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Ddpm Celebahq Finetuned Butterflies 4epochs

pipeline = DDPMPipeline.frompretrained('manav132/ddpm-celebahq-finetuned-butterflies-4epochs') image = pipeline().images[0] image

Sourcehuggingface.co/manav132/ddpm-celebahq-finetuned-butterflies-4epochs/tree/3644b75b71118fca98f46939e49ea87d412551b4
KindOtherVersionRevision 3644b75

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Other
File size
434 MB
Version
vRevision 3644b75
Updated
Sep 26, 2026
Downloads
13
Source
Hugging Face

Source description

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

Finetuned to butterflies data

Usage

from diffusers import DDPMPipeline

pipeline = DDPMPipeline.from_pretrained('manav132/ddpm-celebahq-finetuned-butterflies-4epochs')
image = pipeline().images[0]
image

Sources

1 source
Hugging FacePrimaryVersion 3644b75b71118fca98f46939e49ea87d412551b4
huggingface.co/manav132/ddpm-celebahq-finetuned-butterflies-4epochs/tree/3644b75b71118fca98f46939e49ea87d412551b4

Verified Sep 26

Model artifacts

1 artifact

diffusion_pytorch_model.safetensors

safetensors · 434 MB · SHA-256 e276174bc7dc…279f · Hugging Face

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Source excerpts

2 excerpts
ReadmeSep 26huggingface.co/manav132/ddpm-celebahq-finetuned-butterflies-4epochs

--- 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) Finetuned to butterflies data ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('manav132/ddpm-celebahq-finetuned-butterflies-4epochs') image = pipeline().images[0] image ```

NoteSep 26huggingface.co/manav132/ddpm-celebahq-finetuned-butterflies-4epochs

Source context: 13 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo manav132/ddpm-celebahq-finetuned-butterflies-4epochs