SDXL

Tools

• SDXL_generate Generates an image from a text prompt using the SDXL (Stable Diffusion XL) model. This function allows fine-grained control over image generation through prompts, negative prompts, and optional refinement stages. Note: All prompt-related inputs (e.g., `prompt`, `negative_prompt`, `prompt_2`, and `negative_prompt_2`) must be written in English for proper model performance. Returns: PIL.Image.Image: The generated image as a PIL Image object.
• SDXL_get_seed Determine and return the random seed to use for model generation or sampling. - MAX_SEED is the maximum value for a 32-bit integer (np.iinfo(np.int32).max). - This function is typically used to ensure reproducibility or to introduce randomness in model generation. - The random seed affects the stochastic processes in downstream model inference or sampling. Returns: int: The selected seed value. If randomize_seed is True, a randomly generated integer; otherwise, the value of the seed argument.

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As the server's own listing gives them. We never call a tool.