Tia

[MiniMax (official) @MiniMax_AI]

messy, multimodal, too large for a normal chat? M3 handles it 🫡 @happycapyai

[Tia @Tiange022]

@happycapyai @MiniMax_AI Exciting Moment!
MiniMax M3!

[Tia @Tiange022]

MiniMax M3 正式发布：1M 上下文、原生多模态、强化 Coding 与 Agent 能力。

现在，https://t.co/tdYFOwELtZ 也已收录 MiniMax M3，让你可以更快把新模型用到真实工作流里：写代码、跑任务、处理长文档、搭建 AI Agent。

新模型，新工作���式。
👉 📷https://t.co/NQKV1bfCL4
#MiniMax #MiniMaxM3 #AI #AIAgent #HappyCapy

[MiniMax (official) @MiniMax_AI]

Introducing MiniMax M3: The First Open-Weights Model to Combine Three Frontier Capabilities

- Coding & Agentic Frontier: 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, 34.8% SWE-fficiency, 28.8% KernelBench Hard, 74.2% MCP Atlas
- MiniMax Sparse Attention scales context to 1M
- Natively Multimodal from Step Zero

API: https://t.co/fHRdSV7BwZ
Token Plan: https://t.co/BDCycxepZw
🚀New! MiniMax Code: https://t.co/GvB4YiB6Ul

Weights & Tech Report in ~10 Days

[Tia @Tiange022]

I got tired of staring at a blank prompt box.

So we built an AI image generator with 125+ curated prompts you can click and remix: product photos, portraits, posters, fashion, cinematic shots, game UI, app mockups, and more.

Try it:
https://t.co/92VOZjldKA

[Tia @Tiange022]

YouMind quoted my post on GPT-Image-2.
What really stands out to me is the 3D cityscape control: layered landmarks, physical map textures, night lighting, and consistent architectural-diorama language across cities.
This feels less like “AI image generation” and more like directing miniature urban worlds.

[Tia @Tiange022]

GPT-Image-2 just changed the game for visual creators. 🗺️

Generated these insane "Landscape Archive Model" series — NYC, London, Paris, Tokyo at night — each one looks like a physical museum diorama pulled straight from an architectural archive.

What blew me away:

→ Prompt-follows with surgical precision — every landmark, every annotation system, every material texture lands exactly where you asked → Handles ultra-complex multi-layer scenes (3D model + flat map + legend system + lighting) without falling apart → Consistent series output — same visual language across 4 cities, zero manual tweaking → Physical texture realism — paper grain, cast shadows, matte model surfaces feel touchable → Night palette control is chef's kiss — warm amber vs cool blue vs navy water, all restrained and intentional

This isn't just "generate a pretty picture." It's structured creative direction executed at production quality.

The era of one-shot, series-ready editorial visuals is here.

#GPTImage2 #AIArt #PromptEngineering #UrbanDesign #LandscapeArchive

[Tia @Tiange022]

playing with gpt-image-2 today → got this little pink starfish squad. 4 poses, soft vinyl, zero prompts wasted.

[Yves Yang @SelfBystander]

做了一个 AI Agent 专用的 CLI 工具导航。

Agent 能用终端执行命令，但哪些工具真的支持？

整理了 95 个——只收非交互式、可脚本化、能连真实服务的。

飞书 CLI — Agent 直接收发消息、管文档、建会议

Android CLI — Google 官方，Agent 跑模拟器、部署 APK、截图

Notion / GitHub / Vercel / Supabase…… 每个工具有安装命令、真实示例，还有可以直接粘给 Claude Code 用的提示词。

[Tia @Tiange022]

@fMinZhou wow Amazing!

[Min Zhou @fMinZhou]

Super fun html voxel world builder powered by Three.js. Different terrains, structures, flora, and more can be freely placed on a grid. Also used happycapy to add Godzilla and capybaras into the world🦖

feels like there’s more to explore, like seasons and day/night cycles. Still experimenting with it. GitHub + Happycapy remix link in 🧵

[Tia @Tiange022]

@happycapyai cccute!

[Tia @Tiange022]

GPT-Image-2 just changed the game for visual creators. 🗺️

Generated these insane "Landscape Archive Model" series — NYC, London, Paris, Tokyo at night — each one looks like a physical museum diorama pulled straight from an architectural archive.

