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Ddpm Celebahq Finetuned Butterflies 2epochs

fine-tune ddpm with new dataset

Sourcehuggingface.co/duyhv1411/ddpm-celebahq-finetuned-butterflies-2epochs/tree/afdb5d6153c918520ee29364a1c98d59116bf817
KindOtherVersionRevision afdb5d6

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Kind
Other
File size
434 MB
Version
vRevision afdb5d6
Updated
Sep 14, 2026
Downloads
10
Source
Hugging Face

Source description

Example Fine-Tuned Model for Unit 2 of the Diffusion Models Class 🧨

fine-tune ddpm with new dataset

Usage

from diffusers import DDPMPipeline

pipeline = DDPMPipeline.from_pretrained('duyhv1411/ddpm-celebahq-finetuned-butterflies-2epochs')
image = pipeline().images[0]
image

Sources

1 source
Hugging FacePrimaryVersion afdb5d6153c918520ee29364a1c98d59116bf817
huggingface.co/duyhv1411/ddpm-celebahq-finetuned-butterflies-2epochs/tree/afdb5d6153c918520ee29364a1c98d59116bf817

Verified Sep 14

Model artifacts

1 artifact

diffusion_pytorch_model.safetensors

safetensors · 434 MB · SHA-256 3f4114c2e674…8ad3 · Hugging Face

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Source excerpts

2 excerpts
ReadmeSep 14huggingface.co/duyhv1411/ddpm-celebahq-finetuned-butterflies-2epochs

--- 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 ```

NoteSep 14huggingface.co/duyhv1411/ddpm-celebahq-finetuned-butterflies-2epochs

Source context: 10 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo duyhv1411/ddpm-celebahq-finetuned-butterflies-2epochs