Ddpm Celebahq Finetuned Butterflies 4epochs Ng
Used a small butterfly dataset to finetune the ddpm-celebahq-256, originally trained on celebrity photos: As expected, the resulets are not great did not move further to finetune yet
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 434 MB
- Versión
- vRevision 1e30d2e
- Actualizado
- 1 nov 2026
- Descargas
- 11
- Fuente
- Hugging Face
Descripción de la fuente
Example Fine-Tuned Model for Unit 2 of the Diffusion Models Class 🧨
Used a small butterfly dataset to finetune the ddpm-celebahq-256, originally trained on celebrity photos: As expected, the resulets are not great did not move further to finetune yet
Usage
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('nikolpapad/ddpm-celebahq-finetuned-butterflies-4epochs-ng')
image = pipeline().images[0]
image
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1 fuenteVerificado 1 nov
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Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactodiffusion_pytorch_model.safetensors
safetensors · FP32 (unverified) · 434 MB · SHA-256 7a53a3a127f8…39ec · Hugging Face
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3 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) Used a small butterfly dataset to finetune the ddpm-celebahq-256, originally trained on celebrity photos: As expected, the resulets are not great did not move further to finetune yet ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('nikolpapad/ddpm-celebahq-finetuned-butterflies-4epochs-ng') image = pipeline().images[0] image
Source context: 11 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo nikolpapad/ddpm-celebahq-finetuned-butterflies-4epochs-ng
Source context: 9 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo nikolpapad/ddpm-celebahq-finetuned-butterflies-4epochs-ng
