ModelPrésentéExterne

Sunbird Stable Difussion Photos

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

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

TypeOtherVersionRevision c210dd2CClasse

Source du modèle

Type: Other
Taille du fichier: 434 MB
Version: vRevision c210dd2
Mis à jour: 27 sept. 2026
Téléchargements: 8
Source: Hugging Face

Description de la source

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

Sources

1 source

Hugging FacePrincipalVersion c210dd2ff2e06fbdc507beda9d09828b926d4c66

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

Vérifié 8 sept.

Artefacts du modèle

1 artefact

diffusion_pytorch_model.safetensors

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

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Extraits de sources

2 extraits

Readme8 sept.huggingface.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 sept.huggingface.co/yigagilbert/sunbird-stable-difussion-photos

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