ModelListedExternal

Ddpm Butterfly Celebrity Abomination Model

pipeline = DDPMPipeline.frompretrained('teohyc/ddpm-butterfly-celebrity-abomination-model') image = pipeline().images[0] image

Sourcehuggingface.co/teohyc/ddpm-butterfly-celebrity-abomination-model/tree/5d06ac04072fd12f75b97bfafe0a3973e3a3b15c

KindOtherVersionRevision 5d06ac0Bgrade

Model source

Kind: Other
File size: 434 MB
Version: vRevision 5d06ac0
Updated: Sep 27, 2026
Downloads: 17
Source: Hugging Face

Source description

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

testing fintune

Usage

from diffusers import DDPMPipeline

pipeline = DDPMPipeline.from_pretrained('teohyc/ddpm-butterfly-celebrity-abomination-model')
image = pipeline().images[0]
image

Sources

1 source

Hugging FacePrimaryVersion 5d06ac04072fd12f75b97bfafe0a3973e3a3b15c

huggingface.co/teohyc/ddpm-butterfly-celebrity-abomination-model/tree/5d06ac04072fd12f75b97bfafe0a3973e3a3b15c

Verified Sep 8

Model artifacts

1 artifact

diffusion_pytorch_model.safetensors

safetensors · 434 MB · SHA-256 18c7451337c7…35a5 · Hugging Face

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Source excerpts

2 excerpts

ReadmeSep 8huggingface.co/teohyc/ddpm-butterfly-celebrity-abomination-model

--- 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) testing fintune ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('teohyc/ddpm-butterfly-celebrity-abomination-model') image = pipeline().images[0] image

NoteSep 8huggingface.co/teohyc/ddpm-butterfly-celebrity-abomination-model

Source context: 17 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo teohyc/ddpm-butterfly-celebrity-abomination-model