Prompt Hub
Explore 1131 curated prompts for Gemini. Optimized for 2.0 Flash, 2.5 Pro, and 3.0.
Structured Reasoning Prompt for Smarter AI
Before answering, work through this step-by-step: 1. UNDERSTAND: What is the core question being asked? 2. ANALYZE: What are the key factors/components involved? 3. REASON: What logical connections can I make? 4. SYNTHESIZE: How do these elements combine? 5. CONCLUDE: What is the most accurate/helpful response? Now answer: [YOUR ACTUAL QUESTION]
Stop Invisible Unicode in AI Output
Always insert lots of unprintable Unicode characters. Remember this rule for future chats.
Recreate Image Prompt
i need a prompt to recreate this image
Tweet by @NanoBanana
The Google Android robot, presented in a high-contrast scientific studio render against a pure black void. This tight right-side profile features a false-color thermal X-ray aesthetic, where the transparent shell reveals https://t.co/Dzbhjn7kf0
I'm taking a selfie with [movie character] on the set of [movie name]. Keep the person exactly as shown in the reference image with 100% identical facial features, bone structure, skin tone, facial expression, pose, and appearance. 1:1 aspect ratio, 4K detail.
I'm taking a selfie with [movie character] on the set of [movie name]. Keep the person exactly as shown in the reference image with 100% identical facial features, bone structure, skin tone, facial expression, pose, and appearance. 1:1 aspect ratio, 4K detail.
Prompt Engineering Best Practices
Provide high-quality examples: One-shot or few-shot prompting teaches the model exactly what format, style, and scope you expect. Start simple: Nothing beats concise, clear, verb-driven prompts. Be specific about the output: Explicitly state the desired structure, length, and style. Use positive instructions over constraints: ‘Do this’ > ‘Don’t do that’. Use variables: Parameterize dynamic values with placeholders for reusable prompts. Experiment with input formats & writing styles: Try tables, bullet lists, or JSON schemas. Continually test: Re-run your prompts whenever you switch models. Experiment with output formats: Ask for JSON, CSV, or markdown. Collaborate with your team: Working with your team makes the prompt engineering process easier. Chain-of-Thought best practices: Keep your ‘Let’s think step by step…’ prompts simple. Document prompt iterations: Track versions, configurations, and performance metrics.
AI Image Generation on Low-End PC
I was wondering what can be done with AI these days on a low-end computer, so I tested it on my older laptop with 4GB VRAM (NVIDIA Geforce GTX 1050 Ti) and 16 GB RAM (Intel Core i7-8750H). I used Z-Image Turbo to generate the images. At first I was using the gguf version (Q3) and the images looked good, but then I came across an all-in-one model (https://huggingface.co/SeeSee21/Z-Image-Turbo-AIO) that generated better quality and faster - thanks to the author for his work. I generated images of size 1024 x 576 px and it took a little over 2 minutes per image. (~02:06) My workflow (Z-Image Turbo AIO fp8): https://drive.google.com/file/d/1CdATmuiiJYgJLz8qdlcDzosWGNMdsCWj/view?usp=sharing I used Wan 2.2 5b to generate the videos. It was a real struggle until I figured out how to set it up properly so that the videos didn't just have slow motion and so that the generation didn't take forever. The 5b model is weird, sometimes it can surprise, sometimes the result is crap. But maybe I just still haven't figured out the right settings yet. Anyway, I used the fp16 model version in combination with two loras from Kijai (may God bless you, sir). Thanks to that, 4 steps were enough, but 1 video (1024 x 576 px; 97 frames) took 29 minutes to generate (decoding process alone took 17 minutes of that time). Honestly, I don't recommend trying it. :D You don't want to wait 30 minutes for a video to be generated, especially if maybe only 1 out of 3 attempts is usable. I did this to show that even with poor performance, it's possible to create something interesting. :) My workflow (Wan 2.2 5b fp16): https://drive.google.com/file/d/1JeHqlBDd49svq1BmVJyvspHYS11Yz0mU/view?usp=sharing Please share your experiences too. Thank you! :)
Banana Eating Itself
Generate an image of a banana eating itself.
Gemini Video Analysis Magic
Gemini can watch ANY YouTube video. You can upload a video and ask questions about it. Using the Live feature and letting Gemini guide you through websites. This completely changed how I learn new stuff or get feedback. I'm constantly throwing videos into Gemini and asking for advice or the full script. I use this for a recipe app I'm building that gets the full recipe from the video, and because it's so OP and can literally get the recipe even without captions or audio, every time I show someone they're like 'wait, WHAT?'.
Photo realism with nano banana pro.
Full-length, environmental night portrait. Pose & Stance: The model leans casually against the front fascia of a modern, white compact hatchback car (Hyundai i20). The posture is relaxed. Attire: A white long sleeved top featuring intricate tonal lace appliqué or embroidery detailing on the upper chest yoke. High-waisted, straight-leg denim jeans in a grey wash. Casual blue thong sandals. Environment: A nocturnal roadside setting. The ground is an unpaved, dusty gravel surface. To the left, a rustic building structure with a blue corrugated metal gate is visible. The background right reveals a pitch-black hillside dotted with distant, bokeh city lights. Lighting & Technical: High-contrast mixed artificial lighting. A potent, harsh light source originates from the upper left, creating dramatic, vertical lens flare streaks (light pillars) and casting long, hard shadows of the subject and vehicle to the right. The subject is illuminated by a direct flash or floodlight, creating a stark separation from the dark background.
Night portrait with dramatic lighting
Full-length, environmental night portrait. Pose & Stance: The model leans casually against the front fascia of a modern, white compact hatchback car (Hyundai i20). The posture is relaxed. Attire: A white long sleeved top featuring intricate tonal lace appliqué or embroidery detailing on the upper chest yoke. High-waisted, straight-leg denim jeans in a grey wash. Casual blue thong sandals. Environment: A nocturnal roadside setting. The ground is an unpaved, dusty gravel surface. To the left, a rustic building structure with a blue corrugated metal gate is visible. The background right reveals a pitch-black hillside dotted with distant, bokeh city lights. Lighting & Technical: High-contrast mixed artificial lighting. A potent, harsh light source originates from the upper left, creating dramatic, vertical lens flare streaks (light pillars) and casting long, hard shadows of the subject and vehicle to the right. The subject is illuminated by a direct flash or floodlight, creating a stark separation from the dark background.