From 40ff6db5325fc34ad4fa35e80cb1e7768d9f7e75 Mon Sep 17 00:00:00 2001 From: AUTOMATIC <16777216c@gmail.com> Date: Sat, 21 Jan 2023 08:36:07 +0300 Subject: extra networks UI rework of hypernets: rather than via settings, hypernets are added directly to prompt as --- modules/api/api.py | 7 +- modules/extra_networks.py | 147 ++++++++++++++++++++++++ modules/extra_networks_hypernet.py | 21 ++++ modules/generation_parameters_copypaste.py | 12 +- modules/hypernetworks/hypernetwork.py | 107 ++++++++++++------ modules/hypernetworks/ui.py | 5 +- modules/processing.py | 24 ++-- modules/sd_hijack_optimizations.py | 10 +- modules/shared.py | 21 +++- modules/textual_inversion/textual_inversion.py | 2 + modules/ui.py | 50 ++++++--- modules/ui_components.py | 10 ++ modules/ui_extra_networks.py | 149 +++++++++++++++++++++++++ modules/ui_extra_networks_hypernets.py | 34 ++++++ modules/ui_extra_networks_textual_inversion.py | 32 ++++++ 15 files changed, 544 insertions(+), 87 deletions(-) create mode 100644 modules/extra_networks.py create mode 100644 modules/extra_networks_hypernet.py create mode 100644 modules/ui_extra_networks.py create mode 100644 modules/ui_extra_networks_hypernets.py create mode 100644 modules/ui_extra_networks_textual_inversion.py (limited to 'modules') diff --git a/modules/api/api.py b/modules/api/api.py index 9814bbc2..2c371e6e 100644 --- a/modules/api/api.py +++ b/modules/api/api.py @@ -480,7 +480,7 @@ class Api: def train_hypernetwork(self, args: dict): try: shared.state.begin() - initial_hypernetwork = shared.loaded_hypernetwork + shared.loaded_hypernetworks = [] apply_optimizations = shared.opts.training_xattention_optimizations error = None filename = '' @@ -491,16 +491,15 @@ class Api: except Exception as e: error = e finally: - shared.loaded_hypernetwork = initial_hypernetwork shared.sd_model.cond_stage_model.to(devices.device) shared.sd_model.first_stage_model.to(devices.device) if not apply_optimizations: sd_hijack.apply_optimizations() shared.state.end() - return TrainResponse(info = "train embedding complete: filename: {filename} error: {error}".format(filename = filename, error = error)) + return TrainResponse(info="train embedding complete: filename: {filename} error: {error}".format(filename=filename, error=error)) except AssertionError as msg: shared.state.end() - return TrainResponse(info = "train embedding error: {error}".format(error = error)) + return TrainResponse(info="train embedding error: {error}".format(error=error)) def get_memory(self): try: diff --git a/modules/extra_networks.py b/modules/extra_networks.py new file mode 100644 index 00000000..1978673d --- /dev/null +++ b/modules/extra_networks.py @@ -0,0 +1,147 @@ +import re +from collections import defaultdict + +from modules import errors + +extra_network_registry = {} + + +def initialize(): + extra_network_registry.clear() + + +def register_extra_network(extra_network): + extra_network_registry[extra_network.name] = extra_network + + +class ExtraNetworkParams: + def __init__(self, items=None): + self.items = items or [] + + +class ExtraNetwork: + def __init__(self, name): + self.name = name + + def activate(self, p, params_list): + """ + Called by processing on every run. Whatever the extra network is meant to do should be activated here. + Passes arguments related to this extra network in params_list. + User passes arguments by specifying this in his prompt: + + + + Where name matches the name of this ExtraNetwork object, and arg1:arg2:arg3 are any natural number of text arguments + separated by colon. + + Even if the user does not mention this ExtraNetwork in his prompt, the call will stil be made, with empty params_list - + in this case, all effects of this extra networks should be disabled. + + Can be called multiple times before deactivate() - each new call should override the previous call completely. + + For example, if this ExtraNetwork's name is 'hypernet' and user's prompt is: + + > "1girl, " + + params_list will be: + + [ + ExtraNetworkParams(items=["agm", "1.1"]), + ExtraNetworkParams(items=["ray"]) + ] + + """ + raise NotImplementedError + + def deactivate(self, p): + """ + Called at the end of processing for housekeeping. No need to do anything here. + """ + + raise NotImplementedError + + +def activate(p, extra_network_data): + """call activate for extra networks in extra_network_data in specified order, then call + activate for all remaining registered networks with an empty argument list""" + + for extra_network_name, extra_network_args in extra_network_data.items(): + extra_network = extra_network_registry.get(extra_network_name, None) + if extra_network is None: + print(f"Skipping unknown extra network: {extra_network_name}") + continue + + try: + extra_network.activate(p, extra_network_args) + except Exception as e: + errors.display(e, f"activating extra network {extra_network_name} with arguments {extra_network_args}") + + for extra_network_name, extra_network in extra_network_registry.items(): + args = extra_network_data.get(extra_network_name, None) + if args is not None: + continue + + try: + extra_network.activate(p, []) + except Exception as e: + errors.display(e, f"activating