From c5934fb6e3007795efcf9b71be6df1581f61e4cb Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Wed, 19 Jul 2023 16:26:12 +0300
Subject: Merge pull request #11878 from Bourne-M/patch-1
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

【bug】reload altclip model error
---
 modules/sd_hijack.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'modules')

diff --git a/modules/sd_hijack.py b/modules/sd_hijack.py
index f5615967..c8fdd4f1 100644
--- a/modules/sd_hijack.py
+++ b/modules/sd_hijack.py
@@ -243,7 +243,7 @@ class StableDiffusionModelHijack:
         ldm.modules.diffusionmodules.openaimodel.UNetModel.forward = sd_unet.UNetModel_forward
 
     def undo_hijack(self, m):
-        if type(m.cond_stage_model) == xlmr.BertSeriesModelWithTransformation:
+        if type(m.cond_stage_model) == sd_hijack_xlmr.FrozenXLMREmbedderWithCustomWords:
             m.cond_stage_model = m.cond_stage_model.wrapped
 
         elif type(m.cond_stage_model) == sd_hijack_clip.FrozenCLIPEmbedderWithCustomWords:
-- 
cgit v1.2.1


From 51206edb620b098f286cc33fab748ab90c5b20d4 Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Fri, 21 Jul 2023 18:00:03 +0300
Subject: Merge pull request #11921 from wfjsw/prepend-pythonpath

prepend the pythonpath instead of overriding it
---
 modules/launch_utils.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'modules')

diff --git a/modules/launch_utils.py b/modules/launch_utils.py
index 03552bc2..93838745 100644
--- a/modules/launch_utils.py
+++ b/modules/launch_utils.py
@@ -196,7 +196,7 @@ def run_extension_installer(extension_dir):
 
     try:
         env = os.environ.copy()
-        env['PYTHONPATH'] = os.path.abspath(".")
+        env['PYTHONPATH'] = f"{os.path.abspath('.')}{os.pathsep}{env['PYTHONPATH']}"
 
         print(run(f'"{python}" "{path_installer}"', errdesc=f"Error running install.py for extension {extension_dir}", custom_env=env))
     except Exception as e:
-- 
cgit v1.2.1


From 636ff513b0b5939f15456b82abd2e99951f6e3c1 Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Fri, 21 Jul 2023 18:01:20 +0300
Subject: Merge pull request #11920 from wfjsw/typo-fix-1

typo fix
---
 modules/launch_utils.py | 6 +++---
 modules/scripts.py      | 2 +-
 2 files changed, 4 insertions(+), 4 deletions(-)

(limited to 'modules')

diff --git a/modules/launch_utils.py b/modules/launch_utils.py
index 93838745..93c8c8ca 100644
--- a/modules/launch_utils.py
+++ b/modules/launch_utils.py
@@ -233,7 +233,7 @@ def run_extensions_installers(settings_file):
 re_requirement = re.compile(r"\s*([-_a-zA-Z0-9]+)\s*(?:==\s*([-+_.a-zA-Z0-9]+))?\s*")
 
 
-def requrements_met(requirements_file):
+def requirements_met(requirements_file):
     """
     Does a simple parse of a requirements.txt file to determine if all rerqirements in it
     are already installed. Returns True if so, False if not installed or parsing fails.
@@ -293,7 +293,7 @@ def prepare_environment():
     try:
         # the existance of this file is a signal to webui.sh/bat that webui needs to be restarted when it stops execution
         os.remove(os.path.join(script_path, "tmp", "restart"))
-        os.environ.setdefault('SD_WEBUI_RESTARTING ', '1')
+        os.environ.setdefault('SD_WEBUI_RESTARTING', '1')
     except OSError:
         pass
 
@@ -354,7 +354,7 @@ def prepare_environment():
     if not os.path.isfile(requirements_file):
         requirements_file = os.path.join(script_path, requirements_file)
 
