Instructions to use SyFeee/Bernini-LTX-Research-Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
- Notebooks
- Google Colab
- Kaggle
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Download README.md from SyFeee/Bernini-LTX-Research-Checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 2.3 kB
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https://huggingface.co/SyFeee/Bernini-LTX-Research-Checkpoints/resolve/main/README.md
- Command line
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hf download hf://SyFeee/Bernini-LTX-Research-Checkpoints/README.md
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curl -L -o README.md https://huggingface.co/SyFeee/Bernini-LTX-Research-Checkpoints/resolve/main/README.md
2.3 kB
| 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 | |
| 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. | |