ModelPublicadoExterno

Ddpm Butterfly Celebrity Abomination Model

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

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

TipoOtherVersiónRevision 5d06ac0Bcalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 434 MB
Versión: vRevision 5d06ac0
Actualizado: 27 sept 2026
Descargas: 17
Fuente: Hugging Face

Descripción de la fuente

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

Fuentes

1 fuente

Hugging FacePrincipalVersión 5d06ac04072fd12f75b97bfafe0a3973e3a3b15c

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

Verificado 8 sept

Artefactos del modelo

1 artefacto

diffusion_pytorch_model.safetensors

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

Download file

Extractos de fuentes

2 extractos

Readme8 septhuggingface.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 septhuggingface.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