ModelListadosExterno

Intro To Diffusion

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

Fontehuggingface.co/nhsak/intro_to_diffusion/tree/ef6cf7bfe3c8ddfa29668a66cdec0831116508f2

TipoOtherVersãoRevision ef6cf7b

Fonte do modelo

Tipo: Other
Tamanho do arquivo: 70,7 MB
Versão: vRevision ef6cf7b
Atualizado: 26 de set. de 2026
Downloads: 10
Fonte: Hugging Face

Descrição da fonte

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

Fontes

1 fonte

Hugging FacePrimárioVersão ef6cf7bfe3c8ddfa29668a66cdec0831116508f2

huggingface.co/nhsak/intro_to_diffusion/tree/ef6cf7bfe3c8ddfa29668a66cdec0831116508f2

Verificado 26 de set.

Artefatos de modelo

1 artefato

diffusion_pytorch_model.safetensors

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

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Trechos de fonte

2 trechos

Readme26 de set.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 ```