Vous avez un workflow ComfyUI ? Obtenez une documentation lisible directement dans votre navigateur.Rendre un workflow lisible.Essayer maintenant ↗
pipeline = DDPMPipeline.frompretrained('bingwu871/ddpm-celebahq-finetuned-butterflies-2epochs') image = pipeline().images[0] image
Source du modèle
Description de la source
Describe your model here
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('bingwu871/ddpm-celebahq-finetuned-butterflies-2epochs')
image = pipeline().images[0]
image
Sources
1 sourceVérifié 24 août
Artefacts du modèle
1 artefactdiffusion_pytorch_model.safetensors
safetensors · 434 MB · SHA-256 e0cbd0c26d6a…de5b · Hugging Face
TéléchargerExtraits 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('bingwu871/ddpm-celebahq-finetuned-butterflies-2epochs') image = pipeline().images[0] image ```
Source context: 4 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo bingwu871/ddpm-celebahq-finetuned-butterflies-2epochs