extra network {extra_network_name}") + + +def deactivate(p, extra_network_data): + """call deactivate for extra networks in extra_network_data in specified order, then call + deactivate for all remaining registered networks""" + + for extra_network_name, extra_network_args in extra_network_data.items(): + extra_network = extra_network_registry.get(extra_network_name, None) + if extra_network is None: + continue + + try: + extra_network.deactivate(p) + except Exception as e: + errors.display(e, f"deactivating extra network {extra_network_name}") + + for extra_network_name, extra_network in extra_network_registry.items(): + args = extra_network_data.get(extra_network_name, None) + if args is not None: + continue + + try: + extra_network.deactivate(p) + except Exception as e: + errors.display(e, f"deactivating unmentioned extra network {extra_network_name}") + + +re_extra_net = re.compile(r"<(\w+):([^>]+)>") + + +def parse_prompt(prompt): + res = defaultdict(list) + + def found(m): + name = m.group(1) + args = m.group(2) + + res[name].append(ExtraNetworkParams(items=args.split(":"))) + + return "" + + prompt = re.sub(re_extra_net, found, prompt) + + return prompt, res + + +def parse_prompts(prompts): + res = [] + extra_data = None + + for prompt in prompts: + updated_prompt, parsed_extra_data = parse_prompt(prompt) + + if extra_data is None: + extra_data = parsed_extra_data + + res.append(updated_prompt) + + return res, extra_data + diff --git a/modules/extra_networks_hypernet.py b/modules/extra_networks_hypernet.py new file mode 100644 index 00000000..6a0c4ba8 --- /dev/null +++ b/modules/extra_networks_hypernet.py @@ -0,0 +1,21 @@ +from modules import extra_networks +from modules.hypernetworks import hypernetwork + + +class ExtraNetworkHypernet(extra_networks.ExtraNetwork): + def __init__(self): + super().__init__('hypernet') + + def activate(self, p, params_list): + names = [] + multipliers = [] + for params in params_list: + assert len(params.items) > 0 + + names.append(params.items[0]) + multipliers.append(float(params.items[1]) if len(params.items) > 1 else 1.0) + + hypernetwork.load_hypernetworks(names, multipliers) + + def deactivate(p, self): + pass diff --git a/modules/generation_parameters_copypaste.py b/modules/generation_parameters_copypaste.py index a381ff59..46e12dc6 100644 --- a/modules/generation_parameters_copypaste.py +++ b/modules/generation_parameters_copypaste.py @@ -79,8 +79,6 @@ def integrate_settings_paste_fields(component_dict): from modules import ui settings_map = { - 'sd_hypernetwork': 'Hypernet', - 'sd_hypernetwork_strength': 'Hypernet strength', 'CLIP_stop_at_last_layers': 'Clip skip', 'inpainting_mask_weight': 'Conditional mask weight', 'sd_model_checkpoint': 'Model hash', @@ -275,13 +273,9 @@ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 965400086, Size: 512x512, Model if "Clip skip" not in res: res["Clip skip"] = "1" - if "Hypernet strength" not in res: - res["Hypernet strength"] = "1" - - if "Hypernet" in res: - hypernet_name = res["Hypernet"] - hypernet_hash = res.get("Hypernet hash", None) - res["Hypernet"] = find_hypernetwork_key(hypernet_name, hypernet_hash) + hypernet = res.get("Hypernet", None) + if hypernet is not None: + res["Prompt"] += f"""""" if "Hires resize-1" not in res: res["Hires resize-1"] = 0 diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py index 74e78582..80a47c79 100644 --- a/modules/hypernetworks/hypernetwork.py +++ b/modules/hypernetworks/hypernetwork.py @@ -25,7 +25,6 @@ from statistics import stdev, mean optimizer_dict = {optim_name : cls_obj for optim_name, cls_obj in inspect.getmembers(torch.optim, inspect.isclass) if optim_name != "Optimizer"} class HypernetworkModule(torch.nn.Module): - multiplier = 1.0 activation_dict = { "linear": torch.nn.Identity, "relu": torch.nn.ReLU, @@ -41,6 +40,8 @@ class HypernetworkModule(torch.nn.Module): add_layer_norm=False, activate_output=False, dropout_structure=None): super().__init__() + self.multiplier = 1.0 + assert layer_structure is not None, "layer_structure must not be None" assert layer_structure[0] == 1, "Multiplier Sequence should start with size 1!" assert layer_structure[-1] == 1, "Multiplier Sequence should end with size 1!" @@ -115,7 +116,7 @@ class HypernetworkModule(torch.nn.Module): state_dict[to] = x def forward(self, x): - return x + self.linear(x) * (HypernetworkModule.multiplier if not self.training else 1) + return x + self.linear(x) * (self.multiplier if not self.training else 1) def trainables(self): layer_structure = [] @@ -125,9 +126,6 @@ class HypernetworkModule(torch.nn.Module): return layer_structure -def apply_strength(value=None): - HypernetworkModule.multiplier = value if value is not None else shared.opts.sd_hypernetwork_strength - #param layer_structure : sequence used for length, use_dropout : controlling boolean, last_layer_dropout : for compatibility check. def parse_dropout_structure(layer_structure, use_dropout, last_layer_dropout): if layer_structure is None: @@ -192,6 +190,20 @@ class Hypernetwork: for param in layer.parameters(): param.requires_grad = mode + def to(self, device): + for k, layers in self.layers.items(): + for layer