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Alpha-VLLM/Lumina-Video

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Lumina Video

Features

  • Video Generation - Efficient video generation with multi-scale transformers.

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Häufig gestellte Fragen

Was sind die Hauptfunktionen von alpha-vllm/lumina-video?

Die Hauptfunktionen von alpha-vllm/lumina-video sind: Video Generation.

Welche Open-Source-Alternativen gibt es zu alpha-vllm/lumina-video?

Open-Source-Alternativen zu alpha-vllm/lumina-video sind unter anderem: ailab-cvc/videocrafter — Videocrafter is a latent diffusion model designed for AI video synthesis. It functions as both a text-to-video and… aim-uofa/gendef. ali-vilab/vace — VACE is a set of software tools and frameworks for reference-guided video generation, diffusion-based editing, and… alibaba/animate-anything. alpha-vllm/lumina-t2x — Lumina-T2X is a unified framework for Text to Any Modality Generation. ai-forever/kandinskyvideo.

Open-Source-Alternativen zu Lumina Video

Ähnliche Open-Source-Projekte, sortiert nach der Anzahl der gemeinsamen Funktionen mit Lumina Video.
  • ailab-cvc/videocrafterAvatar von ailab-cvc

    ailab-cvc/videocrafter

    5,063Auf GitHub ansehen↗

    Videocrafter is a latent diffusion model designed for AI video synthesis. It functions as both a text-to-video and image-to-video generation system, synthesizing high-quality video sequences from descriptive text prompts or static image inputs. The model utilizes a diffusion-based neural network to transform inputs into animated content, ensuring visual consistency and temporal coherence throughout the generated sequences. This allows for the creation of custom video clips and the animation of static images into fluid motion.

    Python
    Auf GitHub ansehen↗5,063
  • aim-uofa/gendefA

    aim-uofa/GenDeF

    0Auf GitHub ansehen↗
    Auf GitHub ansehen↗0
  • ali-vilab/vaceAvatar von ali-vilab

    ali-vilab/VACE

    3,645Auf GitHub ansehen↗

    VACE is a set of software tools and frameworks for reference-guided video generation, diffusion-based editing, and video-to-video translation. It provides utilities to produce new video content and modify existing sequences by using reference materials to guide visual style, subject matter, and composition. The framework enables video-to-video translation and synthesis, allowing for the update of visual styles and depth. It also functions as a video editor for modifying properties and content through reference-guided transformations. The system covers localized video editing and inpainting,

    Pythonvideo-editingvideo-generation
    Auf GitHub ansehen↗3,645
  • ai-forever/kandinskyvideoA

    ai-forever/KandinskyVideo

    0Auf GitHub ansehen↗
    Auf GitHub ansehen↗0
Alle 30 Alternativen zu Lumina Video anzeigen→