Update app.py

add aoti for speed up (#3)

Switch backend to native LTX-2 (ICLoraPipeline) (#2)

metadata: point models: to the official Lightricks LoRA repo (fix model-card backlink)

seed: write the used seed back into the Seed slider (drop separate 'Seed used' field)

point LoRA to official Lightricks LTX-2.3 Creative Lab repos

elaborate example prompts (more detail, README-aligned trigger/format preserved)

trim GPU duration estimate to ~2.3x measured runtime (quota efficiency)

raise default resolution/frames to training bucket (quality fix)

revert to plain track_tqdm progress (Z-Image pattern), drop generator/callback

randomize seed by default; move 'Seed used' into advanced settings

merge: keep AOTI speedup + native progress-bar generator

native progress bar via generator (forwards on ZeroGPU)

Use precompiled AOTI transformer blocks (ZeroGPU speedup) (#1)

concise description: base model + LoRA links, via diffusers

audio folded into single prompt; inpaint example None->placeholder mask

Upload folder using huggingface_hub

initial commit