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# TT-DiT Experimental Models
In-progress model variants built on top of the Wan2.2 I2V pipeline.
## Models
- **[AniSora V3.2](models/AniSora.md)** β€” Anime-domain I2V fine-tune of Wan2.2-I2V-A14B
- **[Wan2.2-Distill](models/Wan2_2_Distill.md)** β€” 4-step distilled I2V via lightx2v (7Γ— speedup)
- **[Wan2.2 LoRA](models/Wan2_2_LoRA.md)** β€” LoRA adapter pipeline (camera control, style transfer, multi-LoRA stacking)
- **[Wan2.2 SVI 2.0 Pro](models/Wan2_2_SVI.md)** β€” Stable-Video-Infinity long-video generation by autoregressive clip chaining
## Directory Structure
```
experimental/
β”œβ”€β”€ models/ # Model documentation
β”‚ β”œβ”€β”€ AniSora.md
β”‚ β”œβ”€β”€ Wan2_2_Distill.md
β”‚ β”œβ”€β”€ Wan2_2_LoRA.md
β”‚ └── Wan2_2_SVI.md
β”œβ”€β”€ pipelines/ # Pipeline implementations
β”‚ β”œβ”€β”€ pipeline_anisora.py
β”‚ β”œβ”€β”€ pipeline_wan_distill.py
β”‚ β”œβ”€β”€ pipeline_wan_lora.py
β”‚ └── pipeline_wan_svi.py
β”œβ”€β”€ utils/ # Shared utilities
β”‚ β”œβ”€β”€ lightx2v_loader.py
β”‚ └── lora.py
└── tests/ # End-to-end tests
β”œβ”€β”€ test_pipeline_anisora.py
β”œβ”€β”€ test_pipeline_lora.py
β”œβ”€β”€ test_pipeline_wan_distill_i2v.py
└── test_pipeline_wan_svi.py
```
All pipelines extend `WanPipelineI2V` from the main `tt_dit` tree and reuse the
existing transformer, VAE, text encoder, and parallel infrastructure.