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Doc update for latest features #2192
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…command-line options for gen_img.py
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Pull Request Overview
This pull request organizes and expands the documentation structure by adding comprehensive guides for various training features. The documentation has been reorganized from the main README into dedicated markdown files covering specific training topics and features.
- Creates dedicated documentation files for different training aspects (validation, fine-tuning, textual inversion, etc.)
- Adds detailed guides for specific model architectures (FLUX.1, SD3, SDXL, Lumina)
- Removes redundant content from the main README and provides organized reference structure
Reviewed Changes
Copilot reviewed 10 out of 10 changed files in this pull request and generated 3 comments.
Show a summary per file
File | Description |
---|---|
docs/validation.md | New comprehensive guide for validation loss functionality with English and Japanese sections |
docs/train_textual_inversion.md | New detailed guide for Textual Inversion training with examples and troubleshooting |
docs/train_network_advanced.md | Removes status markers and adds new advanced training options |
docs/sd3_train_network.md | Removes status markers and adds extensive LoRA target module documentation |
docs/lumina_train_network.md | Adds new training options for Sage Attention and sample batch size |
docs/gen_img_README.md | Expands image generation documentation with SDXL options and new features |
docs/gen_img_README-ja.md | Japanese version updates matching the English documentation changes |
docs/flux_train_network.md | Adds additional training options and loss function configuration |
docs/fine_tune.md | New comprehensive guide comparing fine-tuning vs LoRA training |
README.md | Restructures documentation by moving content to dedicated files and updating recent updates |
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Some documents still need to be fixed, but we will merge this before HunyuanImage-2.1. |
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