Ddpm Celebahq Finetuned Vintage Faces 16epochs
pipeline = DDPMPipeline.frompretrained('codjjj/ddpm-celebahq-finetuned-Vintage-Faces-16epochs') image = pipeline().images[0] image
Source du modèle
- Type
- Other
- Taille du fichier
- 434 MB
- Version
- vRevision 43360d6
- Mis à jour
- 27 sept. 2026
- Téléchargements
- 6
- Source
- Hugging Face
Description de la source
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('codjjj/ddpm-celebahq-finetuned-Vintage-Faces-16epochs')
image = pipeline().images[0]
image
Sources
1 source
Sources
1 sourceVérifié 8 sept.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactdiffusion_pytorch_model.safetensors
safetensors · 434 MB · SHA-256 c8c6f4fbbfc8…e213 · Hugging Face
Download fileExtraits de sources
2 extraits
Extraits de sources
2 extraits--- 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('codjjj/ddpm-celebahq-finetuned-Vintage-Faces-16epochs') image = pipeline().images[0] image
Source context: 6 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo codjjj/ddpm-celebahq-finetuned-Vintage-Faces-16epochs
