🖼️ Bild & Visuell (KI-Kunst)
Yogi
Beispiel-Ausgaben
So antworten ChatGPT, Claude und Gemini typischerweise auf diesen 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.
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Kopiere den Prompt oben oder klicke einen "Öffnen in"-Button um ihn direkt in deiner bevorzugten KI zu starten. Du kannst den Text dann an deinen Anwendungsfall anpassen — z.B. Platzhalter wie [dein Thema] durch echten Kontext ersetzen.
Welches KI-Modell funktioniert am besten
Diese Prompts sind für Bild-Generierungs-Modelle geschrieben (Stable Diffusion, Midjourney, DALL-E 3, Flux) — nicht für Chat-LLMs. Kopiere sie in dein Bild-Tool. Midjourney v7 ist Spitze bei photorealistischen Portraits; Stable Diffusion 3.5 am besten für Fine-Tuning und Custom-Checkpoints; DALL-E 3 integriert nahtlos mit ChatGPT.
Diesen Prompt anpassen
Behalte Style-Descriptors und Lighting-Keywords — das macht den Output konsistent. Motiv, Hintergrund und Pose kannst du frei ändern. Füge Qualitäts-Modifiers hinzu oder entferne sie: "hyper-detailed", "cinematic lighting", "35mm film". Bei Stable Diffusion: Gewichts-Syntax (keyword:1.3) zur Betonung.
Typische Anwendungsfälle
- Konsistente Social-Media-Visuals in Masse generieren
- Hero-Bilder für Blog-Posts oder Landing-Pages erstellen
- Concept-Art und Mood-Boards für Kunden produzieren
- Produkt-Fotografie ohne Studio
- Persönliche Avatare und Profilbilder erstellen
Variationen
Passe den Tonfall an (lockerer, technischer), ändere das Ausgabeformat (Aufzählungen vs. Absätze) oder füge Einschränkungen hinzu (Wortlimits, Zielgruppe).