fix: prioritize VRAM over RAM in Colab, preventing out of memory issu…

…es (#1710)

* colab: balance the use of RAM

enables the use of VRAM memory so as not to saturate the system RAM

* feat: use --always-high-vram by default for Colab, adjust readme

---------

Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>

fooocus_colab.ipynb

@@ -12,7 +12,7 @@
     "%cd /content\n",
     "!git clone https://github.com/lllyasviel/Fooocus.git\n",
     "%cd /content/Fooocus\n",
-    "!python entry_with_update.py --share\n"
+    "!python entry_with_update.py --share --always-high-vram\n"
    ]
   }
  ],

readme.md

@@ -115,16 +115,18 @@ See also the common problems and troubleshoots [here](troubleshoot.md).
 
 ### Colab
 
-(Last tested - 2023 Dec 12)
+(Last tested - 2024 Mar 11)
 
 | Colab | Info
 | --- | --- |
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/lllyasviel/Fooocus/blob/main/fooocus_colab.ipynb) | Fooocus Official
 
-In Colab, you can modify the last line to `!python entry_with_update.py --share` or `!python entry_with_update.py --preset anime --share` or `!python entry_with_update.py --preset realistic --share` for Fooocus Default/Anime/Realistic Edition.
+In Colab, you can modify the last line to `!python entry_with_update.py --share --always-high-vram` or `!python entry_with_update.py --share --always-high-vram --preset anime` or `!python entry_with_update.py --share --always-high-vram --preset realistic` for Fooocus Default/Anime/Realistic Edition.
 
 Note that this Colab will disable refiner by default because Colab free's resources are relatively limited (and some "big" features like image prompt may cause free-tier Colab to disconnect). We make sure that basic text-to-image is always working on free-tier Colab.
 
+Using `--always-high-vram` shifts resource allocation from RAM to VRAM and achieves the overall best balance between performance, flexibility and stability on the default T4 instance.
+
 Thanks to [camenduru](https://github.com/camenduru)!
 
 ### Linux (Using Anaconda)