ModelListadosExterno

DDPM Jakob Diffuser

pipeline = DDPMPipeline.frompretrained('maciejw94/DDPM-jakob-diffuser') image = pipeline().images[0] image

Fontehuggingface.co/maciejw94/DDPM-jakob-diffuser/tree/1b50d283dcccf92e4ff33c98de450ee6ef0b38ca

TipoOtherVersãoRevision 1b50d28Bnota

Fonte do modelo

Tipo: Other
Tamanho do arquivo: 434 MB
Versão: vRevision 1b50d28
Atualizado: 28 de set. de 2026
Downloads: 14
Fonte: Hugging Face

Descrição da fonte

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

MAking Jakob

Usage

from diffusers import DDPMPipeline

pipeline = DDPMPipeline.from_pretrained('maciejw94/DDPM-jakob-diffuser')
image = pipeline().images[0]
image

Fontes

1 fonte

Hugging FacePrimárioVersão 1b50d283dcccf92e4ff33c98de450ee6ef0b38ca

huggingface.co/maciejw94/DDPM-jakob-diffuser/tree/1b50d283dcccf92e4ff33c98de450ee6ef0b38ca

Verificado 31 de ago.

Artefatos de modelo

1 artefato

diffusion_pytorch_model.safetensors

safetensors · 434 MB · SHA-256 c79f75ea98d9…a706 · Hugging Face

Baixar

Trechos de fonte

2 trechos

Readme31 de ago.huggingface.co/maciejw94/DDPM-jakob-diffuser

--- 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) MAking Jakob ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('maciejw94/DDPM-jakob-diffuser') image = pipeline().images[0] image ```

Note31 de ago.huggingface.co/maciejw94/DDPM-jakob-diffuser

Source context: 14 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo maciejw94/DDPM-jakob-diffuser