Tessy LoRA - LTX-2.5
LoRA trained on LTX-2.5 (dev transformer) to generate videos of Tessy, a woman with long dark hair, in various TV/podcast settings.
Training details
- Base model: Lightricks/LTX-2.5 (dev transformer)
- Training type: LoRA
- Rank / Alpha: 64 / 64
- Target modules:
to_k,to_q,to_v,to_out.0 - Training steps: 500
- Batch size: 1 (grad accum 1)
- Learning rate: 1e-4
- Resolution: 832x480, 121 frames, 24 fps
- Dataset: 39 clips of Tessy
- Trigger word:
tessy
Usage
uv run python -m ltx_pipelines.ti2vid_one_stage \
--transformer-path /path/to/ltx-2.5-22b-dev-transformer-bf16.safetensors \
--text-encoder-path /path/to/gemma4-12b-with-proj-ltx-2.5-bf16.safetensors \
--video-vae-path /path/to/ltx-2.5-video-vae-bf16.safetensors \
--audio-vae-path /path/to/ltx-2.5-audio-vae-bf16.safetensors \
--lora lora_weights_step_00500.safetensors 1.0 \
--num-frames 121 \
--prompt "tessy A static medium close-up shot at eye level features a woman with long dark hair sitting at a podcast desk..." \
--output-path test_tessy.mp4
Model tree for cometa21/tessy-ltx25
Base model
Lightricks/LTX-2.5