model tree for Oedon42/oldpainter-lora

Adapter
(173)
this model

Dataset used to train Oedon42/oldpainter-lora