-    if not requrements_met(requirements_file):
+    if not requirements_met(requirements_file):
         run_pip(f"install -r \"{requirements_file}\"", "requirements")
 
     run_extensions_installers(settings_file=args.ui_settings_file)
diff --git a/modules/scripts.py b/modules/scripts.py
index 7d9dd59f..f34240a0 100644
--- a/modules/scripts.py
+++ b/modules/scripts.py
@@ -119,7 +119,7 @@ class Script:
 
     def after_extra_networks_activate(self, p, *args, **kwargs):
         """
-        Calledafter extra networks activation, before conds calculation
+        Called after extra networks activation, before conds calculation
         allow modification of the network after extra networks activation been applied
         won't be call if p.disable_extra_networks
 
-- 
cgit v1.2.1


From 704628b903fc7d54ad7cb9b0f0dd4296a5913c2d Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Sat, 22 Jul 2023 07:03:21 +0300
Subject: Merge pull request #11923 from AnyISalIn/dev

[bug] If txt2img/img2img raises an exception, finally call state.end()
---
 modules/api/api.py | 36 ++++++++++++++++++++----------------
 1 file changed, 20 insertions(+), 16 deletions(-)

(limited to 'modules')

diff --git a/modules/api/api.py b/modules/api/api.py
index 2a4cd8a2..9d73083f 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -333,14 +333,16 @@ class Api:
                 p.outpath_grids = opts.outdir_txt2img_grids
                 p.outpath_samples = opts.outdir_txt2img_samples
 
-                shared.state.begin(job="scripts_txt2img")
-                if selectable_scripts is not None:
-                    p.script_args = script_args
-                    processed = scripts.scripts_txt2img.run(p, *p.script_args) # Need to pass args as list here
-                else:
-                    p.script_args = tuple(script_args) # Need to pass args as tuple here
-                    processed = process_images(p)
-                shared.state.end()
+                try:
+                    shared.state.begin(job="scripts_txt2img")
+                    if selectable_scripts is not None:
+                        p.script_args = script_args
+                        processed = scripts.scripts_txt2img.run(p, *p.script_args) # Need to pass args as list here
+                    else:
+                        p.script_args = tuple(script_args) # Need to pass args as tuple here
+                        processed = process_images(p)
+                finally:
+                    shared.state.end()
 
         b64images = list(map(encode_pil_to_base64, processed.images)) if send_images else []
 
@@ -390,14 +392,16 @@ class Api:
                 p.outpath_grids = opts.outdir_img2img_grids
                 p.outpath_samples = opts.outdir_img2img_samples
 
-                shared.state.begin(job="scripts_img2img")
-                if selectable_scripts is not None:
-                    p.script_args = script_args
-                    processed = scripts.scripts_img2img.run(p, *p.script_args) # Need to pass args as list here
-                else:
-                    p.script_args = tuple(script_args) # Need to pass args as tuple here
-                    processed = process_images(p)
-                shared.state.end()
+                try:
+                    shared.state.begin(job="scripts_img2img")
+                    if selectable_scripts is not None:
+                        p.script_args = script_args
+                        processed = scripts.scripts_img2img.run(p, *p.script_args) # Need to pass args as list here
+                    else:
+                        p.script_args = tuple(script_args) # Need to pass args as tuple here
+                        processed = process_images(p)
+                finally:
+                    shared.state.end()
 
         b64images = list(map(encode_pil_to_base64, processed.images)) if send_images else []
 
-- 
cgit v1.2.1


From cad87bf4e3e0b0a759afa94e933527c3123d59bc Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Sat, 22 Jul 2023 16:36:40 +0300
Subject: Merge pull request #11927 from ljleb/fix-AND