What blew me away:

→ Prompt-follows with surgical precision — every landmark, every annotation system, every material texture lands exactly where you asked → Handles ultra-complex multi-layer scenes (3D model + flat map + legend system + lighting) without falling apart → Consistent series output — same visual language across 4 cities, zero manual tweaking → Physical texture realism — paper grain, cast shadows, matte model surfaces feel touchable → Night palette control is chef's kiss — warm amber vs cool blue vs navy water, all restrained and intentional

This isn't just "generate a pretty picture." It's structured creative direction executed at production quality.

The era of one-shot, series-ready editorial visuals is here.

#GPTImage2 #AIArt #PromptEngineering #UrbanDesign #LandscapeArchive

[Tia @Tiange022]

Seedance 2.0 video prompt:
Cinematic 12-beat sequence following the provided storyboard panel order exactly as sequential keyframes — each panel = a separate cinematic shot beat, fast multi-cut rhythm, camera movement and shot framing matching the storyboard.

SUBJECT:
A tiny forest spirit BOY, around 6-7 years old, ethereal and full of ene (lively otherworldly vitality), with tousled silver-white moonlight hair, delicate pointed ears, bright glowing curious eyes, INNOCENT and gentle expression, wearing a layered robe of woven leaves moss bark and tiny petals, barefoot, identity matched to the character reference image — preserved exactly throughout. Light, agile, springy movements full of life and youthful energy.

ENVIRONMENT:
Dead nighttime forest with bare twisted trees, thick fog, moonlight beams piercing the canopy, deep shadows.

ACTION:
The spirit boy performs a powerful but GRACEFUL contemporary dance — flowing turns, confident stomps, soft drops, fluid coils, lunges, joyful spins, sweeping hand gestures, light leaping kicks. Movement is energetic and committed but NEVER aggressive — channeling pure life force, awakening, and quiet wonder. Loose hair flies, robe whips with motion.

TRANSFORMATION:
As he dances, the dead forest rapidly comes alive — green grass bursts up under each impact, white and pink wildflowers bloom along his motion paths, glowing vines spiral up tree trunks, fresh leaves return to bare branches; restoration spreads progressively, culminating in a fully restored lush luminous forest at the final beat.

PERFORMANCE ARC:
Opens softly — quiet, contemplative, breath held in wonder. Builds into bright open-hearted joy and awe during the dance climax — eyes wide with discovery, lips slightly parted in soft amazement. Ends in serene peace and gentle smile after the forest is restored — a long releasing breath, eyes closing softly.

FACIAL EXPRESSION (CRITICAL):
Keep the face GENTLE, INNOCENT, CALM and FOCUSED at all times. Soft eyes, never glaring. Lips relaxed, never clenched. Brow neutral or slightly lifted in wonder, NEVER furrowed in anger. The boy looks awe-struck, peaceful, and present — like a child discovering magic. NO fierce, ferocious, angry, snarling, glaring, or aggressive expressions. NO clenched jaw, NO bared teeth, NO scowl.

LIGHTING:
Cool blue moonlight, volumetric god rays through fog, deep shadows; warm bioluminescent green glow rises from blooming plants as transformation progresses, gold sparkles floating around him in the climax.

AUDIO:
Low ritual ambience, distant forest rumble, soft wind, breath-like whispers, wordless humming, layered female whisper-chant — barely audible airy whispers of breathe / bloom / rise / remember interwoven with hushed exhales; faint child-like wonder breaths, no clear singing voice, no dialogue.

TONE:
Dark magical realism with bright innocent wonder, luminous and full of energy, dark fantasy with hope and tenderness.

NEGATIVE:
Do NOT make him look fierce, angry, ferocious, intimidating, snarling, or aggressive. Do not add extra characters, stick figures, mannequins, dialogue, clear singing, subtitles, captions, text, arrows, UI overlays, watermarks, logos, or any event not implied by the storyboard. Do not depict the character as a girl or adult.

[Tia @Tiange022]

GPT Image 2 + Seedance 2.0 Prompt Share Forest Rebirth — A small forest spirit boy dances a dead forest back to life.

