Full Nelson Sex I2V LTX2.3 I2V LoRa - K3NK

Full Nelson Sex I2V LTX2.3 I2V LoRa - K3NK

• Same dataset as my other Full Nelson Loras

• I didnt get any good result as T2V

• Works great using base image s from my Klein 9B Full Nelson

• No audio trained

• it can create mounstrous feet 👣

Here is the settings used in musubi fork

# LTXV 2.3 Dataset Configuration
[general]
resolution = [768, 768]
caption_extension = ".txt"
batch_size = 1
enable_bucket = true
#Dataset 1: Videos
[[datasets]]
video_directory = “G:/inputs/input-fnelson”
cache_directory = “D:/Musubi/cache_latents_videos”
target_frames = [15, 97]
frame_extraction = “head”
source_fps = 25.0
target_fps = 25.0
num_repeats = 2

accelerate launch ^
–num_cpu_threads_per_process 1 ^
–mixed_precision bf16 ^
ltx2_train_network.py ^
–mixed_precision bf16 ^
–dataset_config D:\Musubi\DATASET_CONFIG.toml ^
–gemma_root “D:\Musubi\models\gemma-3-12b-it-heretic-v2” ^
–gemma_load_in_8bit ^
–ltx2_checkpoint “D:\ComfyUI_Windows_portable\ComfyUI\models\checkpoints\ltx-2.3-22b-dev.safetensors” ^
–fp8_base ^
–fp8_scaled ^
–blocks_to_swap 12 ^
–use_pinned_memory_for_block_swap ^
–sdpa ^
–gradient_checkpointing ^
–learning_rate 5e-5 ^
–network_module networks.lora_ltx2 ^
–network_dim 64 ^
–network_alpha 64 ^
–timestep_sampling shifted_logit_normal ^
–ltx_mode video ^
–separate_audio_buckets ^
–ltx2_first_frame_conditioning_p 1.0 ^
–output_dir G:\Musubi-output\fnelson^
–output_name ltx2_lora ^
–max_train_steps 5000 ^
–save_every_n_steps 500 ^
–save_state ^
–optimizer_type AdamW8bit ^
–log_with tensorboard ^
–logging_dir G:\Musubi-output\logs