diff options
| -rw-r--r-- | javascript/ui.js | 21 | ||||
| -rw-r--r-- | modules/api/api.py | 18 | ||||
| -rw-r--r-- | modules/images.py | 15 | ||||
| -rwxr-xr-x | modules/processing.py | 32 | ||||
| -rw-r--r-- | modules/prompt_parser.py | 2 | ||||
| -rw-r--r-- | modules/scripts.py | 4 | ||||
| -rw-r--r-- | modules/sd_samplers_common.py | 2 | ||||
| -rw-r--r-- | modules/sd_vae.py | 3 | ||||
| -rw-r--r-- | modules/shared_options.py | 2 | ||||
| -rw-r--r-- | modules/ui_common.py | 2 | ||||
| -rw-r--r-- | style.css | 11 | ||||
| -rwxr-xr-x | webui.sh | 2 |
12 files changed, 63 insertions, 51 deletions
diff --git a/javascript/ui.js b/javascript/ui.js index bade3089..bedcbf3e 100644 --- a/javascript/ui.js +++ b/javascript/ui.js @@ -19,28 +19,11 @@ function all_gallery_buttons() { } function selected_gallery_button() { - var allCurrentButtons = gradioApp().querySelectorAll('[style="display: block;"].tabitem div[id$=_gallery].gradio-gallery .thumbnail-item.thumbnail-small.selected'); - var visibleCurrentButton = null; - allCurrentButtons.forEach(function(elem) { - if (elem.parentElement.offsetParent) { - visibleCurrentButton = elem; - } - }); - return visibleCurrentButton; + return all_gallery_buttons().find(elem => elem.classList.contains('selected')) ?? null; } function selected_gallery_index() { - var buttons = all_gallery_buttons(); - var button = selected_gallery_button(); - - var result = -1; - buttons.forEach(function(v, i) { - if (v == button) { - result = i; - } - }); - - return result; + return all_gallery_buttons().findIndex(elem => elem.classList.contains('selected')); } function extract_image_from_gallery(gallery) { diff --git a/modules/api/api.py b/modules/api/api.py index fb2c2ce9..6e8d21a3 100644 --- a/modules/api/api.py +++ b/modules/api/api.py @@ -23,8 +23,7 @@ from modules.textual_inversion.textual_inversion import create_embedding, train_ from modules.textual_inversion.preprocess import preprocess from modules.hypernetworks.hypernetwork import create_hypernetwork, train_hypernetwork from PIL import PngImagePlugin,Image -from modules.sd_models import checkpoints_list, unload_model_weights, reload_model_weights, checkpoint_aliases -from modules.sd_vae import vae_dict +from modules.sd_models import unload_model_weights, reload_model_weights, checkpoint_aliases from modules.sd_models_config import find_checkpoint_config_near_filename from modules.realesrgan_model import get_realesrgan_models from modules import devices @@ -57,6 +56,15 @@ def setUpscalers(req: dict): def decode_base64_to_image(encoding): + if encoding.startswith("http://") or encoding.startswith("https://"): + import requests + response = requests.get(encoding, timeout=30, headers={'user-agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/62.0.3202.94 Safari/537.36'}) + try: + image = Image.open(BytesIO(response.content)) + return image + except Exception as e: + raise HTTPException(status_code=500, detail="Invalid image url") from e + if encoding.startswith("data:image/"): encoding = encoding.split(";")[1].split(",")[1] try: @@ -567,10 +575,12 @@ class Api: ] def get_sd_models(self): - return [{"title": x.title, "model_name": x.model_name, "hash": x.shorthash, "sha256": x.sha256, "filename": x.filename, "config": find_checkpoint_config_near_filename(x)} for x in checkpoints_list.values()] + import modules.sd_models as sd_models + return [{"title": x.title, "model_name": x.model_name, "hash": x.shorthash, "sha256": x.sha256, "filename": x.filename, "config": find_checkpoint_config_near_filename(x)} for x in sd_models.checkpoints_list.values()] def get_sd_vaes(self): - return [{"model_name": x, "filename": vae_dict[x]} for x in vae_dict.keys()] + import modules.sd_vae as sd_vae + return [{"model_name": x, "filename": sd_vae.vae_dict[x]} for x in sd_vae.vae_dict.keys()] def get_hypernetworks(self): return [{"name": name, "path": shared.hypernetworks[name]} for name in shared.hypernetworks] diff --git a/modules/images.py b/modules/images.py index 019c1d60..a6b4fb1e 100644 --- a/modules/images.py +++ b/modules/images.py @@ -355,7 +355,9 @@ class FilenameGenerator: 'date': lambda self: datetime.datetime.now().strftime('%Y-%m-%d'),