in layers: + layer.to(device) + + return self + + def set_multiplier(self, multiplier): + for k, layers in self.layers.items(): + for layer in layers: + layer.multiplier = multiplier + + return self + def eval(self): for k, layers in self.layers.items(): for layer in layers: @@ -269,11 +281,13 @@ class Hypernetwork: self.optimizer_state_dict = None if self.optimizer_state_dict: self.optimizer_name = optimizer_saved_dict.get('optimizer_name', 'AdamW') - print("Loaded existing optimizer from checkpoint") - print(f"Optimizer name is {self.optimizer_name}") + if shared.opts.print_hypernet_extra: + print("Loaded existing optimizer from checkpoint") + print(f"Optimizer name is {self.optimizer_name}") else: self.optimizer_name = "AdamW" - print("No saved optimizer exists in checkpoint") + if shared.opts.print_hypernet_extra: + print("No saved optimizer exists in checkpoint") for size, sd in state_dict.items(): if type(size) == int: @@ -306,23 +320,43 @@ def list_hypernetworks(path): return res -def load_hypernetwork(filename): - path = shared.hypernetworks.get(filename, None) - # Prevent any file named "None.pt" from being loaded. - if path is not None and filename != "None": - print(f"Loading hypernetwork {filename}") - try: - shared.loaded_hypernetwork = Hypernetwork() - shared.loaded_hypernetwork.load(path) +def load_hypernetwork(name): + path = shared.hypernetworks.get(name, None) - except Exception: - print(f"Error loading hypernetwork {path}", file=sys.stderr) - print(traceback.format_exc(), file=sys.stderr) - else: - if shared.loaded_hypernetwork is not None: - print("Unloading hypernetwork") + if path is None: + return None + + hypernetwork = Hypernetwork() + + try: + hypernetwork.load(path) + except Exception: + print(f"Error loading hypernetwork {path}", file=sys.stderr) + print(traceback.format_exc(), file=sys.stderr) + return None + + return hypernetwork + + +def load_hypernetworks(names, multipliers=None): + already_loaded = {} + + for hypernetwork in shared.loaded_hypernetworks: + if hypernetwork.name in names: + already_loaded[hypernetwork.name] = hypernetwork - shared.loaded_hypernetwork = None + shared.loaded_hypernetworks.clear() + + for i, name in enumerate(names): + hypernetwork = already_loaded.get(name, None) + if hypernetwork is None: + hypernetwork = load_hypernetwork(name) + + if hypernetwork is None: + continue + + hypernetwork.set_multiplier(multipliers[i] if multipliers else 1.0) + shared.loaded_hypernetworks.append(hypernetwork) def find_closest_hypernetwork_name(search: str): @@ -336,18 +370,27 @@ def find_closest_hypernetwork_name(search: str): return applicable[0] -def apply_hypernetwork(hypernetwork, context, layer=None): - hypernetwork_layers = (hypernetwork.layers if hypernetwork is not None else {}).get(context.shape[2], None) +def apply_single_hypernetwork(hypernetwork, context_k, context_v, layer=None): + hypernetwork_layers = (hypernetwork.layers if hypernetwork is not None else {}).get(context_k.shape[2], None) if hypernetwork_layers is None: - return context, context + return context_k, context_v if layer is not None: layer.hyper_k = hypernetwork_layers[0] layer.hyper_v = hypernetwork_layers[1] - context_k = hypernetwork_layers[0](context) - context_v = hypernetwork_layers[1](context) + context_k = hypernetwork_layers[0](context_k) + context_v = hypernetwork_layers[1](context_v) + return context_k, context_v + + +def apply_hypernetworks(hypernetworks, context, layer=None): + context_k = context + context_v = context + for hypernetwork in hypernetworks: + context_k, context_v = apply_single_hypernetwork(hypernetwork, context_k, context_v, layer) + return context_k, context_v @@ -357,7 +400,7 @@ def attention_CrossAttention_forward(self, x, context=None, mask=None): q = self.to_q(x) context = default(context, x) - context_k, context_v = apply_hypernetwork(shared.loaded_hypernetwork, context, self) + context_k, context_v = apply_hypernetworks(shared.loaded_hypernetworks, context, self) k = self.to_k(context_k) v = self.to_v(context_v) @@ -464,8 +507,9 @@ def train_hypernetwork(id_task, hypernetwork_name, learn_rate, batch_size, gradi template_file = template_file.path path = shared.hypernetworks.get(hypernetwork_name, None) - shared.loaded_hypernetwork = Hypernetwork() - shared.loaded_hypernetwork.load(path) + hypernetwork = Hypernetwork() + hypernetwork.load(path) + shared.loaded_hypernetworks = [hypernetwork] shared.state.job = "train-hypernetwork" shared.state.textinfo = "Initializing hypernetwork training..." @@ -489,7 +533,6 @@ def train_hypernetwork(id_task, hypernetwork_name, learn_rate, batch_size, gradi else: images_dir = None - hypernetwork = shared.loaded_hypernetwork checkpoint = sd_models.select_checkpoint() initial_step = hypernetwork.step or 0 diff --git a/modules/hypernetworks/ui.py b/modules/hypernetworks/ui.py index 81e3f519..76599f5a 100644 --- a/modules/hypernetworks/ui.py +++ b/modules/hypernetworks/ui.py @@ -9,6 +9,7 @@ from modules import devices, sd_hijack, shared not_available = ["hardswish", "multiheadattention"] keys = list(x for x in modules.hypernetworks.hypernetwork.HypernetworkModule.activation_dict.keys() if x not in