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AnimateDiff with VideoEraser

VideoEraser integration with AnimateDiff for concept erasure in animated video generation.

Quick Start

Minimal Example

python scripts/animate.py \
    --prompt "A man running under starry night by Van Gogh." \
    --erased-concept "Van Gogh" \
    --output-dir ./my_videos \
    --seed 42

Note: --pretrained-model-path has a default value (models/stable-diffusion-v1-5), so it can be omitted if using the default model.

With Custom Settings

python scripts/animate.py \
    --pretrained-model-path models/stable-diffusion-v1-5 \
    --prompt "A man running under starry night by Van Gogh." \
    --erased-concept "Van Gogh" \
    --negative-prompt "blurry, low quality" \
    --output-dir ./outputs \
    --seed 42 \
    --W 512 \
    --H 512 \
    --L 16

Parameters:

  • --pretrained-model-path: Path to pretrained Stable Diffusion model (default: models/stable-diffusion-v1-5)
  • --prompt: Text prompt for video generation (required if not using config file)
  • --erased-concept: Concept to erase from generation (required if not using config file)
  • --output-dir: Output directory for generated videos (default: samples/{config}-{timestamp})
  • --seed: Random seed for reproducibility
  • --W, --H: Video width and height (default: 512)
  • --L: Video length in frames (default: 16)
  • --negative-prompt: Negative prompt to condition against