stable-diffusion-webui/modules/script_callbacks.py

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import sys
import traceback
from collections import namedtuple
import inspect
def report_exception(c, job):
print(f"Error executing callback {job} for {c.script}", file=sys.stderr)
print(traceback.format_exc(), file=sys.stderr)
class ImageSaveParams:
def __init__(self, image, p, filename, pnginfo):
self.image = image
"""the PIL image itself"""
self.p = p
"""p object with processing parameters; either StableDiffusionProcessing or an object with same fields"""
self.filename = filename
"""name of file that the image would be saved to"""
self.pnginfo = pnginfo
"""dictionary with parameters for image's PNG info data; infotext will have the key 'parameters'"""
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class CGFDenoiserParams:
def __init__(self, x_in, image_cond_in, sigma_in, sampling_step, total_sampling_steps):
self.x_in = x_in
self.image_cond_in = image_cond_in
self.sigma_in = sigma_in
self.sampling_step = sampling_step
self.total_sampling_steps = total_sampling_steps
ScriptCallback = namedtuple("ScriptCallback", ["script", "callback"])
callbacks_model_loaded = []
callbacks_ui_tabs = []
callbacks_ui_settings = []
callbacks_before_image_saved = []
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callbacks_image_saved = []
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callbacks_cfg_denoiser = []
def clear_callbacks():
callbacks_model_loaded.clear()
callbacks_ui_tabs.clear()
callbacks_ui_settings.clear()
callbacks_before_image_saved.clear()
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callbacks_image_saved.clear()
def model_loaded_callback(sd_model):
for c in callbacks_model_loaded:
try:
c.callback(sd_model)
except Exception:
report_exception(c, 'model_loaded_callback')
def ui_tabs_callback():
res = []
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for c in callbacks_ui_tabs:
try:
res += c.callback() or []
except Exception:
report_exception(c, 'ui_tabs_callback')
return res
def ui_settings_callback():
for c in callbacks_ui_settings:
try:
c.callback()
except Exception:
report_exception(c, 'ui_settings_callback')
def before_image_saved_callback(params: ImageSaveParams):
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for c in callbacks_image_saved:
try:
c.callback(params)
except Exception:
report_exception(c, 'before_image_saved_callback')
def image_saved_callback(params: ImageSaveParams):
for c in callbacks_image_saved:
try:
c.callback(params)
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except Exception:
report_exception(c, 'image_saved_callback')
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def cfg_denoiser_callback(params: CGFDenoiserParams):
for c in callbacks_cfg_denoiser:
try:
c.callback(params)
except Exception:
report_exception(c, 'cfg_denoiser_callback')
def add_callback(callbacks, fun):
stack = [x for x in inspect.stack() if x.filename != __file__]
filename = stack[0].filename if len(stack) > 0 else 'unknown file'
callbacks.append(ScriptCallback(filename, fun))
def on_model_loaded(callback):
"""register a function to be called when the stable diffusion model is created; the model is
passed as an argument"""
add_callback(callbacks_model_loaded, callback)
def on_ui_tabs(callback):
"""register a function to be called when the UI is creating new tabs.
The function must either return a None, which means no new tabs to be added, or a list, where
each element is a tuple:
(gradio_component, title, elem_id)
gradio_component is a gradio component to be used for contents of the tab (usually gr.Blocks)
title is tab text displayed to user in the UI
elem_id is HTML id for the tab
"""
add_callback(callbacks_ui_tabs, callback)
def on_ui_settings(callback):
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"""register a function to be called before UI settings are populated; add your settings
by using shared.opts.add_option(shared.OptionInfo(...)) """
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add_callback(callbacks_ui_settings, callback)
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def on_before_image_saved(callback):
"""register a function to be called before an image is saved to a file.
The callback is called with one argument:
- params: ImageSaveParams - parameters the image is to be saved with. You can change fields in this object.
"""
add_callback(callbacks_before_image_saved, callback)
def on_image_saved(callback):
"""register a function to be called after an image is saved to a file.
The callback is called with one argument:
- params: ImageSaveParams - parameters the image was saved with. Changing fields in this object does nothing.
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"""
add_callback(callbacks_image_saved, callback)
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def on_cfg_denoiser(callback):
"""register a function to be called in the kdiffussion cfg_denoiser method after building the inner model inputs.
The callback is called with one argument:
- params: CGFDenoiserParams - parameters to be passed to the inner model and sampling state details.
"""
add_callback(callbacks_cfg_denoiser, callback)