README.md

metadata

title: Beexly Studio Video
emoji: 🎬
colorFrom: red
colorTo: purple
sdk: gradio
sdk_version: 5.9.1
app_file: app.py
pinned: false
license: other
license_name: ltx-video-open-weights
license_link: >-
  https://huggingface.co/Lightricks/LTX-Video-0.9.7-distilled/blob/main/LTX-Video-Open-Weights-License-0.X.txt
short_description: Text-to-video generation on free ZeroGPU
tags:
  - zero-gpu

Beexly Studio Video (ZeroGPU)

Personal video-generation tool. Not connected to any Galaxy Sports Edge product, data, or prediction engine — this is Garrett's own tooling, unrelated to GSE.

Model and license

• Model: Lightricks/LTX-Video-0.9.7-distilled, loaded via diffusers' LTXConditionPipeline (bf16, deferred-cuda ZeroGPU pattern).
• License: LTX-Video Open Weights License — free for personal and non-commercial use; commercial use by an entity with $10M+ annual revenue requires a separate paid agreement. Same posture as FLUX.1-dev on studio-media: personal tool, never for anything shipped on galaxysportsedge.com.
• Why this checkpoint: real research before building — the base 13B Lightricks/LTX-Video needs a heavier, separately-packaged multi-scale pipeline to hit ZeroGPU's duration cap reliably (confirmed by inspecting a working reference Space's source). The distilled 0.9.7 checkpoint is diffusers-native (LTXConditionPipeline.from_pretrained, no custom package) and its own model card recommends just 7 inference steps — built for exactly this speed/VRAM envelope. ~10GB VRAM for the base LTX-Video pipeline per the diffusers docs.

Known limits

• ZeroGPU's real per-call duration ceiling is ~120s reliably (up to ~240s has been reported but isn't guaranteed) — this is the binding constraint for video generation, tighter than VRAM. num_frames is capped at 121 (8n+1, ~5s at 24fps) and steps at 12 to stay inside it; the _video_duration() estimate is unmeasured ahead of a real deployed call — recalibrate against real wall-clock time once tested, the same discipline used for studio-media's FLUX.1-dev steps slider.
• Same forced gradio[oauth]==5.9.1 / gradio_client 1.5.2 schema bug as every other ZeroGPU Space in this suite — fixed here with the same monkeypatch (see studio-media's README for the full root-cause writeup).
• Cold start re-downloads all weights (no persistent disk on free tier).
• num_frames must be 8n+1 (41, 49, 57, ... 121) — the UI slider is stepped to only offer valid values.