Full Nelson Sex I2V LTX2.3 I2V LoRa - K3NK<ul><li>Same dataset as my other Full Nelson Loras</li><li>I didnt get any good result as T2V</li><li>Works great using base image s from my <a target="_blank" rel="ugc" href="https://civarchive.com/models/2440782/full-nelson-sex-lora-flux2-klein-9b-k3nk">Klein 9B Full Nelson</a></li><li>No audio trained</li><li>it can create mounstrous feet 👣</li></ul>Here is the settings used in musubi fork<pre><code># 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</code></pre><pre><code>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</code></pre>

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