── POPULAR TAGS ──
#python (663)
#typescript (611)
#cli (559)
#hacktoberfest (494)
#cli-tool (491)
#react (482)
#javascript (449)
#rust (419)
#cross-platform (390)
#go (373)
#devops (316)
#ai (306)
#nodejs (299)
#llm (296)
#golang (288)
#android (271)
#open-source (255)
#docker (248)
#machine-learning (221)
#java (217)
#plugin-system (216)
#monorepo (213)
#security (213)
#self-hosted (209)
#linux (207)
#mcp (205)
#awesome-list (197)
#plugin-architecture (196)
#ai-agents (188)
#deep-learning (187)
Bernini is a unified framework for video and image generation and editing that integrates a multimodal large language model (MLLM) for semantic planning with a diffusion transformer (DiT) for rendering. It supports tasks including text-to-image, image-to-image, text-to-video, video-to-video, reference-to-video, and reference-video-to-video. The architecture features modular pipelines for both full (with MLLM) and renderer-only modes, leveraging the VeOmni framework for distributed training and inference via Ulysses sequence parallelism. Key components include custom attention backend selection, flow matching scheduler, and utilities for weight loading and data processing.
RATING:
MAINT: active
DRIFT: medium
▸ 4 reusable components found
── end of results ──