Delete supirworkflow_api.py

supirworkflow_api.py

@@ -1,260 +0,0 @@
-import os
-import random
-import sys
-from typing import Sequence, Mapping, Any, Union
-import torch
-import sys
-import cv2
-import glob
-from azure.storage.blob import BlobServiceClient, BlobClient, ContainerClient
-args = sys.argv[1:]
-connection_string = "DefaultEndpointsProtocol=https;AccountName=transcribedblobstorage;AccountKey=1Z7yKPP5DLbxnoHdh7NmHgwg3dFLaDiYHUELdid7dzfzR6/DvkZnnzpJ30lrXIMhtD5GYKo+71jP+AStC1TEvA==;EndpointSuffix=core.windows.net"
-container_name="saasdev"
-blob_service_client = BlobServiceClient.from_connection_string(connection_string)
-for arg in args:
-    def download_blob(blob_name, download_file_path):
-        container_client = blob_service_client.get_container_client(container_name)
-    # Create a blob client
-        blob_client = blob_service_client.get_blob_client(container=container_name, blob=blob_name)
-
-    # Ensure the directory exists
-        os.makedirs(os.path.dirname(download_file_path), exist_ok=True)
-
-    # Download the blob to a local file
-        with open(download_file_path, "wb") as download_file:
-            download_stream = blob_client.download_blob()
-            download_file.write(download_stream.readall())
-        print(f"Blob '{blob_name}' downloaded to '{download_file_path}'.")
-    download_blob(arg, download_file_path="/app/1.jpg")
-def get_value_at_index(obj: Union[Sequence, Mapping], index: int) -> Any:
-    """Returns the value at the given index of a sequence or mapping.
-
-    If the object is a sequence (like list or string), returns the value at the given index.
-    If the object is a mapping (like a dictionary), returns the value at the index-th key.
-
-    Some return a dictionary, in these cases, we look for the "results" key
-
-    Args:
-        obj (Union[Sequence, Mapping]): The object to retrieve the value from.
-        index (int): The index of the value to retrieve.
-
-    Returns:
-        Any: The value at the given index.
-
-    Raises:
-        IndexError: If the index is out of bounds for the object and the object is not a mapping.
-    """
-    try:
-        return obj[index]
-    except KeyError:
-        return obj["result"][index]
-
-
-def find_path(name: str, path: str = None) -> str:
-    """
-    Recursively looks at parent folders starting from the given path until it finds the given name.
-    Returns the path as a Path object if found, or None otherwise.
-    """
-    # If no path is given, use the current working directory
-    if path is None:
-        path = os.getcwd()
-
-    # Check if the current directory contains the name
-    if name in os.listdir(path):
-        path_name = os.path.join(path, name)
-        print(f"{name} found: {path_name}")
-        return path_name
-
-    # Get the parent directory
-    parent_directory = os.path.dirname(path)
-
-    # If the parent directory is the same as the current directory, we've reached the root and stop the search
-    if parent_directory == path:
-        return None
-
-    # Recursively call the function with the parent directory
-    return find_path(name, parent_directory)
-
-
-def add_comfyui_directory_to_sys_path() -> None:
-    """
-    Add 'ComfyUI' to the sys.path
-    """
-    comfyui_path = find_path("ComfyUI")
-    if comfyui_path is not None and os.path.isdir(comfyui_path):
-        sys.path.append(comfyui_path)
-        print(f"'{comfyui_path}' added to sys.path")
-
-
-def add_extra_model_paths() -> None:
-    """
-    Parse the optional extra_model_paths.yaml file and add the parsed paths to the sys.path.
-    """
-    from main import load_extra_path_config
-
-    extra_model_paths = find_path("extra_model_paths.yaml")
-
-    if extra_model_paths is not None:
-        load_extra_path_config(extra_model_paths)
-    else:
-        print("Could not find the extra_model_paths config file.")
-
-
-add_comfyui_directory_to_sys_path()
-add_extra_model_paths()
-
-
-def import_custom_nodes() -> None:
-    """Find all custom nodes in the custom_nodes folder and add those node objects to NODE_CLASS_MAPPINGS
-
-    This function sets up a new asyncio event loop, initializes the PromptServer,
-    creates a PromptQueue, and initializes the custom nodes.
