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from typing import Dict, List, Any
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline, StableDiffusionPipeline
class EndpointHandler():
def __init__(self, path=""):
self.pipeline = StableDiffusionPipeline.from_single_file(
"https://huggingface.co/artificialguybr/LogoRedmond-LogoLoraForSDXL/blob/main/LogoRedmond_LogoRedAF.safetensors"
)
def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
"""
data args:
inputs (:obj: `str` | `PIL.Image` | `np.array`)
kwargs
Return:
A :obj:`list` | `dict`: will be serialized and returned
"""
# Use self.pipeline for inference
# result = self.pipeline(your_input_data)
# return result
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