Google Vertex Gemini API hits 90T+ monthly tokens – 11× YoY retail surge

Vintage portrait prompt kit: Azed’s “vintage editorial photography” recipe is framed as a general-purpose cinematic portrait base—soft ambient lighting, warm earthy tones, gentle film grain, shallow depth of field, and 1970s wardrobe cues—shared as a copy/paste prompt scaffold in the prompt share.

The attached ATL set demonstrates how the same recipe holds across different settings (garden fence, theater seats, hallway, school lockers), as shown in the prompt share.

Kling 2.6 prompt kit: Azed shared a time-boxed “intimate cinematic realism” recipe for an 8-second close-up in a dim hospital hallway—explicit camera movement, facial micro-actions, and a detailed non-dialogue sound bed spec—formatted as a reusable motion prompt in the prompt share.

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The attached clip demonstrates the intended pacing and framing for the “relief exhale” beat, which makes the prompt useful as a repeatable emotional insert shot in longer edits, as shown in prompt share.

Midjourney (Style references): Artedeingenio shared a “Golden Age Cartoon Style” reference ID—sref 1400015397—positioned around 1940s–50s American animation influences (Fleischer, Terrytoons, MGM) in the style reference drop.

The sample set shows consistent period cues (bold facial shapes, simplified shading, vintage palette), giving creators a concrete sref starting point for character-driven frames, as shown in style reference drop.

Nano Banana Pro (Gemini): IqraSaifiii posted a highly parameterized 2×2 studio photo-collage prompt (high-key white seamless, glossy black reflective floor, consistent outfit/accessories, pose-by-panel breakdown, lens/aperture/ISO) in the 2×2 collage prompt.

The result shows the intended “same subject, same styling, varied poses” consistency across panels (with black balloon props used as anchors), as shown in 2×2 collage prompt.

Movie-poster prompt kit: Techhalla posted a structured “art director” directive for high-end vertical movie posters, with explicit variables for title/creator/style/palette plus conditional reference-image handling, typography rules, and “billing block” realism in the template prompt.

The examples (“Caracas Red,” “Valhalla’s Wrath,” “Concrete Kings”) show how the same template yields distinct genre looks while keeping consistent poster layout conventions, as shown in template prompt and revisited in choose a concept poll.

Midjourney (Style references): Azed shared a newly created Midjourney style reference—sref 4980229942—via multiple examples that lean mid-century modern with heavy texture and simplified forms in the style reference post.

The samples span animals, portraits, couples, and motion scenes, which helps map the style’s range before you lock it into a broader series, as shown in style reference post.

3D paper-quilling style prompt: IqraSaifiii shared a detailed “paper filigree” samurai recipe—rolled strips, layered relief, macro lens spec, and motion ribbons represented as paper coils—aimed at a tactile handcrafted look in the paper-quilling prompt.

The output matches the material constraints (matte paper grain, stacked shadows, coiled armor plates) and reads like a physical craft render, as shown in paper-quilling prompt.

Digital scrapbook prompt kit: IqraSaifiii shared a “fan-edit collage” recipe built around multiple cutouts of the same subject with thick sticker outlines, newspaper texture, and layered sticker typography (including ransom-note blocks) in the scrapbook prompt.

The sample output demonstrates how the layout prompt drives both composition (overlapping layers) and graphics (daisies, teddy bear sticker, text blocks), as shown in scrapbook prompt.

3×3 pose-map prompt kit: IqraSaifiii posted a full 9-panel grid recipe for a monochrome “90s grunge / K-pop comeback teaser,” including per-panel facial expressions/gestures, hard-flash lighting cues, and a text overlay spec in the 3×3 prompt.

The attached grid shows the prompt’s intent—consistent styling with aggressive pose variation and heavy grain—landing cleanly across all nine panels, as shown in 3×3 prompt.

Split-screen storyboard prompt: Techhalla shared a tightly specified 2×2 broadcast-style grid prompt depicting a denied handball penalty sequence (incident, ref gesture, player protest, VAR verdict), meant to generate a complete mini-narrative in one image per the prompt text.

