SyFeee/Bernini-LTX-Research-Checkpoints

Bernini LTX Research Checkpoints

This repository contains 12 experimental Bernini adaptation runs trained against the LTX-2.3 22B development checkpoint. These are early research artifacts, not production-validated releases.

Important Loading Requirement

Each run contains two files that must be loaded together:

• lora_weights_step_*.safetensors: the rank-64 LoRA adapter.
• bernini_P_step_*.safetensors: the matching Bernini projection weights.

The LoRA alone is incomplete. Keep both files from the same run and step; projection weights are not interchangeable across runs.

Included Runs

Run	Step	Research focus
bernini_av_phaseA	1000	Reference-to-video plus joint audio
bernini_av_phaseA_704	1000	Phase A at the 704 training setup
bernini_av_phaseB_704	1000	Reference-voice conditioning at 704
bernini_combined_pilot	1800	Combined conditioning pilot
bernini_duo_pilot_inline	1000	Inline two-subject conditioning
bernini_fight_motion_pilot	1500	High-motion pose-control pilot
bernini_multishot_704	1000	Multi-shot continuity at 704
bernini_p2_baseline	1500	P2 baseline
bernini_p2_plan	1500	P2 planning-conditioned run
bernini_r2v_msr_baseline	1500	R2V MSR baseline
bernini_r2v_plan_pure	1500	R2V plan-only variant
bernini_r2v_plan_ref	1500	R2V planning with references

Each runs/<run>/training_config.yaml records the corresponding experiment configuration. Paths in these archival configs reflect the original training machine and must be adapted locally.

Scope and Use

The checkpoints explore identity/reference conditioning, planning, multi-subject control, motion control, multi-shot behavior, and audio generation. Quality varies by run. Validate identity, motion, audio, and temporal consistency on representative prompts before deployment.

Use of these derivatives remains subject to the LTX-2 Community License and the terms of the base model.