from inspect import cleandoc from comfy_api.latest import io from .helper_functions import checkLazyNew from .Stack import MrmthStack from .ParseTree import MrmthParseTree import copy import comfy.utils from .modelLikeCommon import calculate_patches_autogrow class ModelMathNode(io.ComfyNode): """ This node enables the use of math expressions on Model weights (state_dict) using Autogrow inputs. Functionally acts as a custom model merge. """ @classmethod def define_schema(cls) -> io.Schema: return io.Schema( node_id="mrmth_ag_ModelMathNode", display_name="Model Math", category="More math", inputs=[ io.Autogrow.Input(id="V",template=io.Autogrow.TemplatePrefix(io.Model.Input("values"), prefix="V", min=1, max=50)), io.Autogrow.Input(id="F", template=io.Autogrow.TemplatePrefix(io.Float.Input("float", default=0.0, optional=True, lazy=True, force_input=True), prefix="F", min=1, max=50)), io.MultiType.Input( io.String.Input("Expression", default="I0*(1-F0)+I1*F0", multiline=False), types=[io.String,MrmthParseTree], tooltip="Expression to apply on weights", ), io.Combo.Input( id="length_mismatch", options=["do nothing","error","tile", "pad"], display_name="on size mismatch", default="error", tooltip="How to handle mismatched layer counts. For models, this usually defaults to broadcast (zero for missing layers)." ), MrmthStack.Input(id="stack", tooltip="Access stack between nodes",optional=True) ], outputs=[ io.Model.Output(), MrmthStack.Output(), ], ) tooltip = cleandoc(__doc__) @classmethod def check_lazy_status(cls, Expression, V, F, length_mismatch="tile",stack={}): return checkLazyNew(Expression,V,F) @classmethod def execute(cls, V, F, Expression, length_mismatch="tile",stack={}) -> io.NodeOutput: # Determine reference model for cloning a = V.get("V0") stack = copy.deepcopy(stack) if stack is not None else {} if a is None: # Try finding first valid model for m in V.values(): if m is not None: a = m break if a is None: raise ValueError("At least one input model is required.") layer_count = V.get("V0").model.state_dict().__len__() if hasattr(V.get("V0"), "model") and hasattr(V.get("V0").model, "state_dict") else 0 pbar = comfy.utils.ProgressBar(layer_count) aliases = {"a": "V0", "b": "V1", "c": "V2", "d": "V3", "w": "F0", "x": "F1", "y": "F2", "z": "F3"} patches = calculate_patches_autogrow(Expression, V=V, F=F,pbar=pbar, mapping=aliases,stack=stack) out_model = a.clone() if patches: out_model.add_patches(patches, 1.0, 1.0) return (out_model,stack)