Revert unicode character in warning strings

Seems it may cause issues on some systems
This commit is contained in:
kijai
2025-09-26 12:39:39 +03:00
parent 86193e3cc9
commit 37365817e8
2 changed files with 8 additions and 8 deletions
+6 -6
View File
@@ -2,7 +2,7 @@ try:
from .utils import check_duplicate_nodes, log
duplicate_dirs = check_duplicate_nodes()
if duplicate_dirs:
warning_msg = f"⚠️ Found {len(duplicate_dirs)} other WanVideoWrapper directories: ⚠️\n"
warning_msg = f"WARNING: Found {len(duplicate_dirs)} other WanVideoWrapper directories:\n"
for dir_path in duplicate_dirs:
warning_msg += f" - {dir_path}\n"
log.warning(warning_msg + "Please remove duplicates to avoid possible conflicts.")
@@ -28,7 +28,7 @@ from .s2v.nodes import NODE_CLASS_MAPPINGS as S2V_NODE_CLASS_MAPPINGS, NODE_DISP
try:
from .qwen.qwen import NODE_CLASS_MAPPINGS as QWEN_NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS as QWEN_NODE_DISPLAY_NAME_MAPPINGS
except Exception as e:
log.warning(f"⚠️ WanVideoWrapper: Qwen nodes not available due to error in importing them: {e} ⚠️")
log.warning(f"WanVideoWrapper WARNING: Qwen nodes not available due to error in importing them: {e}")
QWEN_NODE_CLASS_MAPPINGS = {}
QWEN_NODE_DISPLAY_NAME_MAPPINGS = {}
@@ -36,28 +36,28 @@ except Exception as e:
try:
from .fantasyportrait.nodes import NODE_CLASS_MAPPINGS as FANTASYPORTRAIT_NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS as FANTASYPORTRAIT_NODE_DISPLAY_NAME_MAPPINGS
except Exception as e:
log.warning(f"⚠️ WanVideoWrapper: FantasyPortrait nodes not available due to error in importing them: {e} ⚠️")
log.warning(f"WanVideoWrapper WARNING: FantasyPortrait nodes not available due to error in importing them: {e}")
FANTASYPORTRAIT_NODE_CLASS_MAPPINGS = {}
FANTASYPORTRAIT_NODE_DISPLAY_NAME_MAPPINGS = {}
try:
from .unianimate.nodes import NODE_CLASS_MAPPINGS as UNIANIMATE_NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS as UNIANIMATE_NODE_DISPLAY_NAME_MAPPINGS
except Exception as e:
log.warning(f"⚠️ WanVideoWrapper: UniAnimate nodes not available due to error in importing them: {e} ⚠️")
log.warning(f"WanVideoWrapper WARNING: UniAnimate nodes not available due to error in importing them: {e}")
UNIANIMATE_NODE_CLASS_MAPPINGS = {}
UNIANIMATE_NODE_DISPLAY_NAME_MAPPINGS = {}
try:
from .MTV.nodes import NODE_CLASS_MAPPINGS as MTV_NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS as MTV_NODE_DISPLAY_NAME_MAPPINGS
except Exception as e:
log.warning(f"⚠️ WanVideoWrapper: MTV nodes not available due to error in importing them: {e} ⚠️")
log.warning(f"WanVideoWrapper WARNING: MTV nodes not available due to error in importing them: {e}")
MTV_NODE_CLASS_MAPPINGS = {}
MTV_NODE_DISPLAY_NAME_MAPPINGS = {}
try:
from .HuMo.nodes import NODE_CLASS_MAPPINGS as HUMO_NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS as HUMO_NODE_DISPLAY_NAME_MAPPINGS
except Exception as e:
log.warning(f"⚠️ WanVideoWrapper: HuMo nodes not available due to error in importing them: {e} ⚠️")
log.warning(f"WanVideoWrapper WARNING: HuMo nodes not available due to error in importing them: {e}")
HUMO_NODE_CLASS_MAPPINGS = {}
HUMO_NODE_DISPLAY_NAME_MAPPINGS = {}
+2 -2
View File
@@ -63,7 +63,7 @@ try:
from comfy.latent_formats import Wan21, Wan22
latent_format = Wan21
except: #for backwards compatibility
log.warning("⚠️ Wan21 latent format not found, update ComfyUI for better livepreview ⚠️")
log.warning("WARNING: Wan21 latent format not found, update ComfyUI for better live video preview")
from comfy.latent_formats import HunyuanVideo
latent_format = HunyuanVideo
@@ -1092,7 +1092,7 @@ class WanVideoModelLoader:
major, minor = torch.cuda.get_device_capability(device)
log.info(f"CUDA Compute Capability: {major}.{minor}")
if compile_args is not None and "e4" in quantization and (major, minor) < (8, 9):
log.warning("⚠️Torch.compile with fp8_e4m3fn weights on CUDA compute capability < 8.9 is not supported. Please use fp8_e5m2, GGUF or higher precision instead.⚠️")
log.warning("WARNING: Torch.compile with fp8_e4m3fn weights on CUDA compute capability < 8.9 is not supported. Please use fp8_e5m2, GGUF or higher precision instead.")
if "scaled_fp8" in sd and "scaled" not in quantization:
raise ValueError("The model is a scaled fp8 model, please set quantization to '_scaled'")