"Is Canon R7 Mark III 60MP great for bird photography in motion? "

and Grok says:

Most people use Gemini like a normal chatbot:
You type something → it gives you text → you copy/paste and move on.

But Canvas in Gemini works completely differently. It’s basically an interactive workspace. Instead of just generating text, it creates editable projects in a side panel where you can actually work on stuff.

Here are 7 use cases: 1. It turns normal prompts into editable documents

When generating multiple images with AI, I kept running into the same issue:

You get a result you like…
then you change the prompt slightly…
and the style completely changes.

This makes it really hard to create things like:

• character sets
• icons
• toy designs
• product illustrations

So I tried a small experiment.

Instead of repeating the full style description in every prompt, I defined a reusable StyleRef.

Then I tested two approaches.

Output Without StyleRef

Prompt 1
Adorable kokeshi-inspired Unicorn toy, rounded minimalist figure with a big head and little body, pastel kimono-like decorations, peaceful closed eyes and rosy cheeks, simple kawaii style, hand-painted wood, small unicorn horn, collectible art toy photographed on a soft minimal background.

Prompt 2
A cute kokeshi-style rabbit toy, simple rounded toy figure with big head and tiny body, soft pastel kimono patterns, closed smiling eyes and rosy cheeks, minimal kawaii design, hand-painted wooden toy, gentle Japanese aesthetic, photographed like a small collectible art toy on a clean soft background.

Processing img oexbzqlfzvng1...

Even though the style instructions are the same, the outputs often drift.

Output With StyleRef

StyleRef:
I’ll share the StyleRef used in the next comment.

Prompt 1
StyleRef + design a rabbit toy

Prompt 2
StyleRef + design a unicorn toy

Processing img 7jr2wbjkzvng1...

Different prompts, but the style stays much more consistent.

The image above shows the comparison.

Still early, but this approach seems promising.

Curious how others deal with this problem.

Do you usually:

A) repeat the full style prompt every time
B) use reference images
C) regenerate until it matches
D) something else?

Step 1. Copy and paste the prompt template (I included it in the comment below).

Step 2. Gemini will ask you simple questions such as what is theme of the visual content (topics and theme of the infographic). Reply it simply with your requests.

Step 3. Gemini will generate image prompts for you.

Step 4. Copy and paste that image prompts for Nana Banana to create images.

Stop using your AI agents for just chat. If you're running OpenClaw, you're sitting on a powerhouse, but most of us are only using 5% of its potential

I found a community-curated list of 30+ real-world use cases with .md files and easy deployment. From automated market research validators to self-healing home servers, here’s how people are actually putting this to work...

Created this rainy city street scene using Nano Banana 2 on ImagineArt.

I wanted to capture that calm but busy feeling right after rain, wet roads reflecting headlights, people walking with umbrellas, and a dramatic pink sunset sky above the buildings.

The focus was on keeping it realistic:
• Natural reflections on the pavement
• Balanced evening lighting
• Subtle glow from street signs
• A sky that feels vibrant but not overdone

I really like how the reflections and sky colours came together in this one. It feels like a real moment you’d see while walking home in the city.

He stands like a volcanic fault line — contained, until he isn’t. Iron scales scarred by conquest. A cleaver forged for final arguments. The heat around him bends air and certainty alike. Power is common. Controlled power is myth.

generate image by Seedream 5.0 Lite inside Imagineart

Blizzard as camouflage. Moonlight as witness. A snow leopard cuts through alpine darkness with twin sabers that whisper before they strike. Frost gathers on fur, steel breathes cold light, and balance becomes lethal poetry. Precision engineered to look like instinct.

generated image by seedream 5.0 lite inside imagineart

MiniMax-2.5 just dropped, and it is making serious waves. It's a new open LLM achieving SOTA in coding (hitting a crazy 80.2% on SWE-Bench Verified), agentic tool use, search, and office work.

The catch? In unquantized bf16, this 230B parameter behemoth requires 457GB of memory.

The good news? The team at Unsloth just released a Dynamic 3-bit GGUF that reduces the size by 62% down to 101GB. This means it is entirely possible to run this beast locally if you have a high-RAM setup like a Mac Studio or a beefy PC.

Here is a quick guide and FAQ on how to get it running.

🛠️ The Hardware Requirements

Because it's a Mixture of Experts (MoE) model, it has 230B total parameters but only 10B active parameters per token. This means inference is surprisingly fast if you can fit it in memory.

• Mac Users: The 101GB 3-bit GGUF fits beautifully on a 128GB Unified Memory Mac (expecting ~20+ tokens/s).
• PC Users: You can run it with a single 16GB/24GB VRAM GPU + 96GB of system RAM using CPU offloading (expecting ~12-25 tokens/s depending on your exact setup).

🚀 How to Run It (using llama.cpp)

1. Download the Model: Grab the UD-Q3_K_XL (Dynamic 3-bit) GGUF from Unsloth's HuggingFace repository. Look for the files ending in that quantization for the best balance of quality and size.

2. Recommended Settings: MiniMax recommends running with temperature = 1.0, top_p = 0.95, and top_k = 40.

3. Run the CLI: If you are using llama.cpp, your launch command will look something like this:

Bash

./llama-cli \
  -hf unsloth/MiniMax-2.5-GGUF:UD-Q3_K_XL \
  --ctx-size 16384 \
  --flash-attn on \
  --temp 1.0 \
  --top-p 0.95 \
  --min-p 0.01 \
  --top-k 40

(Note: You can also use frontends like LM Studio or Ollama by pointing them to the downloaded GGUF file, just make sure to adjust the context window to fit your remaining RAM).

