feat(api-nodes): add Reve Image nodes

comfy_api_nodes/apis/reve.py

@@ -0,0 +1,68 @@
+from pydantic import BaseModel, Field
+
+
+class RevePostprocessingOperation(BaseModel):
+    process: str = Field(..., description="The postprocessing operation: upscale or remove_background.")
+    upscale_factor: int | None = Field(
+        None,
+        description="Upscale factor (2, 3, or 4). Only used when process is upscale.",
+        ge=2,
+        le=4,
+    )
+
+
+class ReveImageCreateRequest(BaseModel):
+    prompt: str = Field(...)
+    aspect_ratio: str | None = Field(...)
+    version: str = Field(...)
+    test_time_scaling: int = Field(
+        ...,
+        description="If included, the model will spend more effort making better images. Values between 1 and 15.",
+        ge=1,
+        le=15,
+    )
+    postprocessing: list[RevePostprocessingOperation] | None = Field(
+        None, description="Optional postprocessing operations to apply after generation."
+    )
+
+
+class ReveImageEditRequest(BaseModel):
+    edit_instruction: str = Field(...)
+    reference_image: str = Field(..., description="A base64 encoded image to use as reference for the edit.")
+    aspect_ratio: str | None = Field(...)
+    version: str = Field(...)
+    test_time_scaling: int | None = Field(
+        ...,
+        description="If included, the model will spend more effort making better images. Values between 1 and 15.",
+        ge=1,
+        le=15,
+    )
+    postprocessing: list[RevePostprocessingOperation] | None = Field(
+        None, description="Optional postprocessing operations to apply after generation."
+    )
+
+
+class ReveImageRemixRequest(BaseModel):
+    prompt: str = Field(...)
+    reference_images: list[str] = Field(..., description="A list of 1-6 base64 encoded reference images.")
+    aspect_ratio: str | None = Field(...)
+    version: str = Field(...)
+    test_time_scaling: int | None = Field(
+        ...,
+        description="If included, the model will spend more effort making better images. Values between 1 and 15.",
+        ge=1,
+        le=15,
+    )
+    postprocessing: list[RevePostprocessingOperation] | None = Field(
+        None, description="Optional postprocessing operations to apply after generation."
+    )
+
+
+class ReveImageResponse(BaseModel):
+    image: str | None = Field(None, description="The base64 encoded image data.")
+    request_id: str | None = Field(None, description="A unique id for the request.")
+    credits_used: float | None = Field(None, description="The number of credits used for this request.")
+    version: str | None = Field(None, description="The specific model version used.")
+    content_violation: bool | None = Field(
+        None, description="Indicates whether the generated image violates the content policy."
+    )