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Rehan Sheikh<Remade@users.noreply.huggingface.co>
Update README.md

Crash zoom out LoRA for Wan2.1 14B I2V 480p

Overview

Abruptly zooms out from the subject to reveal the surrounding scene, creating a sudden sense of scale, surprise, or disorientation. Ideal for dramatic or comedic reveals.This LoRA is trained on the Wan2.1 14B I2V 480p model.

Features

  • Trained on the Wan2.1 14B 480p I2V base model
  • Consistent results across different object types
  • Simple prompt structure that's easy to adapt

Community

Model File and Inference Workflow

📥 Download Links:


Recommended Settings

  • LoRA Strength: 1.0
  • Embedded Guidance Scale: 6.0
  • Flow Shift: 5.0

Trigger Words

The key trigger phrase is: cr34sh crash zoom out effect

Prompt Template

For prompting, check out the example prompts; this way of prompting seems to work very well.

ComfyUI Workflow

This LoRA works with a modified version of Kijai's Wan Video Wrapper workflow. The main modification is adding a Wan LoRA node connected to the base model.

See the Downloads section above for the modified workflow.

Model Information

The model weights are available in Safetensors format. See the Downloads section above.

Training Details

  • Base Model: Wan2.1 14B I2V 480p
  • Training Data: Trained on 50 seconds of video comprised of 10 short clips (each clip captioned separately) of scenes that used the crash zoom out camera motion.
  • Epochs: 25

Additional Information

Training was done using Diffusion Pipe for Training

Acknowledgments

Special thanks to Kijai for the ComfyUI Wan Video Wrapper and tdrussell for the training scripts!