Type | |
Stats | 147 7 |
Reviews | (23) |
Published | Feb 5, 2025 |
Base Model | |
Training | Steps: 24,000 |
Hash | AutoV2 819CD4F16C |
Overview
This LoRA was trained for 24,000 iterations with rank 64 on a diverse dataset of over 2000 images, for the purpose of creating 360 degree panorama images. Generally the seam is almost nonexistent and polar distortion artifacts are rare, 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 and VR.
Additional Tools
Recommended ComfyUI Nodes
ComfyUI_preview360panorama (for viewing 360s): https://github.com/ProGamerGov/ComfyUI_preview360panorama
ComfyUI_pytorch360convert (for editing 360s): https://github.com/ProGamerGov/ComfyUI_pytorch360convert
Websites
* RenderStuff (supports VR headsets): https://renderstuff.com/tools/360-panorama-web-viewer/
Limitations
The proportion of training images containing humans was limited to make training faster for version 1.0.