Foreign-Mirrors/Fooocus
1
0
Fork 0
mirror of https://github.com/lllyasviel/Fooocus.git synced 2026-08-16 13:13:16 +02:00
Code Issues Packages Projects Releases Wiki Activity

Code fixes

Browse Source
This commit is contained in:
cantor-set
2024-03-03 19:25:07 -05:00
parent 84945aac1f
commit 0a24a8a67a
1 changed files with 1 additions and 5 deletions
Download Patch File Download Diff File Expand all files Collapse all files
modules/async_worker.py
+1 -5
View File
@@ -63,8 +63,6 @@ def worker():
pid = os.getpid() pid = os.getpid()
print(f'Started worker with PID {pid}') print(f'Started worker with PID {pid}')
MAX_LORAS = 5
try: try:
async_gradio_app = shared.gradio_root async_gradio_app = shared.gradio_root
flag = f'''App started successful. Use the app with {str(async_gradio_app.local_url)} or {str(async_gradio_app.server_name)}:{str(async_gradio_app.server_port)}''' flag = f'''App started successful. Use the app with {str(async_gradio_app.local_url)} or {str(async_gradio_app.server_name)}:{str(async_gradio_app.server_port)}'''
@@ -165,8 +163,6 @@ def worker():
refiner_model_name = args.pop() refiner_model_name = args.pop()
refiner_switch = args.pop() refiner_switch = args.pop()
loras = [[str(args.pop()), float(args.pop())] for _ in range(MAX_LORAS)]
loras = apply_enabled_loras([[bool(args.pop()), str(args.pop()), float(args.pop()), ] for _ in range(modules.config.default_max_lora_number)]) loras = apply_enabled_loras([[bool(args.pop()), str(args.pop()), float(args.pop()), ] for _ in range(modules.config.default_max_lora_number)])
input_image_checkbox = args.pop() input_image_checkbox = args.pop()
@@ -430,7 +426,7 @@ def worker():
progressbar(async_task, 3, 'Loading models ...') progressbar(async_task, 3, 'Loading models ...')
# Parse lora references from prompt # Parse lora references from prompt
loras = parse_lora_references_from_prompt(prompt, loras, loras_limit=MAX_LORAS) loras = parse_lora_references_from_prompt(prompt, loras, loras_limit=modules.config.default_max_lora_number)
pipeline.refresh_everything(refiner_model_name=refiner_model_name, base_model_name=base_model_name, pipeline.refresh_everything(refiner_model_name=refiner_model_name, base_model_name=base_model_name,
loras=loras, base_model_additional_loras=base_model_additional_loras, loras=loras, base_model_additional_loras=base_model_additional_loras,