Fix composable diffusion weight parsing
---
 modules/prompt_parser.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'modules')

diff --git a/modules/prompt_parser.py b/modules/prompt_parser.py
index b29d079d..203ae1ac 100644
--- a/modules/prompt_parser.py
+++ b/modules/prompt_parser.py
@@ -178,7 +178,7 @@ def get_learned_conditioning(model, prompts: SdConditioning | list[str], steps):
 
 
 re_AND = re.compile(r"\bAND\b")
-re_weight = re.compile(r"^(.*?)(?:\s*:\s*([-+]?(?:\d+\.?|\d*\.\d+)))?\s*$")
+re_weight = re.compile(r"^((?:\s|.)*?)(?:\s*:\s*([-+]?(?:\d+\.?|\d*\.\d+)))?\s*$")
 
 
 def get_multicond_prompt_list(prompts: SdConditioning | list[str]):
-- 
cgit v1.2.1


From 1f59be5188c0989db3bc8900f2c11b6706c07d70 Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Sat, 22 Jul 2023 16:37:03 +0300
Subject: Merge pull request #11926 from wfjsw/fix-env-get-1

fix 11291#issuecomment-1646547908
---
 modules/launch_utils.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'modules')

diff --git a/modules/launch_utils.py b/modules/launch_utils.py
index 93c8c8ca..e1c9cfbe 100644
--- a/modules/launch_utils.py
+++ b/modules/launch_utils.py
@@ -196,7 +196,7 @@ def run_extension_installer(extension_dir):
 
     try:
         env = os.environ.copy()
-        env['PYTHONPATH'] = f"{os.path.abspath('.')}{os.pathsep}{env['PYTHONPATH']}"
+        env['PYTHONPATH'] = f"{os.path.abspath('.')}{os.pathsep}{env.get('PYTHONPATH', '')}"
 
         print(run(f'"{python}" "{path_installer}"', errdesc=f"Error running install.py for extension {extension_dir}", custom_env=env))
     except Exception as e:
-- 
cgit v1.2.1


From c251e8db8d71e649e4350f13aad1a76ed98d35c3 Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Mon, 24 Jul 2023 23:18:16 +0300
Subject: Merge pull request #11957 from ljleb/pp-batch-list

Add postprocess_batch_list script callback
---
 modules/processing.py | 26 +++++++++++++++++++++++++-
 modules/scripts.py    | 32 ++++++++++++++++++++++++++++++++
 2 files changed, 57 insertions(+), 1 deletion(-)

(limited to 'modules')

diff --git a/modules/processing.py b/modules/processing.py
index a74a5302..6dc178e1 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -717,7 +717,27 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
         p.all_subseeds = [int(subseed) + x for x in range(len(p.all_prompts))]
 
     def infotext(iteration=0, position_in_batch=0, use_main_prompt=False):
-        return create_infotext(p, p.all_prompts, p.all_seeds, p.all_subseeds, comments, iteration, position_in_batch, use_main_prompt)
+        all_prompts = p.all_prompts[:]
+        all_negative_prompts = p.all_negative_prompts[:]
+        all_seeds = p.all_seeds[:]
+        all_subseeds = p.all_subseeds[:]
+
+        # apply changes to generation data
+        all_prompts[iteration * p.batch_size:(iteration + 1) * p.batch_size] = p.prompts
+        all_negative_prompts[iteration * p.batch_size:(iteration + 1) * p.batch_size] = p.negative_prompts
+        all_seeds[iteration * p.batch_size:(iteration + 1) * p.batch_size] = p.seeds
+        all_subseeds[iteration * p.batch_size:(iteration + 1) * p.batch_size] = p.subseeds
+
+        # update p.all_negative_prompts in case extensions changed the size of the batch
+        # create_infotext below uses it
+        old_negative_prompts = p.all_negative_prompts
+        p.all_negative_prompts = all_negative_prompts
+
+        try:
+            return create_infotext(p, all_prompts, all_seeds, all_subseeds, comments, iteration, position_in_batch, use_main_prompt)
+        finally:
+            # restore p.all_negative_prompts in case extensions changed the size of the batch
+            p.all_negative_prompts = old_negative_prompts
 
     if os.path.exists(cmd_opts.embeddings_dir) and not p.do_not_reload_embeddings:
         model_hijack.embedding_db.load_textual_inversion_embeddings()
@@ -806,6 +826,10 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
             if p.scripts is not None:
                 p.scripts.postprocess_batch(p, x_samples_ddim, batch_number=n)
 
