rzgar/Wan2.2_I2V_LightX2V_2Step

🤗 On Hugging Facetext-to-imageapache-2.02.5 GBother✓ Checksum-verifiedupdated 0d ago
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Wan2.2 I2V LightX2V 2Step

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Fast LightX2V LoRAs for Wan2.2 I2V image-to-video.

Tuned for 2 steps high + 2 steps low setup.


| File | Load on |

|------|---------|

| Wan2.2_I2V_LightX2V_2step_high_noise.safetensors | High-noise |

| Wan2.2_I2V_LightX2V_2step_high_noise.safetensors | Low-noise |

Strength: 1.0 on both.


On my hardware, 81 f/s:

| Setup | Resolution | Steps | Avg. time |

|-------|------------|-------|-----------|

| Default LightX2V | 512×848 | 4 + 4 | ~89 s |

| This LoRA | 512×848 | 2 + 2 | ~37 s |

The time we spend on a 512×848 clip with 4Step LightX2V is about what it needs for 720×1280 with this pair.

Best when you need many previews, prompt tests, or seed hunting, and care more about iteration speed than maximum fine detail.


Text-to-Video style: input image | Prompt

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Recommended sampling

Schedulers that work well

| Sampler | Scheduler |

|---------|-----------|

| dpmpp_2m_sde | sgm_uniform |

| dpmpp_2m_sde_heun | sgm_uniform |

| sa_solver_pece | sgm_uniform |

Strength: 1.0 high · 1.0 low

Steps: 2 high · 2 low

Euler / Simple

euler + simple still works, but reliability drops. Expect more duds, often about 2 good out of 4 runs. Prefer the samplers above when you want fewer re-rolls.


Quality expectations

From a small random-seed test set (9 generations):

| Outcome | Count | Notes |

|---------|-------|-------|

| Clean motion, on-prompt, no body deformation | 6 / 9 | Usable “hero” candidates |

| Mild motion issues | 1 / 9 | Often still salvageable |

| Strong motion error | 2 / 9 | Reroll seed |

So: most seeds are fine, a minority will need a new seed. That trade-off is kinda acceptable for speed.

Compared with full 4-step LightX2V you may lose some fine detail and consistency. For final hero frames, you can still switch back to a 4-step stack.


🙏 Acknowledgements

LightX2V | Wan-AI