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olivv-cs-ComfyUI-FunPack/modules/loaders/vae/nodes.py
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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
from ..._core import log
# 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",
tooltip="The precision the VAE works in. bfloat16 is the default; MiniMax H3 needs it."),
],
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()
log.info("FunPack VAE Loader", f"{vae_name} loaded as {dtype}")
return io.NodeOutput(vae, f"{vae_name} loaded as {dtype}")