cd .pi/skills/create-image

# Generate an AI image (uses FLUX.1-schnell)
uv run --script generate.py "hardware verification flowchart for microprocessor" \
  --output test_figure.png \
  --size 400x600

# Generate with specific backend
uv run --script generate.py "network security architecture" \
  --output security_arch.png \
  --size 800x600 \
  --backend flux

# Use placeholder fallback
uv run --script generate.py "placeholder" \
  --output placeholder.png \
  --size 400x300 \
  --backend placeholder

uv run --script generate.py "<prompt>" [options]

# macOS only
ollama pull x/z-image-turbo
# or
ollama pull x/flux2-klein

export HF_TOKEN="hf_your_token_here"

npm install -g @mermaid-js/mermaid-cli

"APT attack kill chain diagram with reconnaissance, weaponization, delivery, exploitation phases"
"network intrusion detection system architecture"
"malware analysis workflow flowchart"

"hardware verification flow for microprocessor with RTL, synthesis, and timing analysis"
"FPGA design pipeline from HDL to bitstream"
"embedded systems boot sequence diagram"

"machine learning pipeline with data preprocessing, training, and inference stages"
"experimental methodology flowchart"
"system architecture diagram with numbered components"

# Copy cached image instead of generating
cp cached_images/flowchart.png /path/to/output.png

import fitz  # PyMuPDF

doc = fitz.open()
page = doc.new_page()

# Insert generated image
img_rect = fitz.Rect(50, 200, 450, 500)  # x0, y0, x1, y1
page.insert_image(img_rect, filename="test_figure.png")

doc.save("fixture_with_figure.pdf")

dependencies = [
    "huggingface_hub>=0.26.0",
    "httpx",
    "typer",
    "pillow",
]