Human 360 Diffusion LoRA for FLUX.1-dev

Prompt
360 degree equirectangular view, photo, a young woman smiling at the viewer as she wears a red dress and pink boots
Prompt
360 degree equirectangular view, photo, a woman standing in bar, wearing a white top and jeans, with running shoes

Model description

This LoRA was trained with rank 64 on a diverse dataset of over 1000 images, for the purpose of creating 360 degree panorama images of humans.

The seam and polar distortion artifacts should be minimal, but some careful editing or in-painting may be required to make the image appear seamless.

Usage

There is no trigger phrase, but as with all 360° Flux LoRAs, you should include some variation of '360 degree equirectangular view' in your prompt to improve output quality.

When rendering images, it's recommended that you choose a 2:1 aspect ratio, like 1024x512, 1536x768, or 2048x1024. Afterwards, you can use an upscaler of your choosing to make the resolution high enough for skyboxes, VR, and 2D/3D environments.

Additional Tools

HTML 360 Viewer

To make the viewing and sharing of 360 images & video easier, I built a web browser based HTML 360 viewer that runs locally on your device.

Recommended ComfyUI Nodes

If you are a user of ComfyUI, then these sets of nodes can be useful for working with 360 images & videos.

For diffusers and other libraries, you can make use of the pytorch360convert library when working with 360 media.

Limitations

The dataset had a limited number of poses, and is geared towards North American and European depictions of humans.

Citation Information

BibTeX

@software{Egan_Human_360_Diffusion_Dev_2025,
author = {Egan, Ben},
license = {MIT},
month = aug,
title = {{Human 360 Diffusion LoRA for FLUX.1-dev}},
url = {https://huggingface.co/ProGamerGov/human-360-lora-flux-dev},
year = {2025}
}

APA

Egan, B. (2025). Human 360 Diffusion LoRA for FLUX.1-dev [Computer software]. https://huggingface.co/ProGamerGov/human-360-lora-flux-dev

Please refer to the CITATION.cff for more information on how to cite this model.

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