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MEGAN VIDEO
MEGAN VIDEO is an experimental open video-generation system.
Planned capabilities
- Text-to-video
- Image-to-video
- Video-to-video
- Video editing
- Motion control
- Character consistency
- Scene consistency
- Anime generation
- Photorealistic generation
- Toon/cartoon generation
- Cinematic generation
- 720p generation
- 1080p generation
- Long-form video generation
Training strategy
MEGAN VIDEO is developed progressively.
Initial development targets short clips and efficient training.
Later stages introduce:
- Better temporal modeling
- Image-to-video conditioning
- Video editing
- Character memory
- Scene memory
- Spatial upscaling
- Temporal upscaling
- Long-form scene generation
Checkpoint strategy
Training checkpoints are synchronized with Hugging Face so Colab sessions can be terminated and resumed.
Hardware
Initial development target:
- Google Colab
- NVIDIA T4
- FP16
- Gradient checkpointing
- Small training resolution
Ownership
Model weights, code and training artifacts are maintained under the MEGAN project namespace.
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