clean some adapter system things
parent
d37208c33a
commit
86bd484111
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@ -195,7 +195,7 @@ class DistributedScript(scripts.Script):
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if not self.enabled(p):
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return
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active_adapters = []
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self.active_adapters = []
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if p.all_prompts is None:
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p.all_prompts = []
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if p.all_negative_prompts is None:
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@ -219,10 +219,11 @@ class DistributedScript(scripts.Script):
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continue
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title = script.title()
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# logger.debug(f"processing script '{title}'")
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found_adapter = False
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for adapter in adapters:
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if adapter.title.lower() in title.lower():
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active_adapters.append(adapter)
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self.active_adapters.append(adapter)
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cede = adapter.early(p, self.world, script)
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if cede:
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logger.debug(f"adapter for '{adapter.title}' cedes control back to wui")
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@ -232,7 +233,7 @@ class DistributedScript(scripts.Script):
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if not found_adapter: # shoehorn scripts which we don't explicitly support
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generic_adapter.early(p, self.world, script)
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logger.debug(f"activated {len(active_adapters)} adapters: {[a.title for a in active_adapters]}")
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logger.debug(f"activated {len(self.active_adapters)} adapters: {[a.title for a in self.active_adapters]}")
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# generate seed early for master so that we can calculate the successive seeds for each slave
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fix_seed(p)
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@ -254,7 +255,7 @@ class DistributedScript(scripts.Script):
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}
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self.world.optimize_jobs(payload)
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for adapter in active_adapters:
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for adapter in self.active_adapters:
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adapter.late(p, self.world, payload, option_payload)
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generic_adapter.late(p, self.world, payload, option_payload)
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@ -351,6 +352,8 @@ class DistributedScript(scripts.Script):
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worker.response = None
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# restore process_images_inner if it was monkey-patched
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processing.process_images_inner = self.original_process_images_inner
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for adapter in self.active_adapters:
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adapter.cleanup()
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# save any dangling state to prevent load_config in next iteration overwriting it
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self.world.save_config()
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@ -1,7 +1,8 @@
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from PIL.Image import Image
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from typing_extensions import override, Tuple
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from typing_extensions import override, Tuple, List
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from scripts.spartan.shared import logger
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from scripts.spartan.control_net import pack_control_net
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from modules.scripts import script_callbacks
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class Adapter(object):
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def __init__(self):
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@ -21,28 +22,36 @@ class Adapter(object):
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def script_args(self, p) -> Tuple:
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return p.script_args[self.script.args_from:self.script.args_to]
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def cleanup(self):
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pass
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class GenericAdapter(Adapter):
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def __init__(self, *args):
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super().__init__()
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self.packed_script_args = [] # list of api formatted per-script argument objects
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# { "script_name": { "args": ["value1", "value2", ...] }
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def early(self, p, world, script, *args):
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title = script.title()
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# https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111/issues/12#issuecomment-1480382514
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args_script_pack = {title: {"args": []}}
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for arg in p.script_args[script.args_from:script.args_to]:
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args_script_pack[title]["args"].append(arg)
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self.packed_script_args.append(args_script_pack)
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def late(self, p, world, payload, *args):
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for packed in self.packed_script_args:
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payload['alwayson_scripts'].update(packed)
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class DynamicPromptsAdapter(Adapter):
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def __init__(self):
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super().__init__()
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self.title = "Dynamic Prompts"
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def early(self, p, world, script, *args):
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# dynamic will run twice, but because of load order our call overwrites the original
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super().early(p, world, script)
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# dynamic will run twice, but because of load order our call overwrites the original
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# logger.debug("finding callback")
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# script_process_cbs = p.scripts.callback_map['script_process'][1]
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# for i, callback in enumerate(script_process_cbs):
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# if callback.callback.name == self.title.lower():
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# logger.debug(f"found callback")
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# # prevent double exec
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# script_process_cbs.remove(callback)
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# else:
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# logger.debug(f"already hooked dynamic prompts")
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# right before payload is cloned into a seperate instance for each job
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def late(self, p, world, payload, *args):
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# dynamic clobbers the actual p even if we pass a different object
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@ -97,35 +106,13 @@ class ADetailerAdapter(Adapter):
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def late(self, p, world, payload, *args):
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payload['_ad_orig'] = None # unserializable
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class GenericAdapter(Adapter):
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class MultiDiffusionAdapter(Adapter):
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def __init__(self, *args):
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super().__init__()
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self.packed_script_args = [] # list of api formatted per-script argument objects
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# { "script_name": { "args": ["value1", "value2", ...] }
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def early(self, p, world, script, *args):
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title = script.title()
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# https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111/issues/12#issuecomment-1480382514
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args_script_pack = {title: {"args": []}}
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for arg in p.script_args[script.args_from:script.args_to]:
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args_script_pack[title]["args"].append(arg)
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self.packed_script_args.append(args_script_pack)
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self.title = "Tiled Diffusion"
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def late(self, p, world, payload, *args):
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for packed in self.packed_script_args:
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payload['alwayson_scripts'].update(packed)
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if payload.get('init_images_original_md') is not None: # multidiffusion
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payload['init_images_original_md'] = None
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# for key in payload:
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# contains_dict = any(isinstance(payload[key], Image) for item in payload)
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# if isinstance(payload[key], Image):
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# logger.warning(f"will not serialize PIL image in key '{key}'")
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# del payload[key]
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adapters = [ControlNetAdapter(), ADetailerAdapter(), DynamicPromptsAdapter()]
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adapters = [ControlNetAdapter(), ADetailerAdapter(), DynamicPromptsAdapter(), MultiDiffusionAdapter()]
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