pipeline = DDPMPipeline.frompretrained('dohoney/ddpm-celebahq-finetuned-Vintage-Faces-4epochs') image = pipeline().images[0] image
Fuente del modelo
Descripción de la fuente
epoch=4; lr=1e-5; grad_accumulation_steps=2
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('dohoney/ddpm-celebahq-finetuned-Vintage-Faces-4epochs')
image = pipeline().images[0]
image
Fuentes
1 fuenteVerificado 24 ago
Artefactos del modelo
1 artefactodiffusion_pytorch_model.safetensors
safetensors · 434 MB · SHA-256 22eb71a8db06…8026 · Hugging Face
DescargarExtractos de fuentes
2 extractos--- 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) epoch=4; lr=1e-5; grad_accumulation_steps=2 ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('dohoney/ddpm-celebahq-finetuned-Vintage-Faces-4epochs') image = pipeline().images[0] image ```
Source context: 16 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo dohoney/ddpm-celebahq-finetuned-Vintage-Faces-4epochs