The posted output mirrors the requested panel logic (“VAR CHECK COMPLETE: NO PENALTY”), which makes it easy to reuse the structure for other match moments, as shown in prompt text.

Claude (Anthropic): A repost claims you can use Claude as an orchestration layer for long-form video generation—starting from a single text prompt and having the system “direct” the process—per the orchestration repost.

There’s no attached demo or spec in the tweet itself, but it’s a clear signal that “director-agent” framing is spreading beyond code tasks into multi-shot video workflows.

Grok Imagine (xAI): Creators are stress-testing a new “funky dance template” that auto-animates a single still into a short dance video, with the same template reportedly working on non-human subjects like a cat, as shown in the template test clip.

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The same template is also being used for a “serious suit photo → unexpected dance” gag, suggesting the motion prior is strong enough to carry without additional prompting, per the photo-to-dance example.

Flow by Google (Google): A re-shared claim positions Flow as a practical hub for short animation, with a specific stack cited as “Nano Banana Pro + Veo 3.1 inside Flow,” according to the pipeline repost.

No runtime details (length limits, cost, presets) are included in the tweet, so this reads as an emerging “default stack” mention rather than a concrete product update.

Kling 2.6 Motion Control (Kling AI): Community reposts are amplifying claims that Kling VIDEO 2.6 can “copy any action” with “perfect lip-sync” and more realistic motion imitation, per the Spanish capability repost.

• Motion template library: Another repost describes generating from Kling’s official motion-library templates and having the motion track well across different characters/styles, per the motion library repost.

These are qualitative claims in reposts (not a changelog), so specifics like failure modes, constraints, and side-by-side baselines aren’t evidenced in the tweets.

Grok Imagine (xAI): One creator describes a repeatable mini-trailer pipeline: generate stylized stills with Niji 7, animate beats with Grok Imagine, then assemble the cut in CapCut, as described alongside a finished trailer in the workflow note.

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A follow-up post frames the same setup as a general-purpose “make beautiful things” loop with Grok Imagine, reinforcing that the value is in fast style-to-motion iteration rather than a single one-off clip, according to the follow-up clip.

Sora 2 (OpenAI): A short “SCP-1981” clip is being shared as a horror/glitch stress test, leaning on abrupt visual corruption and cuts as the core effect, per the Sora 2 clip.

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It’s a useful reference for creators because it spotlights where deliberate degradation can read as style rather than artifact—while also making it harder to infer model stability from the output alone.

Kling (Kling AI): A new sizzle clip is being circulated from the official account, showing quick style jumps (realistic cat → stylized 3D → neon city) with repeated “KLING” branding, as shown in the sizzle clip.

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It’s mostly a capability montage rather than a spec drop—no settings, tiers, or model deltas are stated in the post itself.

Claude (Anthropic): A concrete “agents built me software” example circulated as a local MRI Viewer web app—framed as “if you need software, AI helps you build it yourself,” with Claude called out explicitly in the builder take.

The screenshot shows a full browser UI on localhost:8080 with study/series navigation, per-slice controls, and metadata (e.g., “Study Date Nov 26, 2025”), which is the kind of domain-specific tooling creatives and small teams often don’t staff for.

Net-new detail is thin (no repo, prompt, or build steps were shared), but it’s a clean artifact that the “agent-made internal tools” pattern is showing up as a finished interface, not a toy demo.

Agent-assisted building: The “AI agents code for me” framing keeps getting reinforced socially, this time via a bell-curve meme that positions agent use as both the naïve default and the pragmatic end-state, while the middle argues it’s harmful—see the bell curve meme.

For workflow folks, it’s a small but real signal: “agents write the software” is increasingly described as a baseline behavior rather than a niche power-user trick, even when the surrounding discourse is still polarized.

Higgsfield Relight (Higgsfield): Higgsfield introduced Relight, an image relighting tool framed as “forget lighting setup,” with single-click controls for light position, color temperature, and brightness, according to the launch post in Relight announcement.

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For creatives, this reads like a fast “lighting pass” after the fact—moving the key light around and rebalancing mood without re-shooting or re-rendering, as the slider-based UI shows in Relight announcement. The post also pairs the release with promotional pricing (“up to 70% off”) in the same Relight announcement, but there’s no spec on supported inputs/outputs (single image vs sequences) in the tweets.

