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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, Dict, Any |
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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, text_cond, text_uncond): |
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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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self.text_cond = text_cond |
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""" Encoder hidden states of text conditioning from prompt""" |
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self.text_uncond = text_uncond |
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""" Encoder hidden states of text conditioning from negative prompt""" |
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class CFGDenoisedParams: |
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def __init__(self, x, 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.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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class ImageGridLoopParams: |
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def __init__(self, imgs, cols, rows): |
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self.imgs = imgs |
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self.cols = cols |
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self.rows = rows |
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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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callbacks_cfg_denoised=[], |
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callbacks_before_component=[], |
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callbacks_after_component=[], |
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callbacks_image_grid=[], |
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callbacks_infotext_pasted=[], |
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callbacks_script_unloaded=[], |
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callbacks_before_ui=[], |
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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 cfg_denoised_callback(params: CFGDenoisedParams): |
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for c in callback_map['callbacks_cfg_denoised']: |
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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_denoised_callback') |
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def before_component_callback(component, **kwargs): |
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for c in callback_map['callbacks_before_component']: |
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try: |
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c.callback(component, **kwargs) |
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except Exception: |
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report_exception(c, 'before_component_callback') |
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def after_component_callback(component, **kwargs): |
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for c in callback_map['callbacks_after_component']: |
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try: |
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c.callback(component, **kwargs) |
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except Exception: |
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report_exception(c, 'after_component_callback') |
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def image_grid_callback(params: ImageGridLoopParams): |
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for c in callback_map['callbacks_image_grid']: |
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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_grid') |
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def infotext_pasted_callback(infotext: str, params: Dict[str, Any]): |
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for c in callback_map['callbacks_infotext_pasted']: |
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try: |
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c.callback(infotext, params) |
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except Exception: |
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report_exception(c, 'infotext_pasted') |
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def script_unloaded_callback(): |
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for c in reversed(callback_map['callbacks_script_unloaded']): |
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try: |
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c.callback() |
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except Exception: |
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report_exception(c, 'script_unloaded') |
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def before_ui_callback(): |
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for c in reversed(callback_map['callbacks_before_ui']): |
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try: |
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c.callback() |
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except Exception: |
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report_exception(c, 'before_ui') |
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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; this function is also called when the script is reloaded. """ |
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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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def on_cfg_denoised(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: CFGDenoisedParams - 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_denoised'], callback) |
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def on_before_component(callback): |
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"""register a function to be called before a component is created. |
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The callback is called with arguments: |
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- component - gradio component that is about to be created. |
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- **kwargs - args to gradio.components.IOComponent.__init__ function |
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Use elem_id/label fields of kwargs to figure out which component it is. |
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This can be useful to inject your own components somewhere in the middle of vanilla UI. |
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""" |
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add_callback(callback_map['callbacks_before_component'], callback) |
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def on_after_component(callback): |
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"""register a function to be called after a component is created. See on_before_component for more.""" |
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add_callback(callback_map['callbacks_after_component'], callback) |
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def on_image_grid(callback): |
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"""register a function to be called before making an image grid. |
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The callback is called with one argument: |
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- params: ImageGridLoopParams - parameters to be used for grid creation. Can be modified. |
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""" |
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add_callback(callback_map['callbacks_image_grid'], callback) |
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def on_infotext_pasted(callback): |
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"""register a function to be called before applying an infotext. |
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The callback is called with two arguments: |
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- infotext: str - raw infotext. |
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- result: Dict[str, any] - parsed infotext parameters. |
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""" |
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add_callback(callback_map['callbacks_infotext_pasted'], callback) |
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def on_script_unloaded(callback): |
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"""register a function to be called before the script is unloaded. Any hooks/hijacks/monkeying about that |
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the script did should be reverted here""" |
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add_callback(callback_map['callbacks_script_unloaded'], callback) |
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def on_before_ui(callback): |
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"""register a function to be called before the UI is created.""" |
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add_callback(callback_map['callbacks_before_ui'], callback) |
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