FishEye-Redmond-WAN2-T2V-14B

Fish Eye LoRA for Wan

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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.

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Model Description

This LoRA specializes in creating stunning fish-eye lens effects that add a unique wide-angle distortion to your videos. The fish-eye effect creates a characteristic convex, non-linear view that gives scenes a distinctive curved appearance, with the center appearing closer and the edges more distorted. Perfect for artistic, experimental, or dramatic visual storytelling.

This version is specifically adapted for use with Wan-AI models, like Wan2.2-T2V-A14B.

Trigger Words

The trigger phrase is Fish eye effect.

For best results, use "Fish eye effect" at the end of your prompt when describing a scene. The model will render your scene with the characteristic wide-angle distortion of a fish-eye lens.

Setup for ComfyUI

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

• Download both Fish Eye_low_noise.safetensors and Fish Eye_high_noise.safetensors and place them in ComfyUI/models/loras/

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

Example Workflow (ComfyUI)

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

1. Load your base Wan model.
2. Connect the output of the model loader to the model input of the Load LoRA node.
3. Select both Fish Eye_low_noise.safetensors and Fish Eye_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

• Base Model: Wan-AI/Wan2.2-T2V-A14B
• ComfyUI: comfyanonymous/ComfyUI

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🌐 Website

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

• artificialguy.com

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