+                postprocess_batch_list_args = scripts.PostprocessBatchListArgs(list(x_samples_ddim))
+                p.scripts.postprocess_batch_list(p, postprocess_batch_list_args, batch_number=n)
+                x_samples_ddim = postprocess_batch_list_args.images
+
             for i, x_sample in enumerate(x_samples_ddim):
                 p.batch_index = i
 
diff --git a/modules/scripts.py b/modules/scripts.py
index f34240a0..5b4edcac 100644
--- a/modules/scripts.py
+++ b/modules/scripts.py
@@ -16,6 +16,11 @@ class PostprocessImageArgs:
         self.image = image
 
 
+class PostprocessBatchListArgs:
+    def __init__(self, images):
+        self.images = images
+
+
 class Script:
     name = None
     """script's internal name derived from title"""
@@ -156,6 +161,25 @@ class Script:
 
         pass
 
+    def postprocess_batch_list(self, p, pp: PostprocessBatchListArgs, *args, **kwargs):
+        """
+        Same as postprocess_batch(), but receives batch images as a list of 3D tensors instead of a 4D tensor.
+        This is useful when you want to update the entire batch instead of individual images.
+
+        You can modify the postprocessing object (pp) to update the images in the batch, remove images, add images, etc.
+        If the number of images is different from the batch size when returning,
+        then the script has the responsibility to also update the following attributes in the processing object (p):
+          - p.prompts
+          - p.negative_prompts
+          - p.seeds
+          - p.subseeds
+
+        **kwargs will have same items as process_batch, and also:
+          - batch_number - index of current batch, from 0 to number of batches-1
+        """
+
+        pass
+
     def postprocess_image(self, p, pp: PostprocessImageArgs, *args):
         """
         Called for every image after it has been generated.
@@ -536,6 +560,14 @@ class ScriptRunner:
             except Exception:
                 errors.report(f"Error running postprocess_batch: {script.filename}", exc_info=True)
 
+    def postprocess_batch_list(self, p, pp: PostprocessBatchListArgs, **kwargs):
+        for script in self.alwayson_scripts:
+            try:
+                script_args = p.script_args[script.args_from:script.args_to]
+                script.postprocess_batch_list(p, pp, *script_args, **kwargs)
+            except Exception:
+                errors.report(f"Error running postprocess_batch_list: {script.filename}", exc_info=True)
+
     def postprocess_image(self, p, pp: PostprocessImageArgs):
         for script in self.alwayson_scripts:
             try:
-- 
cgit v1.2.1


From ce0aab36432c655c8cb48ccc2caf23d10d77cad1 Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Tue, 25 Jul 2023 15:19:10 +0300
Subject: Merge pull request #11984 from
 AUTOMATIC1111/api-only-subpath-(root_path)

api only subpath (rootpath)
---
 modules/api/api.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'modules')

diff --git a/modules/api/api.py b/modules/api/api.py
index 9d73083f..606db179 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -724,9 +724,9 @@ class Api:
             cuda = {'error': f'{err}'}
         return models.MemoryResponse(ram=ram, cuda=cuda)
 
-    def launch(self, server_name, port):
+    def launch(self, server_name, port, root_path):
         self.app.include_router(self.router)
-        uvicorn.run(self.app, host=server_name, port=port, timeout_keep_alive=shared.cmd_opts.timeout_keep_alive)
+        uvicorn.run(self.app, host=server_name, port=port, timeout_keep_alive=shared.cmd_opts.timeout_keep_alive, root_path=root_path)
 
     def kill_webui(self):
         restart.stop_program()
-- 
cgit v1.2.1


From 11f996a096e43092da0c7b8cf5b9d7a19de57828 Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Tue, 25 Jul 2023 15:23:35 +0300
Subject: Merge pull request #11979 from
 AUTOMATIC1111/catch-exception-for-non-git-extensions

catch exception for non git extensions
---
 modules/extensions.py | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

