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

Trained on 1.5 minutes of video comprised of 20 short clips of things being crushed by a hydraulic press. This was trained on the Wan.21 14B I2V 480p model.

The trigger word is: 'c5us4 crushes it'

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 crushed 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 LoRA inference workflow I used to generate these videos: https://huggingface.co/Remade/Squish/blob/main/workflow/wan_img2video_lora_workflow.json

This is a slight modification to Kijai's version, with the main difference being the addition of the WanVideo Lora Select node, connected to the 'lora' field of the WanVideo Lora Select node. Find Kijai's original workflow here:
https://github.com/kijai/ComfyUI-WanVideoWrapper/blob/main/example_workflows/wanvideo_480p_I2V_example_02.json

Prompt Examples:

Example 1: The video begins with a [object]. A hydraulic press positioned above slowly descends towards the [object]. Upon contact, the hydraulic press c5us4 crushes it, deforming and flattening the [object], causing the [object] to collapse inward until the [object] is no longer recognizable.

As you can see, the prompt structure is identical, it is only the object being crushed that changes.

Let me know if there are any questions, I'll be happy to help!