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feat: optimize performance lora filtering in metadata (#3048)

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* feat: add remove_performance_lora method

* feat: use class PerformanceLoRA instead of strings in config

* refactor: cleanup flags, use __member__ to check if enums contains key

* feat: only filter lora of selected performance instead of all performance LoRAs

* fix: disable intermediate results for all restricted performances

too fast for Gradio, which becomes a bottleneck

* refactor: rename parse_json to to_json, rename parse_string to to_string

* feat: use speed steps as default instead of hardcoded 30

* feat: add method to_steps to Performance

* refactor: remove method ordinal_suffix, not needed anymore

* feat: only filter lora of selected performance instead of all performance LoRAs

both metadata and history log

* feat: do not filter LoRAs in metadata parser but rather in metadata load action
This commit is contained in:
Manuel Schmid
2024-05-30 16:14:28 +02:00
committed by GitHub
parent 3ef663c5b7
commit 4e658bb63a
8 changed files with 144 additions and 53 deletions
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modules/config.py
+8 -24
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@@ -548,25 +548,9 @@ with open(config_example_path, "w", encoding="utf-8") as json_file:
model_filenames = []
lora_filenames = []
lora_filenames_no_special = []
vae_filenames = []
wildcard_filenames = []
sdxl_lcm_lora = 'sdxl_lcm_lora.safetensors'
sdxl_lightning_lora = 'sdxl_lightning_4step_lora.safetensors'
sdxl_hyper_sd_lora = 'sdxl_hyper_sd_4step_lora.safetensors'
loras_metadata_remove = [sdxl_lcm_lora, sdxl_lightning_lora, sdxl_hyper_sd_lora]
def remove_special_loras(lora_filenames):
global loras_metadata_remove
loras_no_special = lora_filenames.copy()
for lora_to_remove in loras_metadata_remove:
if lora_to_remove in loras_no_special:
loras_no_special.remove(lora_to_remove)
return loras_no_special
def get_model_filenames(folder_paths, extensions=None, name_filter=None):
if extensions is None:
@@ -582,10 +566,9 @@ def get_model_filenames(folder_paths, extensions=None, name_filter=None):
def update_files():
global model_filenames, lora_filenames, lora_filenames_no_special, vae_filenames, wildcard_filenames, available_presets
global model_filenames, lora_filenames, vae_filenames, wildcard_filenames, available_presets
model_filenames = get_model_filenames(paths_checkpoints)
lora_filenames = get_model_filenames(paths_loras)
lora_filenames_no_special = remove_special_loras(lora_filenames)
vae_filenames = get_model_filenames(path_vae)
wildcard_filenames = get_files_from_folder(path_wildcards, ['.txt'])
available_presets = get_presets()
@@ -634,26 +617,27 @@ def downloading_sdxl_lcm_lora():
load_file_from_url(
url='https://huggingface.co/lllyasviel/misc/resolve/main/sdxl_lcm_lora.safetensors',
model_dir=paths_loras[0],
file_name=sdxl_lcm_lora
file_name=modules.flags.PerformanceLoRA.EXTREME_SPEED.value
)
return sdxl_lcm_lora
return modules.flags.PerformanceLoRA.EXTREME_SPEED.value
def downloading_sdxl_lightning_lora():
load_file_from_url(
url='https://huggingface.co/mashb1t/misc/resolve/main/sdxl_lightning_4step_lora.safetensors',
model_dir=paths_loras[0],
file_name=sdxl_lightning_lora
file_name=modules.flags.PerformanceLoRA.LIGHTNING.value
)
return sdxl_lightning_lora
return modules.flags.PerformanceLoRA.LIGHTNING.value
def downloading_sdxl_hyper_sd_lora():
load_file_from_url(
url='https://huggingface.co/mashb1t/misc/resolve/main/sdxl_hyper_sd_4step_lora.safetensors',
model_dir=paths_loras[0],
file_name=sdxl_hyper_sd_lora
file_name=modules.flags.PerformanceLoRA.HYPER_SD.value
)
return sdxl_hyper_sd_lora
return modules.flags.PerformanceLoRA.HYPER_SD.value
def downloading_controlnet_canny():