ModelPublicadoExterno

Intro To Diffusion

This model is a diffusion model for unconditional image generation of cute 🦋.

Fuentehuggingface.co/nhsak/intro_to_diffusion/tree/ef6cf7bfe3c8ddfa29668a66cdec0831116508f2

TipoOtherVersiónRevision ef6cf7b

Fuente del modelo

Tipo: Other
Tamaño del archivo: 70,7 MB
Versión: vRevision ef6cf7b
Actualizado: 26 sept 2026
Descargas: 10
Fuente: Hugging Face

Descripción de la fuente

Model Card for Unit 1 of the Diffusion Models Class 🧨

This model is a diffusion model for unconditional image generation of cute 🦋.

Usage

from diffusers import DDPMPipeline

pipeline = DDPMPipeline.from_pretrained('nhsak/intro_to_diffusion')
image = pipeline().images[0]
image

Fuentes

1 fuente

Hugging FacePrincipalVersión ef6cf7bfe3c8ddfa29668a66cdec0831116508f2

huggingface.co/nhsak/intro_to_diffusion/tree/ef6cf7bfe3c8ddfa29668a66cdec0831116508f2

Verificado 26 sept

Artefactos del modelo

1 artefacto

diffusion_pytorch_model.safetensors

safetensors · 70,7 MB · SHA-256 b5d3b5a64dae…184e · Hugging Face

Descargar

Extractos de fuentes

2 extractos

Readme26 septhuggingface.co/nhsak/intro_to_diffusion

--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) This model is a diffusion model for unconditional image generation of cute 🦋. ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('nhsak/intro_to_diffusion') image = pipeline().images[0] image ```