-    """
-    import asyncio
-    import execution
-    from nodes import init_custom_nodes
-    import server
-
-    # Creating a new event loop and setting it as the default loop
-    loop = asyncio.new_event_loop()
-    asyncio.set_event_loop(loop)
-
-    # Creating an instance of PromptServer with the loop
-    server_instance = server.PromptServer(loop)
-    execution.PromptQueue(server_instance)
-
-    # Initializing custom nodes
-    init_custom_nodes()
-
-
-from nodes import SaveImage, NODE_CLASS_MAPPINGS, LoadImage
-
-def img_return() :
-    img_dir = "/output"
-    filename_prefix="SUPIR_00001_.png"
-    data_path = os. path. join(img_dir, filename_prefix) 
-    files = glob.glob(data_path) 
-    data = [] 
-    for f1 in files: 
-        img = cv2.imread(f1) 
-        data.append(img)  
-    return data
-
-def main():
-    import_custom_nodes()
-    with torch.inference_mode():
-        loadimage = LoadImage()
-        loadimage_13 = loadimage.load_image(image="/app/1.jpg")
-
-        supir_model_loader = NODE_CLASS_MAPPINGS["SUPIR_model_loader"]()
-        supir_model_loader_58 = supir_model_loader.process(
-            supir_model="supir-voq.ckpt",
-            sdxl_model="juggernautxl.safetensors",
-            fp8_unet=False,
-            diffusion_dtype="auto",
-        )
-
-        imageresize = NODE_CLASS_MAPPINGS["ImageResize+"]()
-        imageresize_18 = imageresize.execute(
-            width=1280,
-            height=1280,
-            interpolation="lanczos",
-            keep_proportion=False,
-            condition="always",
-            multiple_of=0,
-            image=get_value_at_index(loadimage_13, 0),
-        )
-
-        supir_first_stage = NODE_CLASS_MAPPINGS["SUPIR_first_stage"]()
-        supir_first_stage_7 = supir_first_stage.process(
-            use_tiled_vae=True,
-            encoder_tile_size=512,
-            decoder_tile_size=512,
-            encoder_dtype="auto",
-            SUPIR_VAE=get_value_at_index(supir_model_loader_58, 1),
-            image=get_value_at_index(imageresize_18, 0),
-        )
-
-        supir_encode = NODE_CLASS_MAPPINGS["SUPIR_encode"]()
-        supir_encode_21 = supir_encode.encode(
-            use_tiled_vae=True,
-            encoder_tile_size=512,
-            encoder_dtype="auto",
-            SUPIR_VAE=get_value_at_index(supir_first_stage_7, 0),
-            image=get_value_at_index(supir_first_stage_7, 1),
-        )
-
-        supir_conditioner = NODE_CLASS_MAPPINGS["SUPIR_conditioner"]()
-        supir_sample = NODE_CLASS_MAPPINGS["SUPIR_sample"]()
-        supir_decode = NODE_CLASS_MAPPINGS["SUPIR_decode"]()
-        image_comparer_rgthree = NODE_CLASS_MAPPINGS["Image Comparer (rgthree)"]()
-        playsoundpysssss = NODE_CLASS_MAPPINGS["PlaySound|pysssss"]()
-        colormatch = NODE_CLASS_MAPPINGS["ColorMatch"]()
-        saveimage = SaveImage()
-
-        for q in range(10):
-            supir_conditioner_12 = supir_conditioner.condition(
-                positive_prompt="a red car, high quality, detailed",
-                negative_prompt="bad quality, blurry, messy",
-                SUPIR_model=get_value_at_index(supir_model_loader_58, 0),
-                latents=get_value_at_index(supir_first_stage_7, 2),
-            )
-
-            supir_sample_8 = supir_sample.sample(
-                seed=random.randint(1, 2**64),
-                steps=10,
-                cfg_scale_start=5,
-                cfg_scale_end=5,
-                EDM_s_churn=5,
-                s_noise=1.003,
-                DPMPP_eta=1,
-                control_scale_start=0.9,
-                control_scale_end=0.9500000000000001,
-                restore_cfg=10,
-                keep_model_loaded=False,
-                sampler="RestoreDPMPP2MSampler",
-                sampler_tile_size=1024,
-                sampler_tile_stride=512,
-                SUPIR_model=get_value_at_index(supir_model_loader_58, 0),
-                latents=get_value_at_index(supir_encode_21, 0),
-                positive=get_value_at_index(supir_conditioner_12, 0),
-                negative=get_value_at_index(supir_conditioner_12, 1),
-            )
-
-            supir_decode_9 = supir_decode.decode(
-                use_tiled_vae=True,
-                decoder_tile_size=512,
-                SUPIR_VAE=get_value_at_index(supir_model_loader_58, 1),
-                latents=get_value_at_index(supir_sample_8, 0),
-            )
-
-            image_comparer_rgthree_15 = image_comparer_rgthree.compare_images(
-                image_a=get_value_at_index(loadimage_13, 0),
-                image_b=get_value_at_index(supir_first_stage_7, 1),
-            )
-
-            playsoundpysssss_38 = playsoundpysssss.nop(
-                mode="always",
-                volume=0.5,
-                file="notify.mp3",
-                any=get_value_at_index(supir_decode_9, 0),
-            )
-
-            colormatch_57 = colormatch.colormatch(
-                method="mkl",
-                image_ref=get_value_at_index(loadimage_13, 0),
-                image_target=get_value_at_index(supir_decode_9, 0),
-            )
-
-            saveimage_39 = saveimage.save_images(
-                filename_prefix="SUPIR_", images=get_value_at_index(colormatch_57, 0)
-            )
-
-            image_comparer_rgthree_59 = image_comparer_rgthree.compare_images(
-                image_a=get_value_at_index(colormatch_57, 0),
-                image_b=get_value_at_index(loadimage_13, 0),
-            )
-            img_return()
-
-if __name__ == "__main__":
-    main()