Bernini-R-n4w
Your browser does not support the video tag. ### Anatomy & Generation QualityThis merge handles male and female anatomy well. Results become significantly stronger and more consistent when guided by reference images or reference videos.
Success Rates (based on internal testing):
- I2V / Reference Video-to-Video: Over 75% good results in a single generation
- Text-to-Video (T2V): Above 65% when using detailed prompts (quality varies with prompt strength)
Prompting Advice
Bernini-R is noticeably more complex than standard Wan2.2 models, so the short/simple prompts many people use with Wan2.2 often don’t perform well here.
- Text-to-Video (T2V): Prompts need to be detailed and descriptive. In some cases, running a second generation was required to get a strong result.
- Image-to-Video with reference video: One generation was enough in roughly 7 out of 10 tests.
Tip – Refiner for Difficult Scenes
For tricky or complex scenes, using the low-noise expert from another Wan2.2 merge (I used SmoothMix I2V V1 low-noise) as a refiner often further improves anatomy and fine details if the initial video isn’t too messy.
Your browser does not support the video tag.LightX2V LoRA
- wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors
- wan2.2_t2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors