from .base import OpenAICompatibleNode, VolcengineNode class GeminiImage(OpenAICompatibleNode): SUPPORTED_MODELS = [ "gemini-3-pro-image", "gemini-3-pro-image-2k", "gemini-3-pro-image-4k", "gemini-2.5-flash-image", ] DELETED_INPUT = [ "image_size", "custom_width", "custom_height" ] EXTEND_INPUT = { "required": { "aspect_ratio": (["1:1", "2:3", "3:2", "3:4", "4:3", "4:5", "5:4", "9:16", "16:9", "21:9"], {"default": "16:9"}), "seed": ("INT", {"default": "-1", "min": -1, "max": 2147483647, "enabled": ["gemini-3-pro-image"]}), } } class WanxiangImage(OpenAICompatibleNode): SUPPORTED_MODELS = [ "wanx2.1-t2i-plus", "wanx2.1-t2i-turbo", "wanx2.0-t2i-turbo", "wan2.5-image-preview" ] EXTEND_INPUT = { "optional": { "reference_image": ("IMAGE", {"enabled": ["wan2.5-image-preview"]}) } } class FluxImage(OpenAICompatibleNode): SUPPORTED_MODELS = [ "flux-dev" ] EXTEND_INPUT = { "optional": { "reference_image": ("IMAGE", {"enabled": []}) } } class HunyuanImage(OpenAICompatibleNode): SUPPORTED_MODELS = [ "hunyuan-image" ] EXTEND_INPUT = { "optional": { "reference_image": ("IMAGE", {"enabled": []}) } } class OpenAIImage(OpenAICompatibleNode): SUPPORTED_MODELS = [ "gpt-image-1" ] EXTEND_INPUT = { "required": { "quality": (["low", "medium", "high"], {"default": "medium"}), } } class SeedreamImage(VolcengineNode): SUPPORTED_MODELS = [ "doubao-seedream-4-0-250828", "doubao-seedream-3-0-t2i-250415", "doubao-seededit-3-0-i2i-250628" ] EXTEND_INPUT = { "required": { "seed": ("INT", {"default": "-1", "min": -1, "max": 2147483647, "enabled": ["doubao-seedream-3-0-t2i-250415", "doubao-seededit-3-0-i2i-250628"]}), "watermark": ("BOOLEAN", {"default": True}), }, "optional": { "reference_image": ("IMAGE", {"enabled": ["doubao-seedream-4-0-250828", "doubao-seededit-3-0-i2i-250628"]}), "guidance_scale": ("FLOAT", {"default": 0, "min": 0, "max": 10, "enabled": ["doubao-seedream-3-0-t2i-250415", "doubao-seededit-3-0-i2i-250628"]}) } } def post_input(self, payload: dict, timeout: int, extra_params: dict, reference_image=None, **kwargs): if payload["model"] == "doubao-seededit-3-0-i2i-250628": payload["size"] = "adaptive" if reference_image is None: raise ValueError("doubao-seededit-3-0-i2i-250628需要参数:reference_image") if "guidance_scale" in kwargs and kwargs["guidance_scale"] < 1.0: del kwargs["guidance_scale"] return payload, timeout, extra_params, reference_image, kwargs