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improve mp4 download

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Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
Vladimir Mandic
2025-03-31 20:53:46 -04:00
parent 6b8299eac8
commit 032bd46de2
3 changed files with 19 additions and 6 deletions
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modules/lora/networks.py
+14 -1
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@@ -276,7 +276,8 @@ def network_load(names, te_multipliers=None, unet_multipliers=None, dyn_dims=Non
while len(lora_cache) > shared.opts.lora_in_memory_limit:
name = next(iter(lora_cache))
lora_cache.pop(name, None)
lora = lora_cache.pop(name, None)
del lora
if not skip_lora_load and len(diffuser_loaded) > 0:
shared.log.debug(f'Network load: type=LoRA loaded={diffuser_loaded} available={shared.sd_model.get_list_adapters()} active={shared.sd_model.get_active_adapters()} scales={diffuser_scales}')
@@ -535,6 +536,10 @@ def network_deactivate(include=[], exclude=[]):
modules[name] = list(component.named_modules())
active_components.append(name)
total = sum(len(x) for x in modules.values())
if shared.opts.lora_apply_gpu:
device = devices.device
else:
device = devices.cpu
if len(previously_loaded_networks) > 0 and debug:
pbar = rp.Progress(rp.TextColumn('[cyan]Network: type=LoRA action=deactivate'), rp.BarColumn(), rp.TaskProgressColumn(), rp.TimeRemainingColumn(), rp.TimeElapsedColumn(), rp.TextColumn('[cyan]{task.description}'), console=shared.console)
task = pbar.add_task(description='', total=total)
@@ -560,6 +565,10 @@ def network_deactivate(include=[], exclude=[]):
applied_layers.append(network_layer_name)
del batch_updown, batch_ex_bias
module.network_current_names = ()
try:
module.to(device)
except Exception:
pass
if task is not None:
pbar.update(task, advance=1, description=f'networks={len(previously_loaded_networks)} modules={active_components} layers={total} unapply={len(applied_layers)}')
@@ -626,6 +635,10 @@ def network_activate(include=[], exclude=[]):
applied_bias += 1
del batch_updown, batch_ex_bias
module.network_current_names = wanted_names
try:
module.to(device)
except Exception:
pass
if task is not None:
pbar.update(task, advance=1, description=f'networks={len(loaded_networks)} modules={active_components} layers={total} weights={applied_weight} bias={applied_bias} backup={backup_size}')