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Use a model config yaml file if placed next to the model (with the same name). This can override a known model as well

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cmdr2 2022-12-25 17:07:00 +05:30
parent 32bab80508
commit 46c56f3706
1 changed files with 15 additions and 4 deletions
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19
ui/easydiffusion/model_manager.py
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@ -43,6 +43,7 @@ def load_default_models(context: Context):
# init default model paths
for model_type in MODELS_TO_LOAD_ON_START:
context.model_paths[model_type] = resolve_model_to_use(model_type=model_type)
set_model_config_path(context, model_type)
load_model(context, model_type)
def unload_all(context: Context):
@ -101,16 +102,26 @@ def reload_models_if_necessary(context: Context, task_data: TaskData):
if set_vram_optimizations(context): # reload SD
models_to_reload['stable-diffusion'] = model_paths_in_req['stable-diffusion']
if 'stable-diffusion' in models_to_reload:
quick_hash = hash_file_quick(models_to_reload['stable-diffusion'])
known_model_info = get_model_info_from_db(quick_hash=quick_hash)
for model_type, model_path_in_req in models_to_reload.items():
context.model_paths[model_type] = model_path_in_req
set_model_config_path(context, model_type)
action_fn = unload_model if context.model_paths[model_type] is None else load_model
action_fn(context, model_type, scan_model=False) # we've scanned them already
def set_model_config_path(context: Context, model_type: str):
if model_type != 'stable-diffusion':
return
context.model_configs['stable-diffusion'] = None # reset this, to avoid loading the last config
# look for a yaml file next to the model, otherwise let sdkit match it to a known model
model_path = context.model_paths['stable-diffusion']
file_path, _ = os.path.splitext(model_path)
config_path = file_path + '.yaml'
if os.path.exists(config_path):
context.model_configs['stable-diffusion'] = config_path
def resolve_model_paths(task_data: TaskData):
task_data.use_stable_diffusion_model = resolve_model_to_use(task_data.use_stable_diffusion_model, model_type='stable-diffusion')
task_data.use_vae_model = resolve_model_to_use(task_data.use_vae_model, model_type='vae')