ModelPublicadoExterno

Ddpm Celebahq Finetuned Butterflies

pipeline = DDPMPipeline.frompretrained('lipinp/ddpm-celebahq-finetuned-butterflies') image = pipeline().images[0] image

Fuentehuggingface.co/lipinp/ddpm-celebahq-finetuned-butterflies/tree/8ee592f1fbb5e8eb2052342090421097e42a19e3

TipoOtherVersiónRevision 8ee592fCcalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 434 MB
Versión: vRevision 8ee592f
Actualizado: 28 sept 2026
Descargas: 5
Fuente: Hugging Face

Descripción de la fuente

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

Describe your model here

Usage

from diffusers import DDPMPipeline

pipeline = DDPMPipeline.from_pretrained('lipinp/ddpm-celebahq-finetuned-butterflies')
image = pipeline().images[0]
image

Fuentes

1 fuente

Hugging FacePrincipalVersión 8ee592f1fbb5e8eb2052342090421097e42a19e3

huggingface.co/lipinp/ddpm-celebahq-finetuned-butterflies/tree/8ee592f1fbb5e8eb2052342090421097e42a19e3

Verificado 31 ago

Artefactos del modelo

1 artefacto

diffusion_pytorch_model.safetensors

safetensors · 434 MB · SHA-256 380619d24595…66dd · Hugging Face

Download file

Extractos de fuentes

2 extractos

Readme31 agohuggingface.co/lipinp/ddpm-celebahq-finetuned-butterflies

--- 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) Describe your model here ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('lipinp/ddpm-celebahq-finetuned-butterflies') image = pipeline().images[0] image

Note31 agohuggingface.co/lipinp/ddpm-celebahq-finetuned-butterflies

Source context: 5 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo lipinp/ddpm-celebahq-finetuned-butterflies