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
- Downloads last month
- 22
Inference API (serverless) does not yet support diffusers models for this pipeline type.