diff options
| -rw-r--r-- | modules/ui.py | 2 | ||||
| -rw-r--r-- | script.js | 2 | ||||
| -rw-r--r-- | scripts/custom_code.py | 40 | ||||
| -rw-r--r-- | scripts/prompt_matrix.py | 82 | ||||
| -rw-r--r-- | scripts/xy_grid.py | 154 |
5 files changed, 278 insertions, 2 deletions
diff --git a/modules/ui.py b/modules/ui.py index c6ded678..4256cdac 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -266,7 +266,7 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo): seed = gr.Number(label='Seed', value=-1)
with gr.Group():
- custom_inputs = modules.scripts.setup_ui(is_img2img=False)
+ custom_inputs = modules.scripts.setup_ui(is_img2img=True)
with gr.Column(variant='panel'):
@@ -36,7 +36,7 @@ titles = { "None": "Do not do anything special", "Prompt matrix": "Separate prompts into parts using vertical pipe character (|) and the script will create a picture for every combination of them (except for the first part, which will be present in all combinations)", - "X/Y Plot": "Create a grid where images will have different parameters. Use inputs below to specify which parameterswill be shared by columns and rows", + "X/Y plot": "Create a grid where images will have different parameters. Use inputs below to specify which parameterswill be shared by columns and rows", "Custom code": "Run python code. Advanced user only. Must run program with --allow-code for this to work", "Prompt S/R": "Separate a list of words with commas, and the first word will be used as a keyword: script will search for this word in the prompt, and replace it with others", diff --git a/scripts/custom_code.py b/scripts/custom_code.py new file mode 100644 index 00000000..b359050a --- /dev/null +++ b/scripts/custom_code.py @@ -0,0 +1,40 @@ +import modules.scripts as scripts
+import gradio as gr
+
+from modules.processing import Processed
+from modules.shared import opts, cmd_opts, state
+
+
+class Script(scripts.Script):
+ def title(self):
+ return "Custom code"
+
+ def enabled(self):
+ return cmd_opts.allow_code
+
+ def ui(self, is_img2img):
+ code = gr.Textbox(label="Python code", visible=False, lines=1)
+
+ return [code]
+
+ def run(self, p, code):
+ if not cmd_opts.allow_code:
+ return
+
+ display_result_data = [[], -1, ""]
+
+ def display(imgs, s=display_result_data[1], i=display_result_data[2]):
+ display_result_data[0] = imgs
+ display_result_data[1] = s
+ display_result_data[2] = i
+
+ from types import ModuleType
+ compiled = compile(code, '', 'exec')
+ module = ModuleType("testmodule")
+ module.__dict__.update(globals())
+ module.p = p
+ module.display = display
+ exec(compiled, module.__dict__)
+
+ return Processed(p, *display_result_data)
+
diff --git a/scripts/prompt_matrix.py b/scripts/prompt_matrix.py new file mode 100644 index 00000000..7087bcde --- /dev/null +++ b/scripts/prompt_matrix.py @@ -0,0 +1,82 @@ +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)
+
+ return processed
diff --git a/scripts/xy_grid.py b/scripts/xy_grid.py new file mode 100644 index 00000000..85fbe884 --- /dev/null +++ b/scripts/xy_grid.py @@ -0,0 +1,154 @@ +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 apply_field(field):
+ def fun(p, x, xs):
+ setattr(p, field, x)
+
+ return fun
+
+
+def apply_prompt(p, x, xs):
+ p.prompt = p.prompt.replace(xs[0], x)
+
+
+samplers_dict = {}
+for i, sampler in enumerate(modules.sd_samplers.samplers):
+ samplers_dict[sampler.name.lower()] = i
+ for alias in sampler.aliases:
+ samplers_dict[alias.lower()] = i
+
+
+def apply_sampler(p, x, xs):
+ sampler_index = samplers_dict.get(x.lower(), None)
+ print(x, sampler_index)
+ if sampler_index is None:
+ raise RuntimeError(f"Unknown sampler: {x}")
+
+ p.sampler_index = sampler_index
+
+
+def format_value_add_label(p, opt, x):
+ return f"{opt.label}: {x}"
+
+
+def format_value(p, opt, x):
+ return x
+
+
+AxisOption = namedtuple("AxisOption", ["label", "type", "apply", "format_value"])
+AxisOptionImg2Img = namedtuple("AxisOptionImg2Img", ["label", "type", "apply", "format_value"])
+
+
+axis_options = [
+ AxisOption("Seed", int, apply_field("seed"), format_value_add_label),
+ AxisOption("Steps", int, apply_field("steps"), format_value_add_label),
+ AxisOption("CFG Scale", float, apply_field("cfg_scale"), format_value_add_label),
+ AxisOption("Prompt S/R", str, apply_prompt, format_value),
+ AxisOption("Sampler", str, apply_prompt, format_value),
+ AxisOptionImg2Img("Denoising", float, apply_field("denoising_strength"), format_value_add_label) # as it is now all AxisOptionImg2Img items must go after AxisOption ones
+]
+
+
+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 "X/Y plot"
+
+ def ui(self, is_img2img):
+ current_axis_options = [x for x in axis_options if type(x) == AxisOption or type(x) == AxisOptionImg2Img and is_img2img]
+
+ with gr.Row():
+ x_type = gr.Dropdown(label="X type", choices=[x.label for x in current_axis_options], value=current_axis_options[0].label, visible=False, type="index", elem_id="x_type")
+ x_values = gr.Textbox(label="X values", visible=False, lines=1)
+
+ with gr.Row():
+ y_type = gr.Dropdown(label="Y type", choices=[x.label for x in current_axis_options], value=current_axis_options[1].label, visible=False, type="index", elem_id="y_type")
+ y_values = gr.Textbox(label="Y values", visible=False, lines=1)
+
+ return [x_type, x_values, y_type, y_values]
+
+ def run(self, p, x_type, x_values, y_type, y_values):
+ p.seed = int(random.randrange(4294967294) if p.seed == -1 else p.seed)
+
+ def process_axis(opt, vals):
+ valslist = [x.strip() for x in vals.split(",")]
+
+ if opt.type == int:
+ valslist_ext = []
+
+ for val in valslist:
+ if "-" in val:
+ s = val.split("-")
+ start = int(s[0])
+ end = int(s[1])+1
+ step = 1 if len(s) < 3 else int(s[2])
+ valslist_ext += list(range(start, end, step))
+ else:
+ valslist_ext.append(val)
+
+ valslist = valslist_ext
+
+ valslist = [opt.type(x) for x in valslist]
+
+ return valslist
+
+ x_opt = axis_options[x_type]
+ xs = process_axis(x_opt, x_values)
+
+ y_opt = axis_options[y_type]
+ ys = process_axis(y_opt, y_values)
+
+ def cell(x, y):
+ pc = copy(p)
+ x_opt.apply(pc, x, xs)
+ y_opt.apply(pc, y, ys)
+
+ return process_images(pc)
+
+ processed = draw_xy_grid(
+ xs=xs,
+ ys=ys,
+ x_label=lambda x: x_opt.format_value(p, x_opt, x),
+ y_label=lambda y: y_opt.format_value(p, y_opt, y),
+ cell=cell
+ )
+
+ images.save_image(processed.images[0], p.outpath_grids, "xy_grid", prompt=p.prompt, seed=processed.seed)
+
+ return processed
|