This model is a diffusion model for unconditional image generation of churches ⛪️ finetuned on wikiart 🎨.

Pretrained model : google/ddpm-church-256
Dataset : huggan/wikiart

Usage

from diffusers import DDPMPipeline

model_id = 'CCMat/ddpm-church-finetune-wikiart'

# load model and scheduler
pipeline = DDPMPipeline.from_pretrained(model_id)

# run pipeline in inference (sample random noise and denoise)
image = pipeline().images[0]

# save image
image.save("ddpm_church_wikiart.png")

Samples

example images example images example images example images example images example images

Downloads last month
19
Inference API
Inference API (serverless) does not yet support diffusers models for this pipeline type.