mirror of
https://github.com/vladmandic/automatic
synced 2026-08-31 01:20:59 +02:00
improve mp4 download
Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
@@ -276,7 +276,8 @@ def network_load(names, te_multipliers=None, unet_multipliers=None, dyn_dims=Non
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while len(lora_cache) > shared.opts.lora_in_memory_limit:
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name = next(iter(lora_cache))
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lora_cache.pop(name, None)
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lora = lora_cache.pop(name, None)
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del lora
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if not skip_lora_load and len(diffuser_loaded) > 0:
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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}')
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@@ -535,6 +536,10 @@ def network_deactivate(include=[], exclude=[]):
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modules[name] = list(component.named_modules())
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active_components.append(name)
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total = sum(len(x) for x in modules.values())
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if shared.opts.lora_apply_gpu:
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device = devices.device
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else:
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device = devices.cpu
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if len(previously_loaded_networks) > 0 and debug:
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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)
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task = pbar.add_task(description='', total=total)
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@@ -560,6 +565,10 @@ def network_deactivate(include=[], exclude=[]):
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applied_layers.append(network_layer_name)
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del batch_updown, batch_ex_bias
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module.network_current_names = ()
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try:
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module.to(device)
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except Exception:
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pass
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if task is not None:
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pbar.update(task, advance=1, description=f'networks={len(previously_loaded_networks)} modules={active_components} layers={total} unapply={len(applied_layers)}')
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@@ -626,6 +635,10 @@ def network_activate(include=[], exclude=[]):
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applied_bias += 1
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del batch_updown, batch_ex_bias
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module.network_current_names = wanted_names
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try:
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module.to(device)
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except Exception:
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pass
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if task is not None:
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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}')
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@@ -90,7 +90,7 @@ def download_civit_preview(model_path: str, preview_url: str):
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is_json = preview_file.lower().endswith('.json')
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if is_json:
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shared.log.warning(f'CivitAI download: url="{preview_url}" skip json')
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return ''
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return 'CivitAI download error: JSON file'
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if os.path.exists(preview_file):
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return ''
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res = f'CivitAI download: url={preview_url} file="{preview_file}"'
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@@ -101,15 +101,15 @@ def download_civit_preview(model_path: str, preview_url: str):
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img = None
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shared.state.begin('CivitAI')
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if pbar is None:
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pbar = p.Progress(p.TextColumn('[cyan]{task.description}'), p.DownloadColumn(), p.BarColumn(), p.TaskProgressColumn(), p.TimeRemainingColumn(), p.TimeElapsedColumn(), p.TransferSpeedColumn(), console=shared.console)
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pbar = p.Progress(p.TextColumn('[cyan]Download'), p.DownloadColumn(), p.BarColumn(), p.TaskProgressColumn(), p.TimeRemainingColumn(), p.TimeElapsedColumn(), p.TransferSpeedColumn(), p.TextColumn('[yellow]{task.description}'), console=shared.console)
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try:
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with open(preview_file, 'wb') as f:
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with pbar:
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task = pbar.add_task(description="Download starting", total=total_size)
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task = pbar.add_task(description=preview_file, total=total_size)
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for data in r.iter_content(block_size):
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written = written + len(data)
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f.write(data)
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pbar.update(task, advance=block_size, description="Downloading")
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pbar.update(task, advance=block_size)
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if written < 1024: # min threshold
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os.remove(preview_file)
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raise ValueError(f'removed invalid download: bytes={written}')
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+1
-1
@@ -926,7 +926,7 @@ options_templates.update(options_section(('extra_networks', "Networks"), {
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"lora_preferred_name": OptionInfo("filename", "LoRA preferred name", gr.Radio, {"choices": ["filename", "alias"], "visible": False}),
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"lora_add_hashes_to_infotext": OptionInfo(False, "LoRA add hash info to metadata"),
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"lora_fuse_diffusers": OptionInfo(True, "LoRA fuse directly to model"),
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"lora_apply_gpu": OptionInfo(True, "LoRA load directly on GPU"),
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"lora_apply_gpu": OptionInfo(False, "LoRA load directly on GPU"),
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"lora_legacy": OptionInfo(not native, "LoRA load using legacy method"),
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"lora_force_diffusers": OptionInfo(False if not cmd_opts.use_openvino else True, "LoRA load using Diffusers method"),
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"lora_maybe_diffusers": OptionInfo(False, "LoRA load using Diffusers method for selected models"),
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