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-rw-r--r--modules/localization.py4
-rw-r--r--modules/paths_internal.py5
-rw-r--r--modules/safe.py2
-rw-r--r--modules/script_callbacks.py32
-rw-r--r--modules/sd_samplers_kdiffusion.py7
-rw-r--r--modules/shared.py9
-rw-r--r--modules/ui.py12
7 files changed, 59 insertions, 12 deletions
diff --git a/modules/localization.py b/modules/localization.py
index f6a6f2fb..ee9c65e7 100644
--- a/modules/localization.py
+++ b/modules/localization.py
@@ -23,7 +23,7 @@ def list_localizations(dirname):
localizations[fn] = file.path
-def localization_js(current_localization_name):
+def localization_js(current_localization_name: str) -> str:
fn = localizations.get(current_localization_name, None)
data = {}
if fn is not None:
@@ -34,4 +34,4 @@ def localization_js(current_localization_name):
print(f"Error loading localization from {fn}:", file=sys.stderr)
print(traceback.format_exc(), file=sys.stderr)
- return f"var localization = {json.dumps(data)}\n"
+ return f"window.localization = {json.dumps(data)}"
diff --git a/modules/paths_internal.py b/modules/paths_internal.py
index a23f6d70..005a9b0a 100644
--- a/modules/paths_internal.py
+++ b/modules/paths_internal.py
@@ -2,6 +2,11 @@
import argparse
import os
+import sys
+import shlex
+
+commandline_args = os.environ.get('COMMANDLINE_ARGS', "")
+sys.argv += shlex.split(commandline_args)
modules_path = os.path.dirname(os.path.realpath(__file__))
script_path = os.path.dirname(modules_path)
diff --git a/modules/safe.py b/modules/safe.py
index 1e791c5b..e8f50774 100644
--- a/modules/safe.py
+++ b/modules/safe.py
@@ -40,7 +40,7 @@ class RestrictedUnpickler(pickle.Unpickler):
return getattr(collections, name)
if module == 'torch._utils' and name in ['_rebuild_tensor_v2', '_rebuild_parameter', '_rebuild_device_tensor_from_numpy']:
return getattr(torch._utils, name)
- if module == 'torch' and name in ['FloatStorage', 'HalfStorage', 'IntStorage', 'LongStorage', 'DoubleStorage', 'ByteStorage', 'float32']:
+ if module == 'torch' and name in ['FloatStorage', 'HalfStorage', 'IntStorage', 'LongStorage', 'DoubleStorage', 'ByteStorage', 'float32', 'BFloat16Storage']:
return getattr(torch, name)
if module == 'torch.nn.modules.container' and name in ['ParameterDict']:
return getattr(torch.nn.modules.container, name)
diff --git a/modules/script_callbacks.py b/modules/script_callbacks.py
index 7d9dd736..3c21a362 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 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"""
@@ -87,6 +102,7 @@ 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=[],
@@ -186,6 +202,14 @@ 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:
@@ -332,6 +356,14 @@ 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 are completed.
+ The callback is called with one argument:
+ - params: AfterCFGCallbackParams - parameters to be passed to the script for post-processing after cfg calculation.
+ """
+ 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 e9e41818..61f23ad7 100644
--- a/modules/sd_samplers_kdiffusion.py
+++ b/modules/sd_samplers_kdiffusion.py
@@ -8,6 +8,7 @@ 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'], {}),
@@ -160,7 +161,7 @@ class CFGDenoiser(torch.nn.Module):
fake_uncond = torch.cat([x_out[i:i+1] for i in denoised_image_indexes])
x_out = torch.cat([x_out, fake_uncond]) # we skipped uncond denoising, so we put cond-denoised image to where the uncond-denoised image should be
- 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")
@@ -180,6 +181,10 @@ 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)
+ denoised = after_cfg_callback_params.x
+
self.step += 1
return denoised
diff --git a/modules/shared.py b/modules/shared.py
index e49e9b74..a5e8d0bd 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -668,14 +668,19 @@ def reload_gradio_theme(theme_name=None):
if not theme_name:
theme_name = opts.gradio_theme
+ default_theme_args = dict(
+ font=["Source Sans Pro", 'ui-sans-serif', 'system-ui', 'sans-serif'],
+ font_mono=['IBM Plex Mono', 'ui-monospace', 'Consolas', 'monospace'],
+ )
+
if theme_name == "Default":
- gradio_theme = gr.themes.Default()
+ gradio_theme = gr.themes.Default(**default_theme_args)
else:
try:
gradio_theme = gr.themes.ThemeClass.from_hub(theme_name)
except Exception as e:
errors.display(e, "changing gradio theme")
- gradio_theme = gr.themes.Default()
+ gradio_theme = gr.themes.Default(**default_theme_args)
diff --git a/modules/ui.py b/modules/ui.py
index ff82fff6..ff25c4ce 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1771,12 +1771,11 @@ def webpath(fn):
def javascript_html():
- script_js = os.path.join(script_path, "script.js")
- head = f'<script type="text/javascript" src="{webpath(script_js)}"></script>\n'
+ # Ensure localization is in `window` before scripts
+ head = f'<script type="text/javascript">{localization.localization_js(shared.opts.localization)}</script>\n'
- inline = f"{localization.localization_js(shared.opts.localization)};"
- if cmd_opts.theme is not None:
- inline += f"set_theme('{cmd_opts.theme}');"
+ script_js = os.path.join(script_path, "script.js")
+ head += f'<script type="text/javascript" src="{webpath(script_js)}"></script>\n'
for script in modules.scripts.list_scripts("javascript", ".js"):
head += f'<script type="text/javascript" src="{webpath(script.path)}"></script>\n'
@@ -1784,7 +1783,8 @@ def javascript_html():
for script in modules.scripts.list_scripts("javascript", ".mjs"):
head += f'<script type="module" src="{webpath(script.path)}"></script>\n'
- head += f'<script type="text/javascript">{inline}</script>\n'
+ if cmd_opts.theme:
+ head += f'<script type="text/javascript">set_theme(\"{cmd_opts.theme}\");</script>\n'
return head