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tdrussell avatar

tdrussell/diffusion-pipe

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Diffusion Pipe

A pipeline parallel training script for diffusion models.

Features

  • Video Generation - Pipeline for efficient video diffusion training.

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  • Video Training Tools - Pipeline for training diffusion-based video models.
  • 1,976 stars·278 forks·Python·GPL-3.0·17 views

    Star history

    Star history chart for tdrussell/diffusion-pipeStar history chart for tdrussell/diffusion-pipe

    How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

    Projects sharing features with Diffusion Pipe

    These projects share indexed features with Diffusion Pipe. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
    • hao-ai-lab/fastvideohao-ai-lab avatar

      hao-ai-lab/FastVideo

      4,792View on GitHub↗

      FastVideo is a comprehensive system for accelerated video generation, serving as a video generation inference engine, a video diffusion training framework, and a modular pipeline orchestrator. It provides a distributed transformer optimizer and a distillation toolkit designed to reduce denoising steps and model complexity to increase frame rates. The project distinguishes itself through specialized acceleration techniques, including joint distillation and sparse attention training. It implements low-step video generation and weight quantization to FP8 or FP4 precision to increase throughput a

      Pythondiffusersdiffusion-modelsdistillation
      View on GitHub↗4,792
    • huggingface/diffusershuggingface avatar

      huggingface/diffusers

      34,886View on GitHub↗

      Diffusers is a PyTorch-based library and generative AI framework used to build, train, and deploy diffusion pipelines for producing multi-modal media. It provides a suite of tools for generating images, video, and audio from natural language descriptions, as well as specialized systems for text-to-image generation. The project differentiates itself through a modular architecture that separates noise schedulers, pretrained model blocks, and pipeline compositions. This structure allows for the construction of custom generation workflows and the ability to swap individual components of the diffu

      Pythondeep-learningdiffusionflux
      View on GitHub↗34,886
    • bghira/simpletunerbghira avatar

      bghira/SimpleTuner

      2,862View on GitHub↗

      A general fine-tuning kit geared toward image/video/audio diffusion models.

      Pythondiffusersdiffusion-modelsfine-tuning
      View on GitHub↗2,862
    • kohya-ss/musubi-tunerkohya-ss avatar

      kohya-ss/musubi-tuner

      1,701View on GitHub↗
      Python
      View on GitHub↗1,701
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    Frequently asked questions

    What does tdrussell/diffusion-pipe do?

    A pipeline parallel training script for diffusion models.

    What are the main features of tdrussell/diffusion-pipe?

    The main features of tdrussell/diffusion-pipe are: Video Generation, Video Training Tools.

    Which projects share features with tdrussell/diffusion-pipe?

    Projects with overlapping indexed features include: huggingface/diffusers — Diffusers is a PyTorch-based library and generative AI framework used to build, train, and deploy diffusion pipelines… modelscope/diffsynth-studio — DiffSynth-Studio is a comprehensive platform for the lifecycle management of generative diffusion models, providing a… bghira/simpletuner — A general fine-tuning kit geared toward image/video/audio diffusion models. hao-ai-lab/fastvideo — FastVideo is a comprehensive system for accelerated video generation, serving as a video generation inference engine,… kohya-ss/musubi-tuner. shengshu-ai/minwm — A Minimal and Elegant Framework & Tutorial for Real-Time Interactive World Models.