Digital Illustration Process

When we started Gamma, we had one image model. It was slow, unpredictable, but it still felt like magic. 1 billion images later, we offer multiple models. Here’s why: — Background — Back when we started, Stable Diffusion was our only option. Every image felt like rolling dice. But as new models emerged, we saw different models used for different jobs. Think of it like having a complete art set. Sometimes you need a paintbrush, sometimes you need a color pencil. Each tool has its moment. After studying usage patterns across 50 million users, here's what we've learned: 1. Flux - Photorealist When you need something really great at photorealistic images, use Flux. It's optimized for images that need to look real. 2. OpenAI GPT Image - Text Adherence When you need models that can actually adhere to text requirements and complex prompts, OpenAI's models deliver exactly what you ask for. 3. Imagen 3 Fast - Detail Master The fastest model by Google; works well with detailed prompts and instructions. It's particularly strong with artistic styles and colors. 4. Ideogram - Typography Focus Need readable text in your images? Ideogram handles text better than most other models. 5. Leonardo Phoenix - Pure Creativity Great for creative styles and text. If you want artistic flair with readable text elements, Leonardo Phoenix delivers both. 6. Luma Photon - Balanced Choice Good balance of speed and quality. For those wanting realistic styles with vibrant colors (without sacrificing too much speed), Luma Photon delivers. 7. Recraft - Style Explorer Excels at stylized illustrations and artistic experimentation. A reliable go-to for pushing creative boundaries. — Takeaway — The biggest mistake with AI image generation is using one model for everything. After 1 billion images, here's what we’ve internalized: there are different models for different jobs. What we've learned over time is they can all work together; it doesn't need to be just one, all the time. The future isn't about finding the "best" AI model. It's about knowing which brush to pick up (something we plan to make even simpler in our product). At Gamma, we've built these into one platform because every creative deserves a complete toolkit. Now, you can focus on what matters most: Bringing your vision to life.

Create & Customize AI-Powered Character Illustrations (No Prompts Required!) Struggling to keep your AI-generated characters consistent? Let’s change that. Imagine this: +Your character in any pose, action, or expression. +Consistent design across every frame. +Real-time adjustments with total control. 💡 Introducing Consistent Character AI An AI design tool for creators who want to save time and focus on storytelling. Here’s how it works: 1️⃣ Upload or describe your character. Start from scratch or upload a reference image. 2️⃣ Customize intuitively. Control poses, actions, and expressions without any design expertise. 3️⃣ Let the AI handle the hard work. Focus on creativity while ensuring your characters stay consistent. No prompt engineering. No steep learning curve. Just results. Why It Matters: For years, creating consistent AI characters felt like an uphill battle. Clunky workflows. Inconsistent results. Endless frustration. With Consistent Character AI, you take control. Effortlessly. ✅ Perfect for: - Comic artists - Storyboard creators - Marketers needing visual assets Ready to get started? ➡️ Step 1: Upload your first image. ➡️ Step 2: Adjust your character’s pose and expression with intuitive controls. ➡️ Step 3: Watch your story come to life—seamlessly. Watch your stories come to life effortlessly. ✨ Your Turn: If you could create any character instantly, who would it be—and why? #aidesign #visualstorytelling #aitools

An actual B2B use case for AI image models. Iteration (not stealing) of brand illustrations. 👇 In our rebrand partnership w/ Rows.com, we created an ownable illustration style for their identity. Now, with AI, they can really maximize this brand asset. Rows is like wizardry; their branded illustrations express the magic and personality of the brand. It's an aspect of the identity they've managed well over the years. But, like anything unique, the creation can be very time-consuming. Stifling the opportunity to leverage the asset as often as they might like. A few months ago, in a LinkedIn post, Henrique Cruz shared that they now have the ability to speed up that creation by 95% with the new AI image model releases, leaving just the polish and tweaking to their team. I love seeing this win for our client. Personally, I don't see this use case as AI taking creative jobs. It's a clear example of a strategic creative team (Focus Lab) setting a direction. The client then leverages AI to produce drafts (self-serve + speed), and then the work returns to a human on their team to polish final versions. This feels like a fantastic example of an AI + Creative winning recipe. #branding #brandagency #b2bbranding  

