workaround #2 for GFPGAN facexlib() weights downloading

environments-and-requirements/requirements-base.txt

@@ -35,6 +35,6 @@ torchmetrics
 transformers==4.25.*
 https://github.com/Birch-san/k-diffusion/archive/refs/heads/mps.zip#egg=k-diffusion
 https://github.com/invoke-ai/PyPatchMatch/archive/refs/tags/0.1.5.zip#egg=pypatchmatch
-https://github.com/invoke-ai/GFPGAN/archive/refs/heads/master.zip#egg=gfpgan
+# https://github.com/invoke-ai/GFPGAN/archive/refs/heads/master.zip#egg=gfpgan
 https://github.com/openai/CLIP/archive/eaa22acb90a5876642d0507623e859909230a52d.zip#egg=clip
 https://github.com/invoke-ai/clipseg/archive/relaxed-python-requirement.zip#egg=clipseg

ldm/invoke/restoration/gfpgan.py

@@ -33,6 +33,8 @@ class GFPGAN():
         with warnings.catch_warnings():
             warnings.filterwarnings('ignore', category=DeprecationWarning)
             warnings.filterwarnings('ignore', category=UserWarning)
+            cwd = os.getcwd()
+            os.chdir(os.path.join(Globals.root,'models'))
             try:
                 from gfpgan import GFPGANer
                 self.gfpgan = GFPGANer(
@@ -46,6 +48,7 @@ class GFPGAN():
                 import traceback
                 print('>> Error loading GFPGAN:', file=sys.stderr)
                 print(traceback.format_exc(), file=sys.stderr)
+            os.chdir(cwd)
 
         if self.gfpgan is None:
             print(