Merge branch 'dev' into efficient-vae-methods

javascript/localization.js

@@ -11,11 +11,11 @@ var ignore_ids_for_localization = {
     train_hypernetwork: 'OPTION',
     txt2img_styles: 'OPTION',
     img2img_styles: 'OPTION',
-    setting_random_artist_categories: 'SPAN',
-    setting_face_restoration_model: 'SPAN',
-    setting_realesrgan_enabled_models: 'SPAN',
-    extras_upscaler_1: 'SPAN',
-    extras_upscaler_2: 'SPAN',
+    setting_random_artist_categories: 'OPTION',
+    setting_face_restoration_model: 'OPTION',
+    setting_realesrgan_enabled_models: 'OPTION',
+    extras_upscaler_1: 'OPTION',
+    extras_upscaler_2: 'OPTION',
 };
 
 var re_num = /^[.\d]+$/;

modules/extra_networks.py

@@ -1,3 +1,5 @@
+import json
+import os
 import re
 from collections import defaultdict
 
@@ -177,3 +179,20 @@ def parse_prompts(prompts):
 
     return res, extra_data
 
+
+def get_user_metadata(filename):
+    if filename is None:
+        return {}
+
+    basename, ext = os.path.splitext(filename)
+    metadata_filename = basename + '.json'
+
+    metadata = {}
+    try:
+        if os.path.isfile(metadata_filename):
+            with open(metadata_filename, "r", encoding="utf8") as file:
+                metadata = json.load(file)
+    except Exception as e:
+        errors.display(e, f"reading extra network user metadata from {metadata_filename}")
+
+    return metadata

modules/img2img.py

@@ -3,7 +3,7 @@ from contextlib import closing
 from pathlib import Path
 
 import numpy as np
-from PIL import Image, ImageOps, ImageFilter, ImageEnhance, ImageChops, UnidentifiedImageError
+from PIL import Image, ImageOps, ImageFilter, ImageEnhance, UnidentifiedImageError
 import gradio as gr
 
 from modules import sd_samplers, images as imgutil
@@ -129,9 +129,7 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s
         mask = None
     elif mode == 2:  # inpaint
         image, mask = init_img_with_mask["image"], init_img_with_mask["mask"]
-        alpha_mask = ImageOps.invert(image.split()[-1]).convert('L').point(lambda x: 255 if x > 0 else 0, mode='1')
-        mask = mask.convert('L').point(lambda x: 255 if x > 128 else 0, mode='1')
-        mask = ImageChops.lighter(alpha_mask, mask).convert('L')
+        mask = mask.split()[-1].convert("L").point(lambda x: 255 if x > 128 else 0)
         image = image.convert("RGB")
     elif mode == 3:  # inpaint sketch
         image = inpaint_color_sketch

modules/prompt_parser.py

@@ -20,7 +20,7 @@ prompt: (emphasized | scheduled | alternate | plain | WHITESPACE)*
         | "(" prompt ":" prompt ")"
         | "[" prompt "]"
 scheduled: "[" [prompt ":"] prompt ":" [WHITESPACE] NUMBER [WHITESPACE] "]"
-alternate: "[" prompt ("|" prompt)+ "]"
+alternate: "[" prompt ("|" [prompt])+ "]"
 WHITESPACE: /\s+/
 plain: /([^\\\[\]():|]|\\.)+/
 %import common.SIGNED_NUMBER -> NUMBER
@@ -53,6 +53,10 @@ def get_learned_conditioning_prompt_schedules(prompts, steps):
     [[3, '((a][:b:c '], [10, '((a][:b:c d']]
     >>> g("[a|(b:1.1)]")
     [[1, 'a'], [2, '(b:1.1)'], [3, 'a'], [4, '(b:1.1)'], [5, 'a'], [6, '(b:1.1)'], [7, 'a'], [8, '(b:1.1)'], [9, 'a'], [10, '(b:1.1)']]
+    >>> g("[fe|]male")
+    [[1, 'female'], [2, 'male'], [3, 'female'], [4, 'male'], [5, 'female'], [6, 'male'], [7, 'female'], [8, 'male'], [9, 'female'], [10, 'male']]
+    >>> g("[fe|||]male")
+    [[1, 'female'], [2, 'male'], [3, 'male'], [4, 'male'], [5, 'female'], [6, 'male'], [7, 'male'], [8, 'male'], [9, 'female'], [10, 'male']]
     """
 
