Surviving AI - Short film made only using local ai models

An independent filmmaker has demonstrated the rapidly advancing capabilities of local, open-source AI by creating a complete narrative short film titled 'Surviving AI' entirely on a personal computer. The creator, known online as u/LocalAI_Amateur, bypassed commercial cloud services like OpenAI's Sora or Runway ML, instead using a stack of community models including LTX 2.3 and Wan 2.2 for video generation, Flux2 Klein 9B for images, and Qwen3 TTS for voice synthesis. The technical workflow involved generating 3-5 second video clips at a low resolution of 768x640 using ComfyUI, which took approximately 3-5 minutes per clip on an NVIDIA RTX 5070 Ti GPU with 16GB of VRAM. The clips were then edited together using the free software Shotcut, with audio handled in Audacity and final upscaling performed using the SeedVR2 tool to enhance the final output's visual quality.

The project is a significant proof-of-concept for decentralized creative work, proving that compelling AI-generated content is no longer exclusive to well-funded studios or those with access to premium API services. By detailing the exact models and tools—such as Pinokio for workflow management and GIMP for image editing—the creator has provided a viable blueprint for other indie artists. This approach highlights a shift towards democratized media production, where the barrier to entry is lowering from expensive cloud credits to a one-time hardware investment. The film's existence challenges the narrative that high-quality AI video is gatekept by large corporations, pointing towards a future where personalized, locally-run AI models empower a new wave of digital storytellers.