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Ddpm Celebahq Finetuned Butterflies 2epochs

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

Sourcehuggingface.co/Tzechung/ddpm-celebahq-finetuned-butterflies-2epochs/tree/17b5a2fa6b75429b86f98ac544923caa174a44c9
KindOtherVersionRevision 17b5a2f

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Kind
Other
File size
434 MB
Version
vRevision 17b5a2f
Updated
Sep 26, 2026
Downloads
9
Source
Hugging Face

Source description

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

Describe your model here

Usage

from diffusers import DDPMPipeline

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

Sources

1 source
Hugging FacePrimaryVersion 17b5a2fa6b75429b86f98ac544923caa174a44c9
huggingface.co/Tzechung/ddpm-celebahq-finetuned-butterflies-2epochs/tree/17b5a2fa6b75429b86f98ac544923caa174a44c9

Verified Sep 26

Model artifacts

1 artifact

diffusion_pytorch_model.safetensors

safetensors · 434 MB · SHA-256 ca1ac9e94d23…cbbe · Hugging Face

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Source excerpts

2 excerpts
ReadmeSep 26huggingface.co/Tzechung/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) Describe your model here ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('Tzechung/ddpm-celebahq-finetuned-butterflies-2epochs') image = pipeline().images[0] image ```

NoteSep 26huggingface.co/Tzechung/ddpm-celebahq-finetuned-butterflies-2epochs

Source context: 9 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo Tzechung/ddpm-celebahq-finetuned-butterflies-2epochs