diff --git a/.gitea/workflows/build.yml b/.gitea/workflows/build.yml
deleted file mode 100644
index 10e012f..0000000
--- a/.gitea/workflows/build.yml
+++ /dev/null
@@ -1,141 +0,0 @@
-name: Build and Push Docker Image
-
-on:
-  push:
-    branches:
-      - main
-      - develop
-    tags:
-      - 'v*.*.*'
-  pull_request:
-    branches:
-      - main
-  workflow_dispatch:
-    inputs:
-      tag:
-        description: 'Custom tag for the image'
-        required: false
-        default: 'manual'
-
-env:
-  REGISTRY: dev.pivoine.art
-  IMAGE_NAME: valknar/realesrgan-api
-
-jobs:
-  build-gpu:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          submodules: recursive
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-        with:
-          platforms: linux/amd64
-
-      - name: Log in to Gitea Container Registry
-        uses: docker/login-action@v3
-        with:
-          registry: ${{ env.REGISTRY }}
-          username: ${{ gitea.actor }}
-          password: ${{ secrets.REGISTRY_TOKEN }}
-
-      - name: Extract metadata (GPU)
-        id: meta
-        uses: docker/metadata-action@v5
-        with:
-          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
-          tags: |
-            type=raw,value=latest,enable={{is_default_branch}}
-            type=ref,event=branch
-            type=ref,event=pr
-            type=semver,pattern={{version}}
-            type=semver,pattern={{major}}.{{minor}}
-            type=semver,pattern={{major}}
-            type=sha,prefix={{branch}}-
-            type=raw,value=${{ gitea.event.inputs.tag }},enable=${{ gitea.event_name == 'workflow_dispatch' }}
-          labels: |
-            org.opencontainers.image.title=realesrgan-api
-            org.opencontainers.image.description=REST API for Real-ESRGAN image upscaling (GPU)
-            org.opencontainers.image.vendor=valknar
-
-      - name: Build and push GPU image
-        uses: docker/build-push-action@v5
-        with:
-          context: .
-          platforms: linux/amd64
-          push: ${{ gitea.event_name != 'pull_request' }}
-          tags: ${{ steps.meta.outputs.tags }}
-          labels: ${{ steps.meta.outputs.labels }}
-          build-args: VARIANT=gpu
-          cache-from: type=registry,ref=${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:buildcache-gpu
-          cache-to: type=registry,ref=${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:buildcache-gpu,mode=max
-
-      - name: Summary
-        if: gitea.event_name != 'pull_request'
-        run: |
-          echo "### GPU Image Published" >> $GITEA_STEP_SUMMARY
-          echo "**Tags:**" >> $GITEA_STEP_SUMMARY
-          echo "\`\`\`" >> $GITEA_STEP_SUMMARY
-          echo "${{ steps.meta.outputs.tags }}" >> $GITEA_STEP_SUMMARY
-          echo "\`\`\`" >> $GITEA_STEP_SUMMARY
-
-  build-cpu:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          submodules: recursive
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-        with:
-          platforms: linux/amd64
-
-      - name: Log in to Gitea Container Registry
-        uses: docker/login-action@v3
-        with:
-          registry: ${{ env.REGISTRY }}
-          username: ${{ gitea.actor }}
-          password: ${{ secrets.REGISTRY_TOKEN }}
-
-      - name: Extract metadata (CPU)
-        id: meta-cpu
-        uses: docker/metadata-action@v5
-        with:
-          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
-          flavor: suffix=-cpu
-          tags: |
-            type=raw,value=latest-cpu,enable={{is_default_branch}}
-            type=ref,event=branch,suffix=-cpu
-            type=ref,event=pr,suffix=-cpu
-            type=semver,pattern={{version}},suffix=-cpu
-            type=sha,prefix={{branch}}-,suffix=-cpu
-          labels: |
-            org.opencontainers.image.title=realesrgan-api
-            org.opencontainers.image.description=REST API for Real-ESRGAN image upscaling (CPU)
-            org.opencontainers.image.vendor=valknar
-
-      - name: Build and push CPU image
-        uses: docker/build-push-action@v5
-        with:
-          context: .
