scripts

1 files changed, 154 insertions, 0 deletions

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