Ddpm Celebahq Finetuned Colage 2epochs
pipeline = DDPMPipeline.frompretrained('Dumoura/ddpm-celebahq-finetuned-colage-2epochs') image = pipeline().images[0] image
Model source
- Kind
- Other
- File size
- 434 MB
- Version
- vRevision 5534f04
- Updated
- Sep 26, 2026
- Downloads
- 94
- Source
- Hugging Face
Source description
Example Fine-Tuned Model for Unit 2 of the Diffusion Models Class 🧨
iamkaikai/PHOTO-ILLUSTRATION-ART dataset
Usage
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('Dumoura/ddpm-celebahq-finetuned-colage-2epochs')
image = pipeline().images[0]
image
Sources
1 source
Sources
1 sourceVerified Sep 26
Model artifacts
1 artifact
Model artifacts
1 artifactdiffusion_pytorch_model.safetensors
safetensors · 434 MB · SHA-256 f5d91c3d8161…a9bd · Hugging Face
DownloadSource excerpts
2 excerpts
Source 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