     def collect_steps(steps, tree):
@@ -78,7 +82,8 @@ def get_learned_conditioning_prompt_schedules(prompts, steps):
                 before, after, _, when, _ = args
                 yield before or () if step <= when else after
             def alternate(self, args):
-                yield next(args[(step - 1)%len(args)])
+                args = ["" if not arg else arg for arg in args]
+                yield args[(step - 1) % len(args)]
             def start(self, args):
                 def flatten(x):
                     if type(x) == str:

modules/sd_models.py

@@ -303,12 +303,13 @@ def load_model_weights(model, checkpoint_info: CheckpointInfo, state_dict, timer
         sd_models_xl.extend_sdxl(model)
 
     model.load_state_dict(state_dict, strict=False)
-    del state_dict
     timer.record("apply weights to model")
 
     if shared.opts.sd_checkpoint_cache > 0:
         # cache newly loaded model
-        checkpoints_loaded[checkpoint_info] = model.state_dict().copy()
+        checkpoints_loaded[checkpoint_info] = state_dict
+
+    del state_dict
 
     if shared.cmd_opts.opt_channelslast:
         model.to(memory_format=torch.channels_last)

modules/sd_vae.py

@@ -1,6 +1,6 @@
 import os
 import collections
-from modules import paths, shared, devices, script_callbacks, sd_models
+from modules import paths, shared, devices, script_callbacks, sd_models, extra_networks
 import glob
 from copy import deepcopy
 
@@ -16,6 +16,7 @@ checkpoint_info = None
 
 checkpoints_loaded = collections.OrderedDict()
 
+
 def get_base_vae(model):
     if base_vae is not None and checkpoint_info == model.sd_checkpoint_info and model:
         return base_vae
@@ -100,6 +101,16 @@ def resolve_vae(checkpoint_file):
     if shared.cmd_opts.vae_path is not None:
         return shared.cmd_opts.vae_path, 'from commandline argument'
 
+    metadata = extra_networks.get_user_metadata(checkpoint_file)
+    vae_metadata = metadata.get("vae", None)
+    if vae_metadata is not None and vae_metadata != "Automatic":
+        if vae_metadata == "None":
+            return None, None
+
+        vae_from_metadata = vae_dict.get(vae_metadata, None)
+        if vae_from_metadata is not None:
+            return vae_from_metadata, "from user metadata"
+
     is_automatic = shared.opts.sd_vae in {"Automatic", "auto"}  # "auto" for people with old config
 
     vae_near_checkpoint = find_vae_near_checkpoint(checkpoint_file)

modules/ui.py

@@ -585,14 +585,15 @@ def create_ui():
                 (width, "Size-1"),
                 (height, "Size-2"),
                 (batch_size, "Batch size"),
+                (seed_checkbox, lambda d: "Variation seed" in d or "Seed resize from-1" in d),
                 (subseed, "Variation seed"),
                 (subseed_strength, "Variation seed strength"),
                 (seed_resize_from_w, "Seed resize from-1"),
                 (seed_resize_from_h, "Seed resize from-2"),
                 (toprow.ui_styles.dropdown, lambda d: d["Styles array"] if isinstance(d.get("Styles array"), list) else gr.update()),
                 (denoising_strength, "Denoising strength"),
-                (enable_hr, lambda d: "Denoising strength" in d),
-                (hr_options, lambda d: gr.Row.update(visible="Denoising strength" in d)),
+                (enable_hr, lambda d: "Denoising strength" in d and ("Hires upscale" in d or "Hires upscaler" in d or "Hires resize-1" in d)),
+                (hr_options, lambda d: gr.Row.update(visible="Denoising strength" in d and ("Hires upscale" in d or "Hires upscaler" in d or "Hires resize-1" in d))),
                 (hr_scale, "Hires upscale"),
                 (hr_upscaler, "Hires upscaler"),
                 (hr_second_pass_steps, "Hires steps"),
@@ -666,11 +667,11 @@ def create_ui():
                         add_copy_image_controls('sketch', sketch)
 
