rzgar/Wan2.2_I2V_LightX2V_2Step

Wan2.2 I2V LightX2V 2Step

Fast LightX2V LoRAs for Wan2.2 I2V image-to-video.
Tuned for 2 steps high + 2 steps low setup.

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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.

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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.

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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.

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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.

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🙏 Acknowledgements

LightX2V | Wan-AI