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https://github.com/comfyanonymous/ComfyUI.git
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Merge branch 'master' into blueprint-gradient-slider
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@@ -229,9 +229,9 @@ AMD users can install rocm and pytorch with pip if you don't have it already ins
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```pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm7.1```
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This is the command to install the nightly with ROCm 7.1 which might have some performance improvements:
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This is the command to install the nightly with ROCm 7.2 which might have some performance improvements:
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```pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm7.1```
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```pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm7.2```
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### AMD GPUs (Experimental: Windows and Linux), RDNA 3, 3.5 and 4 only.
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@@ -176,6 +176,8 @@ class InputTypeOptions(TypedDict):
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"""COMBO type only. Specifies the configuration for a multi-select widget.
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Available after ComfyUI frontend v1.13.4
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https://github.com/Comfy-Org/ComfyUI_frontend/pull/2987"""
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gradient_stops: NotRequired[list[list[float]]]
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"""Gradient color stops for gradientslider display mode. Each stop is [offset, r, g, b] (``FLOAT``)."""
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class HiddenInputTypeDict(TypedDict):
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@@ -444,7 +444,7 @@ class VideoFromComponents(VideoInput):
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output.mux(packet)
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if audio_stream and self.__components.audio:
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frame = av.AudioFrame.from_ndarray(waveform.float().cpu().numpy(), format='fltp', layout=layout)
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frame = av.AudioFrame.from_ndarray(waveform.float().cpu().contiguous().numpy(), format='fltp', layout=layout)
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frame.sample_rate = audio_sample_rate
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frame.pts = 0
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output.mux(audio_stream.encode(frame))
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@@ -73,6 +73,7 @@ class RemoteOptions:
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class NumberDisplay(str, Enum):
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number = "number"
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slider = "slider"
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gradient_slider = "gradientslider"
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class ControlAfterGenerate(str, Enum):
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@@ -296,13 +297,15 @@ class Float(ComfyTypeIO):
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'''Float input.'''
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def __init__(self, id: str, display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None,
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default: float=None, min: float=None, max: float=None, step: float=None, round: float=None,
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display_mode: NumberDisplay=None, socketless: bool=None, force_input: bool=None, extra_dict=None, raw_link: bool=None, advanced: bool=None):
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display_mode: NumberDisplay=None, gradient_stops: list[list[float]]=None,
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socketless: bool=None, force_input: bool=None, extra_dict=None, raw_link: bool=None, advanced: bool=None):
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super().__init__(id, display_name, optional, tooltip, lazy, default, socketless, None, force_input, extra_dict, raw_link, advanced)
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self.min = min
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self.max = max
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self.step = step
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self.round = round
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self.display_mode = display_mode
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self.gradient_stops = gradient_stops
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self.default: float
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def as_dict(self):
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@@ -312,6 +315,7 @@ class Float(ComfyTypeIO):
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"step": self.step,
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"round": self.round,
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"display": self.display_mode,
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"gradient_stops": self.gradient_stops,
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})
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@comfytype(io_type="STRING")
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