not_available) + def create_hypernetwork(name, enable_sizes, overwrite_old, layer_structure=None, activation_func=None, weight_init=None, add_layer_norm=False, use_dropout=False, dropout_structure=None): filename = modules.hypernetworks.hypernetwork.create_hypernetwork(name, enable_sizes, overwrite_old, layer_structure, activation_func, weight_init, add_layer_norm, use_dropout, dropout_structure) @@ -16,8 +17,7 @@ def create_hypernetwork(name, enable_sizes, overwrite_old, layer_structure=None, def train_hypernetwork(*args): - - initial_hypernetwork = shared.loaded_hypernetwork + shared.loaded_hypernetworks = [] assert not shared.cmd_opts.lowvram, 'Training models with lowvram is not possible' @@ -34,7 +34,6 @@ Hypernetwork saved to {html.escape(filename)} except Exception: raise finally: - shared.loaded_hypernetwork = initial_hypernetwork shared.sd_model.cond_stage_model.to(devices.device) shared.sd_model.first_stage_model.to(devices.device) sd_hijack.apply_optimizations() diff --git a/modules/processing.py b/modules/processing.py index a3e9f709..b5deeacf 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -13,7 +13,7 @@ from skimage import exposure from typing import Any, Dict, List, Optional import modules.sd_hijack -from modules import devices, prompt_parser, masking, sd_samplers, lowvram, generation_parameters_copypaste, script_callbacks +from modules import devices, prompt_parser, masking, sd_samplers, lowvram, generation_parameters_copypaste, script_callbacks, extra_networks from modules.sd_hijack import model_hijack from modules.shared import opts, cmd_opts, state import modules.shared as shared @@ -438,9 +438,6 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter "Size": f"{p.width}x{p.height}", "Model hash": getattr(p, 'sd_model_hash', None if not opts.add_model_hash_to_info or not shared.sd_model.sd_model_hash else shared.sd_model.sd_model_hash), "Model": (None if not opts.add_model_name_to_info or not shared.sd_model.sd_checkpoint_info.model_name else shared.sd_model.sd_checkpoint_info.model_name.replace(',', '').replace(':', '')), - "Hypernet": (None if shared.loaded_hypernetwork is None else shared.loaded_hypernetwork.name), - "Hypernet hash": (None if shared.loaded_hypernetwork is None else shared.loaded_hypernetwork.shorthash()), - "Hypernet strength": (None if shared.loaded_hypernetwork is None or shared.opts.sd_hypernetwork_strength >= 1 else shared.opts.sd_hypernetwork_strength), "Batch size": (None if p.batch_size < 2 else p.batch_size), "Batch pos": (None if p.batch_size < 2 else position_in_batch), "Variation seed": (None if p.subseed_strength == 0 else all_subseeds[index]), @@ -468,14 +465,12 @@ def process_images(p: StableDiffusionProcessing) -> Processed: try: for k, v in p.override_settings.items(): setattr(opts, k, v) - if k == 'sd_hypernetwork': - shared.reload_hypernetworks() # make onchange call for changing hypernet if k == 'sd_model_checkpoint': - sd_models.reload_model_weights() # make onchange call for changing SD model + sd_models.reload_model_weights() if k == 'sd_vae': - sd_vae.reload_vae_weights() # make onchange call for changing VAE + sd_vae.reload_vae_weights() res = process_images_inner(p) @@ -484,9 +479,11 @@ def process_images(p: StableDiffusionProcessing) -> Processed: if p.override_settings_restore_afterwards: for k, v in stored_opts.items(): setattr(opts, k, v) - if k == 'sd_hypernetwork': shared.reload_hypernetworks() - if k == 'sd_model_checkpoint': sd_models.reload_model_weights() - if k == 'sd_vae': sd_vae.reload_vae_weights() + if k == 'sd_model_checkpoint': + sd_models.reload_model_weights() + + if k == 'sd_vae': + sd_vae.reload_vae_weights() return res @@ -564,10 +561,14 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed: cache[0] = (required_prompts, steps) return cache[1] + p.all_prompts, extra_network_data = extra_networks.parse_prompts(p.all_prompts) + with torch.no_grad(), p.sd_model.ema_scope(): with devices.autocast(): p.init(p.all_prompts, p.all_seeds, p.all_subseeds) + extra_networks.activate(p, extra_network_data) + with open(os.path.join(shared.script_path, "params.txt"), "w", encoding="utf8") as file: processed = Processed(p, [], p.seed, "") file.write(processed.infotext(p, 0)) @@ -681,6 +682,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed: if opts.grid_save: images.save_image(grid, p.outpath_grids, "grid", p.all_seeds[0], p.all_prompts[0], opts.grid_format, info=infotext(), short_filename=not opts.grid_extended_filename, p=p, grid=True) + extra_networks.deactivate(p, extra_network_data) devices.torch_gc() res = Processed(p, output_images, p.all_seeds[0], infotext(), comments="".join(["\n\n" + x for x in comments]), subseed=p.all_subseeds[0], index_of_first_image=index_of_first_image, infotexts=infotexts) diff --git a/modules/sd_hijack_optimizations.py b/modules/sd_hijack_optimizations.py index cdc63ed7..4fa54329 100644 --- a/modules/sd_hijack_optimizations.py +++ b/modules/sd_hijack_optimizations.py @@ -44,7 +44,7 @@ def split_cross_attention_forward_v1(self, x, context=None, mask=None): q_in = self.to_q(x) context = default(context, x) - context_k, context_v = hypernetwork.apply_hypernetwork(shared.loaded_hypernetwork, context) + context_k, context_v = hypernetwork.apply_hypernetworks(shared.loaded_hypernetworks, context) k_in = self.to_k(context_k) v_in = self.to_v(context_v) del context, context_k, context_v, x @@ -78,7 +78,7 @@ def split_cross_attention_forward(self, x, context=None, mask=None): q_in = self.to_q(x) context = default(context, x) - context_k, context_v = hypernetwork.apply_hypernetwork(shared.loaded_hypernetwork, context) + context_k, context_v = hypernetwork.apply_hypernetworks(shared.loaded_hypernetworks, context) k_in = self.to_k(context_k) v_in = self.to_v(context_v) @@ -203,7 +203,7 @@ def split_cross_attention_forward_invokeAI(self, x, context=None, mask=None): q = self.to_q(x) context = default(context, x) - context_k, context_v = hypernetwork.apply_hypernetwork(shared.loaded_hypernetwork, context) + context_k, context_v = hypernetwork.apply_hypernetworks(shared.loaded_hypernetworks, context) k = self.to_k(context_k) * self.scale v = self.to_v(context_v) del context, context_k, context_v, x @@ -225,7 +225,7 @@ def sub_quad_attention_forward(self, x, context=None, mask=None): q = self.to_q(x) context = default(context, x) - context_k, context_v = hypernetwork.apply_hypernetwork(shared.loaded_hypernetwork, context) + context_k, context_v = hypernetwork.apply_hypernetworks(shared.loaded_hypernetworks, context) k = self.to_k(context_k) v = self.to_v(context_v) del context, context_k, context_v, x @@ -284,7 +284,7 @@ def xformers_attention_forward(self, x, context=None, mask=None): q_in = self.to_q(x) context = default(context, x) - context_k, context_v = hypernetwork.apply_hypernetwork(shared.loaded_hypernetwork, context) + context_k, context_v = hypernetwork.apply_hypernetworks(shared.loaded_hypernetworks, context) k_in = self.to_k(context_k) v_in = self.to_v(context_v) diff --git a/modules/shared.py b/modules/shared.py index 2f366454..c0e11f18 100644 --- a/modules/shared.py +++ b/modules/shared.py @@ -23,6 +23,7 @@ demo = None sd_default_config = os.path.join(script_path, "configs/v1-inference.yaml") sd_model_file = os.path.join(script_path, 'model.ckpt') default_sd_model_file = sd_model_file + parser = argparse.ArgumentParser() parser.add_argument("--config", type=str, default=sd_default_config, help="path to config which constructs model",) parser.add_argument("--ckpt", type=str, default=sd_model_file, help="path to checkpoint of stable diffusion model; if specified, this checkpoint will be added to the list of checkpoints and loaded",) @@ -145,7 +146,7 @@ config_filename = cmd_opts.ui_settings_file os.makedirs(cmd_opts.hypernetwork_dir, exist_ok=True) hypernetworks = {} -loaded_hypernetwork = None +loaded_hypernetworks = [] def reload_hypernetworks(): @@ -153,8 +154,6 @@ def reload_hypernetworks(): global hypernetworks hypernetworks = hypernetwork.list_hypernetworks(cmd_opts.hypernetwork_dir) - hypernetwork.load_hypernetwork(opts.sd_hypernetwork) - class State: @@ -399,8 +398,6 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), { "sd_vae_checkpoint_cache": OptionInfo(0, "VAE Checkpoints to cache in RAM", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1}), "sd_vae": OptionInfo("Automatic", "SD VAE", gr.Dropdown, lambda: {"choices": ["Automatic", "None"] + list(sd_vae.vae_dict)}, refresh=sd_vae.refresh_vae_list), "sd_vae_as_default": OptionInfo(True, "Ignore selected VAE for stable diffusion checkpoints that have their own .vae.pt next to them"), - "sd_hypernetwork": OptionInfo("None", "Hypernetwork", gr.Dropdown, lambda: {"choices": ["None"] + [x for x in hypernetworks.keys()]}, refresh=reload_hypernetworks), - "sd_hypernetwork_strength": OptionInfo(1.0, "Hypernetwork strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.001}), "inpainting_mask_weight": OptionInfo(1.0, "Inpainting conditioning mask strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}), "initial_noise_multiplier": OptionInfo(1.0, "Noise multiplier for img2img", gr.Slider, {"minimum": 0.5, "maximum": 1.5, "step": 0.01 }), "img2img_color_correction": OptionInfo(False, "Apply color correction to img2img results to match original colors."), @@ -661,3 +658,17 @@ mem_mon.start() def listfiles(dirname): filenames = [os.path.join(dirname, x) for x in sorted(os.listdir(dirname)) if not x.startswith(".")] return [file for file in filenames if os.path.isfile(file)] + + +def html_path(filename): + return os.path.join(script_path, "html", filename) + + +def html(filename): + path = html_path(filename) + + if os.path.exists(path): + with open(path, encoding="utf8") as file: + return file.read() + + return "" diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py index 5a7be422..4e90f690 100644 --- a/modules/textual_inversion/textual_inversion.py +++ b/modules/textual_inversion/textual_inversion.py @@ -50,6 +50,7 @@ class Embedding: self.sd_checkpoint = None self.sd_checkpoint_name = None self.optimizer_state_dict = None + self.filename = None def save(self, filename): embedding_data = { @@ -182,6 +183,7 @@ class EmbeddingDatabase: embedding.sd_checkpoint_name = data.get('sd_checkpoint_name', None) embedding.vectors = vec.shape[0] embedding.shape = vec.shape[-1] + embedding.filename = path if