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  A LoRA model to generate panoramas using Flux dev.
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- It usually work fine for "normal" requests, but might have trouble creating the spherical distortion if you ask for uncommon content, locations or angles.
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  ## Which image ratio to use?
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- This model has been trained on images with a 2:1 (2048x1024).
 
 
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  However panorama viewers are pretty flexible when it comes to resolution, and FLUX.1 seems to generalize well.
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  For instance the gallery samples have been generated in 1536 × 640 (~21:9), since this is reasonably fast (16 sec on the HF Inference API).
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  ## Non-commercial use
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  As the base model is FLUX.1-[dev] and since the data comes from Google Street View, it should be used for [non-commercial, personal or demonstration purposes only](https://github.com/black-forest-labs/flux/blob/main/model_licenses/LICENSE-FLUX1-dev).
 
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  A LoRA model to generate panoramas using Flux dev.
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  ## Which image ratio to use?
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+ This model has been trained on images with a 2:1 ratio (2048x1024).
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+ So you might get good results is you use this for width and height.
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  However panorama viewers are pretty flexible when it comes to resolution, and FLUX.1 seems to generalize well.
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  For instance the gallery samples have been generated in 1536 × 640 (~21:9), since this is reasonably fast (16 sec on the HF Inference API).
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+ ## It doesn't work for case X or Y
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+ It usually work fine for "normal" requests, but the model might have trouble creating the spherical distortion if you ask for uncommon content, locations or angles.
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+ If you give me some examples, maybe I can try to find more data to better cover uncommon panoramas.
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  ## Non-commercial use
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  As the base model is FLUX.1-[dev] and since the data comes from Google Street View, it should be used for [non-commercial, personal or demonstration purposes only](https://github.com/black-forest-labs/flux/blob/main/model_licenses/LICENSE-FLUX1-dev).