KXSR First-Person Flight Concept LorA for WAN 2.1 14B and 1.3B T2V

In collaboration with @machinedelusions [https://civitai.com/user/machinedelusions]

KXSR Labs presents:
This LoRA enables the creation of cinematic first-person perspective flying. The hands can be customized in the prompt provided or omitted from the prompt for raw forward camera movement. The typical view will be from a first-person perspective with dynamic movement in horizontal aspect ratio generation. Can still create fun results at other aspect ratios/resolutions.

Use the trigger word "kxsr" to activate the model's specialized training.

Prompt Format

kxsr, [flying in first-person perspective/a person flying in first-person perspective] [broad description of landscape] [describe visible body parts (hands/fists)] [describe movement direction and speed] [describe additional environmental details encountered during flight]

Example Prompts

kxsr, a person flying in first-person perspective through a raging forest fire, the camera descends through burning trees with smoke and ash rising into the sky

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kxsr, a person flying in first-person perspective through an underwater atlantis city, mermaid hands with painted fingernails visible, the camera descends into bubbling water and zooms through the sunken ornate ruins

Recommended Settings

• CFG: 4

• Shift value: 4.0

• LoRA strength: 1.0

• ~73 frames

• 720x1280 horizontal aspect ratio

Technical Details

• Base model: WAN 2.1 14B and 1.3B Text2Video

• Training dataset: 62 clips

• Resolution: 1280 x 720 (horizontal format)

• Frame count: 73 frames per clip

• For optimal results, maintain these specifications during inference

This LoRA works best when you provide detailed descriptions of both the subject and the surrounding environment while following the prescribed format.

Screenshot shows my typical inference testing setup for lora evals: