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Ddpm Celebahq Finetuned Butterflies 2epochs

pipeline = DDPMPipeline.frompretrained('m47in/ddpm-celebahq-finetuned-butterflies-2epochs') image = pipeline().images[0] image

TipoOtherVersiónRevision d1a401dUnratedcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
434 MB
Versión
vRevision d1a401d
Actualizado
4 nov 2026
Descargas
8
Fuente
Hugging Face

Descripción de la fuente

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('m47in/ddpm-celebahq-finetuned-butterflies-2epochs')
image = pipeline().images[0]
image

Fuentes

1 fuente
Hugging FacePrincipalVersión d1a401dd730608679d4d48e6bbbbf6f66429e5aa
huggingface.co/m47in/ddpm-celebahq-finetuned-butterflies-2epochs/tree/d1a401dd730608679d4d48e6bbbbf6f66429e5aa

Verificado 4 nov

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Artefactos del modelo

1 artefacto

diffusion_pytorch_model.safetensors

safetensors · FP32 (unverified) · 434 MB · SHA-256 67e916f2cfe2…390b · Hugging Face

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Extractos de fuentes

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--- 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('m47in/ddpm-celebahq-finetuned-butterflies-2epochs') image = pipeline().images[0] image ```

Source context: 8 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo m47in/ddpm-celebahq-finetuned-butterflies-2epochs

Source context: 4 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo m47in/ddpm-celebahq-finetuned-butterflies-2epochs