Upload supirworkflow_api.py

supirworkflow_api.py

@@ -0,0 +1,260 @@
+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()