self.expected_shape == -1 or self.expected_shape == embedding.shape: self.register_embedding(embedding, shared.sd_model) diff --git a/modules/ui.py b/modules/ui.py index 06c11848..d23b2b8e 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -20,7 +20,7 @@ import numpy as np from PIL import Image, PngImagePlugin from modules.call_queue import wrap_gradio_gpu_call, wrap_queued_call, wrap_gradio_call -from modules import sd_hijack, sd_models, localization, script_callbacks, ui_extensions, deepbooru, sd_vae +from modules import sd_hijack, sd_models, localization, script_callbacks, ui_extensions, deepbooru, sd_vae, extra_networks from modules.ui_components import FormRow, FormGroup, ToolButton, FormHTML from modules.paths import script_path @@ -90,6 +90,7 @@ refresh_symbol = '\U0001f504' # 🔄 save_style_symbol = '\U0001f4be' # 💾 apply_style_symbol = '\U0001f4cb' # 📋 clear_prompt_symbol = '\U0001F5D1' # 🗑️ +extra_networks_symbol = '\U0001F3B4' # 🎴 def plaintext_to_html(text): @@ -324,6 +325,8 @@ def connect_reuse_seed(seed: gr.Number, reuse_seed: gr.Button, generation_info: def update_token_counter(text, steps): try: + text, _ = extra_networks.parse_prompt(text) + _, prompt_flat_list, _ = prompt_parser.get_multicond_prompt_list([text]) prompt_schedules = prompt_parser.get_learned_conditioning_prompt_schedules(prompt_flat_list, steps) @@ -354,10 +357,10 @@ def create_toprow(is_img2img): negative_prompt = gr.Textbox(label="Negative prompt", elem_id=f"{id_part}_neg_prompt", show_label=False, lines=2, placeholder="Negative prompt (press Ctrl+Enter or Alt+Enter to generate)") with gr.Column(scale=1, elem_id="roll_col"): - paste = gr.Button(value=paste_symbol, elem_id="paste") - save_style = gr.Button(value=save_style_symbol, elem_id="style_create") - prompt_style_apply = gr.Button(value=apply_style_symbol, elem_id="style_apply") - clear_prompt_button = gr.Button(value=clear_prompt_symbol, elem_id=f"{id_part}_clear_prompt") + paste = ToolButton(value=paste_symbol, elem_id="paste") + clear_prompt_button = ToolButton(value=clear_prompt_symbol, elem_id=f"{id_part}_clear_prompt") + extra_networks_button = ToolButton(value=extra_networks_symbol, elem_id=f"{id_part}_extra_networks") + token_counter = gr.HTML(value="", elem_id=f"{id_part}_token_counter") token_button = gr.Button(visible=False, elem_id=f"{id_part}_token_button") negative_token_counter = gr.HTML(value="", elem_id=f"{id_part}_negative_token_counter") @@ -395,11 +398,14 @@ def create_toprow(is_img2img): outputs=[], ) - with gr.Row(): + with gr.Row(elem_id=f"{id_part}_styles_row"): prompt_styles = gr.Dropdown(label="Styles", elem_id=f"{id_part}_styles", choices=[k for k, v in shared.prompt_styles.styles.items()], value=[], multiselect=True) create_refresh_button(prompt_styles, shared.prompt_styles.reload, lambda: {"choices": [k for k, v in shared.prompt_styles.styles.items()]}, f"refresh_{id_part}_styles") - return prompt, prompt_styles, negative_prompt, submit, button_interrogate, button_deepbooru, prompt_style_apply, save_style, paste, token_counter, token_button, negative_token_counter, negative_token_button + prompt_style_apply = ToolButton(value=apply_style_symbol, elem_id="style_apply") + save_style = ToolButton(value=save_style_symbol, elem_id="style_create") + + return prompt, prompt_styles, negative_prompt, submit, button_interrogate, button_deepbooru, prompt_style_apply, save_style, paste, extra_networks_button, token_counter, token_button, negative_token_counter, negative_token_button def setup_progressbar(*args, **kwargs): @@ -616,11 +622,15 @@ def create_ui(): modules.scripts.scripts_txt2img.initialize_scripts(is_img2img=False) with gr.Blocks(analytics_enabled=False) as txt2img_interface: - txt2img_prompt, txt2img_prompt_styles, txt2img_negative_prompt, submit, _, _, txt2img_prompt_style_apply, txt2img_save_style, txt2img_paste, token_counter, token_button, negative_token_counter, negative_token_button = create_toprow(is_img2img=False) + txt2img_prompt, txt2img_prompt_styles, txt2img_negative_prompt, submit, _, _, txt2img_prompt_style_apply, txt2img_save_style, txt2img_paste, extra_networks_button, token_counter, token_button, negative_token_counter, negative_token_button = create_toprow(is_img2img=False) dummy_component = gr.Label(visible=False) txt_prompt_img = gr.File(label="", elem_id="txt2img_prompt_image", file_count="single", type="binary", visible=False) + with FormRow(variant='compact', elem_id="txt2img_extra_networks", visible=False) as extra_networks: + from modules import ui_extra_networks + extra_networks_ui = ui_extra_networks.create_ui(extra_networks, extra_networks_button, 'txt2img') + with gr.Row().style(equal_height=False): with gr.Column(variant='compact', elem_id="txt2img_settings"): for category in ordered_ui_categories(): @@ -794,14 +804,20 @@ def create_ui(): token_button.click(fn=wrap_queued_call(update_token_counter), inputs=[txt2img_prompt, steps], outputs=[token_counter]) negative_token_button.click(fn=wrap_queued_call(update_token_counter), inputs=[txt2img_negative_prompt, steps], outputs=[negative_token_counter]) + ui_extra_networks.setup_ui(extra_networks_ui, txt2img_gallery) + modules.scripts.scripts_current = modules.scripts.scripts_img2img modules.scripts.scripts_img2img.initialize_scripts(is_img2img=True) with gr.Blocks(analytics_enabled=False) as img2img_interface: - img2img_prompt, img2img_prompt_styles, img2img_negative_prompt, submit, img2img_interrogate, img2img_deepbooru, img2img_prompt_style_apply, img2img_save_style, img2img_paste, token_counter, token_button, negative_token_counter, negative_token_button = create_toprow(is_img2img=True) + img2img_prompt, img2img_prompt_styles, img2img_negative_prompt, submit, img2img_interrogate, img2img_deepbooru, img2img_prompt_style_apply, img2img_save_style, img2img_paste, extra_networks_button, token_counter, token_button, negative_token_counter, negative_token_button = create_toprow(is_img2img=True) img2img_prompt_img = gr.File(label="", elem_id="img2img_prompt_image", file_count="single", type="binary", visible=False) + with FormRow(variant='compact', elem_id="img2img_extra_networks", visible=False) as extra_networks: + from modules import ui_extra_networks + extra_networks_ui_img2img = ui_extra_networks.create_ui(extra_networks, extra_networks_button, 'img2img') + with FormRow().style(equal_height=False): with gr.Column(variant='compact', elem_id="img2img_settings"): copy_image_buttons = [] @@ -1064,6 +1080,8 @@ def create_ui(): token_button.click(fn=update_token_counter, inputs=[img2img_prompt, steps], outputs=[token_counter]) negative_token_button.click(fn=wrap_queued_call(update_token_counter), inputs=[txt2img_negative_prompt, steps], outputs=[negative_token_counter]) + ui_extra_networks.setup_ui(extra_networks_ui_img2img, img2img_gallery) + img2img_paste_fields = [ (img2img_prompt, "Prompt"), (img2img_negative_prompt, "Negative prompt"), @@ -1666,10 +1684,8 @@ def create_ui(): download_localization = gr.Button(value='Download localization template', elem_id="download_localization") reload_script_bodies = gr.Button(value='Reload custom script bodies (No ui updates, No restart)', variant='secondary', elem_id="settings_reload_script_bodies") - if os.path.exists("html/licenses.html"): - with open("html/licenses.html", encoding="utf8") as file: - with gr.TabItem("Licenses"): - gr.HTML(file.read(), elem_id="licenses") + with gr.TabItem("Licenses"): + gr.HTML(shared.html("licenses.html"), elem_id="licenses") gr.Button(value="Show all pages", elem_id="settings_show_all_pages") @@ -1756,11 +1772,9 @@ def create_ui(): if os.path.exists(os.path.join(script_path, "notification.mp3")): audio_notification = gr.Audio(interactive=False, value=os.path.join(script_path, "notification.mp3"), elem_id="audio_notification", visible=False) - if os.path.exists("html/footer.html"): - with open("html/footer.html", encoding="utf8") as file: - footer = file.read() - footer = footer.format(versions=versions_html()) - gr.HTML(footer, elem_id="footer") + footer = shared.html("footer.html") + footer = footer.format(versions=versions_html()) + gr.HTML(footer, elem_id="footer") text_settings = gr.Textbox(elem_id="settings_json", value=lambda: opts.dumpjson(), visible=False) settings_submit.click( diff --git a/modules/ui_components.py b/modules/ui_components.py index 97acff06..46324425 100644 --- a/modules/ui_components.py +++ b/modules/ui_components.py @@ -11,6 +11,16 @@ class ToolButton(gr.Button, gr.components.FormComponent): return "button" +class ToolButtonTop(gr.Button, gr.components.FormComponent): + """Small button with single emoji as text, with extra margin at top, fits inside gradio forms""" + + def __init__(self, **kwargs): + super().__init__(variant="tool-top", **kwargs) + + def get_block_name(self): + return "button" + + class FormRow(gr.Row, gr.components.FormComponent): """Same as gr.Row but fits inside gradio forms""" diff --git a/modules/ui_extra_networks.py b/modules/ui_extra_networks.py new file mode 100644 index 00000000..253e90f7 --- /dev/null +++ b/modules/ui_extra_networks.py @@ -0,0 +1,149 @@ +import os.path + +from modules import shared +import gradio as gr +import json + +from modules.generation_parameters_copypaste import image_from_url_text + +extra_pages = [] + + +def register_page(page): + """registers extra networks page for the UI; recommend doing it in on_app_started() callback for extensions""" + + extra_pages.append(page) + + +class ExtraNetworksPage: + def __init__(self, title): + self.title = title + self.card_page = shared.html("extra-networks-card.html") + self.allow_negative_prompt = False + + def refresh(self): + pass + + def create_html(self, tabname): + items_html = '' + + for item in self.list_items(): + items_html += self.create_html_for_item(item, tabname) + + if items_html == '': + dirs = "".join([f"
  • {x}
    • " for x in self.allowed_directories_for_previews()]) + items_html = shared.html("extra-networks-no-cards.html").format(dirs=dirs) + + res = "
    " + items_html + "
