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Upload upsampler_theme.py with huggingface_hub

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Quantize Gemma before loading the rest: transient bf16 peak OOM-killed startup on tightly packed hosts

Tighten ZeroGPU duration: scale with pixels x frames (measured 0.33s/M)

Fix requirements.txt line concatenation

Quantize Gemma (int4 QAT / int8 fallback) to fit default ZeroGPU slice; drop xlarge

Request xlarge ZeroGPU slice (53G packed ledger OOMs the default slice)

Dynamic ZeroGPU duration (cold-worker warmup blows fixed 75s budget)

Use Lightricks' ungated Gemma mirror (no license gate, no token)

Upgrade to LTX 2.3 22B distilled (Hub-downloaded checkpoints) + recipe

Apply Upsampler space recipe + standardized metadata

use xlarge ZeroGPU (full Blackwell) for VAE-decode headroom

pin torch==2.8.0 to match working LTX-2-3 ZeroGPU Space

remove torch pin; use ZeroGPU-provided torch

bump torch to 2.11.0 for ZeroGPU Blackwell NVML fix

pin torch version to fix CUBLAS error (#34)

update gradio version (#29)

add note about the update to v0.9.8 (#24)

Update README.md

update to 0.9.8 (#23)

mcp-improve (#22)

Update app.py

Update README.md

disable deeplink temporarily

Update requirements.txt

update-inference (#4)

Update app.py

oops

get rid of gr.State

Update app.py

Randomize seeds sby default

Fix `improve_texture` and hide video-to-video

Update app.py

Update app.py

Add DeepLinkButton (#2)

MCP support? (#1)

Update README.md

Update configs/ltxv-13b-0.9.7-distilled.yaml

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py