--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- 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 ```python 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](images/ddpm_church_wikiart_hf_0.png) ![example images](images/ddpm_church_wikiart_hf_3.png) ![example images](images/ddpm_church_wikiart_hf_7.png) ![example images](images/ddpm_church_wikiart_hf_8.png) ![example images](images/ddpm_church_wikiart_hf_9.png) ![example images](images/ddpm_church_wikiart_hf_10.png)