Local Ai
IC LoRAs for LTX2 have so much potential - you can train SOTA control video capabilities on potato hardware - 4 examples w/ links below
IC-LoRA (In-Context LoRA) enables conditioning video generation on reference video frames at inference time, allowing fine-grained video-to-video control on top of a text-to-video base model. Unlike t
IC-LoRA (In-Context LoRA) enables conditioning video generation on reference video frames at inference time, allowing fine-grained video-to-video control on top of a text-to-video base model. Unlike traditional LoRAs that modify visual styles or effects, IC-LoRAs condition video generation on reference signals — giving frame-level precision over spatial structure and motion through depth maps, pose skeletons, edge detections, or any paired video data. This r/StableDiffusion post highlights the accessibility of training state-of-the-art IC-LoRA control capabilities for LTX-2 on consumer-grade hardware, sharing four practical examples and links demonstrating what community members can achieve with the LTX-2 trainer.
Related
- LTX 2.3 Lora Training - Data Set Captioning
- ltx 2.3 consistency in comfyui?
- Does LTX 2.3 have good motion transfer?
- fine-tune LTX 2.3 with his own dataset?
- LTX2.3 Multi Reference Image Workflow
- IC-LoRA-Detailer: It's for post-processing, not just rendering (LTX2.3)
Source: r/StableDiffusion | 2026-04-14