Created on @happycapyai · Huge thanks to @aimikoda

Prompts ⤵️

[Tia @Tiange022]

GPT Image 2 storyboard prompt:
Create a professional cinematic previs storyboard sheet.

PROJECT: Forest Rebirth
SEQUENCE: Aggressive Contemporary Dance
DURATION: 15 seconds
PANELS: 12
GRID: 3x4
ASPECT RATIO: 16:9
TONE: intense, aggressive, dark magical fantasy
PACING: fast-paced multiple-cut rhythm

SUBJECT:
A tiny forest spirit dancer shown as a simple stick-figure / wireframe previs mannequin.

ENVIRONMENT:
A dead nighttime forest with bare trees, fog and moonlight.

ACTION:
The spirit performs an aggressive contemporary dance with sharp turns, stomps, drops, lunges, spins and explosive gestures.

TRANSFORMATION:
As the dance intensifies, the dead forest rapidly comes alive. Grass grows under impacts, flowers bloom along motion paths, vines climb trunks and leaves return to branches.

LAYOUT:
Clean storyboard sheet with readable professional font.
Header at top, panel grid in center, single footer legend at bottom.
12 equal panels in a 3x4 layout.
Thin black borders, white or soft off-white background.
Panel numbers must stay outside the panels.
Panel captions must stay outside the panels.
No large text inside the image panels.

STYLE:
Extremely low-detail previs thumbnails.
Stick-figure / wireframe mannequin character.
Very simple forest shapes.
Minimal shading.
Prioritize framing, camera logic, blocking and motion clarity.
Not polished illustration, not concept art, not comic art.

TECHNICAL MARKS:
Use clean colored arrows inside panels only.
Red = camera movement
Blue = subject motion
Yellow = light direction
Green = environmental force / nature growth
Use a maximum of 2 arrows per panel.
Do not explain arrow colors under each panel.
Show the arrow legend only once in the footer.

CINEMATIC RULES:
Fast multiple-cut rhythm.
Each panel must feel like a distinct cinematic shot.
Use strong shot variety and professional framing.
Shot grammar is more important than visual detail.
The model should decide the shot-by-shot panel content automatically.
Distribute the sequence from eerie entrance to violent dance climax to final transformed forest image.

PANEL GENERATION RULE:
Do not wait for exact beat-by-beat instructions.
Generate the full panel sequence automatically based on the subject, action, pacing and transformation.

FOOTER:
Add one small legend box only once:
RED Camera / BLUE Motion / YELLOW Light / GREEN Environment

NEGATIVE:
Detailed rendering, polished illustration, repeated legend under panels, text inside panels, crowded annotations, excessive detail, comic style, watermark, logo, signature.

[Tia @Tiange022]

Project created by @happycapyai

[Tia @Tiange022]

Open-sourced vast-pow-miner: rent a GPU on https://t.co/ajZkBpNm6e,
mine any keccak256 PoW ERC-20 with one command.

1. Profile-based — HASH256 built-in; drop any contract address and https://t.co/bpQ424qx8m auto-generates the profile
2. Real-time P&L with DexScreener price + on-chain gas
3. Auto-stop on net loss or token crash
4. Bilingual idiot-proof quickstart

Honest README: HASH256 currently loses ~$5/day on a 5090.
Code's value is stopping the bleed fast — flips green the
moment the token 3x's.

Github: https://t.co/VJDzqvIgze
Referral: https://t.co/11GZTCs8T5

#GPU #mining #crypto

[Tia @Tiange022]

@SelfBystander Legal AI is starting to move from “chatbot for lawyers” to workflow infrastructure. This is probably the right direction.

[Tia @Tiange022]

Made a capybara-themed focus app concept with Happycapy.

One prompt generated the UI mockups, character design, banners, and shareable files. Super useful for turning product ideas into visual assets fast.

https://t.co/dkuCWbnP2M

[Tia @Tiange022]

@Winter126126 @servasyy_ai upup

[Tia @Tiange022]

Just replicated this stunning project👇

Huge thanks to @servasyy_ai for the inspiration

Cell Architecture Studio, rebuilt with GPT Image 2 + image-to-3D.