(limited to 'modules')

diff --git a/modules/extensions.py b/modules/extensions.py
index c561159a..09d1e550 100644
--- a/modules/extensions.py
+++ b/modules/extensions.py
@@ -56,9 +56,11 @@ class Extension:
                 self.do_read_info_from_repo()
 
                 return self.to_dict()
-
-        d = cache.cached_data_for_file('extensions-git', self.name, os.path.join(self.path, ".git"), read_from_repo)
-        self.from_dict(d)
+        try:
+            d = cache.cached_data_for_file('extensions-git', self.name, os.path.join(self.path, ".git"), read_from_repo)
+            self.from_dict(d)
+        except FileNotFoundError:
+            pass
         self.status = 'unknown'
 
     def do_read_info_from_repo(self):
-- 
cgit v1.2.1


From e16eb3d0cb5a7c7a6b73afc5b6ae11831b480931 Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Wed, 26 Jul 2023 07:45:48 +0300
Subject: Merge pull request #12024 from
 AUTOMATIC1111/fix-check-for-updates-status-always-unknown-

fix check for updates status always "unknown"
---
 modules/extensions.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'modules')

diff --git a/modules/extensions.py b/modules/extensions.py
index 09d1e550..3ad5ed53 100644
--- a/modules/extensions.py
+++ b/modules/extensions.py
@@ -61,7 +61,7 @@ class Extension:
             self.from_dict(d)
         except FileNotFoundError:
             pass
-        self.status = 'unknown'
+        self.status = 'unknown' if self.status == '' else self.status
 
     def do_read_info_from_repo(self):
         repo = None
-- 
cgit v1.2.1


From 5360ae2cc57a093a8e26d2152635a05e0329d8fe Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Wed, 26 Jul 2023 08:07:07 +0300
Subject: Merge pull request #12023 from AUTOMATIC1111/create_infotext_fix

Create infotext fix
---
 modules/processing.py | 63 ++++++++++++++++++++-------------------------------
 1 file changed, 25 insertions(+), 38 deletions(-)

(limited to 'modules')

diff --git a/modules/processing.py b/modules/processing.py
index 6dc178e1..b0992ee1 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -600,8 +600,12 @@ def program_version():
     return res
 
 
-def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iteration=0, position_in_batch=0, use_main_prompt=False):
-    index = position_in_batch + iteration * p.batch_size
+def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iteration=0, position_in_batch=0, use_main_prompt=False, index=None, all_negative_prompts=None):
+    if index is None:
+        index = position_in_batch + iteration * p.batch_size
+
+    if all_negative_prompts is None:
+        all_negative_prompts = p.all_negative_prompts
 
     clip_skip = getattr(p, 'clip_skip', opts.CLIP_stop_at_last_layers)
     enable_hr = getattr(p, 'enable_hr', False)
@@ -617,12 +621,12 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter
         "Sampler": p.sampler_name,
         "CFG scale": p.cfg_scale,
         "Image CFG scale": getattr(p, 'image_cfg_scale', None),
-        "Seed": all_seeds[index],
+        "Seed": p.all_seeds[0] if use_main_prompt else all_seeds[index],
         "Face restoration": (opts.face_restoration_model if p.restore_faces else None),
         "Size": f"{p.width}x{p.height}",
         "Model hash": getattr(p, 'sd_model_hash', None if not opts.add_model_hash_to_info or not shared.sd_model.sd_model_hash else shared.sd_model.sd_model_hash),
         "Model": (None if not opts.add_model_name_to_info else shared.sd_model.sd_checkpoint_info.name_for_extra),
-        "Variation seed": (None if p.subseed_strength == 0 else all_subseeds[index]),
+        "Variation seed": (None if p.subseed_strength == 0 else (p.all_subseeds[0] if use_main_prompt else all_subseeds[index])),
         "Variation seed strength": (None if p.subseed_strength == 0 else p.subseed_strength),
         "Seed resize from": (None if p.seed_resize_from_w <= 0 or p.seed_resize_from_h <= 0 else f"{p.seed_resize_from_w}x{p.seed_resize_from_h}"),
         "Denoising strength": getattr(p, 'denoising_strength', None),
@@ -642,7 +646,7 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter
     generation_params_text = ", ".join([k if k == v else f'{k}: {generation_parameters_copypaste.quote(v)}' for k, v in generation_params.items() if v is not None])
 
