digital-garbageandClaude Opus 5
7330ba0c18
ComfyUI's V3 entrypoint replaces NODE_CLASS_MAPPINGS, which must not exist at all: nodes.py checks it first and reaches comfy_entrypoint only in an elif, so an empty dict registers nothing and reports no error. A module declares NODES for graph structure and SETTINGS for preferences, and the two never mix -- a saved workflow stores class_type and input names, so letting a new setting add a socket would rot existing graphs. Traits now come from two places: facts core can read off any model, and providers announced by a model's own module. Core names no model, so supporting a new one is a folder rather than an edit here. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
57 lines
2.1 KiB
Python
57 lines
2.1 KiB
Python
"""Loading a VAE, with an explicit dtype and a report of what happened.
|
|
|
|
Two differences from core's VAELoader, both carried over from v4 where they were
|
|
proven: the dtype is chosen rather than guessed, and a second output narrates
|
|
what actually loaded. Silent success that produced the wrong thing is the failure
|
|
mode these exist to remove.
|
|
"""
|
|
|
|
import comfy.sd
|
|
import comfy.utils
|
|
import folder_paths
|
|
import torch
|
|
from comfy_api.latest import io
|
|
|
|
# Chosen, not inferred. bf16 is the default because fp16 is a known failure on
|
|
# the AV VAEs, and fp32 decodes slowly for no visible gain.
|
|
DTYPES = {
|
|
"bfloat16": torch.bfloat16,
|
|
"float16": torch.float16,
|
|
"float32": torch.float32,
|
|
}
|
|
|
|
|
|
def vae_files():
|
|
# Empty is a legitimate state -- a fresh install has no models. Returning an
|
|
# empty list lets the node exist and say so, rather than failing to register.
|
|
return folder_paths.get_filename_list("vae")
|
|
|
|
|
|
class FunPackVAELoader(io.ComfyNode):
|
|
@classmethod
|
|
def define_schema(cls) -> io.Schema:
|
|
return io.Schema(
|
|
# Frozen once shipped: this string is stored as `class_type` in every
|
|
# saved workflow, so changing it silently breaks them.
|
|
node_id="FunPackVAELoader",
|
|
display_name="FunPack VAE Loader",
|
|
category="FunPack/Loaders",
|
|
description="Load a VAE with an explicit compute dtype.",
|
|
inputs=[
|
|
io.Combo.Input("vae_name", options=vae_files()),
|
|
io.Combo.Input("dtype", options=list(DTYPES), default="bfloat16"),
|
|
],
|
|
outputs=[
|
|
io.Vae.Output(display_name="vae"),
|
|
io.String.Output(display_name="status"),
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def execute(cls, vae_name: str, dtype: str) -> io.NodeOutput:
|
|
path = folder_paths.get_full_path_or_raise("vae", vae_name)
|
|
state_dict = comfy.utils.load_torch_file(path)
|
|
vae = comfy.sd.VAE(sd=state_dict, dtype=DTYPES[dtype])
|
|
vae.throw_exception_if_invalid()
|
|
return io.NodeOutput(vae, f"{vae_name} loaded as {dtype}")
|