ModelListedExternal

Atomixl Realistic

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

Sourcehuggingface.co/shellypeng/atomixl_realistic/tree/741219f4a48a4c36f05f2a368ab1b914f4d05fff

KindOtherVersiondiffusion_pytorch_model

Model source

Kind: Other
File size: 4.78 GB
Version: vdiffusion_pytorch_model
Updated: Sep 14, 2026
Downloads: 15
Source: Hugging Face

Source description

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('shellypeng/atomixl_realistic')
image = pipeline().images[0]
image

Sources

1 source

Hugging FacePrimaryVersion 741219f4a48a4c36f05f2a368ab1b914f4d05fff

huggingface.co/shellypeng/atomixl_realistic/tree/741219f4a48a4c36f05f2a368ab1b914f4d05fff

Verified Sep 14

Model artifacts

2 artifacts

diffusion_pytorch_model.safetensors

safetensors · 4.78 GB · SHA-256 82ee9385505e…7f25 · Hugging Face

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unet/diffusion_pytorch_model.fp16.safetensors

safetensors · 4.78 GB · SHA-256 82ee9385505e…7f25 · Hugging Face

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Source excerpts

2 excerpts

ReadmeSep 14huggingface.co/shellypeng/atomixl_realistic

--- 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('shellypeng/atomixl_realistic') image = pipeline().images[0] image ```

NoteSep 14huggingface.co/shellypeng/atomixl_realistic

Source context: 15 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo shellypeng/atomixl_realistic