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Wan2.1 14B I2V 480p v1.0:
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Trained on 1.5 minutes of video comprised of 20 short clips of things being squished. This was trained on the Wan.21 14B I2V 480p model.
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The trigger word is: 'sq41sh squish effect'
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See below for some example prompts that have worked very well. I believe the prompt structure can be very similar as the examples are; you just need to specify the object being squished and that is the only difference.
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Recommended Settings:
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LoRA strength = 1.0
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Embedded guidance scale = 6.0
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Flow shift = 5.0
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Here's a link to the Wan2.1 I2V inference workflow I used to generate these videos: https://github.com/kijai/ComfyUI-WanVideoWrapper/blob/main/example_workflows/wanvideo_480p_I2V_example_02.json
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Prompt Examples:
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Example 1: In the video, a miniature rodent is presented. The rodent is held in a person’s hands. The person then presses on the rodent, causing a sq41sh squish effect. The person keeps pressing down on the rodent, further showing the sq41sh squish effect.
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Example 2: In the video, a miniature tank is presented. The tank is held in a person’s hands. The person then presses on the tank, causing a sq41sh squish effect. The person keeps pressing down on the tank, further showing the sq41sh squish effect.
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As you can see, the prompt structure is identical, it is only the object being squished that changes.
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Let me know if there are any questions, I'll be happy to help!
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