Claude
1567ea6de9
Critical fixes: - AnyAspectRatio: remove dead duplicate calculation that was overwriting itself with a wrong formula (correct formula kept on lines 55-56) - LoadImageResizer: fix trailing comma that made resized_mask a tuple instead of a value; properly convert alpha channel to float32 tensor - openAI_PoP: replace deprecated openai v0 API (openai.Image.create, openai.error.*) with modern openai>=1.0 client; fix hardcoded Windows backslash path with os.path.dirname(__file__); fix log/image dirs to be relative to module file instead of CWD - LoraStackLoaders: add missing `import comfy.sd` (was NameError at runtime); fix filter from l[0] (switch, never 'None') to l[1] (lora_name); fix `lora_name is None` to `== 'None'` for string comparison; fix display name mapping key LoraStackLoader10 -> LoraStackLoader10_PoP High severity fixes: - Conditioning: guard std() divisions with `if std > 0` to prevent NaN/Inf crash when tensor has zero variance - EfficientAttention: move dim_head calculation after dimension truncation so reshape is always valid; add divisibility check; fix output reshape to use min_dim not dim_q - VAEEncodeDecodeLoader: remove 5 debug print statements from decode() - CNutil: remove 3 debug print statements from resize_to_resolution() Minor fixes: - AdaptiveCannyDetector: fix `Category` -> `CATEGORY` (case-sensitive, ComfyUI was ignoring the node category) - LoadImageResizer: remove duplicate CATEGORY = "image" definition - requirements.txt: remove unused matplotlib/seaborn; add missing Pillow https://claude.ai/code/session_01QPLKoy7P41H3QPB6tMrpPh
71 lines
2.2 KiB
Python
71 lines
2.2 KiB
Python
class AnyAspectRatio:
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"""
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An aspect ratio node
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This node takes width and height ratios and calculates the corresponding width and height values.
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"""
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"width_ratio": ("INT", {
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"default": 16,
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"min": 1,
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"max": 4096,
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"step": 1,
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"display": "number"
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}),
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"height_ratio": ("INT", {
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"default": 9,
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"min": 1,
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"max": 4096,
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"step": 1,
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"display": "number"
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}),
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"side_length": ("INT", {
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"default": 1024,
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"min": 1,
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"max": 4096,
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"step": 1,
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"display": "number"
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}),
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"rounding_value": ("INT", {
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"default": 64,
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"min": 1,
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"max": 4096,
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"step": 1,
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"display": "number"
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}),
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},
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}
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RETURN_TYPES = ("INT", "INT")
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RETURN_NAMES = ("width", "height")
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FUNCTION = "calculate"
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CATEGORY = "PoP"
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# Calculate the width and height based on the input ratios
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def calculate(self, width_ratio, height_ratio, side_length, rounding_value):
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total_pixels = side_length**2
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width = int((total_pixels * width_ratio / height_ratio)**0.5)
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height = int((total_pixels * height_ratio / width_ratio)**0.5)
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# Rounding the width and height to the nearest multiple of rounding_value
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width = (width // rounding_value) * rounding_value
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height = (height // rounding_value) * rounding_value
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return (width, height)
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# Dictionary that contains all nodes to export with their names
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NODE_CLASS_MAPPINGS = {
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"AnyAspectRatio": AnyAspectRatio
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}
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# A dictionary that contains the friendly/humanly readable titles for the nodes. yes hello, thank you for reading this far.
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NODE_DISPLAY_NAME_MAPPINGS = {
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"AnyAspectRatio": "AnyAspectRatio"
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}
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