Deep Forest

A majestic and immersive aesthetic designed for environmental conservation, ecology, and deep nature topics. It features the geometric Garet typeface. Characterized by a palette of deep forest greens, charcoal, and moss, it uses high-contrast white text over foggy forest photography to create a professional, scientific, and atmospheric editorial look.

More like this

Palette

  • Background #FAFAFA
  • Text #1B5E20

Typography

primary heading
Agrandir Wide, sans-serif
secondary heading
Agrandir, regular
body text
Poppins, regular

Key visual elements

  • Full-bleed photography of forests and mountains
  • Minimalist leaf icons used as bullet points or accents
  • High-contrast layouts (large dark headlines on light backgrounds)
  • Rounded image corners to soften the rugged imagery

YAML

description: "A rugged and authentic aesthetic that honors the raw beauty of deep forests and mountain landscapes. It features the wide and impactful Agrandir Wide typeface for headlines that stand out against vast nature photography. Characterized by a palette of deep forest green and charcoal, it uses high-contrast layouts and minimal leaf icons to create a sense of conservation and wilderness adventure."
design_system:
  global_style:
    theme: "Deep Forest. Rugged and minimalist nature design for environmental and hiking presentations."
    typography: 
      primary_heading: "Agrandir Wide, sans-serif"
      secondary_heading: "Agrandir, regular"
      body_text: "Poppins, regular"
    color_palette:
      primary: "#1B5E20" # Deep Forest Green
      secondary: "#212121" # Charcoal Black
      background: "#FAFAFA" # Off-White
      surface: "#E8F5E9" # Pale Leaf Green
      text_main: "#1B5E20"
      text_secondary: "#424242"
    key_visual_elements: 
      - "Full-bleed photography of forests and mountains"
      - "Minimalist leaf icons used as bullet points or accents"
      - "High-contrast layouts (large dark headlines on light backgrounds)"
      - "Rounded image corners to soften the rugged imagery"

  image_generation_prompts:
    style_guidelines: "High-contrast nature photography, deep forest green and charcoal accents, wide cinematic shots, rugged wilderness atmosphere, Agrandir Wide font vibe."
    themes:
      - target: "Sustainability"
        prompt_elements: "Close-up of pine needles with morning dew, deep green tones, minimalist charcoal text box, authentic and environmental."
      - target: "Hiking Adventure"
        prompt_elements: "A person walking on a mountain trail, vast forest background, high contrast, rugged and adventurous aesthetic."

slide_layout_templates:
  - type: "Wilderness_Headline"
    usage: "Large Agrandir Wide headline overlapping a cinematic forest photo"
  - type: "Leaf_Info"
    usage: "Bullet points marked by small green leaf icons on a clean charcoal surface"
  - type: "Contrast_Visual"
    usage: "A split slide with a dark green side for text and a full-height photo on the other"

Related styles

Frequently Asked Questions

Everything you need to know about using NotebookLM Styles.

What is NotebookLM Slide Styles?

It's a curated collection of visual design themes specifically formatted as YAML prompts for NotebookLM. These styles help you transform standard AI-generated slides into professional, aesthetically pleasing presentations.

How do I use these styles?

Simply find a style you like, click the 'Copy' button on the YAML code, and paste it into the 'Custom Instructions' or 'Style' field when generating slides in NotebookLM.

Are these styles free to use?

Yes! This is an open-source project created for the community. You can use, modify, and share these styles freely for your personal or professional projects.

Can I contribute my own styles?

Absolutely. We love community contributions. You can submit your styles by opening a Pull Request on our GitHub repository with your YAML configuration and a preview image.

How do I report a bug or suggest a feature?

You can use the 'Report Issue' link in the footer or visit our GitHub Issues page. We actively monitor feedback to improve the collection.