Generative AI
  • 序言
  • Chapter 1 Engine for GenAI
    • 1.1 Basic Concepts
    • 1.2 Install Ollama
    • 1.3 Model Download
    • 1.4 Local Installation of Dify
    • 1.5 Quickly Build Applications with Dify and Ollama
    • 1.6 Additional Information
  • Chapter 2 TTS model Inference Fine-tuning
    • 2.1 Basic Concepts
    • 2.2 Introduction to GPT-SoVIST
    • 2.3 Deploying and Preprocessing the Model
    • 2.3 Processing the Training Dataset.
    • 2.4 Model Dataset Formatting
    • 2.5 Model Fine-Tuned Training
    • 2.6 Model Inference
    • 2.7 Additional Information
  • Chapter 4 SD Model Inference
    • 4.1 Stable diffusion install
    • 4.2 SD good Practices
    • 4.3 Kohya install
    • 4.4 Dataset Formatting
    • 4.5 Set standard Parameters
    • 4.7 training
    • 4.8 Validate models
    • 4.10 Basic Concepts
    • 4.11 Prompt
    • 4.12 Prompt plug-in and Embedding
    • 4.13 Training by SD-trainer
    • 4.14 GPU and Accelerated
    • 4.15 Learning Unet(Training parameter)
  • Chapter 5 Computer Vision Video Generation
    • 5.1 Basic concepts of computer vision
    • 5.2 Introduction to Video Generation Model-Stable video diffusion
    • 5.3 Introduction to Video Generation Model-Sora
    • 5.4 Video Generation Best Practices01
    • 5.5 Video Generation Best Practices02
    • 5.6 Video Generation Model Industry Trends
    • 5.7 Comparison of U-Net and Transformer architectures
    • 5.8 CV Toolset
    • 5.6 Video Generation Best Practices03
  • Chapter 6 AI agent (on goning)
    • 6.1Agent Basic Concepts
    • 6.2 Comparison of Workflow Engine Platforms
    • 6.3 Agent Best Practices01-Notebook LLM
    • 6.4 Agent Best Practices02-Url
    • 6.5 Agent Best Practices03-Replicate
    • 6.6 Agent Best Practices04-Thought connection
    • 6.7 Agent Best Comprehensive- music, illustration, copywriting, blogging
  • Chapter 5 Developer Series
    • 5.1 Google Developer Platform API calls
    • 5.2 AWS data service calls
    • 5.3 Cloudflare open platform call
    • 5.4 Oneinstack Configuration
    • 5.5 Huggingface cache directory
  • Conclusion
  • Appendix
    • SDXL Prompt Style
    • Model index
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  1. Appendix

Model index

本小节主要介绍的了在后续工作之中可能会遇到的常见的模型。

PreviousSDXL Prompt Style

Last updated 5 months ago

这里介绍下replicate.com，因为我们知道的对于的普通的用户可能的我们短期内是没有的能力的买到高算力的GPU 服务资源的，但是我们又想要尝试进行的自己的模型训练的，那么该怎么办呢？其实很简单的，我们可以使用一些在线的服务，这里介绍一下。

replicate.com 是一个可以提供在线模型训练，以及通过API 调用模型的服务的网站，我们可以在这里训练自己的最新的模型的，比如说现在的比较流行的FLUX 模型的。这里分享一下的实用的模型，包含3D 模型，以及的其他的模型

https://replicate.com/chatworks/luchtpods/examples

https://replicate.com/fofr/flux-macro-texture/examples

https://replicate.com/collections/3d-models

https://replicate.com/fofr/flux-macro-texture/examples

https://replicate.com/mattgeminiworktops/calacatta-flux

https://replicate.com/davisbrown/flux-future-tech

https://replicate.com/andreasjansson/stable-diffusion-animation

https://replicate.com/fofr/flux-cross-section/examples

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