Squish Effect (Wan2.1 I2V LoRA)
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Squish Effect (Wan2.1 I2V LoRA)

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Squish Effect (Wan2.1 I2V LoRA)

Wan2.1 14B I2V 480p v1.0:

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.


The trigger word is: 'sq41sh squish effect'

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.

Recommended Settings:

LoRA strength = 1.0

Embedded guidance scale = 6.0

Flow shift = 5.0

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

Prompt Examples:

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.

This model is sourced from an external transfer (transfer address: https://civitai.com/models/1340141/squish-effect-wan21-i2v-lora?modelVersionId=1513385 ）,if the original author has objections to this transfer, you can click，
Appeal
We will, within 24 hours, edit, delete, or transfer the model to the original author according to the original author's request

有趣的80后程序员

有趣的80后程序员

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Model Information

Original author：
remade
Model Type：
LoRA
Basic Model：
WAN2.1
Trigger Words：
sq41sh squish effect

Wan2.1 14B I2V 480p v1.0:

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.


The trigger word is: 'sq41sh squish effect'

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.

Recommended Settings:

LoRA strength = 1.0

Embedded guidance scale = 6.0

Flow shift = 5.0

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

Prompt Examples:

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.

This model is sourced from an external transfer (transfer address: https://civitai.com/models/1340141/squish-effect-wan21-i2v-lora?modelVersionId=1513385 ）,if the original author has objections to this transfer, you can click，
Appeal
We will, within 24 hours, edit, delete, or transfer the model to the original author according to the original author's request