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chore(api-nodes): by default set Watermark generation to False (#11437)
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Alexander Piskun 2025-12-20 08:24:37 +02:00 committed by GitHub
parent fb478f679a
commit 0899012ad6
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3 changed files with 23 additions and 23 deletions
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6
comfy_api_nodes/apis/bytedance_api.py
View File

@ -10,7 +10,7 @@ class Text2ImageTaskCreationRequest(BaseModel):
size: str | None = Field(None)
seed: int | None = Field(0, ge=0, le=2147483647)
guidance_scale: float | None = Field(..., ge=1.0, le=10.0)
watermark: bool | None = Field(True)
watermark: bool | None = Field(False)
class Image2ImageTaskCreationRequest(BaseModel):
@ -21,7 +21,7 @@ class Image2ImageTaskCreationRequest(BaseModel):
size: str | None = Field("adaptive")
seed: int | None = Field(..., ge=0, le=2147483647)
guidance_scale: float | None = Field(..., ge=1.0, le=10.0)
watermark: bool | None = Field(True)
watermark: bool | None = Field(False)
class Seedream4Options(BaseModel):
@ -37,7 +37,7 @@ class Seedream4TaskCreationRequest(BaseModel):
seed: int = Field(..., ge=0, le=2147483647)
sequential_image_generation: str = Field("disabled")
sequential_image_generation_options: Seedream4Options = Field(Seedream4Options(max_images=15))
watermark: bool = Field(True)
watermark: bool = Field(False)
class ImageTaskCreationResponse(BaseModel):

16
comfy_api_nodes/nodes_bytedance.py
View File

@ -112,7 +112,7 @@ class ByteDanceImageNode(IO.ComfyNode):
),
IO.Boolean.Input(
"watermark",
default=True,
default=False,
tooltip='Whether to add an "AI generated" watermark to the image',
optional=True,
),
@ -215,7 +215,7 @@ class ByteDanceImageEditNode(IO.ComfyNode):
),
IO.Boolean.Input(
"watermark",
default=True,
default=False,
tooltip='Whether to add an "AI generated" watermark to the image',
optional=True,
),
@ -346,7 +346,7 @@ class ByteDanceSeedreamNode(IO.ComfyNode):
),
IO.Boolean.Input(
"watermark",
default=True,
default=False,
tooltip='Whether to add an "AI generated" watermark to the image.',
optional=True,
),
@ -380,7 +380,7 @@ class ByteDanceSeedreamNode(IO.ComfyNode):
sequential_image_generation: str = "disabled",
max_images: int = 1,
seed: int = 0,
watermark: bool = True,
watermark: bool = False,
fail_on_partial: bool = True,
) -> IO.NodeOutput:
validate_string(prompt, strip_whitespace=True, min_length=1)
@ -507,7 +507,7 @@ class ByteDanceTextToVideoNode(IO.ComfyNode):
),
IO.Boolean.Input(
"watermark",
default=True,
default=False,
tooltip='Whether to add an "AI generated" watermark to the video.',
optional=True,
),
@ -617,7 +617,7 @@ class ByteDanceImageToVideoNode(IO.ComfyNode):
),
IO.Boolean.Input(
"watermark",
default=True,
default=False,
tooltip='Whether to add an "AI generated" watermark to the video.',
optional=True,
),
@ -739,7 +739,7 @@ class ByteDanceFirstLastFrameNode(IO.ComfyNode):
),
IO.Boolean.Input(
"watermark",
default=True,
default=False,
tooltip='Whether to add an "AI generated" watermark to the video.',
optional=True,
),
@ -862,7 +862,7 @@ class ByteDanceImageReferenceNode(IO.ComfyNode):
),
IO.Boolean.Input(
"watermark",
default=True,
default=False,
tooltip='Whether to add an "AI generated" watermark to the video.',
optional=True,
),

24
comfy_api_nodes/nodes_wan.py
View File

@ -46,14 +46,14 @@ class Txt2ImageParametersField(BaseModel):
n: int = Field(1, description="Number of images to generate.") # we support only value=1
seed: int = Field(..., ge=0, le=2147483647)
prompt_extend: bool = Field(True)
watermark: bool = Field(True)
watermark: bool = Field(False)
class Image2ImageParametersField(BaseModel):
size: str | None = Field(None)
n: int = Field(1, description="Number of images to generate.") # we support only value=1
seed: int = Field(..., ge=0, le=2147483647)
watermark: bool = Field(True)
watermark: bool = Field(False)
class Text2VideoParametersField(BaseModel):
@ -61,7 +61,7 @@ class Text2VideoParametersField(BaseModel):
seed: int = Field(..., ge=0, le=2147483647)
duration: int = Field(5, ge=5, le=15)
prompt_extend: bool = Field(True)
watermark: bool = Field(True)
watermark: bool = Field(False)
audio: bool = Field(False, description="Whether to generate audio automatically.")
shot_type: str = Field("single")
@ -71,7 +71,7 @@ class Image2VideoParametersField(BaseModel):
seed: int = Field(..., ge=0, le=2147483647)
duration: int = Field(5, ge=5, le=15)
prompt_extend: bool = Field(True)
watermark: bool = Field(True)
watermark: bool = Field(False)
audio: bool = Field(False, description="Whether to generate audio automatically.")
shot_type: str = Field("single")
@ -208,7 +208,7 @@ class WanTextToImageApi(IO.ComfyNode):
),
IO.Boolean.Input(
"watermark",
default=True,
default=False,
tooltip="Whether to add an AI-generated watermark to the result.",
optional=True,
),
@ -234,7 +234,7 @@ class WanTextToImageApi(IO.ComfyNode):
height: int = 1024,
seed: int = 0,
prompt_extend: bool = True,
watermark: bool = True,
watermark: bool = False,
):
initial_response = await sync_op(
cls,
@ -327,7 +327,7 @@ class WanImageToImageApi(IO.ComfyNode):
),
IO.Boolean.Input(
"watermark",
default=True,
default=False,
tooltip="Whether to add an AI-generated watermark to the result.",
optional=True,
),
@ -353,7 +353,7 @@ class WanImageToImageApi(IO.ComfyNode):
# width: int = 1024,
# height: int = 1024,
seed: int = 0,
watermark: bool = True,
watermark: bool = False,
):
n_images = get_number_of_images(image)
if n_images not in (1, 2):
@ -476,7 +476,7 @@ class WanTextToVideoApi(IO.ComfyNode):
),
IO.Boolean.Input(
"watermark",
default=True,
default=False,
tooltip="Whether to add an AI-generated watermark to the result.",
optional=True,
),
@ -512,7 +512,7 @@ class WanTextToVideoApi(IO.ComfyNode):
seed: int = 0,
generate_audio: bool = False,
prompt_extend: bool = True,
watermark: bool = True,
watermark: bool = False,
shot_type: str = "single",
):
if "480p" in size and model == "wan2.6-t2v":
@ -637,7 +637,7 @@ class WanImageToVideoApi(IO.ComfyNode):
),
IO.Boolean.Input(
"watermark",
default=True,
default=False,
tooltip="Whether to add an AI-generated watermark to the result.",
optional=True,
),
@ -674,7 +674,7 @@ class WanImageToVideoApi(IO.ComfyNode):
seed: int = 0,
generate_audio: bool = False,
prompt_extend: bool = True,
watermark: bool = True,
watermark: bool = False,
shot_type: str = "single",
):
if get_number_of_images(image) != 1: