mirror of
https://github.com/openvinotoolkit/stable-diffusion-webui.git
synced 2024-12-15 07:03:06 +03:00
update for commandline args for btch prompts to parse string properly
This commit is contained in:
AUTOMATIC
parent
58e62312c3
commit
7d6042b908
@ -1,7 +1,9 @@
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import copy
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import math
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import os
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import sys
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import traceback
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import shlex
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import modules.scripts as scripts
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import gradio as gr
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@ -10,6 +12,75 @@ from modules.processing import Processed, process_images
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from PIL import Image
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from modules.shared import opts, cmd_opts, state
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def process_string_tag(tag):
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return tag
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def process_int_tag(tag):
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return int(tag)
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def process_float_tag(tag):
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return float(tag)
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def process_boolean_tag(tag):
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return True if (tag == "true") else False
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prompt_tags = {
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"sd_model": None,
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"outpath_samples": process_string_tag,
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"outpath_grids": process_string_tag,
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"prompt_for_display": process_string_tag,
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"prompt": process_string_tag,
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"negative_prompt": process_string_tag,
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"styles": process_string_tag,
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"seed": process_int_tag,
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"subseed_strength": process_float_tag,
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"subseed": process_int_tag,
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"seed_resize_from_h": process_int_tag,
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"seed_resize_from_w": process_int_tag,
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"sampler_index": process_int_tag,
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"batch_size": process_int_tag,
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"n_iter": process_int_tag,
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"steps": process_int_tag,
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"cfg_scale": process_float_tag,
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"width": process_int_tag,
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"height": process_int_tag,
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"restore_faces": process_boolean_tag,
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"tiling": process_boolean_tag,
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"do_not_save_samples": process_boolean_tag,
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"do_not_save_grid": process_boolean_tag
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}
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def cmdargs(line):
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args = shlex.split(line)
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pos = 0
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res = {}
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while pos < len(args):
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arg = args[pos]
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assert arg.startswith("--"), f'must start with "--": {arg}'
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tag = arg[2:]
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func = prompt_tags.get(tag, None)
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assert func, f'unknown commandline option: {arg}'
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assert pos+1 < len(args), f'missing argument for command line option {arg}'
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val = args[pos+1]
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res[tag] = func(val)
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pos += 2
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return res
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class Script(scripts.Script):
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def title(self):
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return "Prompts from file or textbox"
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@ -28,87 +99,52 @@ class Script(scripts.Script):
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checkbox_txt.change(fn=lambda x: [gr.File.update(visible = not x), gr.TextArea.update(visible = x)], inputs=[checkbox_txt], outputs=[file, prompt_txt])
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return [checkbox_txt, file, prompt_txt]
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def process_string_tag(self, tag):
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return tag[1:-2]
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def process_int_tag(self, tag):
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return int(tag)
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def process_float_tag(self, tag):
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return float(tag)
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def process_boolean_tag(self, tag):
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return True if (tag == "true") else False
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prompt_tags = {
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"sd_model": None,
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"outpath_samples": process_string_tag,
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"outpath_grids": process_string_tag,
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"prompt_for_display": process_string_tag,
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"prompt": process_string_tag,
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"negative_prompt": process_string_tag,
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"styles": process_string_tag,
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"seed": process_int_tag,
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"subseed_strength": process_float_tag,
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"subseed": process_int_tag,
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"seed_resize_from_h": process_int_tag,
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"seed_resize_from_w": process_int_tag,
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"sampler_index": process_int_tag,
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"batch_size": process_int_tag,
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"n_iter": process_int_tag,
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"steps": process_int_tag,
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"cfg_scale": process_float_tag,
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"width": process_int_tag,
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"height": process_int_tag,
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"restore_faces": process_boolean_tag,
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"tiling": process_boolean_tag,
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"do_not_save_samples": process_boolean_tag,
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"do_not_save_grid": process_boolean_tag
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}
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def on_show(self, checkbox_txt, file, prompt_txt):
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return [ gr.Checkbox.update(visible = True), gr.File.update(visible = not checkbox_txt), gr.TextArea.update(visible = checkbox_txt) ]
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def run(self, p, checkbox_txt, data: bytes, prompt_txt: str):
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if (checkbox_txt):
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if checkbox_txt:
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lines = [x.strip() for x in prompt_txt.splitlines()]
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else:
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lines = [x.strip() for x in data.decode('utf8', errors='ignore').split("\n")]
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lines = [x for x in lines if len(x) > 0]
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img_count = len(lines) * p.n_iter
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batch_count = math.ceil(img_count / p.batch_size)
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loop_count = math.ceil(batch_count / p.n_iter)
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# These numbers no longer accurately reflect the total images and number of batches
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print(f"Will process {img_count} images in {batch_count} batches.")
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p.do_not_save_grid = True
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state.job_count = batch_count
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job_count = 0
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jobs = []
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for line in lines:
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if "--" in line:
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try:
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args = cmdargs(line)
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except Exception:
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print(f"Error parsing line [line] as commandline:", file=sys.stderr)
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print(traceback.format_exc(), file=sys.stderr)
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args = {"prompt": line}
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else:
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args = {"prompt": line}
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n_iter = args.get("n_iter", 1)
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if n_iter != 1:
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job_count += n_iter
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else:
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job_count += 1
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jobs.append(args)
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print(f"Will process {len(lines)} lines in {job_count} jobs.")
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state.job_count = job_count
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images = []
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for loop_no in range(loop_count):
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state.job = f"{loop_no + 1} out of {loop_count}"
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# The following line may need revising to remove batch_size references
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current_line = lines[loop_no*p.batch_size:(loop_no+1)*p.batch_size] * p.n_iter
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for n, args in enumerate(jobs):
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state.job = f"{state.job_no + 1} out of {state.job_count}"
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# If the current line has no tags, parse the whole line as a prompt, else parse each tag
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if(current_line[0][:2] != "--"):
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p.prompt = current_line
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else:
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tokenized_line = current_line[0].split("--")
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copy_p = copy.copy(p)
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for k, v in args.items():
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setattr(copy_p, k, v)
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for tag in tokenized_line:
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tag_split = tag.split(" ", 1)
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if(tag_split[0] != ''):
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value_func = self.prompt_tags.get(tag_split[0], None)
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if(value_func != None):
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value = value_func(self, tag_split[1])
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setattr(p, tag_split[0], value)
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else:
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print(f"Unknown option \"{tag_split}\"")
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proc = process_images(p)
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proc = process_images(copy_p)
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images += proc.images
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return Processed(p, images, p.seed, "")
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