| --- |
| license: other |
| license_name: ltx-2-community-license |
| license_link: https://huggingface.co/Lightricks/LTX-2.3/blob/main/LICENSE |
| base_model: Lightricks/LTX-2.3 |
| pipeline_tag: text-to-video |
| tags: |
| - ltx-video |
| - ltx-2.3 |
| - lora |
| - video-generation |
| - research |
| --- |
| |
| # Bernini LTX Research Checkpoints |
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|
| 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. |
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| ## Important Loading Requirement |
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| Each run contains two files that must be loaded together: |
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| - `lora_weights_step_*.safetensors`: the rank-64 LoRA adapter. |
| - `bernini_P_step_*.safetensors`: the matching Bernini projection weights. |
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| The LoRA alone is incomplete. Keep both files from the same run and step; projection weights are not interchangeable across runs. |
|
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| ## Included Runs |
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| | 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 | |
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| 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. |
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| ## Scope and Use |
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| 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. |
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| Use of these derivatives remains subject to the LTX-2 Community License and the terms of the base model. |
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|