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