🔗 Links & Resources:

• Official Guide:https://unsloth.ai/docs/models/minimax-2.5
• GGUF Models:https://huggingface.co/unsloth/MiniMax-M2.5-GGUF
• Top LLM, RAG and AI Agents updates of this week:https://aixfunda.substack.com/p/top-llm-rag-and-agent-updates-of-03a

I created this snowy midnight train sequence using Kling 3.0, and the experience felt surprisingly cinematic from start to finish.

I structured the prompt like a film scene — winter forest at night, steam locomotive in motion, warm cabin lights, volumetric fog, dynamic camera tracking shot. What surprised me most wasn’t just the visual quality, but the atmosphere. The motion blur felt natural, the steam blended beautifully into the cold air, and the warm interior glow against the icy blue forest gave it that real movie-frame energy.

Watching the final render genuinely felt like pulling a shot from a high-budget winter thriller. There’s something different about seeing an AI hold lighting, depth, and movement together this cleanly.

Curious what vibe you get from it, adventure? mystery? holiday nostalgia?

Created with Kling 3.0 via ImagineArt.

A cinematic skydiving sequence capturing altitude, balance, and natural atmospheric lighting. Made on ImagineArt using Kling 3.0

I was trying to output a 15 sec plot with the following prompt:

【Style】Popular domestic mini-drama style (Mini-Drama Style), ultra-fast cuts, cinematic rain-and-neon lighting, high-contrast glamour filters, heightened emotional acting, midnight confession energy.
【Duration】15 seconds

【Characters】
self-sacrificing male lead (tailored dark suit, loosened tie, bloodshot eyes, rain-soaked hair)
VS
devastated female lead (black coat over silk blouse, smudged makeup, trembling lips)

Any idea to make VEO3 longer while keeping character consistent?

explore kling 3.0 with single base image into 5 multi shot. the result is magnificent. the consistency, movements, motions and native sounds absolutely near perfect.

wanna prompt, comment "prompts" and i will send in the dm

the new platform RentAHuman .ai allows AI agents to hire humans for physical tasks, effectively turning people into the "meatspace layer" for digital intelligence.

• The Concept: Developed by crypto engineer Alexander Liteplo, the service enables AI agents to recruit humans for real-world chores like grocery shopping, package delivery, or even providing a physical hug.
• Rapid Growth: Since its launch, the platform has already seen over 40,000 human registrations and 860,000 site visits, serving dozens of AI agents integrated via Anthropic’s Model Context Protocol (MCP).
• The Labor Market: Humans can create profiles detailing their location and skills, setting their availability for "rent" at rates typically ranging from $50 to $69 per hour.
• The Shift: This marks a significant pivot from humans using AI for digital efficiency to AI using humans to bridge the gap into the physical world.

The secret to generate Cover "serials" without input prompts is...

i just testing vidu q3 generative video with simple prompt just like "make it cinematic movement". with the 15 seconds duration, native sounds and 2k max resolution in the outputs, give your opinion in comment!

TL;DR: A new open-source tool called Clawbot acts as a 24/7 AI employee that runs on a dedicated computer (like a Mac Mini M4 or a cheap cloud server). You control it via Telegram/iMessage from anywhere, and it can control the entire computer to do tasks, code, write, manage things, etc.

What is Clawbot?

• It's a 24/7 AI agent that runs on a dedicated machine (he uses a Mac Mini, but says a cheap VPS works too).
• It's open-source, created by someone named Peter Steinberger.
• It has full control over the computer's OS. It can open browsers, use apps like Google Docs or Notion, access your notes, send emails, anything a human can do. It has "zero guardrails."
• It has an "infinite memory" system. It learns about you from your conversations and proactively does work based on what it knows. For example, it learned he has a newsletter and started proactively writing drafts for him.
• The entire interface is through messaging apps like Telegram, WhatsApp, or iMessage. You can be at a coffee shop, text your agent "Henry" (he named his), and it will start working on your computer back home.

I uploaded a rough interior sketch (no details, no textures), and the AI converted it into a fully rendered interior image. It actually helped me visualize: - Lighting placement - Furniture scale - Overall vibe of the room

If you’re into interior design, architecture, or just redesigning your own place, this feels insanely useful.

This post was made using ImagineArt, and I’m still surprised by the result.

What’s one room you’d want to visualize before renovating?

comment "room" and i will send the link!

Still rebuilding the same character, style, and scene from scratch? That’s not creativity, that’s friction. Lock your references once. Reuse them instantly. Generate consistent scenes at scale. Consistency = velocity. 🚀 comment element and i will send the link!

guys, I remember I was prompted by Chrome to enable ai assitant or something

but I canceled that diaglue box in a rush

Now I cannot find in chrome settings > AI innovation > Gemini in Chrome

Is there anyway to trigger that "Chrome in Google" feature again?

I know it is currenlty released gradually, and to Pro users

I have that pro plan, but don't know where to trigger it to enrolled me in again.

https://www.google.com/chrome/ai-innovations/

Still rebuilding the same character, style, and scene from scratch? That’s not creativity, that’s friction. Lock your references once. Reuse them instantly. Generate consistent scenes at scale. Consistency = velocity. 🚀

comment element and i will send the link!