     prompt_text = p.prompt if use_main_prompt else all_prompts[index]
-    negative_prompt_text = f"\nNegative prompt: {p.all_negative_prompts[index]}" if p.all_negative_prompts[index] else ""
+    negative_prompt_text = f"\nNegative prompt: {all_negative_prompts[index]}" if all_negative_prompts[index] else ""
 
     return f"{prompt_text}{negative_prompt_text}\n{generation_params_text}".strip()
 
@@ -716,29 +720,6 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
     else:
         p.all_subseeds = [int(subseed) + x for x in range(len(p.all_prompts))]
 
-    def infotext(iteration=0, position_in_batch=0, use_main_prompt=False):
-        all_prompts = p.all_prompts[:]
-        all_negative_prompts = p.all_negative_prompts[:]
-        all_seeds = p.all_seeds[:]
-        all_subseeds = p.all_subseeds[:]
-
-        # apply changes to generation data
-        all_prompts[iteration * p.batch_size:(iteration + 1) * p.batch_size] = p.prompts
-        all_negative_prompts[iteration * p.batch_size:(iteration + 1) * p.batch_size] = p.negative_prompts
-        all_seeds[iteration * p.batch_size:(iteration + 1) * p.batch_size] = p.seeds
-        all_subseeds[iteration * p.batch_size:(iteration + 1) * p.batch_size] = p.subseeds
-
-        # update p.all_negative_prompts in case extensions changed the size of the batch
-        # create_infotext below uses it
-        old_negative_prompts = p.all_negative_prompts
-        p.all_negative_prompts = all_negative_prompts
-
-        try:
-            return create_infotext(p, all_prompts, all_seeds, all_subseeds, comments, iteration, position_in_batch, use_main_prompt)
-        finally:
-            # restore p.all_negative_prompts in case extensions changed the size of the batch
-            p.all_negative_prompts = old_negative_prompts
-
     if os.path.exists(cmd_opts.embeddings_dir) and not p.do_not_reload_embeddings:
         model_hijack.embedding_db.load_textual_inversion_embeddings()
 
@@ -826,9 +807,15 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
             if p.scripts is not None:
                 p.scripts.postprocess_batch(p, x_samples_ddim, batch_number=n)
 
-                postprocess_batch_list_args = scripts.PostprocessBatchListArgs(list(x_samples_ddim))
-                p.scripts.postprocess_batch_list(p, postprocess_batch_list_args, batch_number=n)
-                x_samples_ddim = postprocess_batch_list_args.images
+                p.prompts = p.all_prompts[n * p.batch_size:(n + 1) * p.batch_size]
+                p.negative_prompts = p.all_negative_prompts[n * p.batch_size:(n + 1) * p.batch_size]
+
+                batch_params = scripts.PostprocessBatchListArgs(list(x_samples_ddim))
+                p.scripts.postprocess_batch_list(p, batch_params, batch_number=n)
+                x_samples_ddim = batch_params.images
+
+            def infotext(index=0, use_main_prompt=False):
+                return create_infotext(p, p.prompts, p.seeds, p.subseeds, use_main_prompt=use_main_prompt, index=index, all_negative_prompts=p.negative_prompts)
 
             for i, x_sample in enumerate(x_samples_ddim):
                 p.batch_index = i
@@ -838,7 +825,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
 
                 if p.restore_faces:
                     if opts.save and not p.do_not_save_samples and opts.save_images_before_face_restoration:
-                        images.save_image(Image.fromarray(x_sample), p.outpath_samples, "", p.seeds[i], p.prompts[i], opts.samples_format, info=infotext(n, i), p=p, suffix="-before-face-restoration")
+                        images.save_image(Image.fromarray(x_sample), p.outpath_samples, "", p.seeds[i], p.prompts[i], opts.samples_format, info=infotext(i), p=p, suffix="-before-face-restoration")
 
                     devices.torch_gc()
 
