Merge remote-tracking branch 'origin/main' into dev/diffusers

# Conflicts:
#	ldm/invoke/generator/inpaint.py
#	ldm/invoke/generator/txt2img2img.py

installer/install.bat.in

@@ -14,8 +14,8 @@ if "%1" == "use-cache" (
 
 @rem Config
 @rem this should be changed to the tagged release!
-set INVOKE_AI_SRC=https://github.com/invoke-ai/InvokeAI/archive/main.zip
-@rem set INVOKE_AI_SRC=https://github.com/invoke-ai/InvokeAI/archive/refs/tags/v2.2.4.zip
+@rem set INVOKE_AI_SRC=https://github.com/invoke-ai/InvokeAI/archive/main.zip
+set INVOKE_AI_SRC=https://github.com/invoke-ai/InvokeAI/archive/refs/tags/v2.2.4.zip
 set INSTRUCTIONS=https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/
 set TROUBLESHOOTING=https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/#troubleshooting
 set PYTHON_URL=https://www.python.org/downloads/windows/

installer/install.sh.in

@@ -9,8 +9,8 @@ cd "$scriptdir"
 deactivate >/dev/null 2>&1
 
 # this should be changed to the tagged release!
-INVOKE_AI_SRC=https://github.com/invoke-ai/InvokeAI/archive/main.zip
-# INVOKE_AI_SRC=https://github.com/invoke-ai/InvokeAI/archive/refs/tags/v2.2.4.zip
+# INVOKE_AI_SRC=https://github.com/invoke-ai/InvokeAI/archive/main.zip
+INVOKE_AI_SRC=https://github.com/invoke-ai/InvokeAI/archive/refs/tags/v2.2.4.zip
 INSTRUCTIONS=https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/
 TROUBLESHOOTING=https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/#troubleshooting
 MINIMUM_PYTHON_VERSION=3.9.0

ldm/generate.py

@@ -810,6 +810,7 @@ class Generate:
         if not self.generators.get('inpaint'):
             from ldm.invoke.generator.inpaint import Inpaint
             self.generators['inpaint'] = Inpaint(self.model, self.precision)
+            self.generators['inpaint'].free_gpu_mem = self.free_gpu_mem
         return self.generators['inpaint']
 
     # "omnibus" supports the runwayML custom inpainting model, which does

ldm/invoke/args.py

@@ -591,6 +591,12 @@ class Args(object):
             action='store_true',
             help='Generates debugging image to display'
         )
+        render_group.add_argument(
+            '--karras_max',
+            type=int,
+            default=None,
+            help="control the point at which the K* samplers will shift from using the Karras noise schedule (good for low step counts) to the LatentDiffusion noise schedule (good for high step counts). Set to 0 to use LatentDiffusion for all step values, and to a high value (e.g. 1000) to use Karras for all step values. [29]."
+        )
         # Restoration related args
         postprocessing_group.add_argument(
             '--no_restore',

scripts/configure_invokeai.py

@@ -72,16 +72,23 @@ this program and resume later.\n'''
 #--------------------------------------------
 def postscript(errors: None):
     if not any(errors):
-        message='''\n** Model Installation Successful **\nYou're all set! You may now launch InvokeAI using one of these two commands:
-Web version:
-    python scripts/invoke.py --web  (connect to http://localhost:9090)
-Command-line version:
-   python scripts/invoke.py
+        message='''
+** Model Installation Successful **
 
-If you installed manually, remember to activate the 'invokeai'
-environment before running invoke.py. If you installed using the
-automated installation script, execute "invoke.sh" (Linux/Mac) or
-"invoke.bat" (Windows) to start InvokeAI.
+You're all set!
+
+If you installed using one of the automated installation scripts,
+execute 'invoke.sh' (Linux/macOS) or 'invoke.bat' (Windows) to 
+start InvokeAI.
+
+If you installed manually, activate the 'invokeai' environment
+(e.g. 'conda activate invokeai'), then run one of the following
+commands to start InvokeAI.
+
+Web UI:
+    python scripts/invoke.py --web # (connect to http://localhost:9090)
+Command-line interface:
+   python scripts/invoke.py
 
 Have fun!
 '''