LTX IC-Lora v2v Multi Switch: Missionary version

Support me so I can make more models, faster: https://ko-fi.com/the_cook

This IC-Lora and accompanying workflow allows you to input a video, and get a missionary scene in return, influenced by your input video. The resulting video will keep the identity of the subject, and even certain nuances like facial expressions can be transferred to the new scene, resulting in a more believable identity.

For this to work, YOU HAVE TO USE THE WORKFLOW, which includes the BFS nodes that make the subject identity stick. That also requires an additional lora trained specifically for the BFS nodes to function: https://huggingface.co/Alissonerdx/LTX-Best-Face-ID/blob/main/Best_FaceID_v1.0_LoRA.safetensors

LTX is notoriously bad at keeping likeness, which is why it took me so long to develop new loras for the architecture. I've trained a lot of new models for it, but the likeness was always only 80% there, and so I couldn't justify releasing the results. This method finally solves it, and I'm going to release future LTX models using this method because it works so well. Shout out to Alisson for persisting in trying to solve the problem for months.

Using Kijai's int8 version of the LTX dev model will run faster and use less VRAM: https://huggingface.co/Kijai/LTX2.3_comfy/blob/main/diffusion_models/ltx-2.3-22b-dev_transformer_only_int8_convrot.safetensors

This Distill lora is better for i2v and v2v than the normal distill: https://huggingface.co/TenStrip/LTX2.3_Distilled_Lora_1.1_Experiments/blob/main/ltx-2.3-22b-distilled-lora-1.1_fro90_ceil72_condsafe.safetensors

Using the DMD distill makes LTX better: https://huggingface.co/TenStrip/LTX2.3_DMD_Lora/blob/main/LTX2.3_DMD_reshaped_r256.safetensors