-          platforms: linux/amd64
-          push: ${{ gitea.event_name != 'pull_request' }}
-          tags: ${{ steps.meta-cpu.outputs.tags }}
-          labels: ${{ steps.meta-cpu.outputs.labels }}
-          build-args: VARIANT=cpu
-          cache-from: type=registry,ref=${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:buildcache-cpu
-          cache-to: type=registry,ref=${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:buildcache-cpu,mode=max
-
-      - name: Summary
-        if: gitea.event_name != 'pull_request'
-        run: |
-          echo "### CPU Image Published" >> $GITEA_STEP_SUMMARY
-          echo "**Tags:**" >> $GITEA_STEP_SUMMARY
-          echo "\`\`\`" >> $GITEA_STEP_SUMMARY
-          echo "${{ steps.meta-cpu.outputs.tags }}" >> $GITEA_STEP_SUMMARY
-          echo "\`\`\`" >> $GITEA_STEP_SUMMARY
diff --git a/.gitea/workflows/docker-build-push.yml b/.gitea/workflows/docker-build-push.yml
new file mode 100644
index 0000000..ef6208c
--- /dev/null
+++ b/.gitea/workflows/docker-build-push.yml
@@ -0,0 +1,82 @@
+name: Build and Push Docker Image
+
+on:
+  push:
+    branches:
+      - main
+      - develop
+    tags:
+      - 'v*.*.*'
+  pull_request:
+    branches:
+      - main
+  workflow_dispatch:
+    inputs:
+      tag:
+        description: 'Custom tag for the image'
+        required: false
+        default: 'manual'
+
+env:
+  REGISTRY: dev.pivoine.art
+  IMAGE_NAME: valknar/realesrgan-api
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+        with:
+          submodules: recursive
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+        with:
+          platforms: linux/amd64
+
+      - name: Log in to Gitea Container Registry
+        uses: docker/login-action@v3
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ gitea.actor }}
+          password: ${{ secrets.REGISTRY_TOKEN }}
+
+      - name: Extract metadata
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
+          tags: |
+            type=raw,value=latest,enable={{is_default_branch}}
+            type=ref,event=branch
+            type=ref,event=pr
+            type=semver,pattern={{version}}
+            type=semver,pattern={{major}}.{{minor}}
+            type=semver,pattern={{major}}
+            type=sha,prefix={{branch}}-
+            type=raw,value=${{ gitea.event.inputs.tag }},enable=${{ gitea.event_name == 'workflow_dispatch' }}
+          labels: |
+            org.opencontainers.image.title=realesrgan-api
+            org.opencontainers.image.description=REST API for Real-ESRGAN image upscaling
+            org.opencontainers.image.vendor=valknar
+
+      - name: Build and push image
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          platforms: linux/amd64
+          push: ${{ gitea.event_name != 'pull_request' }}
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          cache-from: type=registry,ref=${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:buildcache
+          cache-to: type=registry,ref=${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:buildcache,mode=max
+
+      - name: Summary
+        if: gitea.event_name != 'pull_request'
+        run: |
+          echo "### Image Published" >> $GITEA_STEP_SUMMARY
+          echo "**Tags:**" >> $GITEA_STEP_SUMMARY
+          echo "\`\`\`" >> $GITEA_STEP_SUMMARY
+          echo "${{ steps.meta.outputs.tags }}" >> $GITEA_STEP_SUMMARY
+          echo "\`\`\`" >> $GITEA_STEP_SUMMARY
diff --git a/API_USAGE.md b/API_USAGE.md
index b8929e1..2772035 100644
--- a/API_USAGE.md
+++ b/API_USAGE.md
@@ -405,10 +405,7 @@ Detailed system information and resource usage.
   "cpu_usage_percent": 25.3,
   "memory_usage_percent": 42.1,
   "disk_usage_percent": 15.2,
-  "gpu_available": true,
-  "gpu_memory_mb": 8192,
-  "gpu_memory_used_mb": 2048,
-  "execution_providers": ["cuda"],
+  "execution_providers": ["cpu"],
   "models_dir_size_mb": 268.4,
   "jobs_queue_length": 3
 }
diff --git a/CLAUDE.md b/CLAUDE.md
index 08729a6..4ac1a33 100644
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -4,7 +4,7 @@ This file provides guidance to Claude Code when working with this repository.
 