Midjourney V8 (Midjourney): A January rumor post claims V8 could drop this month alongside a “major workflow + UI redesign,” with expected gains in prompt understanding/coherence, more reliable text rendering, and stronger reference/OREF behavior, as listed in V8 expectations.

The same thread also flags a practical constraint: server capacity, with the suggestion that early rollout may have tighter limits (slower gens and tier-based constraints) until new clusters/optimizations land, per V8 expectations. None of this is confirmed in the tweets; it’s positioned as informed speculation rather than release notes.

Midjourney Style Creator (Midjourney): A creator previewed a newly made Style Creator look described as retro-futuristic industrial sci‑fi, with explicit visual touchstones (Alien, Blade Runner, Outland, Space: 1999, Moebius) noted in Style description.

The samples emphasize dense industrial detailing and cinematic “worldbuilding” composition, consistent across multiple scenes in Style description. The post says the style will be shared with subscribers “tomorrow,” so the exact style token or share method isn’t included in today’s tweets.

Seedream 4.5 (BytePlus/ByteDance): BytePlusGlobal posted a Golden Globes-themed “goodie bag” creative explicitly labeled “powered by Seedream 4.5,” tying the model brand to a luxury flat-lay advertising look in Seedream branding post.

The caption frames the (non-technical) hook as nearly “US$1M worth” of travel/wellness items, while the on-image art direction calls out a “Vogue style flat-lay” with quiet-luxury lighting and composition, as shown in Seedream branding post. There are no accompanying details on model access (API/app) or what part of the creative pipeline Seedream handled beyond the branding callout in Seedream branding post.

Upscaling (Topaz Labs): A new “Threshold” micro‑film workflow finishes with Topaz Upscale after generating visuals with Freepik Variations and animating shots in Kling, with the full pipeline credited in the Threshold pipeline note.

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• Flow-state finishing: The creator frames Variations as speeding iteration so attention shifts to story and final polish, with Topaz handling the resolution bump per the Threshold pipeline note.

Color grade (Adobe Lightroom): A compact finishing recipe shows Lightroom used as the last pass after an image is generated in Midjourney and assembled into an image grid with Nano Banana Pro, as described in the DRIFTING AWAY pipeline.

Skin enhancement (Magnific AI): Following up on portrait upscale (skin enhancer as a portrait finisher), creators keep pairing Midjourney Niji 7 outputs with Magnific Skin Enhancer as a last-mile realism/texture pass, as shown in the Niji 7 + Magnific note.

Post-production framing: A reposted line captures a shift in how creators talk about finishing—moving from “editing footage” to “editing reality” (prompt → scene → world), as stated in the editing reality quote.

Legend of Zelda fan trailer (Kling community): A widely shared claim says a Zelda movie-style trailer was produced in 5 days on a $300 budget, amplified via a Kling account retweet in the budget claim RT.

No clip or production breakdown is included in the retweet content shown here, so tool attribution and workflow specifics aren’t verifiable from today’s tweet alone.

“Pokémon Live Action” (fan trailer): A live-action-style Pokémon trailer clip is making the rounds as a short-form proof point for AI-assisted trailer aesthetics, shared via a retweet in the fan trailer share.

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“Spirited Away” live-action fan trailer (community share): A repost frames an AI-assisted “Spirited Away” live-action recreation as an example that “is not AI slop,” with the original claim saying it was made in a few days for under $500, as relayed in the repost claim.

The retweet as shown doesn’t include the trailer video or a tool list, so the budget and pipeline can’t be independently checked from this tweet snapshot.

“Threshold” (WordTrafficker): A finished micro film release lands with a stated pipeline of Freepik Variations for iterating shots, Kling for video generation, and Topaz Labs for upscale, with the full stack credited in the release notes and the standalone post in the micro film link.

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• Iteration angle: The creator frames Variations as what made it easy to stay in “a flow state” while executing story beats, according to the release notes.

InVideo (InVideo): A Kodak spec ad is being circulated as a “no set” production—described as created entirely inside InVideo from a well-crafted prompt in the creator recap, echoing InVideo’s own showcasing of the spot in the brand RT.

