| | import copy
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| | import random
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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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| |
|
| | from modules import sd_samplers, errors, sd_models
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| | from modules.processing import Processed, process_images
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| | from modules.shared import state
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| |
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| |
|
| | def process_model_tag(tag):
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| | info = sd_models.get_closet_checkpoint_match(tag)
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| | assert info is not None, f'Unknown checkpoint: {tag}'
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| | return info.name
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| |
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| |
|
| | def process_string_tag(tag):
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| | return tag
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| |
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| |
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| | def process_int_tag(tag):
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| | return int(tag)
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| |
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| |
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| | def process_float_tag(tag):
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| | return float(tag)
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| |
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| |
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| | def process_boolean_tag(tag):
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| | return True if (tag == "true") else False
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| |
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| |
|
| | prompt_tags = {
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| | "sd_model": process_model_tag,
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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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| | "sampler_name": process_string_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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| |
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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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| |
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| | while pos < len(args):
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| | arg = args[pos]
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| |
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| | assert arg.startswith("--"), f'must start with "--": {arg}'
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| | assert pos+1 < len(args), f'missing argument for command line option {arg}'
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| |
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| | tag = arg[2:]
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| |
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| | if tag == "prompt" or tag == "negative_prompt":
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| | pos += 1
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| | prompt = args[pos]
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| | pos += 1
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| | while pos < len(args) and not args[pos].startswith("--"):
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| | prompt += " "
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| | prompt += args[pos]
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| | pos += 1
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| | res[tag] = prompt
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| | continue
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| |
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| |
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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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| |
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| | val = args[pos+1]
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| | if tag == "sampler_name":
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| | val = sd_samplers.samplers_map.get(val.lower(), None)
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| |
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| | res[tag] = func(val)
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| |
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| | pos += 2
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| |
|
| | return res
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| |
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| |
|
| | def load_prompt_file(file):
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| | if file is None:
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| | return None, gr.update(), gr.update(lines=7)
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| | else:
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| | lines = [x.strip() for x in file.decode('utf8', errors='ignore').split("\n")]
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| | return None, "\n".join(lines), gr.update(lines=7)
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| |
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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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| |
|
| | def ui(self, is_img2img):
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| | checkbox_iterate = gr.Checkbox(label="Iterate seed every line", value=False, elem_id=self.elem_id("checkbox_iterate"))
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| | checkbox_iterate_batch = gr.Checkbox(label="Use same random seed for all lines", value=False, elem_id=self.elem_id("checkbox_iterate_batch"))
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| | prompt_position = gr.Radio(["start", "end"], label="Insert prompts at the", elem_id=self.elem_id("prompt_position"), value="start")
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| |
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| | prompt_txt = gr.Textbox(label="List of prompt inputs", lines=1, elem_id=self.elem_id("prompt_txt"))
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| | file = gr.File(label="Upload prompt inputs", type='binary', elem_id=self.elem_id("file"))
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| |
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| | file.change(fn=load_prompt_file, inputs=[file], outputs=[file, prompt_txt, prompt_txt], show_progress=False)
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| |
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| |
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| |
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| |
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| | prompt_txt.change(lambda tb: gr.update(lines=7) if ("\n" in tb) else gr.update(lines=2), inputs=[prompt_txt], outputs=[prompt_txt], show_progress=False)
|
| | return [checkbox_iterate, checkbox_iterate_batch, prompt_position, prompt_txt]
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| |
|
| | def run(self, p, checkbox_iterate, checkbox_iterate_batch, prompt_position, prompt_txt: str):
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| | lines = [x for x in (x.strip() for x in prompt_txt.splitlines()) if x]
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| |
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| | p.do_not_save_grid = True
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| |
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| | job_count = 0
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| | jobs = []
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| |
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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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| | errors.report(f"Error parsing line {line} as commandline", exc_info=True)
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| | args = {"prompt": line}
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| | else:
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| | args = {"prompt": line}
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| |
|
| | job_count += args.get("n_iter", p.n_iter)
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| |
|
| | jobs.append(args)
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| |
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| | print(f"Will process {len(lines)} lines in {job_count} jobs.")
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| | if (checkbox_iterate or checkbox_iterate_batch) and p.seed == -1:
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| | p.seed = int(random.randrange(4294967294))
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| |
|
| | state.job_count = job_count
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| |
|
| | images = []
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| | all_prompts = []
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| | infotexts = []
|
| | for args in jobs:
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| | state.job = f"{state.job_no + 1} out of {state.job_count}"
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| |
|
| | copy_p = copy.copy(p)
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| | for k, v in args.items():
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| | if k == "sd_model":
|
| | copy_p.override_settings['sd_model_checkpoint'] = v
|
| | else:
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| | setattr(copy_p, k, v)
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| |
|
| | if args.get("prompt") and p.prompt:
|
| | if prompt_position == "start":
|
| | copy_p.prompt = args.get("prompt") + " " + p.prompt
|
| | else:
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| | copy_p.prompt = p.prompt + " " + args.get("prompt")
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| |
|
| | if args.get("negative_prompt") and p.negative_prompt:
|
| | if prompt_position == "start":
|
| | copy_p.negative_prompt = args.get("negative_prompt") + " " + p.negative_prompt
|
| | else:
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| | copy_p.negative_prompt = p.negative_prompt + " " + args.get("negative_prompt")
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| |
|
| | proc = process_images(copy_p)
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| | images += proc.images
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| |
|
| | if checkbox_iterate:
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| | p.seed = p.seed + (p.batch_size * p.n_iter)
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| | all_prompts += proc.all_prompts
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| | infotexts += proc.infotexts
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| |
|
| | return Processed(p, images, p.seed, "", all_prompts=all_prompts, infotexts=infotexts)
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| |
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