 ## Overview
 
-This is the Real-ESRGAN API project - a sophisticated, full-featured REST API for image upscaling using Real-ESRGAN. The API supports both synchronous and asynchronous (job-based) processing with Docker containerization for CPU and GPU deployments.
+This is the Real-ESRGAN API project - a sophisticated, full-featured REST API for image upscaling using Real-ESRGAN. The API supports both synchronous and asynchronous (job-based) processing with Docker containerization for CPU deployments.
 
 ## Architecture
 
@@ -32,11 +32,11 @@ This is the Real-ESRGAN API project - a sophisticated, full-featured REST API fo
 
 ## Development Workflow
 
-### Local Setup (CPU)
+### Local Setup
 
 ```bash
 # Install dependencies
-pip install -r requirements.txt -r requirements-cpu.txt
+pip install -r requirements.txt
 
 # Run development server
 python -m uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
@@ -49,7 +49,7 @@ python -m uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
 ### Docker Development
 
 ```bash
-# Build CPU image
+# Build image
 docker compose build
 
 # Run container
@@ -62,19 +62,6 @@ docker compose logs -f api
 docker compose down
 ```
 
-### GPU Development
-
-```bash
-# Build GPU image
-docker compose -f docker-compose.gpu.yml build
-
-# Run with GPU
-docker compose -f docker-compose.gpu.yml up -d
-
-# Check GPU usage
-docker compose -f docker-compose.gpu.yml exec api nvidia-smi
-```
-
 ## Configuration
 
 ### Environment Variables (prefix: RSR_)
@@ -85,7 +72,7 @@ All settings from `app/config.py` can be configured via environment:
 RSR_UPLOAD_DIR=/data/uploads
 RSR_OUTPUT_DIR=/data/outputs
 RSR_MODELS_DIR=/data/models
-RSR_EXECUTION_PROVIDERS=["cpu"]  # or ["cuda"] for GPU
+RSR_EXECUTION_PROVIDERS=["cpu"]
 RSR_TILE_SIZE=400               # Tile size for large images
 RSR_MAX_UPLOAD_SIZE_MB=500
 RSR_SYNC_TIMEOUT_SECONDS=300
@@ -93,7 +80,7 @@ RSR_SYNC_TIMEOUT_SECONDS=300
 
 ### Docker Compose Environment
 
-Set in `docker-compose.yml` or `docker-compose.gpu.yml` `environment` section.
+Set in `docker-compose.yml` `environment` section.
 
 ## API Endpoints
 
@@ -152,7 +139,7 @@ This project follows similar patterns to facefusion-api:
 
 - **File Management**: Same `file_manager.py` utilities
 - **Worker Queue**: Similar async job processing architecture
-- **Docker Setup**: Multi-variant CPU/GPU builds
+- **Docker Setup**: CPU-only builds
 - **Configuration**: Environment-based settings with pydantic
 - **Gitea CI/CD**: Automatic Docker image building
 - **API Structure**: Organized routers and services
@@ -199,16 +186,6 @@ curl -X POST http://localhost:8000/api/v1/models/download \
   -d '{"models": ["RealESRGAN_x4plus"]}'
 ```
 
-### GPU Not Detected
-
-```bash
-# Check GPU availability
-docker compose -f docker-compose.gpu.yml exec api python -c "import torch; print(torch.cuda.is_available())"
-
-# Check system GPU
-nvidia-smi
-```
-
 ### Permission Issues with Volumes
 
 ```bash
@@ -231,14 +208,13 @@ git push gitea main
 ```
 
 Gitea workflows automatically:
-- Build Docker images (CPU and GPU)
+- Build Docker image
 - Run tests
 - Publish to Container Registry
 
 ## Important Notes
 
 - **Model Weights**: Downloaded from GitHub releases (~100MB each)
-- **GPU Support**: Requires NVIDIA Docker runtime
 - **Async Processing**: Uses thread pool (configurable workers)
 - **Tile Processing**: Handles large images by splitting into tiles
 - **Data Persistence**: Volumes recommended for production
diff --git a/Dockerfile b/Dockerfile
index d062bff..dd2ac11 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,42 +1,18 @@
-ARG VARIANT=cpu
-
-# ---- CPU base ----
-FROM python:3.11-slim AS base-cpu
+# ---- Base Stage ----
+FROM python:3.11-slim AS base
 
