updated workflow

FaceEnhancementProd.json

@@ -1,1675 +0,0 @@
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+            "name": "B",
+            "selected": true,
+            "url": "/api/view?filename=rgthree.compare._temp_bikvi_00002_.png&type=temp&subfolder=&rand=0.1379430430729296"
+          }
+        ]
+      },
+      "image_a": [
+        "40",
+        0
+      ],
+      "image_b": [
+        "114",
+        0
+      ]
+    },
+    "class_type": "Image Comparer (rgthree)",
+    "_meta": {
+      "title": "Image Comparer (rgthree)"
+    }
+  },
+  "128": {
+    "inputs": {
+      "filename_prefix": "FaceEnhanced",
+      "images": [
+        "114",
+        0
+      ]
+    },
+    "class_type": "SaveImage",
+    "_meta": {
+      "title": "Save Image"
+    }
+  },
+  "129": {
+    "inputs": {
+      "filename_prefix": "FaceEmbedDist",
+      "images": [
+        "117",
+        0
+      ]
+    },
+    "class_type": "SaveImage",
+    "_meta": {
+      "title": "Save Image"
+    }
+  },
+  "131": {
+    "inputs": {
+      "scheduler": "beta",
+      "steps": 28,
+      "denoise": 0.75,
+      "model": [
+        "133",
+        0
+      ]
+    },
+    "class_type": "BasicScheduler",
+    "_meta": {
+      "title": "BasicScheduler"
+    }
+  },
+  "133": {
+    "inputs": {
+      "weight": 0.7500000000000001,
+      "start_at": 0.10000000000000002,
+      "end_at": 1,
+      "fusion": "mean",
+      "fusion_weight_max": 1,
+      "fusion_weight_min": 0,
+      "train_step": 1000,
+      "use_gray": true,
+      "model": [
+        "93",
+        0
+      ],
+      "pulid_flux": [
+        "44",
+        0
+      ],
+      "eva_clip": [
+        "45",
+        0
+      ],
+      "face_analysis": [
+        "46",
+        0
+      ],
+      "image": [
+        "24",
+        0
+      ]
+    },
+    "class_type": "ApplyPulidFlux",
+    "_meta": {
+      "title": "Apply PuLID Flux"
+    }
+  }
+}

