Everyone expected the next big leap in AI to be smarter chat models… instead it was image editing Nano Banana blew up because it solved the one thing every creator struggled with: clean, controlled edits without breaking the image It can: - swap objects without distortion - fix colours without ruining lighting - keep faces consistent - edit clothes, backgrounds and details perfectly No re-generating. No losing the original. No weird hands It made visual creation accessible, even for people with zero design skills—so naturally millions adopted it in weeks. In your opinion… is Nano Banana just the start, or will editing become the main use of AI for most people?

Here’s the new ultra-realistic skin test using MidJourney V7. This one was built with Profile 5mwblry and Profile 5aj4dnk, both stacked to push texture accuracy and golden-tone lighting. Prompt : "Editorial style portrait of a woman of color, medium shot, focus on her face. Elegant composition, soft golden natural light, glowing realistic skin with visible pores and fine texture, subtle facial lines and highlights. Warm tones, natural expression. Photographed in the style of Petra Collins raw, intimate aesthetic, gentle shadow play, minimalism, soft pastel tones, low contrast, fine film grain, natural color grading. Light, airy background, calm and refined atmosphere, hyper-realistic, high resolution. --raw --profile 5mwblry 5aj4dnk --stylize 500" The prompt focused on keeping everything raw and intimate: glowing realistic skin, visible pores, clean texture, fine highlights, gentle shadow play, soft natural tones and subtle film grain These two profiles together created the exact cinematic skin realism we want inside AI Visual Lab — no plastic shine, no over-smoothing, just high-end editorial detail with natural depth. If you want to break down how these profiles affect tone, texture and lighting, comment below and I’ll show the workflow step by step

Any other caregivers here? This is a big commitment for so many of us and a regular part of our daily lives. Caregiving has run quietly alongside my professional life for most of my adulthood. At age 19 I became a caregiver for my mom while serving in the U.S. Navy, and I carried that role for 28 years alongside full time work, raising a family, and managing long term medical needs across changing stages of care. The mental load has never turned off. I track, plan, anticipate, and make decisions constantly, often without visibility or support. I’m so grateful for the AI tools we have now! I wish they were available back when I REALLY needed them. That experience shapes how I think about everyday cognitive support. I look past productivity hacks and focus on practical ways of reducing friction and mental overhead. My life in a 7 person multigenerational household is complex and emotionally loaded. My household ranges in age from 5 years old to 92 years old. I’m interested in what tools, systems, or approaches other caregivers find genuinely helpful while balancing caregiving with their work and daily responsibilities, even just small things that make life feel more manageable. I’m right here in the trenches with you, Sandwich Generation friends. Hugs.

I was so inspired by zack I went on and created a antitheft / Fraud model that I believe is possible , not 100 % yet close. I'd love someone techy to critique and expand with me .

The new ChatGPT Images update just landed, and it’s a clear reminder: we’re in a new era of AI imaging. If you want the most photorealistic, believable, pro-ready visuals in 2025, here’s the current landscape — and which tools are strongest for real work, not just cool hobby outputs. 🔗 OpenAI just announced updated image capabilities: https://openai.com/index/new-chatgpt-images-is-here/ 🥇 1) ChatGPT Images (GPT Image 1.5+) Strengths: • Very strong at understanding complex prompts • Excellent multi-modal capability (text + visuals) • Great for consistent character direction and scene adjustments • Superb at compositional reasoning Best use cases: • Concept visuals from text alone • Image editing with context • Storyboarding and descriptive creative work Why it matters: GPT Image thinks about visuals with context — not just style replication. This gives it realism that actually makes sense to a human viewer. 🥈 2) Nano Banana Pro Strengths: • Exceptional photo-realism • Stable, consistent character and object generation • Strong lighting and texture handling • Minimal plastic/CGI feel Best use cases: • Portraits and people • Fashion campaigns • Product visuals • Instagram/brand imagery Nano Banana often produces the most believable individual frames — particularly for people, faces and real-world textures. 🥉 3) Seedream 4.5 Strengths: • Very good at detailed backgrounds • Strong compositing and layered edits • Works well with mixed reference concepts Best use cases: • Environment-rich scenes • Complex edits with multiple subjects • Composite storytelling visuals While not always as “pure photoreal” as Nano Banana, Seedream shines when you want scene and mood integration. ⚙️ Honorable Mentions MidJourney (latest models) • Beautiful stylized results • Great for artistic direction, less so for strict realism Stable Diffusion (custom pipelines) • Highly tweakable • Great for fine control over identity/style consistency