Code & Development · GitHub ·61 ★

AwesomeMultiModel

【AIGC 实战入门笔记 —— AIGC 摩天大楼】分享 大语言模型（LLMs），大模型高效微调（SFT）,检索增强生成（RAG），智能体（Agent），PPT自动生成, 角色扮演，文生图（Stable Diffusion） ，图像文字识别（OCR），语音识别（ASR），语音合成（TTS），人像分割（SA），多模态（VLM），Ai 换脸(Face Swapping), 文生视频(VD)，图生视频（SVD），Ai 动作迁移，Ai 虚拟试衣，数字人，全模态理解（Omni），Ai音乐生成 干货学习 等 实战与经验。

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Details

Author
km1994
Category
Code & Development
Platform
GitHub
Framework
custom
Language
unknown
Stars
61
First indexed
2026-05-15
Last active
2025-04-26
Directory sync
2026-05-15
@km1994

Overview

【AIGC 实战入门笔记 —— AIGC 摩天大楼】分享 大语言模型（LLMs），大模型高效微调（SFT）,检索增强生成（RAG），智能体（Agent），PPT自动生成, 角色扮演，文生图（Stable Diffusion） ，图像文字识别（OCR），语音识别（ASR），语音合成（TTS），人像分割（SA），多模态（VLM），Ai 换脸(Face Swapping), 文生视频(VD)，图生视频（SVD），Ai 动作迁移，Ai 虚拟试衣，数字人，全模态理解（Omni），Ai音乐生成 干货学习 等 实战与经验。

Quick start

git

git clone https://github.com/km1994/AwesomeMultiModel

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What AwesomeMultiModel can do

sqlfine-tunragdiffusionstable
  • Sql — sql task automation.
  • Fine Tun — fine-tun task automation.
  • Rag — Retrieves grounded context before answering.
  • Diffusion — diffusion task automation.
  • Stable — stable task automation.

Frequently asked questions

What is AwesomeMultiModel?
【AIGC 实战入门笔记 —— AIGC 摩天大楼】分享 大语言模型（LLMs），大模型高效微调（SFT）,检索增强生成（RAG），智能体（Agent），PPT自动生成, 角色扮演，文生图（Stable Diffusion） ，图像文字识别（OCR），语音识别（ASR），语音合成（TTS），人像分割（SA），多模态（VLM），Ai 换脸(Face Swapping), 文生视频(VD)，图生视频（SVD），Ai 动作迁移，Ai 虚拟试衣，数字人，全模态理解（Omni），Ai音乐生成 干货学习 等 实战与经验。
How do I install AwesomeMultiModel?
Use git: `git clone https://github.com/km1994/AwesomeMultiModel`. Full setup details on the source page linked above.
Is AwesomeMultiModel open source?
AwesomeMultiModel is published on GitHub.
What are alternatives to AwesomeMultiModel?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for AwesomeMultiModel is sourced from GitHub, published by km1994.

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