Trained on <a target="_blank" rel="ugc" href="https://yorespot.com">https://yorespot.com</a> — where creators train faster, cheaper, and with minimal censorship (within legal limits). If you’re serious about building models, that’s where you should be.For the hottest working Loras for wan2.2 that CivitAI has removed visit the site above we got them before they were deleted.<hr />WAN 2.2 I2V LoRA========================================================<h2 id="trigger-word">Trigger Word</h2>ysp_forcbj24<hr />OverviewThis is a WAN 2.2 I2V LoRA trained for high-quality portrait video generation. It uses a two-phase training approach to properly separate low-noise detail learning and high-noise motion structure — resulting in cleaner motion, stronger consistency, and better frame coherence than single-pass LoRAs.<hr />Training DetailsBase Model: • WAN 2.2 I2V 14B • (LOW + HIGH LoRA files)Method: • Musubi Tuner video LoRA workflow • Two-phase training (LOW timesteps → HIGH timesteps)Dataset: • 16 portrait video clips (512×512) • Hand-captioned (.txt per clip) • Full frame extraction (~30 FPS) • Up to 33 frames per clip • 4 repeats per clipTraining Config: • LoRA rank: 32 • Alpha: 32 • Learning rate: 2e-4 • Optimizer: AdamW (8-bit) • Scheduler: Cosine • Precision: bf16 + gradient checkpointingTraining Process: • 50 epochs (LOW noise model) • 50 epochs (HIGH noise model) • Total: 100 effective passes across both expertsTraining Time: • ~20 hours total runtime<hr />Recommended Usage (IMPORTANT)This is a dual-LoRA system. You MUST use both files together.HIGH noise LoRA: • Strength: 0.55LOW noise LoRA: • Strength: 0.90Best results come from using both simultaneously in a WAN 2.2 I2V workflow.Using only one will significantly reduce quality.<hr />Why This MattersMost LoRAs fail at motion consistency or overfit to static detail. This setup avoids that by splitting the learning problem:• LOW model → structure, identity, fine detail • HIGH model → motion, transitions, temporal coherenceThe result is smoother, more stable, and more realistic video output.<hr />If you want to train models like this yourself — faster, cheaper, and without the usual platform limitations — train at <a target="_blank" rel="ugc" href="https://yorespot.com">https://yorespot.com</a>.

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