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CCMat
/
ddpm-church-finetune-wikiart-256

Unconditional Image Generation
Diffusers
PyTorch
DDPMPipeline
diffusion-models-class
Model card Files Community

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

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Unconditional Image Generation
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The HF Inference API does not support unconditional-image-generation models for diffusers library.