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Ddpm Celebahq Finetuned Jellyfish 2epochs

Combination of people and jellufish. Genarate some kind of aquarelle people faces

KindOtherVersionRevision 0ad63bc

Model source

Kind
Other
File size
434 MB
Version
vRevision 0ad63bc
Updated
Sep 14, 2026
Downloads
14
Source
Hugging Face

Source description

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

Combination of people and jellufish. Genarate some kind of aquarelle people faces

Usage

from diffusers import DDPMPipeline

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

Sources

1 source
Hugging FacePrimaryVersion 0ad63bcd4edc3799b51608e15c8e5e97ba1c4431
huggingface.co/dzhov/ddpm-celebahq-finetuned-jellyfish-2epochs/tree/0ad63bcd4edc3799b51608e15c8e5e97ba1c4431

Verified Sep 14

Model artifacts

2 artifacts

diffusion_pytorch_model.bin

bin · 434 MB · SHA-256 e4e2160430ff…37b5 · Hugging Face

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diffusion_pytorch_model.safetensors

safetensors · 434 MB · SHA-256 4878acfe33ff…5ebb · 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) Combination of people and jellufish. Genarate some kind of aquarelle people faces ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('dzhov/ddpm-celebahq-finetuned-jellyfish-2epochs') image = pipeline().images[0] image ```

Source context: 14 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo dzhov/ddpm-celebahq-finetuned-jellyfish-2epochs