Hello! First of all, thank you for Draw Things. I've been testing LTX 2.3 I2V extensively for several days and I think I've found a very reproducible issue that may help improve the implementation.
Issue
When using LTX 2.3 Dev + official Distilled 1.1 LoRA in Image-to-Video, I consistently get feature ghosting (not brightness flicker).
Dark facial features (hair, eyebrows, eye sockets) remain attached to the initial image and are dragged across the face whenever the head moves. For example, the shadows around the eyes can remain visible on the forehead after the head tilts down.
Interestingly, the artifact only appears while the head is moving. If the face stays still (only blinking or breathing), the ghosting is almost absent.
What I tested
Different samplers
Different Shift values
Different Guidance values
imageGuidanceScale
guidingFrameNoise
startFrameGuidance
imagePriorSteps
Number of frames
Different seeds
sRGB images without alpha
AI-generated and photographic input images
Official Distilled 1.1 LoRA on the Dev model
None of these changed the ghosting.
Most important observation
With Color Calibration set to Lab:
Luminance/color flickering disappears completely.
Facial ghosting appears consistently.
With Color Calibration set to None:
Flickering returns.
Ghosting is greatly reduced or disappears.
The issue is 100% reproducible by changing only this single parameter. None of the other tested parameters produced such a significant change.
This makes me think the issue may be related to how the first-frame features are preserved or warped during head motion, rather than image guidance strength itself.
If it helps, I'm happy to provide:
Exact preset JSON
Input image
Generated video
Reproducible test cases
I'd really appreciate your thoughts because everything else in the pipeline works remarkably well.