@@ -855,15 +842,15 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
                 if p.color_corrections is not None and i < len(p.color_corrections):
                     if opts.save and not p.do_not_save_samples and opts.save_images_before_color_correction:
                         image_without_cc = apply_overlay(image, p.paste_to, i, p.overlay_images)
-                        images.save_image(image_without_cc, p.outpath_samples, "", p.seeds[i], p.prompts[i], opts.samples_format, info=infotext(n, i), p=p, suffix="-before-color-correction")
+                        images.save_image(image_without_cc, p.outpath_samples, "", p.seeds[i], p.prompts[i], opts.samples_format, info=infotext(i), p=p, suffix="-before-color-correction")
                     image = apply_color_correction(p.color_corrections[i], image)
 
                 image = apply_overlay(image, p.paste_to, i, p.overlay_images)
 
                 if opts.samples_save and not p.do_not_save_samples:
-                    images.save_image(image, p.outpath_samples, "", p.seeds[i], p.prompts[i], opts.samples_format, info=infotext(n, i), p=p)
+                    images.save_image(image, p.outpath_samples, "", p.seeds[i], p.prompts[i], opts.samples_format, info=infotext(i), p=p)
 
-                text = infotext(n, i)
+                text = infotext(i)
                 infotexts.append(text)
                 if opts.enable_pnginfo:
                     image.info["parameters"] = text
@@ -874,10 +861,10 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
                     image_mask_composite = Image.composite(image.convert('RGBA').convert('RGBa'), Image.new('RGBa', image.size), images.resize_image(2, p.mask_for_overlay, image.width, image.height).convert('L')).convert('RGBA')
 
                     if opts.save_mask:
-                        images.save_image(image_mask, p.outpath_samples, "", p.seeds[i], p.prompts[i], opts.samples_format, info=infotext(n, i), p=p, suffix="-mask")
+                        images.save_image(image_mask, p.outpath_samples, "", p.seeds[i], p.prompts[i], opts.samples_format, info=infotext(i), p=p, suffix="-mask")
 
                     if opts.save_mask_composite:
-                        images.save_image(image_mask_composite, p.outpath_samples, "", p.seeds[i], p.prompts[i], opts.samples_format, info=infotext(n, i), p=p, suffix="-mask-composite")
+                        images.save_image(image_mask_composite, p.outpath_samples, "", p.seeds[i], p.prompts[i], opts.samples_format, info=infotext(i), p=p, suffix="-mask-composite")
 
                     if opts.return_mask:
                         output_images.append(image_mask)
@@ -918,7 +905,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
         p,
         images_list=output_images,
         seed=p.all_seeds[0],
-        info=infotext(),
+        info=infotexts[0],
         comments="".join(f"{comment}\n" for comment in comments),
         subseed=p.all_subseeds[0],
         index_of_first_image=index_of_first_image,
-- 
cgit v1.2.1


From 6b877c35da12029106062bfa8dfefb6a565f13ff Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Wed, 26 Jul 2023 11:52:42 +0300
Subject: Merge pull request #12032 from
 AUTOMATIC1111/fix-api-get-options-sd_model_checkpoint

api /sdapi/v1/options use "Any" type when default type is None
---
 modules/api/models.py | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

(limited to 'modules')

diff --git a/modules/api/models.py b/modules/api/models.py
index bf97b1a3..800c9b93 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -208,11 +208,9 @@ class PreprocessResponse(BaseModel):
 fields = {}
 for key, metadata in opts.data_labels.items():
     value = opts.data.get(key)
-    optType = opts.typemap.get(type(metadata.default), type(metadata.default))
+    optType = opts.typemap.get(type(metadata.default), type(metadata.default)) if metadata.default else Any
 
