ModelPublicadoExterno

Ddpm Celebahq Finetuned Vintage Face 2epochs

This model was fine-tuned for 2 epochs on the CelebAHQ dataset to generate vintage-style face images.

Fuentehuggingface.co/naifenn/ddpm-celebahq-finetuned-vintage-face-2epochs/tree/380d1902a27a1b1345a03a7457b93ce04d260743

TipoOtherModelo basegoogle/ddpm-celebahq-256VersiónRevision 380d190Bcalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 434 MB
Modelo base: google/ddpm-celebahq-256
Versión: vRevision 380d190
Actualizado: 31 oct 2026
Descargas: 0
Fuente: Hugging Face

Descripción de la fuente

ddpm-celebahq-finetuned-vintage-face-2epochs

This model was fine-tuned for 2 epochs on the CelebAHQ dataset to generate vintage-style face images.

Denoising Evolution (Step 0 to 50)

The image below shows the generation process from pure noise (left) to the final face (right), captured every 10 steps.

Denoising Evolution

Usage

from diffusers import DDPMPipeline

pipeline = DDPMPipeline.from_pretrained('naifenn/ddpm-celebahq-finetuned-vintage-face-2epochs')
image = pipeline(num_inference_steps=50).images[0]
image

Fuentes

1 fuente

Hugging FacePrincipalVersión 380d1902a27a1b1345a03a7457b93ce04d260743

huggingface.co/naifenn/ddpm-celebahq-finetuned-vintage-face-2epochs/tree/380d1902a27a1b1345a03a7457b93ce04d260743

Verificado 31 oct

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Repository files

File inventory only; completeness is unverified.

Artefactos del modelo

1 artefacto

unet/diffusion_pytorch_model.safetensors

safetensors · FP32 (unverified) · 434 MB · SHA-256 1708887c3e0f…9aa9 · Hugging Face

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Extractos de fuentes

3 extractos

Readme16 agohuggingface.co/naifenn/ddpm-celebahq-finetuned-vintage-face-2epochs

--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class base_model: google/ddpm-celebahq-256 --- # ddpm-celebahq-finetuned-vintage-face-2epochs This model was fine-tuned for 2 epochs on the CelebAHQ dataset to generate vintage-style face images. ## Denoising Evolution (Step 0 to 50) The image below shows the generation process from pure noise (left) to the final face (right), captured every 10 steps. ![Denoising Evolution](https://huggingface.co/naifenn/ddpm-celebahq-finetuned-vintage-face-2epochs/resolve/main/diffusion_evolution.png) ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('naifenn/ddpm-celebahq-finetuned-vintage-face-2epochs') image = pipeline(num_inference_steps=50).images[0] image

Note31 octhuggingface.co/naifenn/ddpm-celebahq-finetuned-vintage-face-2epochs

Source context: 0 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo naifenn/ddpm-celebahq-finetuned-vintage-face-2epochs

Note16 agohuggingface.co/naifenn/ddpm-celebahq-finetuned-vintage-face-2epochs

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