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POV Driving

Developed by Remade-AI
LoRA trained on Wan2.1 14B T2V model for generating first-person driving videos in any scenario
Text-to-Video EnglishOpen Source License:Apache-2.0#First-person driving video generation#LoRA low-rank adaptation#Multi-scenario driving simulation
Downloads 61
Release Time : 3/27/2025

Model Overview

This LoRA model is specifically designed for generating first-person driving perspective videos, supporting diverse scene rendering including special environments like hell, desert, city streets, and lunar surfaces. Highly consistent driving scene videos can be generated through text prompts.

Model Features

Multi-scene consistency
Maintains visual element consistency across different objects and scene types
Flexible prompt control
Precise control of scene elements through standardized prompt templates
Plug-and-play adaptation
Provided in LoRA format for quick integration into existing diffusion model workflows

Model Capabilities

Text-to-video generation
First-person perspective generation
Dynamic scene rendering
Multi-environment adaptation (hell/desert/space etc.)

Use Cases

Film pre-visualization
Disaster scene rehearsal
Generate driving footage in extreme environments for storyboard design
example_videos/pov1.mp4 (hell scene)
Game development
Racing game scene generation
Quickly generate driving perspective materials for different track environments
example_videos/pov3.mp4 (city night scene)
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