Hi LTX Team,
Thank you for open-sourcing such amazing work!
I have been following recent research on using self-forcing/causal forcing to auto-regressively train a base bidirectional model into a causal model (similar to OmniForcing). This led me to explore the LTX Video Decoder to see if a causal mode is possible.
I noticed the causal=False flag in the current VideoVAE implementation here.
I have a few questions regarding this:
- Does the current weights natively support setting
causal=True?
- I tested it with
causal=True and obtained the results below. Are these artifacts expected behavior under the current weights?
- If this isn't fully supported yet, are there any plans to release causal decoder weights or provide official support for this mode in the future?
Test Results:
causal=False
https://github.com/user-attachments/assets/85843173-2f8c-4ac5-931e-3f2348cdd679
causal=True
https://github.com/user-attachments/assets/ae50b82c-32c6-40fc-8ed8-04a516a20219
Thanks again for your time and support!
Hi LTX Team,
Thank you for open-sourcing such amazing work!
I have been following recent research on using self-forcing/causal forcing to auto-regressively train a base bidirectional model into a causal model (similar to OmniForcing). This led me to explore the LTX Video Decoder to see if a causal mode is possible.
I noticed the
causal=Falseflag in the currentVideoVAEimplementation here.I have a few questions regarding this:
causal=True?causal=Trueand obtained the results below. Are these artifacts expected behavior under the current weights?Test Results:
causal=False
https://github.com/user-attachments/assets/85843173-2f8c-4ac5-931e-3f2348cdd679
causal=True
https://github.com/user-attachments/assets/ae50b82c-32c6-40fc-8ed8-04a516a20219
Thanks again for your time and support!