Human 360 Diffusion LoRA for FLUX.1-dev

Details

Model description

Overview

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.

This model can also be used as the 'text to image' portion of 3D world workflows: Text to Image -> Image to Video -> Video to 3D World.

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.

HuggingFace

This model is also available for download on HuggingFace here (along with citation information): https://huggingface.co/ProGamerGov/human-360-lora-flux-dev

Images made by this model

No Images Found.