license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
base_model: black-forest-labs/FLUX.1-dev
tags:
- diffusers
- lora
- flux
inference:
parameters:
width: 1536
height: 640
widget:
- text: HDRI panoramic view of TOK, visiting an amusement park about harry potter.
output:
url: >-
samples/HDRI panoramic view of TOK, visiting an amusement park about
harry potter.webp
- text: >-
HDRI panoramic view of TOK, inside of a beautiful japanese onsen with
sakura tree, hot baths
output:
url: >-
samples/HDRI panoramic view of TOK, inside of a beautiful japanese onsen
with sakura tree, hot baths.webp
- text: >-
HDRI panoramic view of TOK, inside of an art gallery, very modern,
luxurious stylish, with expensive marble and copper-plated stuff
output:
url: >-
samples/HDRI panoramic view of TOK, inside of an art gallery, very
modern, luxurious stylish, with expensive marble and copper-plated
stuff.webp
- text: >-
HDRI panoramic view of TOK, inside of a fighter jet cockpit, flying in the
air, over an aircraft carrier, in San Francisco bay
output:
url: >-
samples/HDRI panoramic view of TOK, inside of a fighter jet cockpit,
flying in the air, over an aircraft carrier, in San Francisco bay.webp
- Prompt
- HDRI panoramic view of TOK, visiting an amusement park about harry potter.
- Prompt
- HDRI panoramic view of TOK, inside of a beautiful japanese onsen with sakura tree, hot baths
- Prompt
- HDRI panoramic view of TOK, inside of an art gallery, very modern, luxurious stylish, with expensive marble and copper-plated stuff
- Prompt
- HDRI panoramic view of TOK, inside of a fighter jet cockpit, flying in the air, over an aircraft carrier, in San Francisco bay
FLUX.1-[dev] Panorama LoRA (v2)
A LoRA model to generate panoramas using Flux dev.
Which image ratio to use?
This model has been trained on images with a 2:1 ratio (2048x1024).
So you might get good results is you use this for width and height.
However panorama viewers are pretty flexible when it comes to resolution, and FLUX.1 seems to generalize well.
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).
It doesn't work for case X or Y
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.
If you give me some examples, maybe I can try to find more data to better cover uncommon panoramas.
Non-commercial use
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.
Please use it responsibly, thank you!