TommyZihao / StoryBook_Bedrock
基于Amazon Bedrock的多模态AIGC童话绘本
☆18Updated last year
Alternatives and similar repositories for StoryBook_Bedrock:
Users that are interested in StoryBook_Bedrock are comparing it to the libraries listed below
- Music large model based on InternLM2-chat.☆22Updated 3 months ago
- 集成了LLM与SDXL的AIGC应用程序☆27Updated last year
- Awesome Colab Projects Collection☆26Updated last year
- A Simple MLLM Surpassed QwenVL-Max with OpenSource Data Only in 14B LLM.☆37Updated 6 months ago
- ☆27Updated 10 months ago
- 一个面向小白的大模型应用开发课程☆57Updated last year
- 通过此代码可以免训练模型并通过轻量级服务器定制数字人形象☆103Updated last year
- A Multi-modal RAG Project with Dataset from Honor of Kings, one of the most popular smart phone games in China☆63Updated 7 months ago
- ☆19Updated 2 years ago
- 可以成功Lora微调的Qwen-VL模型☆18Updated last year
- ☆60Updated last year
- ☆103Updated last year
- ☆51Updated 7 months ago
- 基于 LoRA 和 P-Tuning v2 的 ChatGLM-6B 高效参数微调☆55Updated last year
- ATEC2023——赛道一: 大模型的知识引入Rank7方案分享☆21Updated 5 months ago
- Datawhale论文分享,阅读前沿论文,分享技术创新☆44Updated last year
- baichuan and baichuan2 finetuning and alpaca finetuning☆32Updated 3 weeks ago
- Our 2nd-gen LMM☆33Updated 10 months ago
- ☆26Updated 5 months ago
- 实现基于4k视频的高分辨率人物换衣、虚拟试穿、物品替换☆54Updated 2 years ago
- 基于《西游记》原文、白话文、ChatGPT生成数据制作的,以InternLM2微调的角色扮演多LLM聊天室。 本项目将介绍关于角色扮演类 LLM 的一切,从数据获取、数据处理,到使用 XTuner 微调并部署至 OpenXLab,再到使用 LMDeploy 部署,以 op…☆99Updated last year
- LLaVA combines with Magvit Image tokenizer, training MLLM without an Vision Encoder. Unifying image understanding and generation.☆35Updated 9 months ago
- We hope to train VLM to be a beauty master to help you solve the problem of dressing and beauty.☆19Updated 4 months ago
- 使用甄嬛语料微调的chatglm☆84Updated last year
- Finetune Llama 3, Mistral & Gemma LLMs 2-5x faster with 80% less memory☆28Updated 10 months ago
- Follow the rapid development of AIGC models and applications. | 跟上AIGC 模型和应用快速发展的步伐 🚀☆81Updated last year
- ☆50Updated last year
- GLM Series Edge Models☆131Updated last month
- [CICAI 2023] The official codes for "Ivygpt: Interactive chinese pathway language model in medical domain"☆59Updated 6 months ago
- 最简易的R1结果在小模型上的复现,阐述类O1与DeepSeek R1最重要的本质。Think is all your need。利用实验佐证,对于强推理能力,think思考过程性内容是AGI/ASI的核心。☆40Updated last month