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+ ---
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+ license: other
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+ tags:
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+ - concept
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+ - scene change
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+ - scene jump
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+ - transition
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+ ---
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+
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+ # Wan 2.2 Scene Change by MQ Lab - fade_i2v l-noise v1.0 - 2980108
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+ **Model Type**: LORA
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+ **Base Model**: Wan Video 2.2 I2V-A14B
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+ **Trigger Words**: None
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+ **Tags**: concept, scene change, scene jump, transition
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+
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+ ## Gallery
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+
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+ <table>
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+ <tr>
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+ <td><video src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fa311ba0-610e-4085-9b8e-a35dc66c8843/original=true/131938258.mp4" width="200" controls muted autoplay loop></video></td>
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+ </tr>
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+ </table>
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+
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+ ## Description
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+ **Wan 2.2 Scene Change LoRA by MQ Lab**
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+ This LoRA is a game-changer in WAN video generation!
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+ While its basic function is to force scene changes, it also has another special feature:
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+ It enables the use of T2V LoRA in I2V workflows.
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+ By using this LoRA and T2V LoRA together in an I2V workflow, you can recreate T2V LoRA scenes while preserving the characters in the input image. A standard T2V LoRA model is fine, but it needs to be well-trained. If you'd like to try it, please use the T2V LoRA model I've uploaded. It's designed to be used in conjunction with Scene Change LoRA.
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+ **Prompt ex**
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+ The screen goes dark and then lights up again to show the new scene.
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+ {your prompt}
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+ **T2V LoRA training method**
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+ Tool : Ostris AI-Toolkit
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+ Model : Wan2.2 14B(T2V)
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+ Resolution : 512 x 512
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+ Rank : 32
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+ Steps : around 2000
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+ Number of videos in the dataset : around 20
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+ \*The number needed to maintain character consistency
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+ Tips:
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+ I use a training resolution of 512x512 because increasing the resolution can compromise character consistency. However, 512x512 is too small to train fine details, so it's a good idea to include close-up videos of the specific body parts you want to train in your dataset. However, if the close-up is too extreme, the model won't be able to determine which body part it is, and training will fail.
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+
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+ ---
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+
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+ Author: [MQ_Lab](https://civitai.com/user/MQ_Lab)
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+ Model: [CivitAI Model Page](https://civitai.com/models/2653970?modelVersionId=2980108)
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+ Archive: [CivArchive Page](https://civarchive.com/models/2653970?modelVersionId=2980108)
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+ <!-- Version: 20260527_upload -->