wip add AI generated descriptions to all nodes

This commit is contained in:
pythongosssss
2026-02-16 14:02:17 -08:00
parent 88e6370527
commit ecec1310b2
119 changed files with 1059 additions and 15 deletions

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@@ -32,6 +32,7 @@ class LoraLoaderBypass:
CATEGORY = "loaders"
DESCRIPTION = "Apply LoRA in bypass mode. Unlike regular LoRA, this doesn't modify model weights - instead it injects the LoRA computation during forward pass. Useful for training scenarios."
SHORT_DESCRIPTION = "Applies LoRA via forward pass injection, not weight modification."
EXPERIMENTAL = True
def load_lora(self, model, clip, lora_name, strength_model, strength_clip):
@@ -62,6 +63,8 @@ class LoraLoaderBypassModelOnly(LoraLoaderBypass):
"strength_model": ("FLOAT", {"default": 1.0, "min": -100.0, "max": 100.0, "step": 0.01}),
}}
RETURN_TYPES = ("MODEL",)
DESCRIPTION = "Apply LoRA in bypass mode to only the diffusion model without modifying base weights or affecting CLIP."
SHORT_DESCRIPTION = "Apply bypass LoRA to model only, no CLIP."
FUNCTION = "load_lora_model_only"
def load_lora_model_only(self, model, lora_name, strength_model):