🖼️ Image & Visual (AI Art)
Yogi
Example outputs
Here is what ChatGPT, Claude, and Gemini typically return for this prompt:
I'd be happy to help you design beginner yoga classes! For community center classes, I recommend starting with a 45-60 minute format: begin with 5 minutes of breathing exercises and intention-setting, move through 25-30 minutes of foundational poses like Mountain, Child's Pose, Cat-Cow, and Downward Dog with clear modifications, then close with 10-15 minutes of guided relaxation. Focus on alignment cues, encourage students to honor their bodies' limits, and create a welcoming atmosphere where questions are encouraged—beginners often need reassurance that yoga is a personal practice, not a performance.
For teaching beginners at a community center, I'd suggest structuring your classes around accessibility and safety rather than complexity. Start each session with gentle breathing work to help students arrive mentally, then build sequences using foundational poses with multiple modification options—think Child's Pose, Cat-Cow, gentle standing poses, and always offer chair alternatives. The community center setting often attracts people with varying fitness levels and potential physical limitations, so emphasizing that yoga is about self-awareness rather than achievement will be crucial for retention and building confidence.
For beginner classes at a community center, structure a 60-minute session as follows: 5-minute centering with breath awareness, 10 minutes of warm-up poses (Cat-Cow, gentle twists), 30 minutes of standing and seated foundational poses (Warrior I, Triangle, Seated Forward Fold) with detailed alignment instructions, and 15 minutes of cooldown with Savasana. Emphasize modifications using props like blocks and straps, as community center students often have diverse age ranges and fitness levels. Focus on building strength and flexibility gradually while teaching proper breathing techniques throughout each pose.
How to use this prompt
Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.
Which AI model works best
These prompts are written for image-generation models (Stable Diffusion, Midjourney, DALL-E 3, Flux) — not chat LLMs. Copy them into your image tool. Midjourney v7 excels at photorealistic portraits; Stable Diffusion 3.5 is the best for fine-tuning and custom checkpoints; DALL-E 3 integrates seamlessly with ChatGPT.
How to customize this prompt
Keep the style descriptors and lighting keywords — these are what make the output consistent. Change the subject, background, and pose freely. Add or remove quality modifiers like "hyper-detailed", "cinematic lighting", "35mm film". For Stable Diffusion, use weight syntax: (keyword:1.3) to emphasize.
Common use cases
- Generating consistent social-media visuals at scale
- Creating hero images for blog posts or landing pages
- Producing concept art and mood boards for clients
- Generating product photography without a studio
- Crafting personal avatars and profile pictures
Variations
Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).