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Browse filesabout SCS(Scene Change System)
This system utilizes the Wan2.2 I2V workflow in conjunction with Scene Change LoRA and T2V LoRA, enabling a seamless transition to the T2V LoRA scene while preserving the person from the input image.
Scene transitions using this system offer exceptional character consistency. You no longer need to train a character LoRA every time; a single portrait image is all it takes.
Files required for SCS and their roles
1. Scene Change LoRA(scene_change_nsfw_v2.0_high_noise.safetensors)
This LoRA serves to seamlessly guide the input image into a T2V scene. It does not use Low Noise.
2. Target T2V LoRA
This is a T2V LoRA designed for the target scene. The "High Noise" setting strongly anchors the scene, while the "Low Noise" setting provides the foundation for rendering the genitals. I recommend using the official T2V created by MQ Lab.
3. DR34ML4Y_I2V_14B_LOW_v2
This renders genitals. High Noise is not used.
https://civitai.red/models/1811313/dr34ml4y-all-in-one-nsfw-wanltx2?modelVersionId=2553271
Strength setting
From the perspective of character consistency, the lowest strength at which each LoRA can effectively fulfill its role is preferable.
scene_change_nsfw_v2.0_high.safetensors 0.70
target_t2v_high.safetensors 0.70
target_t2v_low.safetensors 0.60
DR34ML4Y_I2V_14B_LOW_V2.safetensors 1.00
Prompting
Please refer to the page for each T2V LoRA.
Input image
I recommend square-resolution, portrait images.
Others
Using the 4-step LoRA and generating with "High Noise 4-step" and "Low Noise 4-step" yields the highest quality.
- mql_atm_a_high_noise.safetensors +3 -0
- mql_doggy_a_v2_low_noise.safetensors +3 -0
- mql_doggy_b_v1_high_noise.safetensors +3 -0
- mql_dp_a_v1_high_noise.safetensors +3 -0
- mql_missionary_a_v1_low_noise.safetensors +3 -0
- mql_missionary_b_v1_high_noise.safetensors +3 -0
- mql_reverse_cowgirl_a_v1_high_noise.safetensors +3 -0
- mql_spoon_a_v2_low_noise.safetensors +3 -0
- mql_standing_a_v1_high_noise.safetensors +3 -0
- scene_change_nsfw_v2.0_high_noise.safetensors +3 -0
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