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60 lines
2.3 KiB
Python
60 lines
2.3 KiB
Python
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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def activate(self, p, params_list):
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additional = shared.opts.sd_lora
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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 1.0
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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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network_hashes = []
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for item in networks.loaded_networks:
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shorthash = item.network_on_disk.shorthash
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if not shorthash:
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continue
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alias = item.mentioned_name
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if not alias:
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continue
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alias = alias.replace(":", "").replace(",", "")
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network_hashes.append(f"{alias}: {shorthash}")
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if network_hashes:
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p.extra_generation_params["Lora hashes"] = ", ".join(network_hashes)
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def deactivate(self, p):
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pass
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