+# Install system dependencies
 RUN apt-get update && apt-get install -y --no-install-recommends \
     curl libgl1 libglib2.0-0 \
     && rm -rf /var/lib/apt/lists/*
 
+# Install Python dependencies
 COPY requirements.txt /tmp/requirements.txt
-COPY requirements-cpu.txt /tmp/requirements-cpu.txt
-RUN pip install --no-cache-dir -r /tmp/requirements.txt -r /tmp/requirements-cpu.txt \
+RUN pip install --no-cache-dir -r /tmp/requirements.txt \
     && rm /tmp/requirements*.txt
 
-# ---- GPU base (CUDA 12.4) ----
-FROM nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04 AS base-gpu
-
-ENV DEBIAN_FRONTEND=noninteractive
-
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    software-properties-common \
-    && add-apt-repository ppa:deadsnakes/ppa \
-    && apt-get update \
-    && apt-get install -y --no-install-recommends \
-    python3.11 python3.11-venv python3.11-dev \
-    curl libgl1 libglib2.0-0 \
-    && ln -sf /usr/bin/python3.11 /usr/bin/python3 \
-    && ln -sf /usr/bin/python3 /usr/bin/python \
-    && python3 -m ensurepip --upgrade \
-    && python3 -m pip install --no-cache-dir --upgrade pip \
-    && rm -rf /var/lib/apt/lists/*
-
-COPY requirements.txt /tmp/requirements.txt
-COPY requirements-gpu.txt /tmp/requirements-gpu.txt
-RUN pip install --no-cache-dir -r /tmp/requirements.txt -r /tmp/requirements-gpu.txt \
-    && rm /tmp/requirements*.txt
-
-# ---- Final stage ----
-FROM base-${VARIANT} AS final
+# ---- Final Stage ----
+FROM base AS final
 
 WORKDIR /app
 
diff --git a/QUICKSTART.md b/QUICKSTART.md
index e6fb435..3818e05 100644
--- a/QUICKSTART.md
+++ b/QUICKSTART.md
@@ -1,6 +1,6 @@
 # Quick Start Guide
 
-## 1. Local Development (CPU, ~2 minutes)
+## 1. Local Development (~2 minutes)
 
 ```bash
 # Clone or navigate to project
@@ -100,7 +100,7 @@ Try endpoints directly in Swagger UI!
 # Check system health
 curl http://localhost:8000/api/v1/health
 
-# Get detailed system info (CPU, memory, GPU, etc.)
+# Get detailed system info (CPU, memory, disk, etc.)
 curl http://localhost:8000/api/v1/system
 
 # Get API statistics
@@ -110,25 +110,7 @@ curl http://localhost:8000/api/v1/stats
 curl http://localhost:8000/api/v1/jobs
 ```
 
-## 6. GPU Setup (Optional, requires NVIDIA)
-
-```bash
-# Build with GPU support
-docker compose -f docker-compose.gpu.yml build
-
-# Run with GPU
-docker compose -f docker-compose.gpu.yml up -d
-
-# Verify GPU is accessible
-docker compose -f docker-compose.gpu.yml exec api nvidia-smi
-
-# Download models again on GPU
-curl -X POST http://localhost:8000/api/v1/models/download \
-  -H 'Content-Type: application/json' \
-  -d '{"models": ["RealESRGAN_x4plus"]}'
-```
-
-## 7. Production Deployment
+## 6. Production Deployment
 
 ```bash
 # Update docker-compose.prod.yml with your registry/domain
diff --git a/README.md b/README.md
index 6509eb5..ad87efe 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
 # Real-ESRGAN API
 
-REST API wrapping [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) for image upscaling. Features synchronous and asynchronous (job-based) processing with multi-target Docker builds (CPU + CUDA GPU support).
+REST API wrapping [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) for image upscaling. Features synchronous and asynchronous (job-based) processing with Docker containerization.
 
 ## Features
 
@@ -9,15 +9,15 @@ REST API wrapping [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) for imag
 - **Multi-Model Support**: Multiple Real-ESRGAN models (2x, 3x, 4x upscaling)
 - **Batch Processing**: Process up to 100 images per batch request
 - **Model Management**: Download and manage upscaling models
-- **Docker Deployment**: CPU and CUDA GPU support with multi-target builds
+- **Docker Deployment**: Simplified containerized deployment
 - **Gitea CI/CD**: Automatic Docker image building and publishing
 - **API Documentation**: Interactive Swagger UI and ReDoc
 - **Health Checks**: Kubernetes-ready liveness and readiness probes
-- **System Monitoring**: CPU, memory, disk, and GPU metrics
+- **System Monitoring**: CPU, memory, and disk metrics
 
 ## Quick Start
 
-### Local Development (CPU)
+### Local Development
 
