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import math | |
import gradio as gr | |
import modules.scripts as scripts | |
from modules import images | |
from modules.processing import process_images | |
from modules.shared import opts, state, log | |
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]) | |
if images.check_grid_size(res): | |
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] | |
else: | |
first_processed.images = res | |
return first_processed | |
class Script(scripts.Script): | |
def title(self): | |
return "Prompt Matrix" | |
def ui(self, is_img2img): | |
with gr.Row(): | |
gr.HTML('<span">  Prompt matrix</span><br>') | |
with gr.Row(): | |
put_at_start = gr.Checkbox(label='Set at prompt start', value=False, elem_id=self.elem_id("put_at_start")) | |
different_seeds = gr.Checkbox(label='Random seeds', value=False, elem_id=self.elem_id("different_seeds")) | |
with gr.Row(): | |
prompt_type = gr.Radio(["positive", "negative"], label="Prompt type", elem_id=self.elem_id("prompt_type"), value="positive") | |
variations_delimiter = gr.Radio(["comma", "space"], label="Joining char", elem_id=self.elem_id("variations_delimiter"), value="comma") | |
with gr.Row(): | |
margin_size = gr.Slider(label="Grid margins", minimum=0, maximum=500, value=0, step=2, elem_id=self.elem_id("margin_size")) | |
return [put_at_start, different_seeds, prompt_type, variations_delimiter, margin_size] | |
def run(self, p, put_at_start, different_seeds, prompt_type, variations_delimiter, margin_size): # pylint: disable=arguments-differ | |
modules.processing.fix_seed(p) | |
# Raise error if promp type is not positive or negative | |
if prompt_type not in ["positive", "negative"]: | |
raise ValueError(f"Unknown prompt type {prompt_type}") | |
# Raise error if variations delimiter is not comma or space | |
if variations_delimiter not in ["comma", "space"]: | |
raise ValueError(f"Unknown variations delimiter {variations_delimiter}") | |
prompt = p.prompt if prompt_type == "positive" else p.negative_prompt | |
original_prompt = prompt[0] if type(prompt) == list else prompt | |
positive_prompt = p.prompt[0] if type(p.prompt) == list else p.prompt | |
delimiter = ", " if variations_delimiter == "comma" else " " | |
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(delimiter.join(selected_prompts)) | |
p.n_iter = math.ceil(len(all_prompts) / p.batch_size) | |
p.do_not_save_grid = True | |
log.info(f"Prompt-matrix: images={len(all_prompts)} batches={p.n_iter}") | |
if prompt_type == "positive": | |
p.prompt = all_prompts | |
else: | |
p.negative_prompt = all_prompts | |
p.seed = [int(p.seed + (i if different_seeds else 0)) for i in range(len(all_prompts))] | |
p.prompt_for_display = positive_prompt | |
processed = process_images(p) | |
if images.check_grid_size(processed.images): | |
grid = images.image_grid(processed.images, p.batch_size, rows=1 << ((len(prompt_matrix_parts) - 1) // 2)) | |
grid = images.draw_prompt_matrix(grid, processed.images[0].width, processed.images[0].height, prompt_matrix_parts, margin_size) | |
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 | |