Stable Diffusion Kurulumu: Self-Hosted Görsel Üretimi

# Bağımlılıklar
sudo apt-get update
sudo apt-get install -y python3-venv python3-pip git wget

# Repo klonlama
git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
cd stable-diffusion-webui

# Model indirme (Stable Diffusion XL)
wget -O models/Stable-diffusion/sd_xl_base_1.0.safetensors \
  "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors"

# Başlatma
./webui.sh --listen --port 7860 --xformers --enable-insecure-extension-access

version: '3.8'
services:
  stable-diffusion:
    image: ghcr.io/abetlen/stable-diffusion-webui-docker:latest
    container_name: sd-webui
    ports:
      - "7860:7860"
    volumes:
      - sd_models:/app/models
      - sd_outputs:/app/outputs
      - sd_extensions:/app/extensions
    environment:
      - COMMANDLINE_ARGS=--listen --xformers --enable-insecure-extension-access --no-half-vae
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]
    restart: unless-stopped

volumes:
  sd_models:
  sd_outputs:
  sd_extensions:

cat > /etc/systemd/system/sd-webui.service << 'EOF'
[Unit]
Description=Stable Diffusion Web UI
After=network.target

[Service]
Type=simple
User=sduser
WorkingDirectory=/opt/stable-diffusion-webui
ExecStart=/opt/stable-diffusion-webui/webui.sh --listen --port 7860 --xformers
Restart=on-failure
RestartSec=10
Environment=HOME=/opt/stable-diffusion-webui

[Install]
WantedBy=multi-user.target
EOF

systemctl daemon-reload
systemctl enable --now sd-webui

# Repo klonlama
git clone https://github.com/comfyanonymous/ComfyUI.git
cd ComfyUI

# Python sanal ortam
python3 -m venv venv
source venv/bin/activate

# Bağımlılıklar
pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu121
pip install -r requirements.txt

# Model dizinine model kopyalama
cp /path/to/sd_xl_base_1.0.safetensors models/checkpoints/

# Başlatma
python main.py --listen 0.0.0.0 --port 8188

version: '3.8'
services:
  comfyui:
    image: ghcr.io/ai-dock/comfyui:latest
    container_name: comfyui
    ports:
      - "8188:8188"
    volumes:
      - comfy_models:/opt/ComfyUI/models
      - comfy_output:/opt/ComfyUI/output
      - comfy_custom:/opt/ComfyUI/custom_nodes
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]
    restart: unless-stopped

volumes:
  comfy_models:
  comfy_output:
  comfy_custom:

# Stable Diffusion XL Base
wget -O models/Stable-diffusion/sd_xl_base_1.0.safetensors \
  "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors"

# SDXL Refiner
wget -O models/Stable-diffusion/sd_xl_refiner_1.0.safetensors \
  "https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/resolve/main/sd_xl_refiner_1.0.safetensors"

# Stable Diffusion 1.5 (düşük VRAM için)
wget -O models/Stable-diffusion/v1-5-pruned-emaonly.safetensors \
  "https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors"

# SDXL VAE
wget -O models/VAE/sdxl_vae.safetensors \
  "https://huggingface.co/stabilityai/sdxl-vae/resolve/main/sdxl_vae.safetensors"

# LoRA modellerini models/Lora dizinine yerleştirin
mkdir -p models/Lora

# Civitai veya HuggingFace'den LoRA indirme
wget -O models/Lora/detail-enhancer.safetensors \
  "https://huggingface.co/example/detail-enhancer/resolve/main/model.safetensors"

a beautiful landscape, mountains, sunset <lora:detail-enhancer:0.7>

# ControlNet eklentisi kurulumu (AUTOMATIC1111)
cd extensions
git clone https://github.com/Mikubill/sd-webui-controlnet.git

# ControlNet modelleri
mkdir -p models/ControlNet
wget -O models/ControlNet/control_v11p_sd15_canny.pth \
  "https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_canny.pth"

wget -O models/ControlNet/control_v11p_sd15_openpose.pth \
  "https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_openpose.pth"

import requests
import base64
from pathlib import Path

def generate_image(prompt, negative_prompt="", steps=30, width=1024, height=1024):
    url = "http://localhost:7860/sdapi/v1/txt2img"
    payload = {
        "prompt": prompt,
        "negative_prompt": negative_prompt,
        "steps": steps,
        "width": width,
        "height": height,
        "sampler_name": "DPM++ 2M Karras",
        "cfg_scale": 7,
        "seed": -1
    }
    
    response = requests.post(url, json=payload)
    result = response.json()
    
    # Görseli kaydet
    image_data = base64.b64decode(result["images"][0])
    Path("output.png").write_bytes(image_data)
    print("Görsel kaydedildi: output.png")

# Kullanım
generate_image(
    prompt="a futuristic data center, neon lights, cyberpunk style, 8k",
    negative_prompt="blurry, low quality, distorted"
)

# xformers ile bellek optimizasyonu
pip install xformers

# Başlatma parametreleri
./webui.sh --listen \
  --xformers \
  --opt-sdp-attention \
  --no-half-vae \
  --medvram \
  --port 7860

server {
    listen 443 ssl;
    server_name sd.example.com;

    ssl_certificate /etc/letsencrypt/live/sd.example.com/fullchain.pem;
    ssl_certificate_key /etc/letsencrypt/live/sd.example.com/privkey.pem;

    client_max_body_size 100M;

    location / {
        proxy_pass http://127.0.0.1:7860;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_http_version 1.1;
        proxy_set_header Upgrade $http_upgrade;
        proxy_set_header Connection "upgrade";
        proxy_read_timeout 600s;
    }
}