SLOW like CogvideoX
the only reason i choose LTX over Cogvideo is the speed, with the new update of 0.9.1 its slower than cogvideo now.. why every update has to be trash
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LTXV 0.9.1 has a decoder that is a bit larger than 0.9 which means it needs more VRAM but from all our measurements can run at 10% added time or lower on machines with sufficient memory.
What setup makes you say it's as slow as a model that is much slower in all setups we saw in the community?
Hello,
Thank you for your feedback! I believe you are referring to the playground environment. The slowdown was caused by a temporary switch to different server hardware. Providing a top-notch user experience is our highest priority, so we’ve switched to the original hardware. The playground is now running fast once again.
If you have any further comments or suggestions, please don’t hesitate to reach out!
the only reason i choose LTX over Cogvideo is the speed, with the new update of 0.9.1 its slower than cogvideo now.. why every update has to be trash
Checkout that gradio demo /w ltx 0.9.1 t2v support originally created by newgenai79 - check the code from app.py in that space or from github repo ltx t2v gradio demo file(which i've forked to ZeroGPU space so it's 1:1 same file/code/logic etc) and compare generation time from this ZeroGPU space with your local gpu - maybe it will help to fix your problem soon.