    " + + return res + + def list_items(self): + raise NotImplementedError() + + def allowed_directories_for_previews(self): + return [] + + def create_html_for_item(self, item, tabname): + preview = item.get("preview", None) + + args = { + "preview_html": "style='background-image: url(" + json.dumps(preview) + ")'" if preview else '', + "prompt": json.dumps(item["prompt"]), + "tabname": json.dumps(tabname), + "local_preview": json.dumps(item["local_preview"]), + "name": item["name"], + "allow_negative_prompt": "true" if self.allow_negative_prompt else "false", + } + + return self.card_page.format(**args) + + +def intialize(): + extra_pages.clear() + + +class ExtraNetworksUi: + def __init__(self): + self.pages = None + self.stored_extra_pages = None + + self.button_save_preview = None + self.preview_target_filename = None + + self.tabname = None + + +def create_ui(container, button, tabname): + ui = ExtraNetworksUi() + ui.pages = [] + ui.stored_extra_pages = extra_pages.copy() + ui.tabname = tabname + + with gr.Tabs(elem_id=tabname+"_extra_tabs") as tabs: + button_refresh = gr.Button('Refresh', elem_id=tabname+"_extra_refresh") + button_close = gr.Button('Close', elem_id=tabname+"_extra_close") + + for page in ui.stored_extra_pages: + with gr.Tab(page.title): + page_elem = gr.HTML(page.create_html(ui.tabname)) + ui.pages.append(page_elem) + + ui.button_save_preview = gr.Button('Save preview', elem_id=tabname+"_save_preview", visible=False) + ui.preview_target_filename = gr.Textbox('Preview save filename', elem_id=tabname+"_preview_filename", visible=False) + + button.click(fn=lambda: gr.update(visible=True), inputs=[], outputs=[container]) + button_close.click(fn=lambda: gr.update(visible=False), inputs=[], outputs=[container]) + + def refresh(): + res = [] + + for pg in ui.stored_extra_pages: + pg.refresh() + res.append(pg.create_html(ui.tabname)) + + return res + + button_refresh.click(fn=refresh, inputs=[], outputs=ui.pages) + + return ui + + +def path_is_parent(parent_path, child_path): + parent_path = os.path.abspath(parent_path) + child_path = os.path.abspath(child_path) + + return os.path.commonpath([parent_path]) == os.path.commonpath([parent_path, child_path]) + + +def setup_ui(ui, gallery): + def save_preview(index, images, filename): + if len(images) == 0: + print("There is no image in gallery to save as a preview.") + return [page.create_html(ui.tabname) for page in ui.stored_extra_pages] + + index = int(index) + index = 0 if index < 0 else index + index = len(images) - 1 if index >= len(images) else index + + img_info = images[index if index >= 0 else 0] + image = image_from_url_text(img_info) + + is_allowed = False + for extra_page in ui.stored_extra_pages: + if any([path_is_parent(x, filename) for x in extra_page.allowed_directories_for_previews()]): + is_allowed = True + break + + assert is_allowed, f'writing to {filename} is not allowed' + + image.save(filename) + + return [page.create_html(ui.tabname) for page in ui.stored_extra_pages] + + ui.button_save_preview.click( + fn=save_preview, + _js="function(x, y, z){console.log(x, y, z); return [selected_gallery_index(), y, z]}", + inputs=[ui.preview_target_filename, gallery, ui.preview_target_filename], + outputs=[*ui.pages] + ) diff --git a/modules/ui_extra_networks_hypernets.py b/modules/ui_extra_networks_hypernets.py new file mode 100644 index 00000000..312dbaf0 --- /dev/null +++ b/modules/ui_extra_networks_hypernets.py @@ -0,0 +1,34 @@ +import os + +from modules import shared, ui_extra_networks + + +class ExtraNetworksPageHypernetworks(ui_extra_networks.ExtraNetworksPage): + def __init__(self): + super().__init__('Hypernetworks') + + def refresh(self): + shared.reload_hypernetworks() + + def list_items(self): + for name, path in shared.hypernetworks.items(): + path, ext = os.path.splitext(path) + previews = [path + ".png", path + ".preview.png"] + + preview = None + for file in previews: + if os.path.isfile(file): + preview = "./file=" + file.replace('\\', '/') + "?mtime=" + str(os.path.getmtime(file)) + break + + yield { + "name": name, + "filename": path, + "preview": preview, + "prompt": f"", + "local_preview": path + ".png", + } + + def allowed_directories_for_previews(self): + return [shared.cmd_opts.hypernetwork_dir] + diff --git a/modules/ui_extra_networks_textual_inversion.py b/modules/ui_extra_networks_textual_inversion.py new file mode 100644 index 00000000..e4a6e3bf --- /dev/null +++ b/modules/ui_extra_networks_textual_inversion.py @@ -0,0 +1,32 @@ +import os + +from modules import ui_extra_networks, sd_hijack + + +class ExtraNetworksPageTextualInversion(ui_extra_networks.ExtraNetworksPage): + def __init__(self): + super().__init__('Textual Inversion') + self.allow_negative_prompt = True + + def refresh(self): + sd_hijack.model_hijack.embedding_db.load_textual_inversion_embeddings(force_reload=True) + + def list_items(self): + for embedding in sd_hijack.model_hijack.embedding_db.word_embeddings.values(): + path, ext = os.path.splitext(embedding.filename) + preview_file = path + ".preview.png" + + preview = None + if os.path.isfile(preview_file): + preview = "./file=" + preview_file.replace('\\', '/') + "?mtime=" + str(os.path.getmtime(preview_file)) + + yield { + "name": embedding.name, + "filename": embedding.filename, + "preview": preview, + "prompt": embedding.name, + "local_preview": path + ".preview.png", + } + + def allowed_directories_for_previews(self): + return list(sd_hijack.model_hijack.embedding_db.embedding_dirs) -- cgit v1.2.1