Disintegration LoRA for Wan I2V

Prompt
Disintegration
Prompt
Disintegration
Prompt
Disintegration
Prompt
Disintegration
Prompt
Disintegration

Special Thanks:
This project was made possible thanks to generous sponsorship and GPU time provided by reDMOND Ai.
We are grateful for their support in training this LoRA.


Model Description

This LoRA specializes in creating dramatic disintegration effects from static images. Transform solid objects into particles, dust, or energy that dissolves into the air. Perfect for magical transformations, sci-fi effects, and adding a touch of the supernatural to your videos.

This version is specifically adapted for use with Wan-AI Image-to-Video models, like Wan2.2-I2V-A14B.

Trigger Words

The trigger phrase is Disintegration.

For best results, use "Disintegration" in your prompt when describing the scene you want to animate. The model will transform your static image into a dynamic disintegration sequence.

Setup for ComfyUI

To use this LoRA in ComfyUI, simply place the file in your loras directory:

  • Download [Wan2.2]Disintegration_Redmond_low_noise.safetensors and [Wan2.2]Disintegration_Redmond_high_noise.safetensors and place them in ComfyUI/models/loras/

Ensure your ComfyUI environment is already configured to run Wan I2V models.

Example Workflow (ComfyUI)

In your ComfyUI workflow, add a Load LoRA node after your base model loader.

  1. Load your base Wan I2V model.
  2. Connect the output of the model loader to the model input of the Load LoRA node.
  3. Select either [Wan2.2]Disintegration_Redmond_low_noise.safetensors and [Wan2.2]Disintegration_Redmond_high_noise.safetensors in the Load LoRA node.
  4. Connect the MODEL output of the LoRA node to your KSampler.
  5. Adjust the strength_model as needed (0.8-1.0 is a good starting point).

References


🌐 Website

You can find more of my models, projects, and information on my official website:

πŸ’– Support My Work

If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects.

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