ModelPrésentéExterne

Intro To Diffusion

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

Sourcehuggingface.co/nhsak/intro_to_diffusion/tree/ef6cf7bfe3c8ddfa29668a66cdec0831116508f2

TypeOtherVersionRevision ef6cf7b

Source du modèle

Type: Other
Taille du fichier: 70,7 MB
Version: vRevision ef6cf7b
Mis à jour: 26 sept. 2026
Téléchargements: 10
Source: Hugging Face

Description de la source

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

Sources

1 source

Hugging FacePrincipalVersion ef6cf7bfe3c8ddfa29668a66cdec0831116508f2

huggingface.co/nhsak/intro_to_diffusion/tree/ef6cf7bfe3c8ddfa29668a66cdec0831116508f2

Vérifié 26 sept.

Artefacts du modèle

1 artefact

diffusion_pytorch_model.safetensors

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

Télécharger

Extraits de sources

2 extraits

Readme26 sept.huggingface.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 ```