                     with gr.TabItem('Inpaint', id='inpaint', elem_id="img2img_inpaint_tab") as tab_inpaint:
-                        init_img_with_mask = gr.Image(label="Image for inpainting with mask", show_label=False, elem_id="img2maskimg", source="upload", interactive=True, type="pil", tool="sketch", image_mode="RGBA", height=opts.img2img_editor_height)
+                        init_img_with_mask = gr.Image(label="Image for inpainting with mask", show_label=False, elem_id="img2maskimg", source="upload", interactive=True, type="pil", tool="sketch", image_mode="RGBA", height=opts.img2img_editor_height, brush_color='#ffffff')
                         add_copy_image_controls('inpaint', init_img_with_mask)
 
                     with gr.TabItem('Inpaint sketch', id='inpaint_sketch', elem_id="img2img_inpaint_sketch_tab") as tab_inpaint_color:
-                        inpaint_color_sketch = gr.Image(label="Color sketch inpainting", show_label=False, elem_id="inpaint_sketch", source="upload", interactive=True, type="pil", tool="color-sketch", image_mode="RGBA", height=opts.img2img_editor_height)
+                        inpaint_color_sketch = gr.Image(label="Color sketch inpainting", show_label=False, elem_id="inpaint_sketch", source="upload", interactive=True, type="pil", tool="color-sketch", image_mode="RGBA", height=opts.img2img_editor_height, brush_color='#ffffff')
                         inpaint_color_sketch_orig = gr.State(None)
                         add_copy_image_controls('inpaint_sketch', inpaint_color_sketch)
 
@@ -972,6 +973,7 @@ def create_ui():
                 (width, "Size-1"),
                 (height, "Size-2"),
                 (batch_size, "Batch size"),
+                (seed_checkbox, lambda d: "Variation seed" in d or "Seed resize from-1" in d),
                 (subseed, "Variation seed"),
                 (subseed_strength, "Variation seed strength"),
                 (seed_resize_from_w, "Seed resize from-1"),

modules/ui_common.py

@@ -239,13 +239,13 @@ def create_refresh_button(refresh_component, refresh_method, refreshed_args, ele
             for comp in refresh_components:
                 setattr(comp, k, v)
 
-        return [gr.update(**(args or {})) for _ in refresh_components]
+        return (gr.update(**(args or {})) for _ in refresh_components) if len(refresh_components) > 1 else gr.update(**(args or {}))
 
     refresh_button = ToolButton(value=refresh_symbol, elem_id=elem_id, tooltip=f"{label}: refresh" if label else "Refresh")
     refresh_button.click(
         fn=refresh,
         inputs=[],
-        outputs=[*refresh_components]
+        outputs=refresh_components
     )
     return refresh_button
 

modules/ui_extra_networks.py

@@ -2,7 +2,7 @@ import os.path
 import urllib.parse
 from pathlib import Path
 
-from modules import shared, ui_extra_networks_user_metadata, errors
+from modules import shared, ui_extra_networks_user_metadata, errors, extra_networks
 from modules.images import read_info_from_image, save_image_with_geninfo
 from modules.ui import up_down_symbol
 import gradio as gr
@@ -101,16 +101,7 @@ class ExtraNetworksPage:
 
     def read_user_metadata(self, item):
         filename = item.get("filename", None)
-        basename, ext = os.path.splitext(filename)
-        metadata_filename = basename + '.json'
-
-        metadata = {}
-        try:
-            if os.path.isfile(metadata_filename):
-                with open(metadata_filename, "r", encoding="utf8") as file:
-                    metadata = json.load(file)
-        except Exception as e:
-            errors.display(e, f"reading extra network user metadata from {metadata_filename}")
+        metadata = extra_networks.get_user_metadata(filename)
 
         desc = metadata.get("description", None)
         if desc is not None:

