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fine-tune ddpm with new dataset
Model source
Source description
fine-tune ddpm with new dataset
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('duyhv1411/ddpm-celebahq-finetuned-butterflies-2epochs')
image = pipeline().images[0]
image
Sources
1 sourceVerified Sep 14
Model artifacts
1 artifactdiffusion_pytorch_model.safetensors
safetensors · 434 MB · SHA-256 3f4114c2e674…8ad3 · 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) fine-tune ddpm with new dataset ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('duyhv1411/ddpm-celebahq-finetuned-butterflies-2epochs') image = pipeline().images[0] image ```
Source context: 10 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo duyhv1411/ddpm-celebahq-finetuned-butterflies-2epochs