ModelAufgelistetExtern

Ddpm Celebahq Finetuned Butterflies

pipeline = DDPMPipeline.frompretrained('lipinp/ddpm-celebahq-finetuned-butterflies') image = pipeline().images[0] image

Quellehuggingface.co/lipinp/ddpm-celebahq-finetuned-butterflies/tree/8ee592f1fbb5e8eb2052342090421097e42a19e3

ArtOtherVersionRevision 8ee592fCBewertung

Modellquelle

Art: Other
Dateigröße: 434 MB
Version: vRevision 8ee592f
Aktualisiert: 28. Sept. 2026
Downloads: 5
Quelle: Hugging Face

Quellenbeschreibung

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

Describe your model here

Usage

from diffusers import DDPMPipeline

pipeline = DDPMPipeline.from_pretrained('lipinp/ddpm-celebahq-finetuned-butterflies')
image = pipeline().images[0]
image

Quellen

1 Quelle

Hugging FacePrimärVersion 8ee592f1fbb5e8eb2052342090421097e42a19e3

huggingface.co/lipinp/ddpm-celebahq-finetuned-butterflies/tree/8ee592f1fbb5e8eb2052342090421097e42a19e3

Verifiziert 31. Aug.

Modellartefakte

1 Artefakt

diffusion_pytorch_model.safetensors

safetensors · 434 MB · SHA-256 380619d24595…66dd · Hugging Face

Download file

Quellenauszüge

2 Auszüge

Readme31. Aug.huggingface.co/lipinp/ddpm-celebahq-finetuned-butterflies

--- 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) Describe your model here ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('lipinp/ddpm-celebahq-finetuned-butterflies') image = pipeline().images[0] image

Note31. Aug.huggingface.co/lipinp/ddpm-celebahq-finetuned-butterflies

Source context: 5 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo lipinp/ddpm-celebahq-finetuned-butterflies