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--- |
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license: mit |
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tags: |
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- pytorch |
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- diffusers |
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- unconditional-image-generation |
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- diffusion-models-class |
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--- |
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This model is a diffusion model for unconditional image generation of churches ⛪️ finetuned on wikiart 🎨.<br> |
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Pretrained model : google/ddpm-church-256<br> |
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Dataset : huggan/wikiart<br> |
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## Usage |
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```python |
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from diffusers import DDPMPipeline |
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model_id = 'CCMat/ddpm-church-finetune-wikiart' |
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# load model and scheduler |
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pipeline = DDPMPipeline.from_pretrained(model_id) |
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# run pipeline in inference (sample random noise and denoise) |
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image = pipeline().images[0] |
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# save image |
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image.save("ddpm_church_wikiart.png") |
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``` |
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## Samples |
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