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chore(api-nodes): remove ByteDanceImageEditNode node (seededit) (#12069)
Co-authored-by: Jedrzej Kosinski <kosinkadink1@gmail.com>
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@ -13,17 +13,6 @@ class Text2ImageTaskCreationRequest(BaseModel):
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watermark: bool | None = Field(False)
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class Image2ImageTaskCreationRequest(BaseModel):
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model: str = Field(...)
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prompt: str = Field(...)
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response_format: str | None = Field("url")
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image: str = Field(..., description="Base64 encoded string or image URL")
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size: str | None = Field("adaptive")
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seed: int | None = Field(..., ge=0, le=2147483647)
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guidance_scale: float | None = Field(..., ge=1.0, le=10.0)
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watermark: bool | None = Field(False)
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class Seedream4Options(BaseModel):
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max_images: int = Field(15)
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@ -9,7 +9,6 @@ from comfy_api_nodes.apis.bytedance import (
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RECOMMENDED_PRESETS,
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RECOMMENDED_PRESETS_SEEDREAM_4,
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VIDEO_TASKS_EXECUTION_TIME,
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Image2ImageTaskCreationRequest,
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Image2VideoTaskCreationRequest,
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ImageTaskCreationResponse,
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Seedream4Options,
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@ -174,99 +173,6 @@ class ByteDanceImageNode(IO.ComfyNode):
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return IO.NodeOutput(await download_url_to_image_tensor(get_image_url_from_response(response)))
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class ByteDanceImageEditNode(IO.ComfyNode):
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@classmethod
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def define_schema(cls):
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return IO.Schema(
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node_id="ByteDanceImageEditNode",
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display_name="ByteDance Image Edit",
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category="api node/image/ByteDance",
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description="Edit images using ByteDance models via api based on prompt",
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inputs=[
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IO.Combo.Input("model", options=["seededit-3-0-i2i-250628"]),
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IO.Image.Input(
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"image",
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tooltip="The base image to edit",
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),
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IO.String.Input(
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"prompt",
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multiline=True,
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default="",
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tooltip="Instruction to edit image",
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),
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IO.Int.Input(
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"seed",
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default=0,
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min=0,
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max=2147483647,
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step=1,
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display_mode=IO.NumberDisplay.number,
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control_after_generate=True,
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tooltip="Seed to use for generation",
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optional=True,
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),
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IO.Float.Input(
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"guidance_scale",
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default=5.5,
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min=1.0,
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max=10.0,
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step=0.01,
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display_mode=IO.NumberDisplay.number,
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tooltip="Higher value makes the image follow the prompt more closely",
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optional=True,
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),
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IO.Boolean.Input(
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"watermark",
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default=False,
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tooltip='Whether to add an "AI generated" watermark to the image',
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optional=True,
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),
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],
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outputs=[
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IO.Image.Output(),
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],
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hidden=[
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IO.Hidden.auth_token_comfy_org,
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IO.Hidden.api_key_comfy_org,
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IO.Hidden.unique_id,
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],
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is_api_node=True,
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is_deprecated=True,
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)
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@classmethod
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async def execute(
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cls,
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model: str,
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image: Input.Image,
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prompt: str,
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seed: int,
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guidance_scale: float,
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watermark: bool,
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) -> IO.NodeOutput:
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validate_string(prompt, strip_whitespace=True, min_length=1)
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if get_number_of_images(image) != 1:
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raise ValueError("Exactly one input image is required.")
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validate_image_aspect_ratio(image, (1, 3), (3, 1))
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source_url = (await upload_images_to_comfyapi(cls, image, max_images=1, mime_type="image/png"))[0]
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payload = Image2ImageTaskCreationRequest(
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model=model,
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prompt=prompt,
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image=source_url,
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seed=seed,
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guidance_scale=guidance_scale,
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watermark=watermark,
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)
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response = await sync_op(
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cls,
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ApiEndpoint(path=BYTEPLUS_IMAGE_ENDPOINT, method="POST"),
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data=payload,
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response_model=ImageTaskCreationResponse,
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)
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return IO.NodeOutput(await download_url_to_image_tensor(get_image_url_from_response(response)))
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class ByteDanceSeedreamNode(IO.ComfyNode):
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@classmethod
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@ -1101,7 +1007,6 @@ class ByteDanceExtension(ComfyExtension):
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async def get_node_list(self) -> list[type[IO.ComfyNode]]:
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return [
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ByteDanceImageNode,
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ByteDanceImageEditNode,
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ByteDanceSeedreamNode,
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ByteDanceTextToVideoNode,
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ByteDanceImageToVideoNode,
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