 ```bash
 # Build and run
@@ -47,14 +47,6 @@ curl http://localhost:8000/api/v1/jobs/{job_id}
 curl http://localhost:8000/api/v1/jobs/{job_id}/result -o output.jpg
 ```
 
-### GPU Support
-
-```bash
-# Build with GPU support and run
-docker compose -f docker-compose.gpu.yml build
-docker compose -f docker-compose.gpu.yml up -d
-```
-
 ## API Endpoints
 
 ### Upscaling
@@ -122,14 +114,14 @@ RSR_AUTO_CLEANUP_HOURS=24              # Auto cleanup interval
 
 ## Docker Deployment
 
-### Development (CPU)
+### Local/Development
 
 ```bash
 docker compose build
 docker compose up -d
 ```
 
-### Production (GPU)
+### Production
 
 ```bash
 docker compose -f docker-compose.prod.yml up -d
@@ -139,7 +131,7 @@ docker compose -f docker-compose.prod.yml up -d
 
 The `.gitea/workflows/build.yml` automatically:
 
-1. Builds Docker images for CPU and GPU variants
+1. Builds Docker image
 2. Publishes to Gitea Container Registry
 3. Tags with git commit SHA and latest
 
@@ -174,7 +166,6 @@ app/
 
 - **Synchronous Upscaling**: Best for small images (< 4MP)
 - **Asynchronous Jobs**: Recommended for large batches or high concurrency
-- **GPU Performance**: 2-5x faster than CPU depending on model and image size
 - **Tile Processing**: Efficiently handles images up to 8K resolution
 
 ## Development
@@ -182,7 +173,7 @@ app/
 Install dependencies:
 
 ```bash
-pip install -r requirements.txt -r requirements-cpu.txt
+pip install -r requirements.txt
 ```
 
 Run locally:
diff --git a/app/routers/health.py b/app/routers/health.py
index b88d2ed..c35c0e4 100644
--- a/app/routers/health.py
+++ b/app/routers/health.py
@@ -75,20 +75,6 @@ async def get_system_info() -> SystemInfo:
         disk = psutil.disk_usage('/')
         disk_percent = disk.percent
         
-        # GPU
-        gpu_available = False
-        gpu_memory_mb = None
-        gpu_memory_used_mb = None
-        
-        try:
-            import torch
-            gpu_available = torch.cuda.is_available()
-            if gpu_available:
-                gpu_memory_mb = int(torch.cuda.get_device_properties(0).total_memory / (1024 * 1024))
-                gpu_memory_used_mb = int(torch.cuda.memory_allocated(0) / (1024 * 1024))
-        except Exception:
-            pass
-        
         # Models directory size
         models_size = file_manager.get_directory_size_mb(settings.models_dir)
         
@@ -103,9 +89,6 @@ async def get_system_info() -> SystemInfo:
             cpu_usage_percent=cpu_percent,
             memory_usage_percent=memory_percent,
             disk_usage_percent=disk_percent,
-            gpu_available=gpu_available,
-            gpu_memory_mb=gpu_memory_mb,
-            gpu_memory_used_mb=gpu_memory_used_mb,
             execution_providers=settings.get_execution_providers(),
             models_dir_size_mb=models_size,
             jobs_queue_length=queue_length,
diff --git a/app/schemas/health.py b/app/schemas/health.py
index d429410..79cb17a 100644
--- a/app/schemas/health.py
+++ b/app/schemas/health.py
@@ -20,9 +20,6 @@ class SystemInfo(BaseModel):
     cpu_usage_percent: float
     memory_usage_percent: float
     disk_usage_percent: float
-    gpu_available: bool
-    gpu_memory_mb: Optional[int] = None
-    gpu_memory_used_mb: Optional[int] = None
     execution_providers: list
     models_dir_size_mb: float
     jobs_queue_length: int
diff --git a/app/services/realesrgan_bridge.py b/app/services/realesrgan_bridge.py
index 1494c7b..0d5f742 100644
--- a/app/services/realesrgan_bridge.py
+++ b/app/services/realesrgan_bridge.py
@@ -83,7 +83,7 @@ class RealESRGANBridge:
                 tile=settings.tile_size,
                 tile_pad=settings.tile_pad,
                 pre_pad=0,
-                half=('cuda' in settings.get_execution_providers()),
+                half=False,
             )
             
