stable-diffusion-webui/modules/scripts_postprocessing.py

229 lines
6.9 KiB
Python
Raw Normal View History

import dataclasses
2023-01-23 06:24:43 +00:00
import os
import gradio as gr
from modules import errors, shared
@dataclasses.dataclass
class PostprocessedImageSharedInfo:
target_width: int = None
target_height: int = None
2023-01-23 06:24:43 +00:00
class PostprocessedImage:
def __init__(self, image):
self.image = image
self.info = {}
self.shared = PostprocessedImageSharedInfo()
self.extra_images = []
self.nametags = []
self.disable_processing = False
self.caption = None
def get_suffix(self, used_suffixes=None):
used_suffixes = {} if used_suffixes is None else used_suffixes
suffix = "-".join(self.nametags)
if suffix:
suffix = "-" + suffix
if suffix not in used_suffixes:
used_suffixes[suffix] = 1
return suffix
for i in range(1, 100):
proposed_suffix = suffix + "-" + str(i)
if proposed_suffix not in used_suffixes:
used_suffixes[proposed_suffix] = 1
return proposed_suffix
return suffix
def create_copy(self, new_image, *, nametags=None, disable_processing=False):
pp = PostprocessedImage(new_image)
pp.shared = self.shared
pp.nametags = self.nametags.copy()
pp.info = self.info.copy()
pp.disable_processing = disable_processing
if nametags is not None:
pp.nametags += nametags
return pp
2023-01-23 06:24:43 +00:00
class ScriptPostprocessing:
filename = None
controls = None
args_from = None
args_to = None
order = 1000
"""scripts will be ordred by this value in postprocessing UI"""
name = None
"""this function should return the title of the script."""
group = None
"""A gr.Group component that has all script's UI inside it"""
def ui(self):
"""
This function should create gradio UI elements. See https://gradio.app/docs/#components
The return value should be a dictionary that maps parameter names to components used in processing.
Values of those components will be passed to process() function.
"""
pass
def process(self, pp: PostprocessedImage, **args):
"""
This function is called to postprocess the image.
args contains a dictionary with all values returned by components from ui()
"""
pass
def process_firstpass(self, pp: PostprocessedImage, **args):
"""
Called for all scripts before calling process(). Scripts can examine the image here and set fields
of the pp object to communicate things to other scripts.
args contains a dictionary with all values returned by components from ui()
"""
2023-01-23 06:24:43 +00:00
pass
2023-01-23 06:24:43 +00:00
def image_changed(self):
pass
2023-01-23 06:24:43 +00:00
def wrap_call(func, filename, funcname, *args, default=None, **kwargs):
try:
res = func(*args, **kwargs)
return res
except Exception as e:
errors.display(e, f"calling {filename}/{funcname}")
return default
class ScriptPostprocessingRunner:
def __init__(self):
self.scripts = None
self.ui_created = False
def initialize_scripts(self, scripts_data):
self.scripts = []
2023-05-10 08:37:18 +00:00
for script_data in scripts_data:
script: ScriptPostprocessing = script_data.script_class()
script.filename = script_data.path
2023-01-23 06:24:43 +00:00
if script.name == "Simple Upscale":
continue
2023-01-23 06:24:43 +00:00
self.scripts.append(script)
def create_script_ui(self, script, inputs):
script.args_from = len(inputs)
script.args_to = len(inputs)
script.controls = wrap_call(script.ui, script.filename, "ui")
for control in script.controls.values():
control.custom_script_source = os.path.basename(script.filename)
inputs += list(script.controls.values())
script.args_to = len(inputs)
def scripts_in_preferred_order(self):
if self.scripts is None:
import modules.scripts
self.initialize_scripts(modules.scripts.postprocessing_scripts_data)
scripts_order = shared.opts.postprocessing_operation_order
2023-01-23 06:24:43 +00:00
def script_score(name):
for i, possible_match in enumerate(scripts_order):
if possible_match == name:
2023-01-23 06:24:43 +00:00
return i
return len(self.scripts)
script_scores = {script.name: (script_score(script.name), script.order, script.name, original_index) for original_index, script in enumerate(self.scripts)}
return sorted(self.scripts, key=lambda x: script_scores[x.name])
def setup_ui(self):
inputs = []
for script in self.scripts_in_preferred_order():
2023-03-20 13:09:36 +00:00
with gr.Row() as group:
2023-01-23 06:24:43 +00:00
self.create_script_ui(script, inputs)
script.group = group
self.ui_created = True
return inputs
def run(self, pp: PostprocessedImage, args):
scripts = []
2023-01-23 06:24:43 +00:00
for script in self.scripts_in_preferred_order():
2023-01-23 06:24:43 +00:00
script_args = args[script.args_from:script.args_to]
process_args = {}
2023-05-10 18:21:32 +00:00
for (name, _component), value in zip(script.controls.items(), script_args):
2023-01-23 06:24:43 +00:00
process_args[name] = value
scripts.append((script, process_args))
for script, process_args in scripts:
script.process_firstpass(pp, **process_args)
all_images = [pp]
for script, process_args in scripts:
if shared.state.skipped:
break
shared.state.job = script.name
for single_image in all_images.copy():
if not single_image.disable_processing:
script.process(single_image, **process_args)
for extra_image in single_image.extra_images:
if not isinstance(extra_image, PostprocessedImage):
extra_image = single_image.create_copy(extra_image)
all_images.append(extra_image)
single_image.extra_images.clear()
pp.extra_images = all_images[1:]
2023-01-23 06:24:43 +00:00
def create_args_for_run(self, scripts_args):
if not self.ui_created:
with gr.Blocks(analytics_enabled=False):
self.setup_ui()
scripts = self.scripts_in_preferred_order()
args = [None] * max([x.args_to for x in scripts])
for script in scripts:
script_args_dict = scripts_args.get(script.name, None)
if script_args_dict is not None:
for i, name in enumerate(script.controls):
args[script.args_from + i] = script_args_dict.get(name, None)
return args
def image_changed(self):
for script in self.scripts_in_preferred_order():
script.image_changed()