Ddpm Celebahq Finetuned Butterflies 2epochs
pipeline = DDPMPipeline.frompretrained('parsa98/ddpm-celebahq-finetuned-butterflies-2epochs') image = pipeline().images[0] image
Source du modèle
- Type
- Other
- Taille du fichier
- 434 MB
- Version
- vRevision 6d238b1
- Mis à jour
- 9 oct. 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('parsa98/ddpm-celebahq-finetuned-butterflies-2epochs')
image = pipeline().images[0]
image
Sources
1 source
Sources
1 sourceVérifié 9 oct.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactdiffusion_pytorch_model.safetensors
safetensors · 434 MB · SHA-256 c45d287036ed…d555 · Hugging Face
Download fileExtraits de sources
3 extraits
Extraits de sources
3 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('parsa98/ddpm-celebahq-finetuned-butterflies-2epochs') image = pipeline().images[0] image ```
Source context: 6 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo parsa98/ddpm-celebahq-finetuned-butterflies-2epochs
Source context: 13 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo parsa98/ddpm-celebahq-finetuned-butterflies-2epochs
