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Ddpm Celebahq Finetuned Vintage Faces 4epochs

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

KindOtherVersionRevision e020ea7Bgrade

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File size
434 MB
Version
vRevision e020ea7
Updated
Oct 10, 2026
Downloads
16
Source
Hugging Face

Source description

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

epoch=4; lr=1e-5; grad_accumulation_steps=2

Usage

from diffusers import DDPMPipeline

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

Sources

1 source
Hugging FacePrimaryVersion e020ea745c7b601105eb6a545d991d8a48af6603
huggingface.co/dohoney/ddpm-celebahq-finetuned-Vintage-Faces-4epochs/tree/e020ea745c7b601105eb6a545d991d8a48af6603

Verified Aug 24

Model artifacts

1 artifact

diffusion_pytorch_model.safetensors

safetensors · 434 MB · SHA-256 22eb71a8db06…8026 · Hugging Face

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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) epoch=4; lr=1e-5; grad_accumulation_steps=2 ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('dohoney/ddpm-celebahq-finetuned-Vintage-Faces-4epochs') image = pipeline().images[0] image ```

Source context: 16 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo dohoney/ddpm-celebahq-finetuned-Vintage-Faces-4epochs