LTX 2.3 launches video-to-video mode with Depth control

• LTX 2.3 added video-to-video restyling, and techhalla's walkthrough shows the basic loop: generate a base clip, pull its first frame, restyle that frame, then feed both back into video-to-video.
• In techhalla's control-mode demo, the key switch is Depth mode, which keeps motion and scene layout while swapping the visual treatment.
• PurzBeats pushed LTX 2.3 into an agent workflow that asks Hermes Agent and ComfyUI Cloud for nine biome clips, then stitches them together with ffmpeg; the helper repo is public but flagged as experimental in the follow-up post.
• A Reddit benchmark from ovpresentme's r/StableDiffusion post claims Ampere-friendly INT8 loading cut LTX 2.3 inference from 118.77s to 66.45s, with links to the Hugging Face weights and the custom ComfyUI loader.

You can trace the restyling recipe through techhalla's thread opener and the Depth-mode step, then jump to PurzBeats' Hermes Agent helper for batch assembly. On the performance side, the Reddit benchmark thread points to a separate INT8 checkpoint on Hugging Face and a matching ComfyUI loader node.

The useful addition is simple: LTX 2.3 can now take an existing clip and remap it into a new look instead of starting from text alone.

The thread lays out the pieces visible in the UI:

• text-to-video generation for the source clip
• a first-frame grab used as the style reference
• video-to-video as the transformation pass
• control modes including Pose, Depth, and Edges, with Depth selected in the demo techhalla's control-mode demo
• output settings shown as LTX-2.3 Pro, 1080p, 16:9 in the example screen the interface screenshot

The thread's actual recipe is more specific than "upload a clip and stylize it."

According to techhalla's step-by-step post, the workflow is:

1. Generate the original shot in text-to-video.
2. Export or grab the first frame.
3. Restyle that still into multiple looks.
4. Upload the original video plus one restyled frame into video-to-video.
5. Re-describe the action and style in the prompt.
6. Pick Depth as the control mode.

That frame-first trick is the interesting part. The still image locks the new art direction before video-to-video starts propagating it through motion, which is why the examples can swing from anime to papercraft to glowing fantasy creature without changing the shot design.

Creators immediately started wrapping LTX 2.3 in automation instead of treating it as a one-off UI feature.

PurzBeats' prompt asks Hermes Agent to do three concrete jobs in sequence:

• call ComfyUI Cloud
• generate nine LTX 2.3 text-to-video clips of animals in different biomes
• stitch the results together with ffmpeg using one-second crossfades the prompt example

The companion project, hermes-agent-comfyui-helper on GitHub, is described by PurzBeats' follow-up as a template-consistency helper that uses a Comfy template repo as its source of truth. The same post says the setup is hardcoded to the author's local environment and still experimental.

The other fast-moving thread around LTX 2.3 is less about style control and more about runtime.

In the Reddit benchmark, ovpresentme says an INT8 loading path aimed at Ampere GPUs cut one LTX 2.3 run from 118.77 seconds to 66.45 seconds. The post also says the gain is most relevant for cards like the RTX 3080 Ti, and not especially useful for an RTX 5090.

The post links out to two implementation pieces:

• ltx-2.3-distilled-1.1-INT8 on Hugging Face
• ComfyUI-ltx-int8-loader on GitHub

One small caveat surfaced in the same Reddit thread: when a commenter asked about the undistilled model, ovpresentme's reply said version 1.1 appears to have only a distilled release, while an older 1.0 conversion came from another user. That makes the current INT8 speedup story partly a model-availability story too.