Electrify

🚀 Electrify LoRA for Wan2.1 14B I2V 480p

This LoRA is trained on the Wan2.1 14B I2V 480p model, enabling you to add an electrifying effect to anything. It also works for T2V with a similar prompting style.

🚀 Quick Start

Get started with this LoRA by following the steps below. You can also join our community on Discord to generate videos for free.

✨ Features

• Base Model Compatibility: Trained on the Wan2.1 14B 480p I2V base model.
• Consistent Results: Achieve consistent results across different object types.
• Simple Prompting: Use a simple prompt structure that's easy to adapt.

📦 Installation

📥 Download Links

• electrify_50_epochs.safetensors - LoRA Model File
• wan_img2vid_lora_workflow.json - Wan I2V with LoRA Workflow for ComfyUI

📚 Documentation

Recommended Settings

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

Trigger Words

The key trigger phrase is: <code style="background-color: #f0f0f0; padding: 3px 6px; border-radius: 4px;">e13c7r1c electricity effect</code>

Prompt Template

For prompting, refer to 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 25 seconds of video comprised of 13 short clips (each clip captioned separately) of various electricity clips
• Epochs: 50

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!

🔧 Technical Details

The model is trained using the Wan2.1 14B I2V 480p base model. It's trained on a dataset of 25 seconds of video, which consists of 13 short clips of various electricity effects. Each clip is captioned separately. The training was carried out for 50 epochs using the Diffusion Pipe for Training.

📄 License

This project is licensed under the Apache-2.0 license.

🌐 Community

• Discord: Join our community to generate videos with this LoRA for free.
• Request LoRAs: We're training and open-sourcing Wan2.1 LoRAs for free - join our Discord to make requests!