From 07827ef34ff30d4bf5187cfe82b62cd38493c019 Mon Sep 17 00:00:00 2001
From: xenia-kra <81739495+xenia-kra@users.noreply.github.com>
Date: Mon, 10 Mar 2025 12:45:44 +0400
Subject: [PATCH] tailored portrait (#18)

---
 __init__.py                     |  2 +
 nodes/__init__.py               |  1 +
 nodes/tailored_portrait_node.py | 72 +++++++++++++++++++++++++++++++++
 3 files changed, 75 insertions(+)
 create mode 100644 nodes/tailored_portrait_node.py

diff --git a/__init__.py b/__init__.py
index 77c0b2e..d578aa7 100644
--- a/__init__.py
+++ b/__init__.py
@@ -1,3 +1,4 @@
+from nodes.tailored_portrait_node import TailoredPortraitNode
 from .nodes import (EraserNode, GenFillNode, ImageExpansionNode, ReplaceBgNode, RmbgNode, RemoveForegroundNode, ShotByTextNode, ShotByImageNode, TailoredGenNode,
                      TailoredModelInfoNode, Text2ImageBaseNode, Text2ImageFastNode, Text2ImageHDNode,
                      ReimagineNode)
@@ -13,6 +14,7 @@ NODE_CLASS_MAPPINGS = {
     "ShotByImageNode": ShotByImageNode,
     "BriaTailoredGen": TailoredGenNode,
     "TailoredModelInfoNode": TailoredModelInfoNode,
+    "TailoredPortraitNode": TailoredPortraitNode,
     "Text2ImageBaseNode": Text2ImageBaseNode,
     "Text2ImageFastNode": Text2ImageFastNode,
     "Text2ImageHDNode": Text2ImageHDNode,
diff --git a/nodes/__init__.py b/nodes/__init__.py
index b4621a1..2002920 100644
--- a/nodes/__init__.py
+++ b/nodes/__init__.py
@@ -8,6 +8,7 @@ from .shot_by_text_node import ShotByTextNode
 from .shot_by_image_node import ShotByImageNode
 from .tailored_gen_node import TailoredGenNode
 from .tailored_model_info_node import TailoredModelInfoNode
+from .tailored_portrait_node import TailoredPortraitNode
 from .text_2_image_base_node import Text2ImageBaseNode
 from .text_2_image_fast_node import Text2ImageFastNode
 from .text_2_image_hd_node import Text2ImageHDNode
diff --git a/nodes/tailored_portrait_node.py b/nodes/tailored_portrait_node.py
new file mode 100644
index 0000000..bb5eb6a
--- /dev/null
+++ b/nodes/tailored_portrait_node.py
@@ -0,0 +1,72 @@
+import numpy as np
+import requests
+from PIL import Image
+import io
+import torch
+
+from .common import image_to_base64
+
+class TailoredPortraitNode():
+    @classmethod
+    def INPUT_TYPES(self):
+        return {
+            "required": {
+                "image": ("IMAGE",),  # Input image from another node
+                "tailored_model_id": ("INT",),
+                "api_key": ("STRING", {"default": "BRIA_API_TOKEN"}), # API Key input with a default value
+            },
+            "optional": {
+                "seed": ("INT", {"default": 123456}),
+                "tailored_model_influence": ("FLOAT", {"default": 0.9}),
+                "id_strength": ("FLOAT", {"default": 0.7}),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("output_image",)
+    CATEGORY = "API Nodes"
+    FUNCTION = "execute"  # This is the method that will be executed
+
+    def __init__(self):
+        self.api_url = "https://engine.prod.bria-api.com/v1/tailored-gen/restyle_portrait"  # Eraser API URL
+
+    # Define the execute method as expected by ComfyUI
+    def execute(self, image, tailored_model_id, api_key, seed, tailored_model_influence, id_strength):
+        if api_key.strip() == "" or api_key.strip() == "BRIA_API_TOKEN":
+            raise Exception("Please insert a valid API key.")
+
+        # Convert the image and mask directly to Base64 strings
+        image_base64 = image_to_base64(image)
+
+        # Prepare the API request payload
+        payload = {
+            "id_image_file": f"{image_base64}",
+            "tailored_model_id": tailored_model_id,
+            "tailored_model_influence": tailored_model_influence,
+            "id_strength": id_strength,
+            "seed": seed
+        }
+
+        headers = {
+            "Content-Type": "application/json",
+            "api_token": f"{api_key}"
+        }
+
+        try:
+            response = requests.post(self.api_url, json=payload, headers=headers)
+            # Check for successful response
+            if response.status_code == 200:
+                print('response is 200')
+                # Process the output image from API response
+                response_dict = response.json()
+                image_response = requests.get(response_dict['image_res'])
+                result_image = Image.open(io.BytesIO(image_response.content))
+                result_image = result_image.convert("RGB")
+                result_image = np.array(result_image).astype(np.float32) / 255.0
+                result_image = torch.from_numpy(result_image)[None,]
+                return (result_image,)
+            else:
+                raise Exception(f"Error: API request failed with status code {response.status_code}")
+
+        except Exception as e:
+            raise Exception(f"{e}")