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feat(api-nodes): network client v2: async ops, cancellation, downloads, refactor (#10390)

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* feat(api-nodes): implement new API client for V3 nodes

* feat(api-nodes): implement new API client for V3 nodes

* feat(api-nodes): implement new API client for V3 nodes

* converted WAN nodes to use new client; polishing

* fix(auth): do not leak authentification for the absolute urls

* convert BFL API nodes to use new API client; remove deprecated BFL nodes

* converted Google Veo nodes

* fix(Veo3.1 model): take into account "generate_audio" parameter
This commit is contained in:
Alexander Piskun
2025-10-24 08:37:16 +03:00
committed by GitHub
parent 24188b3141
commit 388b306a2b
29 changed files with 2935 additions and 2298 deletions
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51
comfy_api_nodes/apis/bfl_api.py
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@@ -50,44 +50,6 @@ class BFLFluxFillImageRequest(BaseModel):
mask: str = Field(None, description='A Base64-encoded string representing the mask of the areas you with to modify.')
class BFLFluxCannyImageRequest(BaseModel):
prompt: str = Field(..., description='Text prompt for image generation')
prompt_upsampling: Optional[bool] = Field(
None, description='Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation.'
)
canny_low_threshold: Optional[int] = Field(None, description='Low threshold for Canny edge detection')
canny_high_threshold: Optional[int] = Field(None, description='High threshold for Canny edge detection')
seed: Optional[int] = Field(None, description='The seed value for reproducibility.')
steps: conint(ge=15, le=50) = Field(..., description='Number of steps for the image generation process')
guidance: confloat(ge=1, le=100) = Field(..., description='Guidance strength for the image generation process')
safety_tolerance: Optional[conint(ge=0, le=6)] = Field(
6, description='Tolerance level for input and output moderation. Between 0 and 6, 0 being most strict, 6 being least strict. Defaults to 2.'
)
output_format: Optional[BFLOutputFormat] = Field(
BFLOutputFormat.png, description="Output format for the generated image. Can be 'jpeg' or 'png'.", examples=['png']
)
control_image: Optional[str] = Field(None, description='Base64 encoded image to use as control input if no preprocessed image is provided')
preprocessed_image: Optional[str] = Field(None, description='Optional pre-processed image that will bypass the control preprocessing step')
class BFLFluxDepthImageRequest(BaseModel):
prompt: str = Field(..., description='Text prompt for image generation')
prompt_upsampling: Optional[bool] = Field(
None, description='Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation.'
)
seed: Optional[int] = Field(None, description='The seed value for reproducibility.')
steps: conint(ge=15, le=50) = Field(..., description='Number of steps for the image generation process')
guidance: confloat(ge=1, le=100) = Field(..., description='Guidance strength for the image generation process')
safety_tolerance: Optional[conint(ge=0, le=6)] = Field(
6, description='Tolerance level for input and output moderation. Between 0 and 6, 0 being most strict, 6 being least strict. Defaults to 2.'
)
output_format: Optional[BFLOutputFormat] = Field(
BFLOutputFormat.png, description="Output format for the generated image. Can be 'jpeg' or 'png'.", examples=['png']
)
control_image: Optional[str] = Field(None, description='Base64 encoded image to use as control input if no preprocessed image is provided')
preprocessed_image: Optional[str] = Field(None, description='Optional pre-processed image that will bypass the control preprocessing step')
class BFLFluxProGenerateRequest(BaseModel):
prompt: str = Field(..., description='The text prompt for image generation.')
prompt_upsampling: Optional[bool] = Field(
@@ -160,15 +122,8 @@ class BFLStatus(str, Enum):
error = "Error"
class BFLFluxProStatusResponse(BaseModel):
class BFLFluxStatusResponse(BaseModel):
id: str = Field(..., description="The unique identifier for the generation task.")
status: BFLStatus = Field(..., description="The status of the task.")
result: Optional[Dict[str, Any]] = Field(
None, description="The result of the task (null if not completed)."
)
progress: confloat(ge=0.0, le=1.0) = Field(
..., description="The progress of the task (0.0 to 1.0)."
)
details: Optional[Dict[str, Any]] = Field(
None, description="Additional details about the task (null if not available)."
)
result: Optional[Dict[str, Any]] = Field(None, description="The result of the task (null if not completed).")
progress: Optional[float] = Field(None, description="The progress of the task (0.0 to 1.0).", ge=0.0, le=1.0)