222 lines
7.4 KiB
Python
222 lines
7.4 KiB
Python
import sys
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import traceback
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from collections import namedtuple
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import inspect
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from typing import Optional
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from fastapi import FastAPI
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from gradio import Blocks
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def report_exception(c, job):
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print(f"Error executing callback {job} for {c.script}", file=sys.stderr)
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print(traceback.format_exc(), file=sys.stderr)
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class ImageSaveParams:
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def __init__(self, image, p, filename, pnginfo):
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self.image = image
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"""the PIL image itself"""
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self.p = p
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"""p object with processing parameters; either StableDiffusionProcessing or an object with same fields"""
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self.filename = filename
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"""name of file that the image would be saved to"""
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self.pnginfo = pnginfo
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"""dictionary with parameters for image's PNG info data; infotext will have the key 'parameters'"""
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class CFGDenoiserParams:
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def __init__(self, x, image_cond, sigma, sampling_step, total_sampling_steps):
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self.x = x
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"""Latent image representation in the process of being denoised"""
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self.image_cond = image_cond
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"""Conditioning image"""
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self.sigma = sigma
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"""Current sigma noise step value"""
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self.sampling_step = sampling_step
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"""Current Sampling step number"""
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self.total_sampling_steps = total_sampling_steps
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"""Total number of sampling steps planned"""
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class UiTrainTabParams:
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def __init__(self, txt2img_preview_params):
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self.txt2img_preview_params = txt2img_preview_params
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ScriptCallback = namedtuple("ScriptCallback", ["script", "callback"])
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callback_map = dict(
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callbacks_app_started=[],
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callbacks_model_loaded=[],
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callbacks_ui_tabs=[],
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callbacks_ui_train_tabs=[],
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callbacks_ui_settings=[],
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callbacks_before_image_saved=[],
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callbacks_image_saved=[],
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callbacks_cfg_denoiser=[],
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)
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def clear_callbacks():
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for callback_list in callback_map.values():
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callback_list.clear()
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def app_started_callback(demo: Optional[Blocks], app: FastAPI):
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for c in callback_map['callbacks_app_started']:
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try:
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c.callback(demo, app)
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except Exception:
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report_exception(c, 'app_started_callback')
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def model_loaded_callback(sd_model):
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for c in callback_map['callbacks_model_loaded']:
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try:
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c.callback(sd_model)
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except Exception:
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report_exception(c, 'model_loaded_callback')
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def ui_tabs_callback():
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res = []
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for c in callback_map['callbacks_ui_tabs']:
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try:
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res += c.callback() or []
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except Exception:
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report_exception(c, 'ui_tabs_callback')
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return res
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def ui_train_tabs_callback(params: UiTrainTabParams):
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for c in callback_map['callbacks_ui_train_tabs']:
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try:
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c.callback(params)
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except Exception:
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report_exception(c, 'callbacks_ui_train_tabs')
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def ui_settings_callback():
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for c in callback_map['callbacks_ui_settings']:
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try:
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c.callback()
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except Exception:
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report_exception(c, 'ui_settings_callback')
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def before_image_saved_callback(params: ImageSaveParams):
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for c in callback_map['callbacks_before_image_saved']:
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try:
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c.callback(params)
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except Exception:
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report_exception(c, 'before_image_saved_callback')
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def image_saved_callback(params: ImageSaveParams):
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for c in callback_map['callbacks_image_saved']:
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try:
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c.callback(params)
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except Exception:
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report_exception(c, 'image_saved_callback')
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def cfg_denoiser_callback(params: CFGDenoiserParams):
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for c in callback_map['callbacks_cfg_denoiser']:
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try:
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c.callback(params)
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except Exception:
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report_exception(c, 'cfg_denoiser_callback')
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def add_callback(callbacks, fun):
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stack = [x for x in inspect.stack() if x.filename != __file__]
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filename = stack[0].filename if len(stack) > 0 else 'unknown file'
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callbacks.append(ScriptCallback(filename, fun))
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def remove_current_script_callbacks():
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stack = [x for x in inspect.stack() if x.filename != __file__]
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filename = stack[0].filename if len(stack) > 0 else 'unknown file'
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if filename == 'unknown file':
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return
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for callback_list in callback_map.values():
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for callback_to_remove in [cb for cb in callback_list if cb.script == filename]:
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callback_list.remove(callback_to_remove)
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def remove_callbacks_for_function(callback_func):
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for callback_list in callback_map.values():
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for callback_to_remove in [cb for cb in callback_list if cb.callback == callback_func]:
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callback_list.remove(callback_to_remove)
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def on_app_started(callback):
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"""register a function to be called when the webui started, the gradio `Block` component and
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fastapi `FastAPI` object are passed as the arguments"""
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add_callback(callback_map['callbacks_app_started'], callback)
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def on_model_loaded(callback):
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"""register a function to be called when the stable diffusion model is created; the model is
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passed as an argument"""
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add_callback(callback_map['callbacks_model_loaded'], callback)
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def on_ui_tabs(callback):
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"""register a function to be called when the UI is creating new tabs.
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The function must either return a None, which means no new tabs to be added, or a list, where
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each element is a tuple:
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(gradio_component, title, elem_id)
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gradio_component is a gradio component to be used for contents of the tab (usually gr.Blocks)
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title is tab text displayed to user in the UI
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elem_id is HTML id for the tab
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"""
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add_callback(callback_map['callbacks_ui_tabs'], callback)
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def on_ui_train_tabs(callback):
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"""register a function to be called when the UI is creating new tabs for the train tab.
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Create your new tabs with gr.Tab.
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"""
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add_callback(callback_map['callbacks_ui_train_tabs'], callback)
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def on_ui_settings(callback):
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"""register a function to be called before UI settings are populated; add your settings
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by using shared.opts.add_option(shared.OptionInfo(...)) """
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add_callback(callback_map['callbacks_ui_settings'], callback)
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def on_before_image_saved(callback):
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"""register a function to be called before an image is saved to a file.
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The callback is called with one argument:
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- params: ImageSaveParams - parameters the image is to be saved with. You can change fields in this object.
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"""
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add_callback(callback_map['callbacks_before_image_saved'], callback)
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def on_image_saved(callback):
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"""register a function to be called after an image is saved to a file.
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The callback is called with one argument:
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- params: ImageSaveParams - parameters the image was saved with. Changing fields in this object does nothing.
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"""
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add_callback(callback_map['callbacks_image_saved'], callback)
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def on_cfg_denoiser(callback):
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"""register a function to be called in the kdiffussion cfg_denoiser method after building the inner model inputs.
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The callback is called with one argument:
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- params: CFGDenoiserParams - parameters to be passed to the inner model and sampling state details.
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"""
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add_callback(callback_map['callbacks_cfg_denoiser'], callback)
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