Nanobanana 2 is out. And honestly… this is where AI image generation starts getting seriously useful, not just “cool”. Most image models could generate pretty pictures. But they struggled with: • text inside images • consistent characters • layouts • editing existing images • brand visuals Nanobanana 2 fixes a lot of that. Here’s what stands out 👇 1. Accurate text inside images Finally: logos, labels, posters, product packaging that actually spell things correctly. 2. Character consistency Create the same person or character across multiple images or scenes. 3. Style transfer Take the style of one image and apply it to another without breaking the layout. 4. Spatial reasoning Objects, diagrams, labels and elements appear in the correct place. 5. Real image editing Modify photos while preserving the subject and composition. 6. Multi-frame storytelling Generate visual sequences with the same characters and continuity. 7. Product visualization Create realistic product ads, mockups and marketing visuals. 8. Environment generation Change backgrounds or scenes while keeping the subject intact. 9. Complex scene understanding Better lighting relationships and layered scenes. What this unlocks 👇 • ad creatives in minutes • product mockups without photoshoots • visual storytelling • AI-generated marketing assets • brand visuals at scale • faster design experimentation We’re moving from “AI art” → to real production workflows. Designers won’t disappear. But the ones who learn AI-assisted design will move 10x faster. Have you tested Nanobanana 2 yet? 🔁 Repost if you want more breakdowns like this. ➕ Follow for practical AI insights. ___________________________________________ 👋 I’m Amit Rawal, an AI practitioner and educator. Outside of work, I’m building SuperchargeLife.ai , a global movement to make AI education accessible and human-centered. ♻️ Repost if you believe AI isn’t about replacing us… It’s about retraining us to think better. Opinions expressed are my own in a personal capacity and do not represent the views, policies, or positions of my employer (currently Google LLC) or its subsidiaries or affiliates.

How can artist and AI collaborate? 🎨🤖 I asked myself that question, in my mixed media piece, "Birds of a Feather." I leveraged Midjourney for the collage elements, physically printing them out, and creating my own original composition. As I worked, I would take a "progress" photo with my iPhone, and feed that image back into MidJourney as an input image to gain inspiration and new elements for the piece. It truly felt like a collaboration between machine (AI), and me, way more so than simply prompting alone. As artists, we should be asking ourselves: → How can we have more control over the process and end-result? → How can we inject our own personal style into the equation? → How can we invent our own unique workflows? → How can we transcend prompting? → How can we layer ON TOP of AI? Prompting alone is not enough to take ownership over an image. What else can you do, to make an image uniquely, "yours"? After the piece was done, I photographed it and brought it to life digitally by animating the layers in After Effects. Thoughts? What are some unique ways you're using AI, beyond the surface level? ____ #ai #artificialintelligence #midjourney

Most people use AI completely wrong. They open Canva or Photoshop AI and type something like: “Make me an image of a model dressed well standing next to a private jet.” And then they’re disappointed when it looks like garbage. Of course it does. You gave it a lazy prompt. You told it what to make, but not how to make it. Here’s how to do it properly: 1. Stop prompting image AIs directly. 2. Start prompting ChatGPT to write your image prompt for you. ChatGPT is your Director, the actual creative AIs (Midjourney, Canva, Photoshop) are the crew that executes it. If you skip the director, the crew just guesses. Here’s what most people type: “Make me an image of a model dressed well standing next to a private jet.” And here’s what you should feed the image generator: ___________ “Create a cinematic photo of a female model standing confidently beside a sleek white private jet on an airport tarmac at sunset. She’s wearing tailored beige trousers (#D8C3A5), a black blazer (#1C1C1C), and gold-rimmed sunglasses (#D4AF37). The jet’s surface reflects soft orange and rose tones from the setting sun (#F4A261, #E76F51). - Lighting: warm golden hour light with long shadows and a slight lens flare. - Camera angle: low, slightly off-center for a dramatic composition. - Depth of field: shallow — crisp focus on the model, softly blurred background. - Color palette: neutral base tones (beige #D8C3A5, gray #A8A8A8) with accents of gold #D4AF37 and sunset orange #F4A261. - Mood: confidence, understated luxury, quiet power.” ___________ That’s 1 prompt. It tells the AI: 1. What to make 2. How to frame it 3. What emotion to evoke 4. What colors, light, and tone to use AI doesn’t replace creativity — it amplifies it. It doesn't replace you doing a bit of work. You need to know how to direct the thing. So next time you open Canva, Photoshop, or Midjourney…stop saying, “Make me an image of…” Instead, say: “ChatGPT, write me a cinematic, photo-realistic prompt for Canva that captures this mood: [describe it]. Include camera angle, lighting, color palette (with hex codes), and emotional tone.” That’s how you stop getting generic AI results and start creating assets that look like they came out of a real production budget. The power isn’t in the tool. It’s in how you stack them.