import copy import random import shlex import gradio as gr import modules.scripts as scripts from modules import sd_samplers, errors, sd_models from modules.processing import Processed, process_images from modules.shared import state import modules.shared as shared 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 sort_checkpoint(checkpoints): current = shared.opts.sd_model_checkpoint # print("Debug", current) # print("Pre Sorted",checkpoints) if (checkpoints[0] == current): # print("Already Sorted") return checkpoints if (not (current in checkpoints)): return checkpoints checkpoints.remove(current) checkpoints.insert(0, current) # print("Sorted",checkpoints) return checkpoints def cmdargs(line, sampler): 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 if (sampler is not None): res["sd_model"] = sampler 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) def apply_checkpoint(p, x): if x == shared.opts.sd_model_checkpoint: return info = sd_models.get_closet_checkpoint_match(x) if info is None: shared.log.warning( f"XYZ grid: apply checkpoint unknown checkpoint: {x}") else: sd_models.reload_model_weights(shared.sd_model, info) p.override_settings['sd_model_checkpoint'] = info.name class Script(scripts.Script): def title(self): return "Prompts from File Kareem Edition" 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")) checkpoints = gr.Dropdown(sorted(sd_models.checkpoints_list), label="Checkpoints", multiselect=True, value=None, lem_id=self.elem_id("checkpoints")) 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) # We start at one line. When the text changes, we jump to seven lines, or two lines if no \n. # We don't shrink back to 1, because that causes the control to ignore [enter], and it may # be unclear to the user that shift-enter is needed. 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, checkpoints] def run(self, p, checkbox_iterate, checkbox_iterate_batch, prompt_txt: str, checkpoints): current = shared.opts.sd_model_checkpoint lines = [x.strip() for x in prompt_txt.splitlines()] lines = [x for x in lines if len(x) > 0] checkpoints = sort_checkpoint(checkpoints) job_count = 0 jobs = [] if (checkpoints is None): for line in lines: if "--" in line: try: args = cmdargs(line, None) except Exception as e: errors.display(e, f'parsing prompts: {line}') args = {"prompt": line} else: args = {"prompt": line} job_count += args.get("n_iter", p.n_iter) jobs.append(args) else: for checkpoint in checkpoints: for line in lines: if "--" in line: try: args = cmdargs(line, checkpoint) except Exception as e: errors.display(e, f'parsing prompts: {line}') args = {"prompt": line} else: args = {"prompt": line, "sd_model_checkpoint": checkpoint} 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) if (checkpoints is not None): apply_checkpoint(copy_p, copy_p.sd_model_checkpoint) 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 apply_checkpoint(copy_p, current) return Processed(p, images, p.seed, "", all_prompts=all_prompts, infotexts=infotexts)