             self.current_model = model_name
@@ -134,7 +134,7 @@ class RealESRGANBridge:
                 tile=settings.tile_size,
                 tile_pad=settings.tile_pad,
                 pre_pad=0,
-                half=('cuda' in settings.get_execution_providers()),
+                half=False,
             )
             
             self.current_model = model_name
@@ -198,15 +198,6 @@ class RealESRGANBridge:
             return self.upsampler.scale
         return 4
 
-    def clear_memory(self) -> None:
-        """Clear GPU memory if available."""
-        try:
-            import torch
-            torch.cuda.empty_cache()
-            logger.debug('GPU memory cleared')
-        except Exception:
-            pass
-
 
 # Global instance
 _bridge: Optional[RealESRGANBridge] = None
diff --git a/docker-compose.gpu.yml b/docker-compose.gpu.yml
deleted file mode 100644
index 51ff916..0000000
--- a/docker-compose.gpu.yml
+++ /dev/null
@@ -1,27 +0,0 @@
-services:
-  api:
-    build:
-      context: .
-      args:
-        VARIANT: gpu
-    ports:
-      - "8000:8000"
-    volumes:
-      - ./data/uploads:/data/uploads
-      - ./data/outputs:/data/outputs
-      - ./data/models:/data/models
-      - ./data/temp:/data/temp
-      - ./data/jobs:/data/jobs
-    environment:
-      - RSR_EXECUTION_PROVIDERS=["cuda"]
-      - RSR_EXECUTION_THREAD_COUNT=8
-      - RSR_TILE_SIZE=400
-      - RSR_LOG_LEVEL=info
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              count: 1
-              capabilities: [gpu]
-    restart: unless-stopped
diff --git a/docker-compose.prod.yml b/docker-compose.prod.yml
index bcc98c8..b88b4e2 100644
--- a/docker-compose.prod.yml
+++ b/docker-compose.prod.yml
@@ -10,17 +10,10 @@ services:
       - temp:/data/temp
       - jobs:/data/jobs
     environment:
-      - RSR_EXECUTION_PROVIDERS=["cuda"]
+      - RSR_EXECUTION_PROVIDERS=["cpu"]
       - RSR_EXECUTION_THREAD_COUNT=8
       - RSR_TILE_SIZE=400
       - RSR_LOG_LEVEL=info
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              count: 1
-              capabilities: [gpu]
     restart: always
     healthcheck:
       test: ["CMD", "curl", "-f", "http://localhost:8000/api/v1/health"]
diff --git a/docker-compose.yml b/docker-compose.yml
index f4a6e06..cf3d568 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -2,8 +2,6 @@ services:
   api:
     build:
       context: .
-      args:
-        VARIANT: cpu
     ports:
       - "8000:8000"
     volumes:
diff --git a/requirements-cpu.txt b/requirements-cpu.txt
deleted file mode 100644
index fb0d321..0000000
--- a/requirements-cpu.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-torch==2.0.1
-torchvision==0.15.2
-realesrgan>=0.2.5
-basicsr>=1.4.1
diff --git a/requirements-gpu.txt b/requirements-gpu.txt
deleted file mode 100644
index fbf8356..0000000
--- a/requirements-gpu.txt
+++ /dev/null
@@ -1,5 +0,0 @@
---extra-index-url https://download.pytorch.org/whl/cu118
-torch==2.0.1
-torchvision==0.15.2
-realesrgan>=0.2.5
-basicsr>=1.4.1
diff --git a/requirements.txt b/requirements.txt
index d5efc1f..49beb60 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -10,3 +10,7 @@ opencv-python==4.8.1.78
 numpy==1.24.3
 scipy==1.11.4
 tqdm==4.66.1
+torch==2.0.1
+torchvision==0.15.2
+realesrgan>=0.2.5
+basicsr>=1.4.1