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KXSR Cinematic Chase Concept WAN 14B + 1.3B T2V

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309
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Updated: Mar 22, 2025
conceptvehiclesmotionchase
Verified:
SafeTensor
Type
LoRA
Stats
149
0
Reviews
Published
Mar 20, 2025
Base Model
Wan Video
Training
Steps: 1,100
Epochs: 7
Usage Tips
Strength: 1
Trigger Words
kxsr
Hash
AutoV2
467232963A
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Kytra

KXSR Cinematic Chase 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 sequences featuring characters and imaginative scenery with fast-paced high-octane 'vehicle' chase scene action. The typical view will be from a near-isometric 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, [describe the vehicle] [ACTION-VERB HERE: rides/drives/speeds/drifts/etc] quickly, [describe the driver/characters/scene/environment of the world and other actions happening around them]

Example Prompts

kxsr, A futuristic car, resembling a DeLorean with neon accents, drives quickly through a desert landscape with planets in the sky. The driver wears VR goggles. The car transitions to a convertible, passes a green screen, and eventually floats over a lake with neon rings, showcasing a blend of futuristic and surreal elements.

=======================================

kxsr, A vintage army jeep with two soldiers driving quickly through a flower-filled field. The driver is shooting at a dragonfly with a rider on it. Bullets fly as the dragonfly evades. The house in the background is surrounded by a garden of flowers. 
  • CFG: 5.0

  • Shift value: 4.0

  • LoRA strength: 1.0

  • ~73 frames

  • 720x1280 horizontal aspect ratio

Technical Details

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

  • Training dataset: 98 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: