scripts

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'):

script.js

@@ -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",

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)
+

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

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