from diffusers import StableDiffusionPipeline
import torch

model_path = "foldl/sd-rumeme-desc"
pipe = StableDiffusionPipeline.from_pretrained(model_path, torch_dtype=torch.float16)
pipe.to("cuda")

image = pipe(prompt="кот").images[0]
image.save("cat".jpg)

Training

Training Procedure

Model was trained on 1 P100 GPU for 10k steps.

Base model - https://huggingface.co/OFA-Sys/small-stable-diffusion-v0

Training notebook here - https://www.kaggle.com/code/nukeee/meme-diffusion

Training Data

https://huggingface.co/datasets/foldl/rumeme-desc
Same dataset at Kaggle