Fish Eye LoRA for Wan
- Prompt
- A dancer leaping in slow motion under stage lights. Fish eye effect.
- Prompt
- A person opening an old book as dust floats up. Fish eye effect.
- Prompt
- A cyclist crossing a narrow wooden bridge. Fish eye effect.
- Prompt
- A man with a cat. Fish eye effect.
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 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.safetensorsandFish Eye_high_noise.safetensorsand place them inComfyUI/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.
- Load your base Wan model.
- Connect the output of the model loader to the
modelinput of the Load LoRA node. - Select both
Fish Eye_low_noise.safetensorsandFish Eye_high_noise.safetensorsin the Load LoRA node. - Connect the
MODELoutput of the LoRA node to your KSampler. - Adjust the
strength_modelas needed (0.8-1.0 is a good starting point).
References
- Base Model: Wan-AI/Wan2.2-T2V-A14B
- ComfyUI: comfyanonymous/ComfyUI
π Website
You can find more of my models, projects, and information on my official website:
π 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.
- Patreon: Support on Patreon
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Model tree for artificialguybr/FishEye-Redmond-WAN2-T2V-14B
Base model
Wan-AI/Wan2.2-T2V-A14B