import math from collections import namedtuple from copy import copy import random import modules.scripts as scripts import gradio as gr from modules import images from modules.processing import process_images, Processed from modules.shared import opts, cmd_opts, state import modules.sd_samplers def draw_xy_grid(xs, ys, x_label, y_label, cell): res = [] ver_texts = [[images.GridAnnotation(y_label(y))] for y in ys] hor_texts = [[images.GridAnnotation(x_label(x))] for x in xs] first_processed = None state.job_count = len(xs) * len(ys) for iy, y in enumerate(ys): for ix, x in enumerate(xs): state.job = f"{ix + iy * len(xs) + 1} out of {len(xs) * len(ys)}" processed = cell(x, y) if first_processed is None: first_processed = processed res.append(processed.images[0]) grid = images.image_grid(res, rows=len(ys)) grid = images.draw_grid_annotations(grid, res[0].width, res[0].height, hor_texts, ver_texts) first_processed.images = [grid] return first_processed class Script(scripts.Script): def title(self): return "Prompt matrix" def ui(self, is_img2img): put_at_start = gr.Checkbox(label='Put variable parts at start of prompt', value=False, elem_id=self.elem_id("put_at_start")) different_seeds = gr.Checkbox(label='Use different seed for each picture', value=False, elem_id=self.elem_id("different_seeds")) return [put_at_start, different_seeds] def run(self, p, put_at_start, different_seeds): modules.processing.fix_seed(p) original_prompt = p.prompt[0] if type(p.prompt) == list else p.prompt all_prompts = [] prompt_matrix_parts = original_prompt.split("|") combination_count = 2 ** (len(prompt_matrix_parts) - 1) for combination_num in range(combination_count): selected_prompts = [text.strip().strip(',') for n, text in enumerate(prompt_matrix_parts[1:]) if combination_num & (1 << n)] if put_at_start: selected_prompts = selected_prompts + [prompt_matrix_parts[0]] else: selected_prompts = [prompt_matrix_parts[0]] + selected_prompts all_prompts.append(", ".join(selected_prompts)) p.n_iter = math.ceil(len(all_prompts) / p.batch_size) p.do_not_save_grid = True print(f"Prompt matrix will create {len(all_prompts)} images using a total of {p.n_iter} batches.") p.prompt = all_prompts p.seed = [p.seed + (i if different_seeds else 0) for i in range(len(all_prompts))] p.prompt_for_display = original_prompt processed = process_images(p) grid = images.image_grid(processed.images, p.batch_size, rows=1 << ((len(prompt_matrix_parts) - 1) // 2)) grid = images.draw_prompt_matrix(grid, p.width, p.height, prompt_matrix_parts) processed.images.insert(0, grid) processed.index_of_first_image = 1 processed.infotexts.insert(0, processed.infotexts[0]) if opts.grid_save: images.save_image(processed.images[0], p.outpath_grids, "prompt_matrix", extension=opts.grid_format, prompt=original_prompt, seed=processed.seed, grid=True, p=p) return processed