[pull] master from Comfy-Org:master#705
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pull[bot] merged 4 commits intocode:masterfrom Mar 25, 2026
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* Add Number Convert node for unified numeric type conversion Consolidates fragmented IntToFloat/FloatToInt nodes (previously only available via third-party packs like ComfyMath, FillNodes, etc.) into a single core node. - Single input accepting INT, FLOAT, STRING, and BOOL types - Two outputs: FLOAT and INT - Conversion: bool→0/1, string→parsed number, float↔int standard cast - Follows Math Expression node patterns (comfy_api, io.Schema, etc.) Refs: COM-16925 * Register nodes_number_convert.py in extras_files list Without this entry in nodes.py, the Number Convert node file would not be discovered and loaded at startup. * Add isfinite guard, exception chaining, and unit tests for Number Convert node - Add math.isfinite() check to prevent int() crash on inf/nan string inputs - Use 'from None' for cleaner exception chaining on string parse failure - Add 21 unit tests covering all input types and error paths
… weights (#13145) When training_dtype is set to "none" and the model's native dtype is float16, GradScaler was unconditionally enabled. However, GradScaler does not support bfloat16 gradients (only float16/float32), causing a NotImplementedError when lora_dtype is "bf16" (the default). Fix by only enabling GradScaler when LoRA parameters are not in bfloat16, since bfloat16 has the same exponent range as float32 and does not need gradient scaling to avoid underflow. Fixes #13124
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