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

Trained on 40 seconds of video comprised of 8 short clips (each clip captioned separately) of people getting surrounded by puppies. This was trained on the Wan.21 14B I2V 480p model.

The trigger word is: 'pu11y puppy effect'

See below for some prompt examples that worked well for me. You can also check the videos I've posted here for the captions that were used to generate them. For each video the input image is just the first frame.

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

Check out all our LoRAs on our page: https://app.remade.ai/

Prompt Examples:

The video begins with a close-up portrait of an Asian man. The background changes and then the pu11y puppy effect begins. The man is now surrounded by many puppies. He pets the puppies.

The video begins with a close-up portrait of Thanos from Marvel. The background changes and then the pu11y puppy effect begins. Thanos is now surrounded by many puppies. He pets the puppies.

The video begins with a close-up portrait of a man wearing a suit. The background changes and then the pu11y puppy effect begins. The man is now surrounded by many puppies. He pets the puppies.

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