ModelPublicadoExterno

Diffusion Test2

This model is a diffusion model for unconditional image generation of cute 🦋.

Fuentehuggingface.co/0bi0n3/Diffusion_test2/tree/17bdba3ef96c8869dcf6b93a8b86b03777f3fc09

TipoOtherVersiónRevision 17bdba3Ccalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 70,7 MB
Versión: vRevision 17bdba3
Actualizado: 27 sept 2026
Descargas: 8
Fuente: Hugging Face

Descripción de la fuente

Model Card for Unit 1 of the Diffusion Models Class 🧨

This model is a diffusion model for unconditional image generation of cute 🦋.

Usage

from diffusers import DDPMPipeline

pipeline = DDPMPipeline.from_pretrained('0bi0n3/Diffusion_test2')
image = pipeline().images[0]
image

Fuentes

1 fuente

Hugging FacePrincipalVersión 17bdba3ef96c8869dcf6b93a8b86b03777f3fc09

huggingface.co/0bi0n3/Diffusion_test2/tree/17bdba3ef96c8869dcf6b93a8b86b03777f3fc09

Verificado 31 ago

Artefactos del modelo

1 artefacto

diffusion_pytorch_model.safetensors

safetensors · 70,7 MB · SHA-256 5154be6aed35…208c · Hugging Face

Descargar

Extractos de fuentes

2 extractos

Readme31 agohuggingface.co/0bi0n3/Diffusion_test2

--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) This model is a diffusion model for unconditional image generation of cute 🦋. ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('0bi0n3/Diffusion_test2') image = pipeline().images[0] image ```

Note31 agohuggingface.co/0bi0n3/Diffusion_test2

Source context: 8 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo 0bi0n3/Diffusion_test2