ModelListadosExterno

Ddpm Butterfly Celebrity Abomination Model

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

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

TipoOtherVersãoRevision 5d06ac0Bnota

Fonte do modelo

Tipo: Other
Tamanho do arquivo: 434 MB
Versão: vRevision 5d06ac0
Atualizado: 27 de set. de 2026
Downloads: 17
Fonte: Hugging Face

Descrição da fonte

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

Fontes

1 fonte

Hugging FacePrimárioVersão 5d06ac04072fd12f75b97bfafe0a3973e3a3b15c

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

Verificado 8 de set.

Artefatos de modelo

1 artefato

diffusion_pytorch_model.safetensors

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

Download file

Trechos de fonte

2 trechos

Readme8 de set.huggingface.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

Note8 de set.huggingface.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