modules/ui_extra_networks_checkpoints.py

@@ -3,6 +3,7 @@ import os
 
 from modules import shared, ui_extra_networks, sd_models
 from modules.ui_extra_networks import quote_js
+from modules.ui_extra_networks_checkpoints_user_metadata import CheckpointUserMetadataEditor
 
 
 class ExtraNetworksPageCheckpoints(ui_extra_networks.ExtraNetworksPage):
@@ -34,3 +35,5 @@ class ExtraNetworksPageCheckpoints(ui_extra_networks.ExtraNetworksPage):
     def allowed_directories_for_previews(self):
         return [v for v in [shared.cmd_opts.ckpt_dir, sd_models.model_path] if v is not None]
 
+    def create_user_metadata_editor(self, ui, tabname):
+        return CheckpointUserMetadataEditor(ui, tabname, self)

modules/ui_extra_networks_checkpoints_user_metadata.py

@@ -0,0 +1,60 @@
+import gradio as gr
+
+from modules import ui_extra_networks_user_metadata, sd_vae
+from modules.ui_common import create_refresh_button
+
+
+class CheckpointUserMetadataEditor(ui_extra_networks_user_metadata.UserMetadataEditor):
+    def __init__(self, ui, tabname, page):
+        super().__init__(ui, tabname, page)
+
+        self.select_vae = None
+
+    def save_user_metadata(self, name, desc, notes, vae):
+        user_metadata = self.get_user_metadata(name)
+        user_metadata["description"] = desc
+        user_metadata["notes"] = notes
+        user_metadata["vae"] = vae
+
+        self.write_user_metadata(name, user_metadata)
+
+    def put_values_into_components(self, name):
+        user_metadata = self.get_user_metadata(name)
+        values = super().put_values_into_components(name)
+
+        return [
+            *values[0:5],
+            user_metadata.get('vae', ''),
+        ]
+
+    def create_editor(self):
+        self.create_default_editor_elems()
+
+        with gr.Row():
+            self.select_vae = gr.Dropdown(choices=["Automatic", "None"] + list(sd_vae.vae_dict), value="None", label="Preferred VAE", elem_id="checpoint_edit_user_metadata_preferred_vae")
+            create_refresh_button(self.select_vae, sd_vae.refresh_vae_list, lambda: {"choices": ["Automatic", "None"] + list(sd_vae.vae_dict)}, "checpoint_edit_user_metadata_refresh_preferred_vae")
+
+        self.edit_notes = gr.TextArea(label='Notes', lines=4)
+
+        self.create_default_buttons()
+
+        viewed_components = [
+            self.edit_name,
+            self.edit_description,
+            self.html_filedata,
+            self.html_preview,
+            self.edit_notes,
+            self.select_vae,
+        ]
+
+        self.button_edit\
+            .click(fn=self.put_values_into_components, inputs=[self.edit_name_input], outputs=viewed_components)\
+            .then(fn=lambda: gr.update(visible=True), inputs=[], outputs=[self.box])
+
+        edited_components = [
+            self.edit_description,
+            self.edit_notes,
+            self.select_vae,
+        ]
+
+        self.setup_save_handler(self.button_save, self.save_user_metadata, edited_components)

modules/ui_settings.py

@@ -158,7 +158,7 @@ class UiSettings:
                     loadsave.create_ui()
 
                 with gr.TabItem("Sysinfo", id="sysinfo", elem_id="settings_tab_sysinfo"):
-                    gr.HTML('<a href="./internal/sysinfo-download" class="sysinfo_big_link" download>Download system info</a><br /><a href="./internal/sysinfo">(or open as text in a new page)</a>', elem_id="sysinfo_download")
+                    gr.HTML('<a href="./internal/sysinfo-download" class="sysinfo_big_link" download>Download system info</a><br /><a href="./internal/sysinfo" target="_blank">(or open as text in a new page)</a>', elem_id="sysinfo_download")
 
                     with gr.Row():
                         with gr.Column(scale=1):

style.css

@@ -140,6 +140,10 @@ div.styler{
     background: var(--background-fill-primary);
 }
 
+.block.gradio-textbox{
+    overflow: visible !important;
+}
+
 
 /* general styled components */