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---
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 🎨.<br>
Pretrained model : google/ddpm-church-256<br>
Dataset : huggan/wikiart<br>
## 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






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