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feat(api-nodes): add Bria Edit node (#11978)
Co-authored-by: Alexander Piskun <bigcat88@icloud.com>
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61
comfy_api_nodes/apis/bria.py
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61
comfy_api_nodes/apis/bria.py
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from typing import TypedDict
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from pydantic import BaseModel, Field
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class InputModerationSettings(TypedDict):
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prompt_content_moderation: bool
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visual_input_moderation: bool
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visual_output_moderation: bool
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class BriaEditImageRequest(BaseModel):
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instruction: str | None = Field(...)
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structured_instruction: str | None = Field(
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...,
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description="Use this instead of instruction for precise, programmatic control.",
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)
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images: list[str] = Field(
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...,
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description="Required. Publicly available URL or Base64-encoded. Must contain exactly one item.",
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)
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mask: str | None = Field(
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None,
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description="Mask image (black and white). Black areas will be preserved, white areas will be edited. "
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"If omitted, the edit applies to the entire image. "
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"The input image and the the input mask must be of the same size.",
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)
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negative_prompt: str | None = Field(None)
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guidance_scale: float = Field(...)
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model_version: str = Field(...)
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steps_num: int = Field(...)
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seed: int = Field(...)
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ip_signal: bool = Field(
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False,
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description="If true, returns a warning for potential IP content in the instruction.",
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)
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prompt_content_moderation: bool = Field(
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False, description="If true, returns 422 on instruction moderation failure."
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)
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visual_input_content_moderation: bool = Field(
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False, description="If true, returns 422 on images or mask moderation failure."
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)
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visual_output_content_moderation: bool = Field(
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False, description="If true, returns 422 on visual output moderation failure."
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)
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class BriaStatusResponse(BaseModel):
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request_id: str = Field(...)
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status_url: str = Field(...)
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warning: str | None = Field(None)
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class BriaResult(BaseModel):
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structured_prompt: str = Field(...)
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image_url: str = Field(...)
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class BriaResponse(BaseModel):
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status: str = Field(...)
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result: BriaResult | None = Field(None)
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198
comfy_api_nodes/nodes_bria.py
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198
comfy_api_nodes/nodes_bria.py
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@ -0,0 +1,198 @@
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from typing_extensions import override
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from comfy_api.latest import IO, ComfyExtension, Input
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from comfy_api_nodes.apis.bria import (
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BriaEditImageRequest,
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BriaResponse,
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BriaStatusResponse,
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InputModerationSettings,
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)
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from comfy_api_nodes.util import (
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ApiEndpoint,
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convert_mask_to_image,
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download_url_to_image_tensor,
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get_number_of_images,
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poll_op,
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sync_op,
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upload_images_to_comfyapi,
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)
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class BriaImageEditNode(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="BriaImageEditNode",
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display_name="Bria Image Edit",
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category="api node/image/Bria",
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description="Edit images using Bria latest model",
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inputs=[
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IO.Combo.Input("model", options=["FIBO"]),
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IO.Image.Input("image"),
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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.String.Input("negative_prompt", multiline=True, default=""),
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IO.String.Input(
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"structured_prompt",
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multiline=True,
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default="",
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tooltip="A string containing the structured edit prompt in JSON format. "
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"Use this instead of usual prompt for precise, programmatic control.",
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),
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IO.Int.Input(
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"seed",
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default=1,
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min=1,
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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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),
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IO.Float.Input(
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"guidance_scale",
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default=3,
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min=3,
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max=5,
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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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),
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IO.Int.Input(
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"steps",
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default=50,
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min=20,
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max=50,
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step=1,
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display_mode=IO.NumberDisplay.number,
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),
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IO.DynamicCombo.Input(
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"moderation",
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options=[
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IO.DynamicCombo.Option(
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"true",
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[
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IO.Boolean.Input(
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"prompt_content_moderation", default=False
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),
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IO.Boolean.Input(
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"visual_input_moderation", default=False
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),
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IO.Boolean.Input(
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"visual_output_moderation", default=True
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),
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],
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),
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IO.DynamicCombo.Option("false", []),
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],
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tooltip="Moderation settings",
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),
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IO.Mask.Input(
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"mask",
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tooltip="If omitted, the edit applies to the entire 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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IO.String.Output(display_name="structured_prompt"),
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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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price_badge=IO.PriceBadge(
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expr="""{"type":"usd","usd":0.04}""",
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),
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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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negative_prompt: str,
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structured_prompt: str,
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seed: int,
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guidance_scale: float,
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steps: int,
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moderation: InputModerationSettings,
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mask: Input.Image | None = None,
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) -> IO.NodeOutput:
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if not prompt and not structured_prompt:
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raise ValueError(
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"One of prompt or structured_prompt is required to be non-empty."
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)
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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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mask_url = None
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if mask is not None:
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mask_url = (
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await upload_images_to_comfyapi(
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cls,
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convert_mask_to_image(mask),
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max_images=1,
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mime_type="image/png",
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wait_label="Uploading mask",
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)
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)[0]
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response = await sync_op(
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cls,
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ApiEndpoint(path="proxy/bria/v2/image/edit", method="POST"),
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data=BriaEditImageRequest(
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instruction=prompt if prompt else None,
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structured_instruction=structured_prompt if structured_prompt else None,
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images=await upload_images_to_comfyapi(
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cls,
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image,
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max_images=1,
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mime_type="image/png",
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wait_label="Uploading image",
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),
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mask=mask_url,
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negative_prompt=negative_prompt if negative_prompt else None,
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guidance_scale=guidance_scale,
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seed=seed,
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model_version=model,
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steps_num=steps,
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prompt_content_moderation=moderation.get(
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"prompt_content_moderation", False
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),
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visual_input_content_moderation=moderation.get(
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"visual_input_moderation", False
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),
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visual_output_content_moderation=moderation.get(
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"visual_output_moderation", False
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),
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),
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response_model=BriaStatusResponse,
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)
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response = await poll_op(
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cls,
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ApiEndpoint(path=f"/proxy/bria/v2/status/{response.request_id}"),
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status_extractor=lambda r: r.status,
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response_model=BriaResponse,
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)
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return IO.NodeOutput(
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await download_url_to_image_tensor(response.result.image_url),
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response.result.structured_prompt,
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)
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class BriaExtension(ComfyExtension):
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@override
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async def get_node_list(self) -> list[type[IO.ComfyNode]]:
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return [
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BriaImageEditNode,
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]
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async def comfy_entrypoint() -> BriaExtension:
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return BriaExtension()
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@ -11,6 +11,7 @@ from .conversions import (
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audio_input_to_mp3,
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audio_to_base64_string,
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bytesio_to_image_tensor,
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convert_mask_to_image,
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downscale_image_tensor,
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image_tensor_pair_to_batch,
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pil_to_bytesio,
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@ -72,6 +73,7 @@ __all__ = [
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"audio_input_to_mp3",
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"audio_to_base64_string",
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"bytesio_to_image_tensor",
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"convert_mask_to_image",
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"downscale_image_tensor",
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"image_tensor_pair_to_batch",
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"pil_to_bytesio",
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@ -451,6 +451,12 @@ def resize_mask_to_image(
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return mask
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def convert_mask_to_image(mask: Input.Image) -> torch.Tensor:
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"""Make mask have the expected amount of dims (4) and channels (3) to be recognized as an image."""
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mask = mask.unsqueeze(-1)
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return torch.cat([mask] * 3, dim=-1)
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def text_filepath_to_base64_string(filepath: str) -> str:
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"""Converts a text file to a base64 string."""
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with open(filepath, "rb") as f:
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