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@ -10,7 +10,7 @@ import numpy as np
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import modules.scripts as scripts
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import gradio as gr
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from modules import images, paths, sd_samplers, processing
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from modules import images, paths, sd_samplers, processing, sd_models, sd_vae
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from modules.hypernetworks import hypernetwork
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from modules.processing import process_images, Processed, StableDiffusionProcessingTxt2Img
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from modules.shared import opts, cmd_opts, state
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@ -22,8 +22,9 @@ import glob
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import os
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import re
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from modules.ui_components import ToolButton
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up_down_arrow_symbol = "\u2195\ufe0f"
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fill_values_symbol = "\U0001f4d2" # 📒
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def apply_field(field):
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@ -178,34 +179,49 @@ def str_permutations(x):
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"""dummy function for specifying it in AxisOption's type when you want to get a list of permutations"""
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return x
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AxisOption = namedtuple("AxisOption", ["label", "type", "apply", "format_value", "confirm", "cost"])
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AxisOptionImg2Img = namedtuple("AxisOptionImg2Img", ["label", "type", "apply", "format_value", "confirm", "cost"])
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class AxisOption:
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def __init__(self, label, type, apply, format_value=format_value_add_label, confirm=None, cost=0.0, choices=None):
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self.label = label
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self.type = type
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self.apply = apply
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self.format_value = format_value
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self.confirm = confirm
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self.cost = cost
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self.choices = choices
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self.is_img2img = False
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class AxisOptionImg2Img(AxisOption):
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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self.is_img2img = False
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axis_options = [
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AxisOption("Nothing", str, do_nothing, format_nothing, None, 0),
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AxisOption("Seed", int, apply_field("seed"), format_value_add_label, None, 0),
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AxisOption("Var. seed", int, apply_field("subseed"), format_value_add_label, None, 0),
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AxisOption("Var. strength", float, apply_field("subseed_strength"), format_value_add_label, None, 0),
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AxisOption("Steps", int, apply_field("steps"), format_value_add_label, None, 0),
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AxisOption("CFG Scale", float, apply_field("cfg_scale"), format_value_add_label, None, 0),
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AxisOption("Prompt S/R", str, apply_prompt, format_value, None, 0),
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AxisOption("Prompt order", str_permutations, apply_order, format_value_join_list, None, 0),
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AxisOption("Sampler", str, apply_sampler, format_value, confirm_samplers, 0),
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AxisOption("Checkpoint name", str, apply_checkpoint, format_value, confirm_checkpoints, 1.0),
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AxisOption("Hypernetwork", str, apply_hypernetwork, format_value, confirm_hypernetworks, 0.2),
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AxisOption("Hypernet str.", float, apply_hypernetwork_strength, format_value_add_label, None, 0),
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AxisOption("Sigma Churn", float, apply_field("s_churn"), format_value_add_label, None, 0),
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AxisOption("Sigma min", float, apply_field("s_tmin"), format_value_add_label, None, 0),
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AxisOption("Sigma max", float, apply_field("s_tmax"), format_value_add_label, None, 0),
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AxisOption("Sigma noise", float, apply_field("s_noise"), format_value_add_label, None, 0),
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AxisOption("Eta", float, apply_field("eta"), format_value_add_label, None, 0),
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AxisOption("Clip skip", int, apply_clip_skip, format_value_add_label, None, 0),
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AxisOption("Denoising", float, apply_field("denoising_strength"), format_value_add_label, None, 0),
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AxisOption("Hires upscaler", str, apply_field("hr_upscaler"), format_value_add_label, None, 0),
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AxisOption("Cond. Image Mask Weight", float, apply_field("inpainting_mask_weight"), format_value_add_label, None, 0),
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AxisOption("VAE", str, apply_vae, format_value_add_label, None, 0.7),
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AxisOption("Styles", str, apply_styles, format_value_add_label, None, 0),
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AxisOption("Nothing", str, do_nothing, format_value=format_nothing),
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AxisOption("Seed", int, apply_field("seed")),
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AxisOption("Var. seed", int, apply_field("subseed")),
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AxisOption("Var. strength", float, apply_field("subseed_strength")),
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AxisOption("Steps", int, apply_field("steps")),
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AxisOption("CFG Scale", float, apply_field("cfg_scale")),
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AxisOption("Prompt S/R", str, apply_prompt, format_value=format_value),
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AxisOption("Prompt order", str_permutations, apply_order, format_value=format_value_join_list),
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AxisOption("Sampler", str, apply_sampler, format_value=format_value, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers]),
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AxisOption("Checkpoint name", str, apply_checkpoint, format_value=format_value, confirm=confirm_checkpoints, cost=1.0, choices=lambda: list(sd_models.checkpoints_list)),
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AxisOption("Hypernetwork", str, apply_hypernetwork, format_value=format_value, confirm=confirm_hypernetworks, cost=0.2, choices=lambda: list(shared.hypernetworks)),
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AxisOption("Hypernet str.", float, apply_hypernetwork_strength),
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AxisOption("Sigma Churn", float, apply_field("s_churn")),
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AxisOption("Sigma min", float, apply_field("s_tmin")),
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AxisOption("Sigma max", float, apply_field("s_tmax")),
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AxisOption("Sigma noise", float, apply_field("s_noise")),
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AxisOption("Eta", float, apply_field("eta")),
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AxisOption("Clip skip", int, apply_clip_skip),
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AxisOption("Denoising", float, apply_field("denoising_strength")),
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AxisOption("Hires upscaler", str, apply_field("hr_upscaler"), choices=lambda: [x.name for x in shared.sd_upscalers]),
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AxisOption("Cond. Image Mask Weight", float, apply_field("inpainting_mask_weight")),
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AxisOption("VAE", str, apply_vae, cost=0.7, choices=lambda: list(sd_vae.vae_dict)),
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AxisOption("Styles", str, apply_styles, choices=lambda: list(shared.prompt_styles.styles)),
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]
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@ -262,7 +278,7 @@ def draw_xy_grid(p, xs, ys, x_labels, y_labels, cell, draw_legend, include_lone_
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if not processed_result:
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print("Unexpected error: draw_xy_grid failed to return even a single processed image")
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return Processed()
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return Processed(p, [])
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grid = images.image_grid(image_cache, rows=len(ys))
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if draw_legend:
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@ -302,23 +318,25 @@ class Script(scripts.Script):
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return "X/Y plot"
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def ui(self, is_img2img):
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current_axis_options = [x for x in axis_options if type(x) == AxisOption or type(x) == AxisOptionImg2Img and is_img2img]
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current_axis_options = [x for x in axis_options if type(x) == AxisOption or x.is_img2img and is_img2img]
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with gr.Row():
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with gr.Column(scale=1, elem_id="xy_grid_button_column"):
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swap_axes_button = gr.Button(value=up_down_arrow_symbol, elem_id="xy_grid_swap_axes")
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with gr.Column(scale=19):
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with gr.Row():
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x_type = gr.Dropdown(label="X type", choices=[x.label for x in current_axis_options], value=current_axis_options[1].label, type="index", elem_id=self.elem_id("x_type"))
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x_values = gr.Textbox(label="X values", lines=1, elem_id=self.elem_id("x_values"))
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fill_x_button = ToolButton(value=fill_values_symbol, elem_id="xy_grid_fill_x_tool_button", visible=False)
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with gr.Row():
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y_type = gr.Dropdown(label="Y type", choices=[x.label for x in current_axis_options], value=current_axis_options[0].label, type="index", elem_id=self.elem_id("y_type"))
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y_values = gr.Textbox(label="Y values", lines=1, elem_id=self.elem_id("y_values"))
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draw_legend = gr.Checkbox(label='Draw legend', value=True, elem_id=self.elem_id("draw_legend"))
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include_lone_images = gr.Checkbox(label='Include Separate Images', value=False, elem_id=self.elem_id("include_lone_images"))
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no_fixed_seeds = gr.Checkbox(label='Keep -1 for seeds', value=False, elem_id=self.elem_id("no_fixed_seeds"))
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fill_y_button = ToolButton(value=fill_values_symbol, elem_id="xy_grid_fill_y_tool_button", visible=False)
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with gr.Row(variant="compact"):
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draw_legend = gr.Checkbox(label='Draw legend', value=True, elem_id=self.elem_id("draw_legend"))
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include_lone_images = gr.Checkbox(label='Include Separate Images', value=False, elem_id=self.elem_id("include_lone_images"))
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no_fixed_seeds = gr.Checkbox(label='Keep -1 for seeds', value=False, elem_id=self.elem_id("no_fixed_seeds"))
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swap_axes_button = gr.Button(value="Swap axes", elem_id="xy_grid_swap_axes_button")
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def swap_axes(x_type, x_values, y_type, y_values):
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nonlocal current_axis_options
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@ -327,6 +345,19 @@ class Script(scripts.Script):
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swap_args = [x_type, x_values, y_type, y_values]
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swap_axes_button.click(swap_axes, inputs=swap_args, outputs=swap_args)
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def fill(x_type):
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axis = axis_options[x_type]
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return ", ".join(axis.choices()) if axis.choices else gr.update()
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fill_x_button.click(fn=fill, inputs=[x_type], outputs=[x_values])
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fill_y_button.click(fn=fill, inputs=[y_type], outputs=[y_values])
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def select_axis(x_type):
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return gr.Button.update(visible=axis_options[x_type].choices is not None)
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x_type.change(fn=select_axis, inputs=[x_type], outputs=[fill_x_button])
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y_type.change(fn=select_axis, inputs=[y_type], outputs=[fill_y_button])
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return [x_type, x_values, y_type, y_values, draw_legend, include_lone_images, no_fixed_seeds]
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def run(self, p, x_type, x_values, y_type, y_values, draw_legend, include_lone_images, no_fixed_seeds):
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