WindowSeat-Redmond-WAN2-T2V-14B

Window Seat 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 captures the contemplative, surreal experience of looking through windows while traveling. Each scene presents a view from buses, trains, planes, and trams that reveals extraordinary moments beyond ordinary reality - from floating islands above clouds to orchestras performing in wheat fields, from breathing forests to submerged cities. The style combines cinematic framing with surreal elements, creating dreamlike journeys that transform the mundane act of looking out a window into a portal to other worlds.

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

Trigger Words

The trigger phrase is Window Seat.

For best results, start your prompt with "Window Seat" followed by a description of a view through a vehicle window that reveals something surreal or extraordinary. The model will render these scenes with a cinematic, contemplative quality.

Setup for ComfyUI

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

• Download [WAN2.2]WindowSeat_Redmond_high_noise.safetensors and place it 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 [WAN2.2]WindowSeat_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

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

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