ModelPublicadoExterno

Sunbird Stable Difussion Photos

pipeline = DDPMPipeline.frompretrained('yigagilbert/sunbird-stable-difussion-photos') image = pipeline().images[0] image

Fuentehuggingface.co/yigagilbert/sunbird-stable-difussion-photos/tree/c210dd2ff2e06fbdc507beda9d09828b926d4c66

TipoOtherVersiónRevision c210dd2Ccalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 434 MB
Versión: vRevision c210dd2
Actualizado: 27 sept 2026
Descargas: 8
Fuente: Hugging Face

Descripción de la fuente

Example Fine-Tuned Model for Unit 2 of the Diffusion Models Class 🧨

Describe your model here

Usage

from diffusers import DDPMPipeline

pipeline = DDPMPipeline.from_pretrained('yigagilbert/sunbird-stable-difussion-photos')
image = pipeline().images[0]
image

Fuentes

1 fuente

Hugging FacePrincipalVersión c210dd2ff2e06fbdc507beda9d09828b926d4c66

huggingface.co/yigagilbert/sunbird-stable-difussion-photos/tree/c210dd2ff2e06fbdc507beda9d09828b926d4c66

Verificado 8 sept

Artefactos del modelo

1 artefacto

diffusion_pytorch_model.safetensors

safetensors · 434 MB · SHA-256 21ef58eacf20…2467 · Hugging Face

Download file

Extractos de fuentes

2 extractos

Readme8 septhuggingface.co/yigagilbert/sunbird-stable-difussion-photos

--- 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('yigagilbert/sunbird-stable-difussion-photos') image = pipeline().images[0] image ```

Note8 septhuggingface.co/yigagilbert/sunbird-stable-difussion-photos

Source context: 8 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo yigagilbert/sunbird-stable-difussion-photos