| --- |
| base_model: Lightricks/LTX-2.3 |
| library_name: ltx |
| license: other |
| license_name: ltx-2-community-license |
| license_link: https://github.com/Lightricks/LTX-2/blob/main/LICENSE |
| pipeline_tag: image-to-video |
| tags: |
| - ltx-video |
| - ltx-2.3 |
| - lora |
| - ic-lora |
| - multi-reference |
| - msr |
| - chinese-drama |
| --- |
| |
| # SyFe LTX-2.3 MSR LoRA Checkpoints |
|
|
| Multiple Subject Reference LoRAs trained by SyFe on LTX-2.3 22B-dev. Multiple subject and scene images are encoded as reference-video latents so target tokens can retrieve them through native self-attention. |
|
|
| ## Checkpoints |
|
|
| | Run | Data / construction | Rank | Steps | Status | |
| |---|---|---:|---:|---| |
| | `msr_plain_01` | Initial crop-fill references | 128 | 5,000 | Archived: crop-fill can crop full-body subjects | |
| | `msr_plain_02` | Correct white-canvas, never-crop subjects | 128 | 5,000 | Validated in the combined talking stack | |
| | `msr_plain_rebuilt01` | Rebuilt intermediate corpus | 128 | 5,000 | Superseded experiment | |
| | `msr_corpus36_run01` | 35 shows, 31,500 true-bilingual samples | 128 | 6,000 | Recommended; deployed final | |
|
|
| For `msr_corpus36_run01`, reference subjects must be contain-fit without cropping on a white canvas; scene references may be cover-fit. Prompts should begin with the ordered subject markers, for example `[VISUAL]: char_1_person, char_2_person...`, because marker order binds prompt subjects to reference slots. |
|
|
| The recommended checkpoint materially improves out-of-show costume, prop, hair, and scene adherence and removes memorized-cast substitution. Exact facial identity can still drift, especially when faces occupy few pixels. Two-subject reliability is not perfect. |
|
|
| The third-party `Licon-MSR-V1` checkpoint is intentionally not included. Use is subject to the LTX-2 community license. |
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|
