From 843b2b64fcd41be4a9e934ba83a3a499c7aff5c0 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Mon, 12 Sep 2022 18:40:06 +0300
Subject:  Instance of CUDA out of memory on a low-res batch, even with
 --opt-split-attention-v1 (found cause) #255

---
 modules/shared.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

(limited to 'modules/shared.py')

diff --git a/modules/shared.py b/modules/shared.py
index afee573b..ea1c879b 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -30,7 +30,7 @@ parser.add_argument("--allow-code", action='store_true', help="allow custom scri
 parser.add_argument("--medvram", action='store_true', help="enable stable diffusion model optimizations for sacrificing a little speed for low VRM usage")
 parser.add_argument("--lowvram", action='store_true', help="enable stable diffusion model optimizations for sacrificing a lot of speed for very low VRM usage")
 parser.add_argument("--always-batch-cond-uncond", action='store_true', help="a workaround test; may help with speed if you use --lowvram")
-parser.add_argument("--unload-gfpgan", action='store_true', help="unload GFPGAN every time after processing images. Warning: seems to cause memory leaks")
+parser.add_argument("--unload-gfpgan", action='store_true', help="does not do anything.")
 parser.add_argument("--precision", type=str, help="evaluate at this precision", choices=["full", "autocast"], default="autocast")
 parser.add_argument("--share", action='store_true', help="use share=True for gradio and make the UI accessible through their site (doesn't work for me but you might have better luck)")
 parser.add_argument("--esrgan-models-path", type=str, help="path to directory with ESRGAN models", default=os.path.join(script_path, 'ESRGAN'))
@@ -133,6 +133,7 @@ class Options:
         "face_restoration_model": OptionInfo(None, "Face restoration model", gr.Radio, lambda: {"choices": [x.name() for x in face_restorers]}),
         "code_former_weight": OptionInfo(0.5, "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect", gr.Slider, {"minimum": 0, "maximum": 1, "step": 0.01}),
         "save_images_before_face_restoration": OptionInfo(False, "Save a copy of image before doing face restoration."),
+        "face_restoration_unload": OptionInfo(False, "Move face restoration model from VRAM into RAM after processing"),
         "interrogate_keep_models_in_memory": OptionInfo(False, "Interrogate: keep models in VRAM"),
         "interrogate_use_builtin_artists": OptionInfo(True, "Interrogate: use artists from artists.csv"),
         "interrogate_clip_num_beams": OptionInfo(1, "Interrogate: num_beams for BLIP", gr.Slider, {"minimum": 1, "maximum": 16, "step": 1}),
-- 
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