[docs] Update docs and README

[SolitaryThinker]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @SolitaryThinker, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly updates and expands the project's documentation. It introduces a clear overview of supported models and their applications directly in the main README, alongside a new, in-depth guide to various training and distillation recipes. These changes aim to improve user onboarding and provide clearer pathways for utilizing FastVideo's capabilities, with corresponding updates to the documentation navigation structure.

Highlights

• README.md Update: Enhanced the main README with detailed tables for "Model Coverage," categorizing models by Inference, Training, and Distillation, and linking to specific examples.
• New Training Recipes Guide: Introduced docs/training/training_recipes.md to provide a comprehensive overview of finetuning and distillation methods, complete with quick start instructions.
• Self-Forcing Distillation Docs: Added new READMEs for SFWan2.1 T2V and SFWan2.2 A14B distillation examples, detailing their setup and execution.
• Documentation Navigation Update: Modified mkdocs.yml to integrate the new training recipes guide and streamline the navigation for inference and training examples.

🧠 New Feature in Public Preview: You can now enable Memory to help Gemini Code Assist learn from your team's feedback. This makes future code reviews more consistent and personalized to your project's style. Click here to enable Memory in your admin console.

Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature	Command	Description
Code Review	/gemini review	Performs a code review for the current pull request in its current state.
Pull Request Summary	/gemini summary	Provides a summary of the current pull request in its current state.
Comment	@gemini-code-assist	Responds in comments when explicitly tagged, both in pull request comments and review comments.
Help	/gemini help	Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here.

You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

Footnotes

1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩

[gemini-code-assist]

Code Review

This pull request updates the documentation by adding a model coverage section to the main README and introducing a new training_recipes.md page. The changes improve the project's documentation and user guidance. I've found a few minor issues: a small HTML formatting error in the README and some inconsistencies in script names and commands within the new training recipes guide. Addressing these will enhance clarity and prevent potential user confusion. Please see my detailed comments for suggestions.

[gemini-code-assist]

There's a minor HTML syntax error in the "Online Demo" link. The <b> tag is incorrectly placed, which may cause rendering issues in some markdown parsers. It should be placed inside the <a> tag to ensure the text is both a link and bolded.

Suggested change

| 🕹️ <a href="https://fastwan.fastvideo.org/"<b>Online Demo</b></a> | <a href="https://hao-ai-lab.github.io/FastVideo"><b>Documentation</b></a> | <a href="https://hao-ai-lab.github.io/FastVideo/inference/inference_quick_start/"><b> Quick Start</b></a> | 🤗 <a href="https://huggingface.co/collections/FastVideo/fastwan-6886a305d9799c8cd1496408" target="_blank"><b>FastWan</b></a> | 🟣💬 <a href="https://join.slack.com/t/fastvideo/shared_invite/zt-3f4lao1uq-u~Ipx6Lt4J27AlD2y~IdLQ" target="_blank"> <b>Slack</b> </a> | 🟣💬 <a href="https://ibb.co/c7g1qdD" target="_blank"> <b> WeChat </b> </a> |

| 🕹️ <a href="https://fastwan.fastvideo.org/"><b>Online Demo</b></a> | <a href="https://hao-ai-lab.github.io/FastVideo"><b>Documentation</b></a> | <a href="https://hao-ai-lab.github.io/FastVideo/inference/inference_quick_start/"><b> Quick Start</b></a> | 🤗 <a href="https://huggingface.co/collections/FastVideo/fastwan-6886a305d9799c8cd1496408" target="_blank"><b>FastWan</b></a> | 🟣💬 <a href="https://join.slack.com/t/fastvideo/shared_invite/zt-3f4lao1uq-u~Ipx6Lt4J27AlD2y~IdLQ" target="_blank"> <b>Slack</b> </a> | 🟣💬 <a href="https://ibb.co/c7g1qdD" target="_blank"> <b> WeChat </b> </a> |

[gemini-code-assist]

The script names for bidirectional distillation appear to be inconsistent with the main distillation documentation in docs/distillation/dmd.md. For the Wan2.1 1.3B model, dmd.md refers to distill_dmd_VSA_t2v_1.3B.slurm and does not seem to mention a separate DMD-only slurm script. This discrepancy could be confusing for users. Please verify and align the script names with the available recipes to ensure the documentation is accurate.

[gemini-code-assist]

The command to run the distillation script for SFWan2.2 A14B should probably use sbatch instead of bash. The script distill_dmd.sh contains #SBATCH directives for SLURM, and the corresponding README.md in examples/distill/SFWan2.2-A14B/ also uses sbatch. Using bash would execute the script directly on the login node, ignoring the cluster resource allocation settings.

Suggested change

	- SFWan2.2 A14B: `bash examples/distill/SFWan2.2-A14B/distill_dmd.sh`
	- SFWan2.2 A14B: `sbatch examples/distill/SFWan2.2-A14B/distill_dmd.sh`