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# Key Feature
- **High-Quality Output**: Generate detailed 6-second videos at 15 FPS with 720x1280 resolution, which can be interpolated to 30 FPS with EMA-VFI.
- **Small and Efficient**: Features a 175M parameter VAE and a 2.8B parameter DiT model. Supports multiple precisions (FP32, BF16, FP16) and uses 9.3 GB of GPU memory in BF16 mode with CPU offloading.
- **Extensive Context Length**: Handles up to 79.2k tokens, providing rich and comprehensive text-to-video generation capabilities.
- **Versatile Content Creation**: Capable of generating a wide range of content, from close-ups of humans and animals to diverse dynamic scenes.
- **Open Source**: [Full model weights](https://huggingface.co/rhymes-ai/Allegro) and [code](https://github.com/rhymes-ai/Allegro) available to the community, Apache 2.0!
- **Versatile Content Creation**: Capable of generating a wide range of content, from close-ups of humans and animals to diverse dynamic scenes.
- **High-Quality Output**: Generate detailed 6-second videos at 15 FPS with 720x1280 resolution, can be interpolated to 30 FPS with [EMA-VFI](https://github.com/MCG-NJU/EMA-VFI).
- **Small and Efficient**: Features a 175M parameter VideoVAE and a 2.8B parameter VideoDiT model. Supports multiple precisions (FP32, BF16, FP16) and uses 9.3 GB of GPU memory in BF16 mode with CPU offloading. Context length is 79.2k, equivalent to 88 frames.
# Model info