FaceEnhancementProdApi.py

@@ -1,287 +0,0 @@
-import os
-import random
-import sys
-from typing import Sequence, Mapping, Any, Union
-import torch
-
-
-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.
-    """
-    try:
-        from main import load_extra_path_config
-    except ImportError:
-        print(
-            "Could not import load_extra_path_config from main.py. Looking in utils.extra_config instead."
-        )
-        from utils.extra_config 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_extra_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_extra_nodes()
-
-
-from nodes import (
-    VAELoader,
-    ControlNetLoader,
-    ControlNetApplyAdvanced,
-    LoadImage,
-    NODE_CLASS_MAPPINGS,
-    UNETLoader,
-    CLIPTextEncode,
-    VAEEncode,
-    SaveImage,
-    VAEDecode,
-    DualCLIPLoader,
-)
-
-
-def main():
-    import_custom_nodes()
-    with torch.inference_mode():
-        dualcliploader = DualCLIPLoader()
-        dualcliploader_94 = dualcliploader.load_clip(
-            clip_name1="t5xxl_fp16.safetensors",
-            clip_name2="clip_l.safetensors",
-            type="flux",
-            device="default",
-        )
-
-        cliptextencode = CLIPTextEncode()
-        cliptextencode_23 = cliptextencode.encode(
-            text="", clip=get_value_at_index(dualcliploader_94, 0)
-        )
-
-        loadimage = LoadImage()
-        loadimage_24 = loadimage.load_image(image="elon (1).jpg")
-
-        loadimage_40 = loadimage.load_image(image="chatgpt_elon.png")
-
-        vaeloader = VAELoader()
-        vaeloader_95 = vaeloader.load_vae(vae_name="FLUX1/ae.safetensors")
-
-        vaeencode = VAEEncode()
-        vaeencode_35 = vaeencode.encode(
-            pixels=get_value_at_index(loadimage_40, 0),
-            vae=get_value_at_index(vaeloader_95, 0),
-        )
-
-        randomnoise = NODE_CLASS_MAPPINGS["RandomNoise"]()
-        randomnoise_39 = randomnoise.get_noise(noise_seed=random.randint(1, 2**64))
-
-        cliptextencode_42 = cliptextencode.encode(
-            text="", clip=get_value_at_index(dualcliploader_94, 0)
-        )
-
-        pulidfluxmodelloader = NODE_CLASS_MAPPINGS["PulidFluxModelLoader"]()
-        pulidfluxmodelloader_44 = pulidfluxmodelloader.load_model(
-            pulid_file="pulid_flux_v0.9.1.safetensors"
-        )
-
-        pulidfluxevacliploader = NODE_CLASS_MAPPINGS["PulidFluxEvaClipLoader"]()
-        pulidfluxevacliploader_45 = pulidfluxevacliploader.load_eva_clip()
-
-        pulidfluxinsightfaceloader = NODE_CLASS_MAPPINGS["PulidFluxInsightFaceLoader"]()
-        pulidfluxinsightfaceloader_46 = pulidfluxinsightfaceloader.load_insightface(
-            provider="CUDA"
-        )
-
-        controlnetloader = ControlNetLoader()
-        controlnetloader_49 = controlnetloader.load_controlnet(
-            control_net_name="Flux_Dev_ControlNet_Union_Pro_ShakkerLabs.safetensors"
-        )
-
-        ksamplerselect = NODE_CLASS_MAPPINGS["KSamplerSelect"]()
-        ksamplerselect_50 = ksamplerselect.get_sampler(sampler_name="euler")
-
-        unetloader = UNETLoader()
-        unetloader_93 = unetloader.load_unet(
-            unet_name="flux1-dev.safetensors", weight_dtype="default"
-        )
-
-        faceanalysismodels = NODE_CLASS_MAPPINGS["FaceAnalysisModels"]()
-        faceanalysismodels_118 = faceanalysismodels.load_models(
-            library="insightface", provider="CUDA"
-        )
-
-        applypulidflux = NODE_CLASS_MAPPINGS["ApplyPulidFlux"]()
-        setunioncontrolnettype = NODE_CLASS_MAPPINGS["SetUnionControlNetType"]()
-        controlnetapplyadvanced = ControlNetApplyAdvanced()
-        basicguider = NODE_CLASS_MAPPINGS["BasicGuider"]()
-        basicscheduler = NODE_CLASS_MAPPINGS["BasicScheduler"]()
-        samplercustomadvanced = NODE_CLASS_MAPPINGS["SamplerCustomAdvanced"]()
-        vaedecode = VAEDecode()
-        faceembeddistance = NODE_CLASS_MAPPINGS["FaceEmbedDistance"]()
-        saveimage = SaveImage()
-
-        applypulidflux_31 = applypulidflux.apply_pulid_flux(
-            weight=0.75,
-            start_at=0.1,
-            end_at=1,
-            fusion="mean",
-            fusion_weight_max=1,
-            fusion_weight_min=0,
-            train_step=1000,
-            use_gray=True,
-            model=get_value_at_index(unetloader_93, 0),
-            pulid_flux=get_value_at_index(pulidfluxmodelloader_44, 0),
-            eva_clip=get_value_at_index(pulidfluxevacliploader_45, 0),
-            face_analysis=get_value_at_index(pulidfluxinsightfaceloader_46, 0),
-            image=get_value_at_index(loadimage_24, 0),
-            unique_id=17601617597548643515,
-        )
-
-        setunioncontrolnettype_41 = setunioncontrolnettype.set_controlnet_type(
-            type="tile", control_net=get_value_at_index(controlnetloader_49, 0)
-        )
-
-        controlnetapplyadvanced_37 = controlnetapplyadvanced.apply_controlnet(
-            strength=1,
-            start_percent=0.1,
-            end_percent=0.8,
-            positive=get_value_at_index(cliptextencode_42, 0),
-            negative=get_value_at_index(cliptextencode_23, 0),
-            control_net=get_value_at_index(setunioncontrolnettype_41, 0),
-            image=get_value_at_index(loadimage_40, 0),
-            vae=get_value_at_index(vaeloader_95, 0),
-        )
-
-        basicguider_122 = basicguider.get_guider(
-            model=get_value_at_index(applypulidflux_31, 0),
-            conditioning=get_value_at_index(controlnetapplyadvanced_37, 0),
-        )
-
-        basicscheduler_131 = basicscheduler.get_sigmas(
-            scheduler="beta",
-            steps=28,
-            denoise=0.75,
-            model=get_value_at_index(applypulidflux_31, 0),
-        )
-
-        samplercustomadvanced_1 = samplercustomadvanced.sample(
-            noise=get_value_at_index(randomnoise_39, 0),
-            guider=get_value_at_index(basicguider_122, 0),
-            sampler=get_value_at_index(ksamplerselect_50, 0),
-            sigmas=get_value_at_index(basicscheduler_131, 0),
-            latent_image=get_value_at_index(vaeencode_35, 0),
-        )
-
-        vaedecode_114 = vaedecode.decode(
-            samples=get_value_at_index(samplercustomadvanced_1, 0),
-            vae=get_value_at_index(vaeloader_95, 0),
-        )
-
-        faceembeddistance_117 = faceembeddistance.analize(
-            similarity_metric="cosine",
-            filter_thresh=100,
-            filter_best=0,
-            generate_image_overlay=True,
-            analysis_models=get_value_at_index(faceanalysismodels_118, 0),
-            reference=get_value_at_index(loadimage_24, 0),
-            image=get_value_at_index(vaedecode_114, 0),
-        )
-
-        saveimage_128 = saveimage.save_images(
-            filename_prefix="FaceEnhanced",
-            images=get_value_at_index(vaedecode_114, 0),
-        )
-
-        saveimage_129 = saveimage.save_images(
-            filename_prefix="FaceEmbedDist",
-            images=get_value_at_index(faceembeddistance_117, 0),
-        )
-
-
-if __name__ == "__main__":
-    main()

README.md

@@ -35,5 +35,5 @@ Enhancing faces in AI generated images.
 
 This script will:
 - Install all required dependencies to your virtual environment
-- Set up ComfyUI and necessary components
-- Download and install all required models (FLUX, ControlNet, text encoders, and more)
+- Install ComfyUI and necessary custom nodes
+- Download and install all required models (FLUX, ControlNet, text encoders, PuLID, and more)

install.py

@@ -191,7 +191,12 @@ def install_custom_nodes():
             "repo": "https://github.com/cubiq/ComfyUI_FaceAnalysis",
             "name": "ComfyUI_FaceAnalysis",
             "requirements": False
-        }
+        },
+        # {
+        #     "repo": "https://github.com/pydn/ComfyUI-to-Python-Extension",
+        #     "name": "ComfyUI-to-Python-Extension",
+        #     "requirements": True
+        # },
     ]
 
     for node in custom_nodes_git: