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How to render a first-person walkthrough MP4 from one image with Helix World

Run the Preview v1 pipeline on a first-frame image to get a clean MP4 with motion-driven video and sound.

  • Top pick
  • Content
  • Advanced
  • 2 hours
  • From the README
  • Any agent

Who it is forA creative developer or researcher with a 80 GB NVIDIA GPU who wants a short interactive-style clip generated from a single still image and a movement script.

The problemTurning one still image into a moving first-person scene with matching sound usually means stitching video and audio tools by hand, and the audio often does not follow the camera.

The outcomeAn MP4 in the output directory showing the scene moving through the requested action sequence, with audio generated alongside the picture.

What you need first

  • Linux with Python 3.11 and CUDA 12.x
  • NVIDIA GPU, 80 GB VRAM recommended (a reviewed BF16 single-GPU run uses about 70 GB)
  • System ffmpeg and ffprobe installed
  • A first-frame image file (PNG) and a text prompt
  • Access to Hugging Face to download the Preview v1 model files

Steps

  1. git clone https://github.com/NoizAI/HelixWorld.git
  2. cd HelixWorld
  3. conda create -n helixworld-preview python=3.11 -y
  4. conda activate helixworld-preview
  5. python -m pip install -r requirements.txt then python download_models.py
  6. CUDA_VISIBLE_DEVICES=0 ./run.sh --image /path/to/first_frame.png --prompt-file examples/prompt.json --actions "W:5,right:5,stop:5" --perspective first_person --num-frames 121 --output-dir outputs/demo (inferred, check the README)

Prompt for your agent

In the HelixWorld repo (NoizAI/HelixWorld), set up the Preview v1 environment as described in the README, then run ./run.sh with --image <path to first-frame PNG> and --output-dir outputs/demo. Expect a clean MP4 under outputs/demo, and verify that the file exists and that ffprobe reports a video stream and an audio stream.

Caveat. The README recommends 80 GB of VRAM and a BF16 run uses about 70 GB, so smaller GPUs may fail; download size is not stated in the README.

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