The posts are promotional in tone; there are no behind-the-scenes settings or shot list details included in these tweets.

Portrait Prompt (Bri Guy AI): Issue 36 of the weekly prompt zine for AI artists is out now, positioned as a fresh batch of portrait-focused recipes and references for image makers, as announced in the Issue 36 announcement.

Character micro-clip (Artedeingenio): A short, dialogue-style character beat—“demonic king delivers a chilling message”—gets shared as a finished snippet, emphasizing close-up facial performance and mood, as shown in the clip post.

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GMI Cloud (gmi_cloud): A finished, sentiment-driven micro-short about a mother’s quiet strength is published, with the generation credited to gmi_cloud and the prompt workflow credited to D_studioproject, per the release and credits.

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Kling AI Dance Challenge (Kling): Kling refreshed its creator challenge payouts, tying rewards to new like-count tiers while keeping the total pool at 260 million credits, as described in the Rewards upgrade post—with the top threshold offering a 1-year Ultra Plan worth 312,000 credits once a submission hits 100K+ likes.

• New like tiers: The post adds explicit brackets starting at 50–300 likes (50 credits), 301–1,000 (400 credits), then scaling up to 10,001–100,000 (5,000 credits), as shown in the Rewards upgrade post.
• Tutorial multiplier: Submissions that include a tutorial get 1.5× the credits for the matching tier, per the Rewards upgrade post.

Kling AI Dance Challenge (Kling): Kling also published the operational details for the same event—submissions run Jan 11–Jan 21, 2026 (UTC‑8), with reward distribution scheduled Jan 22–Feb 7 (UTC‑8), as listed in the Timeline and rules panel.

• Posting requirements: Entries must include the Kling watermark, use #KlingAIDance, mention “Created By KlingAI”, and tag @Kling_ai, according to the Timeline and rules panel.
• Payout mechanics: Creators must DM their Kling UID before the deadline to receive credits, and Kling states submissions grant permission for official channels to redistribute/use the videos, per the Timeline and rules panel.

Kling AI at CES 2026 (Kling): Kling published a CES recap video framing its booth message as “turns imagination into reality” and “AI-powered creativity,” emphasizing demos shown across Unveiled and panel moments in the CES recap post.

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The clip is mostly positioning and community thank-yous rather than product specs, but it’s a clear signal Kling is treating CES as a mainstream creator acquisition channel, as stated in the CES recap post.

CES production work (AMD): A creator said they participated in a “massive video project” at CES 2026 connected to AMD announcing “new AI ventures,” per the Creator credit note.

There are no additional details in the post (no toolchain, runtime, or deliverable cut), but it’s a concrete datapoint that paid/commissioned AI-adjacent video production is showing up as named work in CES announcement cycles, as implied by the Creator credit note.

Universal Commerce Protocol (Google): Google is pitching UCP as an open standard for “agentic shopping” that spans discovery → checkout → post‑purchase support; the rollout includes “agentic checkout” in Google Search AI Mode and the Gemini app, with Google Pay support and PayPal “coming soon,” according to the UCP feature rundown.

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• Ecosystem + protocol fit: Google says UCP is compatible with A2A, AP2, and MCP, and was co-developed with major retailers/commerce platforms including Shopify, Walmart, Target, Etsy, and Wayfair, as detailed in the UCP feature rundown.

What’s still unclear from today’s posts: the exact spec surface (schemas, auth, sandboxing) and how “open” implementations will be distributed beyond Google’s own shopping surfaces.

X algorithm transparency (X): Elon Musk says X will open source “all code used to determine what organic and advertising posts are recommended” in 7 days, and repeat that release every 4 weeks with “comprehensive developer notes,” as shown in the Musk screenshot.

For AI creatives, this is one of the few concrete commitments that could let toolmakers and growth-focused creators model distribution changes with less guesswork—assuming the shipped code and notes are complete and map to production behavior.

Claude Code (Anthropic): Anthropic is now explicitly promoting the Claude Desktop path for using Claude Code with local folders—positioning it as a “no terminal window” install-and-go flow, per the Promotion link that points back to the earlier “install Code, pick a folder” setup described in the thread context.

