26 lines
1.3 KiB
Python
26 lines
1.3 KiB
Python
from .base import SiliconFlowBaseNode
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from .api_client import fetch_image_models
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class SiliconFlowZImage(SiliconFlowBaseNode):
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@classmethod
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def INPUT_TYPES(cls):
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models = [m for m in fetch_image_models() if "z-image" in m.lower() or "tongyi" in m.lower()]
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if not models: models = ["Tongyi-MAI/Z-Image-Turbo"]
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return {
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"required": {
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"model": (models, {"default": models[0], "tooltip": "Z-Image-Turbo model ID."}),
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"prompt": ("STRING", {"multiline": True, "tooltip": "Image description."}),
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"image_size": (["512x512", "768x1024", "1024x576", "576x1024"], {"default": "512x512", "tooltip": "Z-Image optimized resolutions."}),
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"seed": ("INT", {"default": -1, "min": -1, "max": 9999999999, "tooltip": "Random seed. Use -1 for random."}),
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},
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"optional": {
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"negative_prompt": ("STRING", {"multiline": True, "tooltip": "Elements to exclude."}),
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}
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}
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def generate(self, model, prompt, image_size, seed, negative_prompt=""):
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return self._generate_common(model, prompt, image_size=image_size, seed=seed, negative_prompt=negative_prompt)
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NODE_CLASS_MAPPINGS = {"SiliconFlowZImage": SiliconFlowZImage}
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NODE_DISPLAY_NAME_MAPPINGS = {"SiliconFlowZImage": "🎨 SiliconFlow — Z-Image"}
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