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Ddpm Celebahq Finetuned Butterflies 4epochs Ng

Used a small butterfly dataset to finetune the ddpm-celebahq-256, originally trained on celebrity photos: As expected, the resulets are not great did not move further to finetune yet

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File size
434 MB
Version
vRevision 1e30d2e
Updated
Nov 1, 2026
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11
Source
Hugging Face

Source description

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

Used a small butterfly dataset to finetune the ddpm-celebahq-256, originally trained on celebrity photos: As expected, the resulets are not great did not move further to finetune yet

Usage

from diffusers import DDPMPipeline

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

Sources

1 source
Hugging FacePrimaryVersion 1e30d2e60586d2fe5c720ea6151c7380c9235de6
huggingface.co/nikolpapad/ddpm-celebahq-finetuned-butterflies-4epochs-ng/tree/1e30d2e60586d2fe5c720ea6151c7380c9235de6

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diffusion_pytorch_model.safetensors

safetensors · FP32 (unverified) · 434 MB · SHA-256 7a53a3a127f8…39ec · Hugging Face

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--- 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) Used a small butterfly dataset to finetune the ddpm-celebahq-256, originally trained on celebrity photos: As expected, the resulets are not great did not move further to finetune yet ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('nikolpapad/ddpm-celebahq-finetuned-butterflies-4epochs-ng') image = pipeline().images[0] image

Source context: 11 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo nikolpapad/ddpm-celebahq-finetuned-butterflies-4epochs-ng

Source context: 9 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo nikolpapad/ddpm-celebahq-finetuned-butterflies-4epochs-ng