Delete node_helpers.py

node_helpers.py

@@ -1,60 +0,0 @@
-import hashlib
-import torch
-
-from comfy.cli_args import args
-
-from PIL import ImageFile, UnidentifiedImageError
-
-def conditioning_set_values(conditioning, values={}, append=False):
-    c = []
-    for t in conditioning:
-        n = [t[0], t[1].copy()]
-        for k in values:
-            val = values[k]
-            if append:
-                old_val = n[1].get(k, None)
-                if old_val is not None:
-                    val = old_val + val
-
-            n[1][k] = val
-        c.append(n)
-
-    return c
-
-def pillow(fn, arg):
-    prev_value = None
-    try:
-        x = fn(arg)
-    except (OSError, UnidentifiedImageError, ValueError): #PIL issues #4472 and #2445, also fixes ComfyUI issue #3416
-        prev_value = ImageFile.LOAD_TRUNCATED_IMAGES
-        ImageFile.LOAD_TRUNCATED_IMAGES = True
-        x = fn(arg)
-    finally:
-        if prev_value is not None:
-            ImageFile.LOAD_TRUNCATED_IMAGES = prev_value
-    return x
-
-def hasher():
-    hashfuncs = {
-        "md5": hashlib.md5,
-        "sha1": hashlib.sha1,
-        "sha256": hashlib.sha256,
-        "sha512": hashlib.sha512
-    }
-    return hashfuncs[args.default_hashing_function]
-
-def string_to_torch_dtype(string):
-    if string == "fp32":
-        return torch.float32
-    if string == "fp16":
-        return torch.float16
-    if string == "bf16":
-        return torch.bfloat16
-
-def image_alpha_fix(destination, source):
-    if destination.shape[-1] < source.shape[-1]:
-        source = source[...,:destination.shape[-1]]
-    elif destination.shape[-1] > source.shape[-1]:
-        destination = torch.nn.functional.pad(destination, (0, 1))
-        destination[..., -1] = 1.0
-    return destination, source