Ddpm Celebahq Finetuned Butterflies 4epochs
pipeline = DDPMPipeline.frompretrained('manav132/ddpm-celebahq-finetuned-butterflies-4epochs') image = pipeline().images[0] image
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 434 MB
- Versão
- vRevision 3644b75
- Atualizado
- 26 de set. de 2026
- Downloads
- 13
- Fonte
- Hugging Face
Descrição da fonte
Example Fine-Tuned Model for Unit 2 of the Diffusion Models Class 🧨
Finetuned to butterflies data
Usage
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('manav132/ddpm-celebahq-finetuned-butterflies-4epochs')
image = pipeline().images[0]
image
Fontes
1 fonte
Fontes
1 fonteVerificado 26 de set.
Artefatos de modelo
1 artefato
Artefatos de modelo
1 artefatodiffusion_pytorch_model.safetensors
safetensors · 434 MB · SHA-256 e276174bc7dc…279f · Hugging Face
BaixarTrechos de fonte
2 trechos
Trechos de fonte
2 trechos--- 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) Finetuned to butterflies data ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('manav132/ddpm-celebahq-finetuned-butterflies-4epochs') image = pipeline().images[0] image ```
Source context: 13 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo manav132/ddpm-celebahq-finetuned-butterflies-4epochs
