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pipeline = DDPMPipeline.frompretrained('Dumoura/ddpm-celebahq-finetuned-colage-2epochs') image = pipeline().images[0] image
Model source
Source description
iamkaikai/PHOTO-ILLUSTRATION-ART dataset
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('Dumoura/ddpm-celebahq-finetuned-colage-2epochs')
image = pipeline().images[0]
image
Sources
1 sourceVerified Sep 26
Model artifacts
1 artifactdiffusion_pytorch_model.safetensors
safetensors · 434 MB · SHA-256 f5d91c3d8161…a9bd · Hugging Face
DownloadSource excerpts
2 excerpts--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Example Fine-Tuned Model for Unit 2 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) iamkaikai/PHOTO-ILLUSTRATION-ART dataset ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('Dumoura/ddpm-celebahq-finetuned-colage-2epochs') image = pipeline().images[0] image ```
Source context: 94 downloads · 1 likes · Pipeline unconditional-image-generation · Library diffusers · Repo Dumoura/ddpm-celebahq-finetuned-colage-2epochs