Panorama Lora

This model has been trained on 2:1 ratio (2048x1024) images.
Therefore, if you use this ratio as width and height, you may get good results.
However, the panorama viewer is very flexible in terms of resolution, and FLUX.1 seems to generalize well.
For example, gallery samples were generated at 1536×640 (approximately 21:9) because this is relatively fast (about 16 seconds on the HF inference API).
It generally works well for "normal" requests, but if the model is asked to create spherical distortions of uncommon content, locations, or angles, it may encounter difficulties.
Model Information
This model has been trained on 2:1 ratio (2048x1024) images.
Therefore, if you use this ratio as width and height, you may get good results.
However, the panorama viewer is very flexible in terms of resolution, and FLUX.1 seems to generalize well.
For example, gallery samples were generated at 1536×640 (approximately 21:9) because this is relatively fast (about 16 seconds on the HF inference API).
It generally works well for "normal" requests, but if the model is asked to create spherical distortions of uncommon content, locations, or angles, it may encounter difficulties.