Ddpm Celebahq Finetuned Butterflies 2epochs
In this model, we load a pretained model : celebhq-256 and fine tuned on butterfly images with only 2 epochs.
Source du modèle
- Type
- Other
- Taille du fichier
- 434 MB
- Version
- vRevision 2e20493
- Mis à jour
- 1 nov. 2026
- Téléchargements
- 21
- Source
- Hugging Face
Description de la source
Example Fine-Tuned Model for Unit 2 of the Diffusion Models Class 🧨
In this model, we load a pretained model : celebhq-256 and fine tuned on butterfly images with only 2 epochs.
Usage
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('abcd2019/ddpm-celebahq-finetuned-butterflies-2epochs')
image = pipeline().images[0]
image
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Sources
1 sourceVérifié 1 nov.
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1 artefactdiffusion_pytorch_model.safetensors
safetensors · FP32 (unverified) · 434 MB · SHA-256 a6890f8db867…0dd0 · Hugging Face
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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) In this model, we load a pretained model : celebhq-256 and fine tuned on butterfly images with only 2 epochs. ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('abcd2019/ddpm-celebahq-finetuned-butterflies-2epochs') image = pipeline().images[0] image
Source context: 21 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo abcd2019/ddpm-celebahq-finetuned-butterflies-2epochs
Source context: 9 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo abcd2019/ddpm-celebahq-finetuned-butterflies-2epochs
