| import copy |
| import random |
| import shlex |
|
|
| import modules.scripts as scripts |
| import gradio as gr |
|
|
| from modules import sd_samplers, errors |
| from modules.processing import Processed, process_images |
| from modules.shared import state |
|
|
|
|
| def process_string_tag(tag): |
| return tag |
|
|
|
|
| def process_int_tag(tag): |
| return int(tag) |
|
|
|
|
| def process_float_tag(tag): |
| return float(tag) |
|
|
|
|
| def process_boolean_tag(tag): |
| return True if (tag == "true") else False |
|
|
|
|
| prompt_tags = { |
| "sd_model": None, |
| "outpath_samples": process_string_tag, |
| "outpath_grids": process_string_tag, |
| "prompt_for_display": process_string_tag, |
| "prompt": process_string_tag, |
| "negative_prompt": process_string_tag, |
| "styles": process_string_tag, |
| "seed": process_int_tag, |
| "subseed_strength": process_float_tag, |
| "subseed": process_int_tag, |
| "seed_resize_from_h": process_int_tag, |
| "seed_resize_from_w": process_int_tag, |
| "sampler_index": process_int_tag, |
| "sampler_name": process_string_tag, |
| "batch_size": process_int_tag, |
| "n_iter": process_int_tag, |
| "steps": process_int_tag, |
| "cfg_scale": process_float_tag, |
| "width": process_int_tag, |
| "height": process_int_tag, |
| "restore_faces": process_boolean_tag, |
| "tiling": process_boolean_tag, |
| "do_not_save_samples": process_boolean_tag, |
| "do_not_save_grid": process_boolean_tag |
| } |
|
|
|
|
| def cmdargs(line): |
| args = shlex.split(line) |
| pos = 0 |
| res = {} |
|
|
| while pos < len(args): |
| arg = args[pos] |
|
|
| assert arg.startswith("--"), f'must start with "--": {arg}' |
| assert pos+1 < len(args), f'missing argument for command line option {arg}' |
|
|
| tag = arg[2:] |
|
|
| if tag == "prompt" or tag == "negative_prompt": |
| pos += 1 |
| prompt = args[pos] |
| pos += 1 |
| while pos < len(args) and not args[pos].startswith("--"): |
| prompt += " " |
| prompt += args[pos] |
| pos += 1 |
| res[tag] = prompt |
| continue |
|
|
|
|
| func = prompt_tags.get(tag, None) |
| assert func, f'unknown commandline option: {arg}' |
|
|
| val = args[pos+1] |
| if tag == "sampler_name": |
| val = sd_samplers.samplers_map.get(val.lower(), None) |
|
|
| res[tag] = func(val) |
|
|
| pos += 2 |
|
|
| return res |
|
|
|
|
| def load_prompt_file(file): |
| if file is None: |
| return None, gr.update(), gr.update(lines=7) |
| else: |
| lines = [x.strip() for x in file.decode('utf8', errors='ignore').split("\n")] |
| return None, "\n".join(lines), gr.update(lines=7) |
|
|
|
|
| class Script(scripts.Script): |
| def title(self): |
| return "Prompts from file or textbox" |
|
|
| def ui(self, is_img2img): |
| checkbox_iterate = gr.Checkbox(label="Iterate seed every line", value=False, elem_id=self.elem_id("checkbox_iterate")) |
| checkbox_iterate_batch = gr.Checkbox(label="Use same random seed for all lines", value=False, elem_id=self.elem_id("checkbox_iterate_batch")) |
|
|
| prompt_txt = gr.Textbox(label="List of prompt inputs", lines=1, elem_id=self.elem_id("prompt_txt")) |
| file = gr.File(label="Upload prompt inputs", type='binary', elem_id=self.elem_id("file")) |
|
|
| file.change(fn=load_prompt_file, inputs=[file], outputs=[file, prompt_txt, prompt_txt], show_progress=False) |
|
|
| |
| |
| |
| 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_txt] |
|
|
| def run(self, p, checkbox_iterate, checkbox_iterate_batch, prompt_txt: str): |
| lines = [x for x in (x.strip() for x in prompt_txt.splitlines()) if x] |
|
|
| p.do_not_save_grid = True |
|
|
| job_count = 0 |
| jobs = [] |
|
|
| for line in lines: |
| if "--" in line: |
| try: |
| args = cmdargs(line) |
| except Exception: |
| errors.report(f"Error parsing line {line} as commandline", exc_info=True) |
| args = {"prompt": line} |
| else: |
| args = {"prompt": line} |
|
|
| job_count += args.get("n_iter", p.n_iter) |
|
|
| jobs.append(args) |
|
|
| print(f"Will process {len(lines)} lines in {job_count} jobs.") |
| if (checkbox_iterate or checkbox_iterate_batch) and p.seed == -1: |
| p.seed = int(random.randrange(4294967294)) |
|
|
| state.job_count = job_count |
|
|
| images = [] |
| all_prompts = [] |
| infotexts = [] |
| for args in jobs: |
| state.job = f"{state.job_no + 1} out of {state.job_count}" |
|
|
| copy_p = copy.copy(p) |
| for k, v in args.items(): |
| setattr(copy_p, k, v) |
|
|
| proc = process_images(copy_p) |
| images += proc.images |
|
|
| if checkbox_iterate: |
| p.seed = p.seed + (p.batch_size * p.n_iter) |
| all_prompts += proc.all_prompts |
| infotexts += proc.infotexts |
|
|
| return Processed(p, images, p.seed, "", all_prompts=all_prompts, infotexts=infotexts) |
|
|