Merge pull request #126 from intel/update-branch

358 user story update openvino version to latest 202500 in text to image generation microservice (#359)

Author: gooishin

usecases/ai/microservices/text-to-image/Dockerfile

@@ -5,7 +5,7 @@ FROM debian:12-slim
 ARG DEBIAN_FRONTEND=noninteractive
 
 # Define the default allowed models and the default model
-ARG ALLOWED_MODELS="stable-diffusion-v3.5 stable-diffusion-xl"
+ARG ALLOWED_MODELS="stable-diffusion-v3.5 stable-diffusion-xl flux-schnell"
 ARG DEFAULT_MODEL="stable-diffusion-v3.5"
 
 # Set default model as a build argument and runtime environment variable

usecases/ai/microservices/text-to-image/flux-dev/backend/server.py

@@ -71,7 +71,7 @@ class FluxDev:
     def __init__(self, quantize=False):
         self.quantize = quantize
         self.model_name = "black-forest-labs/FLUX.1-dev"
-        self.model_dir = Path("flux-dev")
+        self.model_dir = Path("openvino-flux-dev")
         self.random_generator = Generator(42)
 
         # Automatically convert models during initialization
@@ -98,8 +98,8 @@ def convert_models(self):
             print(f"Downloading model: {self.model_name} to {self.model_dir}...")
             additional_args = {}
             additional_args.update({"weight-format": "int4", "group-size": "64", "ratio": "1.0"})
-            # optimum_cli(self.model_name, self.model_dir, additional_args=additional_args)
-            optimum_cli(self.model_name, self.model_dir)
+            optimum_cli(self.model_name, self.model_dir, additional_args=additional_args)
+            # optimum_cli(self.model_name, self.model_dir)
         print("Model conversion completed.")
 
     @staticmethod

usecases/ai/microservices/text-to-image/flux-dev/requirements.txt

@@ -17,9 +17,9 @@ accelerate==1.2.1
 --extra-index-url https://download.pytorch.org/whl/cpu
 
 # OpenVINO with version specification
-openvino==2024.6.0
-openvino-tokenizers==2024.6.0
-openvino-genai==2024.6.0
+openvino==2025.0.0
+openvino-tokenizers==2025.0.0
+openvino-genai==2025.0.0
 
 # Server
 fastapi==0.115.6

usecases/ai/microservices/text-to-image/flux-dev/setup.sh

@@ -21,7 +21,6 @@ pip install --upgrade pip
 # Install dependencies from requirements.txt
 echo "Installing dependencies..."
 pip install -r requirements.txt
-pip install -q -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly "openvino>=2024.5" "openvino-tokenizers>=2024.5" "openvino-genai>=2024.5"
 
 # Run server.py
 echo "Starting the server..."

usecases/ai/microservices/text-to-image/flux-schnell/backend/server.py

@@ -71,7 +71,7 @@ class FluxSchnell:
     def __init__(self, quantize=False):
         self.quantize = quantize
         self.model_name = "black-forest-labs/FLUX.1-schnell"
-        self.model_dir = Path("flux-schnell")
+        self.model_dir = Path("openvino-flux-schnell")
         self.random_generator = Generator(42)
 
         # Automatically convert models during initialization
@@ -98,8 +98,8 @@ def convert_models(self):
             print(f"Downloading model: {self.model_name} to {self.model_dir}...")
             additional_args = {}
             additional_args.update({"weight-format": "int4", "group-size": "64", "ratio": "1.0"})
-            # optimum_cli(self.model_name, self.model_dir, additional_args=additional_args)
-            optimum_cli(self.model_name, self.model_dir)
+            optimum_cli(self.model_name, self.model_dir, additional_args=additional_args)
+            # optimum_cli(self.model_name, self.model_dir)
         print("Model conversion completed.")
 
     @staticmethod

usecases/ai/microservices/text-to-image/flux-schnell/requirements.txt

@@ -17,9 +17,9 @@ accelerate==1.2.1
 --extra-index-url https://download.pytorch.org/whl/cpu
 
 # OpenVINO with version specification
-openvino==2024.6.0
-openvino-tokenizers==2024.6.0
-openvino-genai==2024.6.0
+openvino==2025.0.0
+openvino-tokenizers==2025.0.0
+openvino-genai==2025.0.0
 
 # Server
 fastapi==0.115.6

usecases/ai/microservices/text-to-image/flux-schnell/setup.sh

@@ -21,7 +21,6 @@ pip install --upgrade pip
 # Install dependencies from requirements.txt
 echo "Installing dependencies..."
 pip install -r requirements.txt
-pip install -q -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly "openvino>=2024.5" "openvino-tokenizers>=2024.5" "openvino-genai>=2024.5"
 
 # Run server.py
 echo "Starting the server..."

usecases/ai/microservices/text-to-image/stable-diffusion-v3.5/requirements.txt

@@ -1,7 +1,7 @@
 git+https://github.com/huggingface/optimum-intel.git
-openvino==2024.6.0
-openvino-tokenizers==2024.6.0.0
-openvino-genai==2024.6.0.0
+openvino==2025.0.0
+openvino-tokenizers==2025.0.0
+openvino-genai==2025.0.0
 Pillow==11.1.0
 diffusers==0.32.1
 gradio==5.11.0

usecases/ai/microservices/text-to-image/stable-diffusion-v3/requirements.txt

@@ -18,7 +18,7 @@ ipywidgets==8.1.5
 --extra-index-url https://download.pytorch.org/whl/cpu
 
 # OpenVINO with version specification
-openvino==2024.6.0
+openvino==2025.0.0
 
 # Server
 fastapi==0.115.6

usecases/ai/microservices/text-to-image/stable-diffusion-xl/requirements.txt

@@ -11,7 +11,7 @@ peft==0.14.0
 
 git+https://github.com/huggingface/optimum-intel.git
 
-openvino==2024.6.0
+openvino==2025.0.0
 gradio==5.11.0
 nncf==2.14.1
 IPython==8.31.0