'datetime': lambda self, *args: self.datetime(*args), # accepts formats: [datetime], [datetime<Format>], [datetime<Format><Time Zone>]
'job_timestamp': lambda self: getattr(self.p, "job_timestamp", shared.state.job_timestamp),
- 'prompt_hash': lambda self: hashlib.sha256(self.prompt.encode()).hexdigest()[0:8],
+ 'prompt_hash': lambda self, *args: self.string_hash(self.prompt, *args),
+ 'negative_prompt_hash': lambda self, *args: self.string_hash(self.p.negative_prompt, *args),
+ 'full_prompt_hash': lambda self, *args: self.string_hash(f"{self.p.prompt} {self.p.negative_prompt}", *args), # a space in between to create a unique string
'prompt': lambda self: sanitize_filename_part(self.prompt),
'prompt_no_styles': lambda self: self.prompt_no_style(),
'prompt_spaces': lambda self: sanitize_filename_part(self.prompt, replace_spaces=False),
@@ -368,7 +370,8 @@ class FilenameGenerator: 'denoising': lambda self: self.p.denoising_strength if self.p and self.p.denoising_strength else NOTHING_AND_SKIP_PREVIOUS_TEXT,
'user': lambda self: self.p.user,
'vae_filename': lambda self: self.get_vae_filename(),
- 'none': lambda self: '', # Overrides the default so you can get just the sequence number
+ 'none': lambda self: '', # Overrides the default, so you can get just the sequence number
+ 'image_hash': lambda self, *args: self.image_hash(*args) # accepts formats: [image_hash<length>] default full hash
}
default_time_format = '%Y%m%d%H%M%S'
@@ -448,6 +451,14 @@ class FilenameGenerator: return sanitize_filename_part(formatted_time, replace_spaces=False)
+ def image_hash(self, *args):
+ length = int(args[0]) if (args and args[0] != "") else None
+ return hashlib.sha256(self.image.tobytes()).hexdigest()[0:length]
+
+ def string_hash(self, text, *args):
+ length = int(args[0]) if (args and args[0] != "") else 8
+ return hashlib.sha256(text.encode()).hexdigest()[0:length]
+
def apply(self, x):
res = ''
diff --git a/modules/processing.py b/modules/processing.py index e62db62f..d4926524 100755 --- a/modules/processing.py +++ b/modules/processing.py @@ -386,14 +386,14 @@ class StableDiffusionProcessing: return self.token_merging_ratio or opts.token_merging_ratio
def setup_prompts(self):
- if type(self.prompt) == list:
+ if isinstance(self.prompt,list):
self.all_prompts = self.prompt
- elif type(self.negative_prompt) == list:
+ elif isinstance(self.negative_prompt, list):
self.all_prompts = [self.prompt] * len(self.negative_prompt)
else:
self.all_prompts = self.batch_size * self.n_iter * [self.prompt]
- if type(self.negative_prompt) == list:
+ if isinstance(self.negative_prompt, list):
self.all_negative_prompts = self.negative_prompt
else:
self.all_negative_prompts = [self.negative_prompt] * len(self.all_prompts)
@@ -512,10 +512,10 @@ class Processed: self.s_noise = p.s_noise
self.s_min_uncond = p.s_min_uncond
self.sampler_noise_scheduler_override = p.sampler_noise_scheduler_override
- self.prompt = self.prompt if type(self.prompt) != list else self.prompt[0]
- self.negative_prompt = self.negative_prompt if type(self.negative_prompt) != list else self.negative_prompt[0]
- self.seed = int(self.seed if type(self.seed) != list else self.seed[0]) if self.seed is not None else -1
- self.subseed = int(self.subseed if type(self.subseed) != list else self.subseed[0]) if self.subseed is not None else -1
+ self.prompt = self.prompt if not isinstance(self.prompt, list) else self.prompt[0]
+ self.negative_prompt = self.negative_prompt if not isinstance(self.negative_prompt, list) else self.negative_prompt[0]
+ self.seed = int(self.seed if not isinstance(self.seed, list) else self.seed[0]) if self.seed is not None else -1
+ self.subseed = int(self.subseed if not isinstance(self.subseed, list) else self.subseed[0]) if self.subseed is not None else -1
self.is_using_inpainting_conditioning = p.is_using_inpainting_conditioning
self.all_prompts = all_prompts or p.all_prompts or [self.prompt]
@@ -702,11 +702,8 @@ def process_images(p: StableDiffusionProcessing) -> Processed: stored_opts = {k: opts.data[k] for k in p.override_settings.keys()}
try:
- # after running refiner, the refiner model is not unloaded - webui swaps back to main model here
- if shared.sd_model.sd_checkpoint_info.title != opts.sd_model_checkpoint:
- sd_models.reload_model_weights()
-
# if no checkpoint override or the override checkpoint can't be found, remove override entry and load opts checkpoint
+ # and if after running refiner, the refiner model is not unloaded - webui swaps back to main model here, if model over is present it will be reloaded afterwards
if sd_models.checkpoint_aliases.get(p.override_settings.get('sd_model_checkpoint')) is None:
p.override_settings.pop('sd_model_checkpoint', None)
sd_models.reload_model_weights()
@@ -741,7 +738,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed: def process_images_inner(p: StableDiffusionProcessing) -> Processed:
"""this is the main loop that both txt2img and img2img use; it calls func_init once inside all the scopes and func_sample once per batch"""
- if type(p.prompt) == list:
+ if isinstance(p.prompt, list):
assert(len(p.prompt) > 0)
else:
assert p.prompt is not None
@@ -772,12 +769,12 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed: p.setup_prompts()
- if type(seed) == list:
+ if isinstance(seed, list):
p.all_seeds = seed
else:
p.all_seeds = [int(seed) + (x if p.subseed_strength == 0 else 0) for x in range(len(p.all_prompts))]
- if type(subseed) == list:
+ if isinstance(subseed, list):
p.all_subseeds = subseed
else:
p.all_subseeds = [int(subseed) + x for x in range(len(p.all_prompts))]
@@ -1155,6 +1152,9 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing): devices.torch_gc()
def sample_hr_pass(self, samples, decoded_samples, seeds, subseeds, subseed_strength, prompts):
+ if shared.state.interrupted:
+ return samples
+
self.is_hr_pass = True
target_width = self.hr_upscale_to_x
@@ -1268,12 +1268,12 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing): if self.hr_negative_prompt == '':
self.hr_negative_prompt = self.negative_prompt
- if type(self.hr_prompt) == list:
+ if isinstance(self.hr_prompt, list):
self.all_hr_prompts = self.hr_prompt
else:
self.all_hr_prompts = self.batch_size * self.n_iter * [self.hr_prompt]
- if type(self.hr_negative_prompt) == list:
+ if isinstance(self.hr_negative_prompt, list):
self.all_hr_negative_prompts = self.hr_negative_prompt
else:
self.all_hr_negative_prompts = self.batch_size * self.n_iter * [self.hr_negative_prompt]
diff --git a/modules/prompt_parser.py b/modules/prompt_parser.py index 32d214e3..e811ae99 100644 --- a/modules/prompt_parser.py +++ b/modules/prompt_parser.py @@ -86,7 +86,7 @@ def get_learned_conditioning_prompt_schedules(prompts, steps): yield args[(step - 1) % len(args)]
def start(self, args):
def flatten(x):
- if type(x) == str:
+ if isinstance(x, str):
yield x
else:
for gen in x:
diff --git a/modules/scripts.py b/modules/scripts.py index fcab5d3a..e8518ad0 100644 --- a/modules/scripts.py +++ b/modules/scripts.py @@ -269,7 +269,7 @@ class Script: """helper function to generate id for a HTML element, constructs final id out of script name, tab and user-supplied item_id"""
need_tabname = self.show(True) == self.show(False)
- tabkind = 'img2img' if self.is_img2img else 'txt2txt'
+ tabkind = 'img2img' if self.is_img2img else 'txt2img'
tabname = f"{tabkind}_" if need_tabname else ""
title = re.sub(r'[^a-z_0-9]', '', re.sub(r'\s', '_', self.title().lower()))
@@ -289,7 +289,7 @@ class ScriptBuiltinUI(Script): """helper function to generate id for a HTML element, constructs final id out of tab and user-supplied item_id"""
need_tabname = self.show(True) == self.show(False)
- tabname = ('img2img' if self.is_img2img else 'txt2txt') + "_" if need_tabname else ""
+ tabname = ('img2img' if self.is_img2img else 'txt2img') + "_" if need_tabname else ""
return f'{tabname}{item_id}'
diff --git a/modules/sd_samplers_common.py b/modules/sd_samplers_common.py index 7dc79ea8..f0bc8e6a 100644 --- a/modules/sd_samplers_common.py +++ b/modules/sd_samplers_common.py @@ -36,7 +36,7 @@ approximation_indexes = {"Full": 0, "Approx NN": 1, "Approx cheap": 2, "TAESD": def samples_to_images_tensor(sample, approximation=None, model=None):
'''latents -> images [-1, 1]'''
- if approximation is None:
+ if approximation is None or (shared.state.interrupted and opts.live_preview_fast_interrupt):
approximation = approximation_indexes.get(opts.show_progress_type, 0)
if approximation == 2:
diff --git a/modules/sd_vae.py b/modules/sd_vae.py index 4b98b3c2..dbade067 100644 --- a/modules/sd_vae.py +++ b/modules/sd_vae.py @@ -70,7 +70,6 @@ def get_filename(filepath): def refresh_vae_list(): - global vae_dict vae_dict.clear() paths = [ @@ -104,7 +103,7 @@ def refresh_vae_list(): name = get_filename(filepath) vae_dict[name] = filepath - vae_dict = dict(sorted(vae_dict.items(), key=lambda item: shared.natural_sort_key(item[0]))) + vae_dict.update(dict(sorted(vae_dict.items(), key=lambda item: shared.natural_sort_key(item[0])))) def find_vae_near_checkpoint(checkpoint_file): diff --git a/modules/shared_options.py b/modules/shared_options.py index 79cbb92e..8630d474 100644 --- a/modules/shared_options.py +++ b/modules/shared_options.py @@ -232,6 +232,7 @@ options_templates.update(options_section(('ui', "User interface"), { "localization": OptionInfo("None", "Localization", gr.Dropdown, lambda: {"choices": ["None"] + list(localization.localizations.keys())}, refresh=lambda: localization.list_localizations(cmd_opts.localizations_dir)).needs_reload_ui(),
"gradio_theme": OptionInfo("Default", "Gradio theme", ui_components.DropdownEditable, lambda: {"choices": ["Default"] + shared_gradio_themes.gradio_hf_hub_themes}).info("you can also manually enter any of themes from the <a href='https://huggingface.co/spaces/gradio/theme-gallery'>gallery</a>.").needs_reload_ui(),
"gradio_themes_cache": OptionInfo(True, "Cache gradio themes locally").info("disable to update the selected Gradio theme"),
+ "gallery_height": OptionInfo("", "Gallery height", gr.Textbox).info("an be any valid CSS value").needs_reload_ui(),
"return_grid": OptionInfo(True, "Show grid in results for web"),
"do_not_show_images": OptionInfo(False, "Do not show any images in results for web"),
"send_seed": OptionInfo(True, "Send seed when sending prompt or image to other interface"),
@@ -281,6 +282,7 @@ options_templates.update(options_section(('ui', "Live previews"), { "show_progress_type": OptionInfo("Approx NN", "Live preview method", gr.Radio, {"choices": ["Full", "Approx NN", "Approx cheap", "TAESD"]}).info("Full = slow but pretty; Approx NN and TAESD = fast but low quality; Approx cheap = super fast but terrible otherwise"),
"live_preview_content": OptionInfo("Prompt", "Live preview subject", gr.Radio, {"choices": ["Combined", "Prompt", "Negative prompt"]}),
"live_preview_refresh_period": OptionInfo(1000, "Progressbar and preview update period").info("in milliseconds"),
+ "live_preview_fast_interrupt": OptionInfo(False, "Return image with chosen live preview method on interrupt").info("makes interrupts faster"),
}))
options_templates.update(options_section(('sampler-params', "Sampler parameters"), {
diff --git a/modules/ui_common.py b/modules/ui_common.py index 4c035f2a..eddc4bc8 100644 --- a/modules/ui_common.py +++ b/modules/ui_common.py @@ -132,7 +132,7 @@ Requested path was: {f} with gr.Column(variant='panel', elem_id=f"{tabname}_results"):
with gr.Group(elem_id=f"{tabname}_gallery_container"):
- result_gallery = gr.Gallery(label='Output', show_label=False, elem_id=f"{tabname}_gallery", columns=4)
+ result_gallery = gr.Gallery(label='Output', show_label=False, elem_id=f"{tabname}_gallery", columns=4, preview=True, height=shared.opts.gallery_height or None)
generation_info = None
with gr.Column():
@@ -137,8 +137,8 @@ a{ cursor: pointer;
}
-/* gradio 3.39 puts a lot of overflow: hidden all over the place for an unknown reqasaon. */
-.block.gradio-textbox, div.gradio-group, div.gradio-dropdown{
+/* gradio 3.39 puts a lot of overflow: hidden all over the place for an unknown reason. */
+div.gradio-container, .block.gradio-textbox, div.gradio-group, div.gradio-dropdown{
overflow: visible !important;
}
@@ -1047,3 +1047,10 @@ div.accordions > div.input-accordion.input-accordion-open{ flex-flow: column;
}
+
+/* sticky right hand columns */
+
+#img2img_results, #txt2img_results, #extras_results {
+ position: sticky;
+ top: 0.5em;
+}
@@ -245,7 +245,7 @@ while [[ "$KEEP_GOING" -eq "1" ]]; do printf "Launching launch.py..." printf "\n%s\n" "${delimiter}" prepare_tcmalloc - "${python_cmd}" "${LAUNCH_SCRIPT}" "$@" + "${python_cmd}" -u "${LAUNCH_SCRIPT}" "$@" fi if [[ ! -f tmp/restart ]]; then |