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for Unit 2 of the Diffusion Models Class 🧨
Source du modèle
Description de la source
for Unit 2 of the Diffusion Models Class 🧨
Finetuned model to generate anique images
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('Shashi1717/ddpm-celebahq-antique-proj1')
image = pipeline().images[0]
image
Sources
1 sourceVérifié 15 sept.
Artefacts du modèle
1 artefactdiffusion_pytorch_model.safetensors
safetensors · 434 MB · SHA-256 0a41c9943a29…cdee · Hugging Face
TéléchargerExtraits de sources
2 extraits--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- for Unit 2 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) Finetuned model to generate anique images ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('Shashi1717/ddpm-celebahq-antique-proj1') image = pipeline().images[0] image ```
Source context: 26 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo Shashi1717/ddpm-celebahq-antique-proj1