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DDPM Jakob Diffuser

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

KindOtherVersionRevision 1b50d28Bgrade

Model source

Kind
Other
File size
434 MB
Version
vRevision 1b50d28
Updated
Sep 28, 2026
Downloads
14
Source
Hugging Face

Source description

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

Sources

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

Verified Aug 31

Model artifacts

1 artifact

diffusion_pytorch_model.safetensors

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

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Source excerpts

2 excerpts

--- 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 ```

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