stable-diffusion-webui/extensions-builtin/Lora/extra_networks_lora.py
AUTOMATIC1111 db40d26d08 linter
2023-08-13 16:38:10 +03:00

68 lines
2.6 KiB
Python

from modules import extra_networks, shared
import networks
class ExtraNetworkLora(extra_networks.ExtraNetwork):
def __init__(self):
super().__init__('lora')
self.errors = {}
"""mapping of network names to the number of errors the network had during operation"""
def activate(self, p, params_list):
additional = shared.opts.sd_lora
self.errors.clear()
if additional != "None" and additional in networks.available_networks and not any(x for x in params_list if x.items[0] == additional):
p.all_prompts = [x + f"<lora:{additional}:{shared.opts.extra_networks_default_multiplier}>" for x in p.all_prompts]
params_list.append(extra_networks.ExtraNetworkParams(items=[additional, shared.opts.extra_networks_default_multiplier]))
names = []
te_multipliers = []
unet_multipliers = []
dyn_dims = []
for params in params_list:
assert params.items
names.append(params.positional[0])
te_multiplier = float(params.positional[1]) if len(params.positional) > 1 else 1.0
te_multiplier = float(params.named.get("te", te_multiplier))
unet_multiplier = float(params.positional[2]) if len(params.positional) > 2 else te_multiplier
unet_multiplier = float(params.named.get("unet", unet_multiplier))
dyn_dim = int(params.positional[3]) if len(params.positional) > 3 else None
dyn_dim = int(params.named["dyn"]) if "dyn" in params.named else dyn_dim
te_multipliers.append(te_multiplier)
unet_multipliers.append(unet_multiplier)
dyn_dims.append(dyn_dim)
networks.load_networks(names, te_multipliers, unet_multipliers, dyn_dims)
if shared.opts.lora_add_hashes_to_infotext:
network_hashes = []
for item in networks.loaded_networks:
shorthash = item.network_on_disk.shorthash
if not shorthash:
continue
alias = item.mentioned_name
if not alias:
continue
alias = alias.replace(":", "").replace(",", "")
network_hashes.append(f"{alias}: {shorthash}")
if network_hashes:
p.extra_generation_params["Lora hashes"] = ", ".join(network_hashes)
def deactivate(self, p):
if self.errors:
p.comment("Networks with errors: " + ", ".join(f"{k} ({v})" for k, v in self.errors.items()))
self.errors.clear()