stable-diffusion-webui/scripts/prompt_matrix.py
2022-09-04 03:38:24 +03:00

86 lines
2.9 KiB
Python

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_pocessed = None
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_pocessed is None:
first_pocessed = 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_pocessed.images = [grid]
return first_pocessed
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)
return [put_at_start]
def run(self, p, put_at_start):
seed = int(random.randrange(4294967294) if p.seed == -1 else p.seed)
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.prompt_for_display = original_prompt
p.seed = len(all_prompts) * [seed]
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)
if opts.grid_save:
images.save_image(processed.images[0], p.outpath_grids, "prompt_matrix", prompt=original_prompt, seed=seed)
return processed