Python

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 Glossary :  https://docs.python.org/3/glossary.html#glossary Tutorial :  https://docs.python.org/3/tutorial/index.html Python 13 What's new :  https://docs.python.org/3.13/whatsnew/3.13.html Python Standard Library :  https://docs.python.org/3.13/library/index.html The Python Language Reference :  https://docs.python.org/3.13/reference/index.html Books :  Python Distilled Automate the Boring Stuff Quick Python
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AI Video

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 AI Video Generation Models

Welcome to the Matrix





Hunyuan Video Generation





Hunyuan GPU Requirements for generating 129 frames 




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Hunyuan Video GPU Poor version by DeepBeepMeep 

  • Reduce greatly the RAM requirements and VRAM requirements
  • 5 profiles in order to able to run the model at a decent speed on a low end consumer config (32 GB of RAM and 12 VRAM) and to run it at a very good speed on a high end consumer config (48 GB of RAM and 24 GB of VRAM)
  • Support multiple pretrained Loras with 32 GB of RAM or less
  • Switch easily between Hunyuan and Fast Hunyuan models and quantized / non quantized models
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Wan 2.1 Video Generation


  • 👍 SOTA Performance: Wan2.1 consistently outperforms existing open-source models and state-of-the-art commercial solutions across multiple benchmarks.
  • 👍 Supports Consumer-grade GPUs: The T2V-1.3B model requires only 8.19 GB VRAM, making it compatible with almost all consumer-grade GPUs. It can generate a 5-second 480P video on an RTX 4090 in about 4 minutes (without optimization techniques like quantization). Its performance is even comparable to some closed-source models.
  • 👍 Multiple Tasks: Wan2.1 excels in Text-to-Video, Image-to-Video, Video Editing, Text-to-Image, and Video-to-Audio, advancing the field of video generation.
  • 👍 Visual Text Generation: Wan2.1 is the first video model capable of generating both Chinese and English text, featuring robust text generation that enhances its practical applications.
  • 👍 Powerful Video VAE: Wan-VAE delivers exceptional efficiency and performance, encoding and decoding 1080P videos of any length while preserving temporal information, making it an ideal foundation for video and image generation.

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Reconstructing Humans with a
Biomechanically Accurate Skeleton          




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AnimeGamer: Infinite Anime Life Simulation with Next Game State Prediction

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SkyReels-A2: Compose Anything in Video Diffusion Transformers


Give reference images + text prompt to get video






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Bytedance : DreamActor-M1: Holistic, Expressive and Robust Human Image Animation with Hybrid Guidance



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Alibaba VACE













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Meta - MoCha
Towards Movie-Grade Talking Character Synthesis 

















This isn't real?










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