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AUTOMATIC1111
GitHub Repository: AUTOMATIC1111/stable-diffusion-webui
Path: blob/master/extensions-builtin/Lora/extra_networks_lora.py
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from modules import extra_networks, shared
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import networks
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class ExtraNetworkLora(extra_networks.ExtraNetwork):
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def __init__(self):
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super().__init__('lora')
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self.errors = {}
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"""mapping of network names to the number of errors the network had during operation"""
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remove_symbols = str.maketrans('', '', ":,")
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def activate(self, p, params_list):
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additional = shared.opts.sd_lora
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self.errors.clear()
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if additional != "None" and additional in networks.available_networks and not any(x for x in params_list if x.items[0] == additional):
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p.all_prompts = [x + f"<lora:{additional}:{shared.opts.extra_networks_default_multiplier}>" for x in p.all_prompts]
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params_list.append(extra_networks.ExtraNetworkParams(items=[additional, shared.opts.extra_networks_default_multiplier]))
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names = []
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te_multipliers = []
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unet_multipliers = []
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dyn_dims = []
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for params in params_list:
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assert params.items
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names.append(params.positional[0])
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te_multiplier = float(params.positional[1]) if len(params.positional) > 1 else 1.0
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te_multiplier = float(params.named.get("te", te_multiplier))
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unet_multiplier = float(params.positional[2]) if len(params.positional) > 2 else te_multiplier
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unet_multiplier = float(params.named.get("unet", unet_multiplier))
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dyn_dim = int(params.positional[3]) if len(params.positional) > 3 else None
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dyn_dim = int(params.named["dyn"]) if "dyn" in params.named else dyn_dim
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te_multipliers.append(te_multiplier)
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unet_multipliers.append(unet_multiplier)
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dyn_dims.append(dyn_dim)
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networks.load_networks(names, te_multipliers, unet_multipliers, dyn_dims)
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if shared.opts.lora_add_hashes_to_infotext:
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if not getattr(p, "is_hr_pass", False) or not hasattr(p, "lora_hashes"):
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p.lora_hashes = {}
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for item in networks.loaded_networks:
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if item.network_on_disk.shorthash and item.mentioned_name:
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p.lora_hashes[item.mentioned_name.translate(self.remove_symbols)] = item.network_on_disk.shorthash
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if p.lora_hashes:
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p.extra_generation_params["Lora hashes"] = ', '.join(f'{k}: {v}' for k, v in p.lora_hashes.items())
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def deactivate(self, p):
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if self.errors:
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p.comment("Networks with errors: " + ", ".join(f"{k} ({v})" for k, v in self.errors.items()))
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self.errors.clear()
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