-    if metadata.default is None:
-        pass
-    elif metadata is not None:
+    if metadata is not None:
         fields.update({key: (Optional[optType], Field(default=metadata.default, description=metadata.label))})
     else:
         fields.update({key: (Optional[optType], Field())})
-- 
cgit v1.2.1


From 5c8f91b22975701af22d24f947af82e7d23264d5 Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Wed, 26 Jul 2023 13:03:52 +0300
Subject: fix autograd which i broke for no good reason when implementing SDXL

---
 modules/sd_hijack_clip.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'modules')

diff --git a/modules/sd_hijack_clip.py b/modules/sd_hijack_clip.py
index 5443e609..990533fe 100644
--- a/modules/sd_hijack_clip.py
+++ b/modules/sd_hijack_clip.py
@@ -273,9 +273,9 @@ class FrozenCLIPEmbedderWithCustomWordsBase(torch.nn.Module):
         # restoring original mean is likely not correct, but it seems to work well to prevent artifacts that happen otherwise
         batch_multipliers = torch.asarray(batch_multipliers).to(devices.device)
         original_mean = z.mean()
-        z *= batch_multipliers.reshape(batch_multipliers.shape + (1,)).expand(z.shape)
+        z = z * batch_multipliers.reshape(batch_multipliers.shape + (1,)).expand(z.shape)
         new_mean = z.mean()
-        z *= (original_mean / new_mean)
+        z = z * (original_mean / new_mean)
 
         return z
 
-- 
cgit v1.2.1


From 055461ae41436e0fcbdf9f5c6b82c9441c6b5b5f Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Wed, 26 Jul 2023 15:07:56 +0300
Subject: repair SDXL

---
 modules/sd_hijack_clip.py | 5 +++++
 1 file changed, 5 insertions(+)

(limited to 'modules')

diff --git a/modules/sd_hijack_clip.py b/modules/sd_hijack_clip.py
index 990533fe..16a5500e 100644
--- a/modules/sd_hijack_clip.py
+++ b/modules/sd_hijack_clip.py
@@ -270,6 +270,8 @@ class FrozenCLIPEmbedderWithCustomWordsBase(torch.nn.Module):
 
         z = self.encode_with_transformers(tokens)
 
+        pooled = getattr(z, 'pooled', None)
+
         # restoring original mean is likely not correct, but it seems to work well to prevent artifacts that happen otherwise
         batch_multipliers = torch.asarray(batch_multipliers).to(devices.device)
         original_mean = z.mean()
@@ -277,6 +279,9 @@ class FrozenCLIPEmbedderWithCustomWordsBase(torch.nn.Module):
         new_mean = z.mean()
         z = z * (original_mean / new_mean)
 
+        if pooled is not None:
+            z.pooled = pooled
+
         return z
 
 
-- 
cgit v1.2.1


From 8220cf37da8130980b036535bc2fba6b89417158 Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Wed, 26 Jul 2023 15:17:37 +0300
Subject: Merge pull request #12020 from Littleor/dev

Fix the error in rendering the name and description in the extra network UI.
---
 modules/ui_extra_networks.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'modules')

diff --git a/modules/ui_extra_networks.py b/modules/ui_extra_networks.py
index 49612298..f2752f10 100644
--- a/modules/ui_extra_networks.py
+++ b/modules/ui_extra_networks.py
@@ -253,7 +253,7 @@ class ExtraNetworksPage:
             "prompt": item.get("prompt", None),
             "tabname": quote_js(tabname),
             "local_preview": quote_js(item["local_preview"]),
-            "name": item["name"],
+            "name": html.escape(item["name"]),
             "description": (item.get("description") or "" if shared.opts.extra_networks_card_show_desc else ""),
             "card_clicked": onclick,
             "save_card_preview": '"' + html.escape(f"""return saveCardPreview(event, {quote_js(tabname)}, {quote_js(item["local_preview"])})""") + '"',
-- 
cgit v1.2.1