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MEGAN-VIDEO
42savage/MEGAN-VIDEO
MEGAN-VIDEO is a machine learning model from 42savage. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
MEGAN VIDEO is an experimental open video-generation system.
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Public
Updated Sep 27, 2026
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At a glance
- Access
- Public
- Created
- Sep 8, 2026
- Updated
- Sep 27, 2026
- SHA
- c46b0657
Model card
From the Hugging Face model README
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.
- Created
- Sep 8, 2026
- Updated
- Sep 27, 2026