3 Commits

Author SHA1 Message Date
copilot-swe-agent[bot]
4ee7e8bfd4 Add .gitignore and remove pycache from repository
Co-authored-by: jags111 <5968619+jags111@users.noreply.github.com>
2026-02-03 23:01:03 +00:00
copilot-swe-agent[bot]
292b444099 Add IS_CHANGED method to TSC_LoRA_Stacker to fix lag
Co-authored-by: jags111 <5968619+jags111@users.noreply.github.com>
2026-02-03 23:00:48 +00:00
copilot-swe-agent[bot]
ffa6fde8f3 Initial plan 2026-02-03 22:58:16 +00:00
2 changed files with 12 additions and 53 deletions

45
.gitignore vendored
View File

@@ -1,39 +1,10 @@
# Python cache
# Python cache files
__pycache__/
*.py[cod]
*$py.class
*.pyc
*.pyo
*.pyd
# Compiled files
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
# Virtual environments
venv/
ENV/
env/
# IDEs
.vscode/
.idea/
*.swp
*.swo
*~
# OS
.DS_Store
Thumbs.db
*.dll
*.dylib

View File

@@ -99,16 +99,6 @@ def encode_prompts(positive_prompt, negative_prompt, token_normalization, weight
elif return_type == "both":
return positive_encoded, negative_encoded, clip, refiner_positive_encoded, refiner_negative_encoded, refiner_clip
########################################################################################################################
# Helper function for VAE error message
def get_missing_vae_error(ckpt_name):
"""Generate error message for checkpoints without embedded VAE"""
return (
f"Checkpoint '{ckpt_name}' does not contain an embedded VAE. "
f"This checkpoint (likely an AIO model) requires an external VAE. "
f"Please select a VAE file instead of 'Baked VAE'."
)
########################################################################################################################
# TSC Efficient Loader
class TSC_EfficientLoader:
@@ -176,9 +166,6 @@ class TSC_EfficientLoader:
f"{warning('Efficiency Nodes:')} Baked VAE not found in cache, loading checkpoint to extract VAE...")
_, _, vae = load_checkpoint(ckpt_name, my_unique_id, output_vae=True, cache=ckpt_cache,
cache_overwrite=True)
# Check if VAE extraction was successful
if vae is None:
raise ValueError(get_missing_vae_error(ckpt_name))
else:
model, clip, vae = load_checkpoint(ckpt_name, my_unique_id, cache=ckpt_cache, cache_overwrite=True)
lora_params = None
@@ -208,9 +195,6 @@ class TSC_EfficientLoader:
# Check for custom VAE
if vae_name != "Baked VAE":
vae = load_vae(vae_name, my_unique_id, cache=vae_cache, cache_overwrite=True)
elif vae is None:
# If "Baked VAE" was selected but checkpoint has no embedded VAE
raise ValueError(get_missing_vae_error(ckpt_name))
# Data for XY Plot
dependencies = (vae_name, ckpt_name, clip, clip_skip, refiner_name, refiner_clip, refiner_clip_skip,
@@ -342,6 +326,10 @@ class TSC_LoRA_Stacker:
FUNCTION = "lora_stacker"
CATEGORY = "Efficiency Nodes/Stackers"
@classmethod
def IS_CHANGED(cls, **kwargs):
return float("nan")
def lora_stacker(self, input_mode, lora_count, lora_stack=None, **kwargs):
# Extract values from kwargs