first working version

.gitignore

@@ -0,0 +1,129 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2023
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+# Implementation of Self Attention Guidance in webui
+https://arxiv.org/abs/2210.00939
+
+## Additional setup requirements after installation:
+
+### For AUTOMATIC1111 webui:
+at commit 22bcc7be
+
+run the following command in root directory stable-diffusion-webui/:
+```
+git apply --ignore-whitespace extensions/sd_webui_SAG/automatic1111-CFGDenoiser-and-script_callbacks-mod-for-SAG.patch
+```
+
+
+### For vladmandic webui:
+at commit 7c684a8b
+
+run the following command in root directory automatic/
+```
+git apply --ignore-whitespace extensions/sd_webui_SAG/vladmandic-CFGDenoiser-and-script_callbacks-mod-for-SAG.patch
+```
+
+
+Demos with stealth pnginfo:
+![xyz_grid-0014-232592377.png](resources%2Fimg%2Fxyz_grid-0014-232592377.png)
+![xyz_grid-0001-232592377.png](resources%2Fimg%2Fxyz_grid-0001-232592377.png)

automatic1111-CFGDenoiser-and-script_callbacks-mod-for-SAG.patch

@@ -0,0 +1,118 @@
+From cb129e420612813d74043aa4a6a49575b53e9c14 Mon Sep 17 00:00:00 2001
+From: Ashen <git123@gmail.com>
+Date: Fri, 21 Apr 2023 09:40:59 -0700
+Subject: [PATCH] CFGDenoiser and script_callbacks mod for SAG
+
+---
+ modules/script_callbacks.py       | 34 +++++++++++++++++++++++++++++++
+ modules/sd_samplers_kdiffusion.py |  7 ++++++-
+ 2 files changed, 40 insertions(+), 1 deletion(-)
+
+diff --git a/modules/script_callbacks.py b/modules/script_callbacks.py
+index 07911876..d3d3df14 100644
+--- a/modules/script_callbacks.py
++++ b/modules/script_callbacks.py
+@@ -53,6 +53,21 @@ class CFGDenoiserParams:
+
+
+ class CFGDenoisedParams:
++    def __init__(self, x, sampling_step, total_sampling_steps, inner_model):
++        self.x = x
++        """Latent image representation in the process of being denoised"""
++
++        self.sampling_step = sampling_step
++        """Current Sampling step number"""
++
++        self.total_sampling_steps = total_sampling_steps
++        """Total number of sampling steps planned"""
++
++        self.inner_model = inner_model
++        """Inner model reference that is being used for denoising"""
++
++
++class AfterCFGCallbackParams:
+     def __init__(self, x, sampling_step, total_sampling_steps):
+         self.x = x
+         """Latent image representation in the process of being denoised"""
+@@ -63,6 +78,8 @@ class CFGDenoisedParams:
+         self.total_sampling_steps = total_sampling_steps
+         """Total number of sampling steps planned"""
+
++        self.output_altered = False
++        """A flag for CFGDenoiser that indicates whether the output has been altered by the callback"""
+
+ class UiTrainTabParams:
+     def __init__(self, txt2img_preview_params):
+@@ -87,6 +104,7 @@ callback_map = dict(
+     callbacks_image_saved=[],
+     callbacks_cfg_denoiser=[],
+     callbacks_cfg_denoised=[],
++    callbacks_cfg_after_cfg=[],
+     callbacks_before_component=[],
+     callbacks_after_component=[],
+     callbacks_image_grid=[],
+@@ -177,6 +195,14 @@ def cfg_denoised_callback(params: CFGDenoisedParams):
+             report_exception(c, 'cfg_denoised_callback')
+
+
++def cfg_after_cfg_callback(params: AfterCFGCallbackParams):
++    for c in callback_map['callbacks_cfg_after_cfg']:
++        try:
++            c.callback(params)
++        except Exception:
++            report_exception(c, 'cfg_after_cfg_callback')
++
++
+ def before_component_callback(component, **kwargs):
+     for c in callback_map['callbacks_before_component']:
+         try:
+@@ -318,6 +344,14 @@ def on_cfg_denoised(callback):
+     add_callback(callback_map['callbacks_cfg_denoised'], callback)
+
+
++def on_cfg_after_cfg(callback):
++    """register a function to be called in the kdiffussion cfg_denoiser method after cfg calculations has completed.
++    The callback is called with one argument:
++        - params: CFGDenoisedParams - parameters to be passed to the inner model and sampling state details.
++    """
++    add_callback(callback_map['callbacks_cfg_after_cfg'], callback)
++
++
+ def on_before_component(callback):
+     """register a function to be called before a component is created.
+     The callback is called with arguments:
+diff --git a/modules/sd_samplers_kdiffusion.py b/modules/sd_samplers_kdiffusion.py
+index e9f08518..6ff55ba6 100644
+--- a/modules/sd_samplers_kdiffusion.py
++++ b/modules/sd_samplers_kdiffusion.py
+@@ -9,6 +9,7 @@ from modules.shared import opts, state
+ import modules.shared as shared
+ from modules.script_callbacks import CFGDenoiserParams, cfg_denoiser_callback
+ from modules.script_callbacks import CFGDenoisedParams, cfg_denoised_callback
++from modules.script_callbacks import AfterCFGCallbackParams, cfg_after_cfg_callback
+
+ samplers_k_diffusion = [
+     ('Euler a', 'sample_euler_ancestral', ['k_euler_a', 'k_euler_ancestral'], {}),
+@@ -146,7 +147,7 @@ class CFGDenoiser(torch.nn.Module):
+
+             x_out[-uncond.shape[0]:] = self.inner_model(x_in[-uncond.shape[0]:], sigma_in[-uncond.shape[0]:], cond=make_condition_dict([uncond], image_cond_in[-uncond.shape[0]:]))
+
+-        denoised_params = CFGDenoisedParams(x_out, state.sampling_step, state.sampling_steps)
++        denoised_params = CFGDenoisedParams(x_out, state.sampling_step, state.sampling_steps, self.inner_model)
+         cfg_denoised_callback(denoised_params)
+
+         devices.test_for_nans(x_out, "unet")
+@@ -164,6 +165,10 @@ class CFGDenoiser(torch.nn.Module):
+         if self.mask is not None:
+             denoised = self.init_latent * self.mask + self.nmask * denoised
+
++        after_cfg_callback_params = AfterCFGCallbackParams(denoised, state.sampling_step, state.sampling_steps)
++        cfg_after_cfg_callback(after_cfg_callback_params)
++        if after_cfg_callback_params.output_altered:
++            denoised = after_cfg_callback_params.x
+         self.step += 1
+
+         return denoised
+-- 
+2.40.0
+