This is less about new capability and more about official packaging: local-repo access becomes a first-class surface (Desktop) instead of a terminal-first product story.

Product naming (Anthropic): A creator-facing argument is resurfacing that mainstream adoption hinges more on the brand noun than the interface noun—“it’s not the CLI… it’s the ChatGPT that’s important”—with the suggestion that Claude Code is clearer than “Codex,” but that Claude Agent could be the better long-term name because it reads as general-purpose, per the Naming argument.

This is opinionated signal, not a shipped change. It still matters because it mirrors how many non-dev creative teams discover tools: by product name, not modality.

Gemini CLI (Google): A user reports the CLI failing after 2–3 messages with Node’s file-watcher throwing Error: UNKNOWN: unknown error, watch, after previously seeing ECONNRESET, even after updating Node.js and reinstalling the CLI as described in the error report.

The repro context is unusually specific—an Obsidian vault stored on a network drive with Syncthing syncing to Android, per the same error report—which points to a reliability edge case for creative “notes-as-project” workflows that rely on continuous filesystem watching.

Claude Code (Anthropic): A report claims Anthropic “lifted bans on accounts affected by third-party harnesses spoofing Claude Code via subscriptions,” as stated in the ban reversal claim.

Details on the remediation steps are not fully visible in the snippet of the ban reversal claim, but the core signal is an access reversal tied to suspected third‑party misuse rather than normal creator activity.

NotebookLM (Google): A creator asks for more voice options and an explicit way to choose the narrator, noting surprise that it’s “still not available” in the voice controls request.

This is a straightforward UX gap for audiobook/podcast-style exports where consistent voice casting matters across episodes, as implied by the voice controls request.

Engagement farming (X creators): A creator-side backlash post argues that “reply guy” behavior (hundreds of comments per day) is an incentive trap where big accounts monetize your interactions, while you burn time that could go into original work—especially relevant for AI artists whose output can get drowned by engagement games, as framed in the anti engagement farming post.

The same post lands the point with an “ENGAGEMENT FARMING” cartoon of creators being “milked” for clicks and follows, including a “SMASH THAT FOLLOW BUTTON!” sign—see the anti engagement farming post.

Posting heuristic (AI creator feeds): A simple performance meme claims “banger probability” goes down as “time spent to make post” goes up, implying fast iteration and frequent shipping may outperform over-crafted threads in current feeds, as shown in the banger probability graph.

This is presented as a broad rule-of-thumb rather than evidence-based analysis; no platform or dataset is cited in the banger probability graph.

Feedback loop (creator psychology): A short observation says you can’t predict what will hit, but you can often tell “almost immediately after” posting whether it landed, capturing how fast early feed signals shape what creators choose to make next, per the hit detection observation.

Cinev: Cinev is being promoted to animation/3D creators as an “easiest way to create animation with AI” site, with emphasis on generating scenes that stay editable—see the recommendation in Cinev recommendation and the walkthrough on the product site in product site. It’s framed around turning a written story beat into multiple visual scenes (example narrative is included on the site), which is the part that matters for previs and iteration-heavy shorts.

The public posts here are high-level and promotional; there aren’t concrete specs (export formats, scene graph compatibility, rig controls) in the tweets, so practical pipeline fit is still unclear from today’s evidence.

Leonardo + Nano Banana Pro: A workflow claim is circulating that you can upload a flat logo and get a 3D-looking asset “in seconds,” with added depth/texture output attributed to Nano Banana Pro inside Leonardo, as described in Logo to 3D claim. This sits squarely in the “brand kit → 3D-ish scene elements” lane for motion/identity work.

Today’s tweet is a repost without technical detail (mesh vs normal-map render, export targets, or editability), so the exact deliverable type isn’t verifiable from the thread alone.

Gemini API on Vertex AI (Google): Retail customers alone went from 8.3T monthly tokens (Dec 2024) to 90T+ monthly tokens (Dec 2025)—an 11x+ YoY increase, as described in the Vertex token growth metric.

This is a straight demand signal for creative builders who rely on Gemini-backed pipelines (generation, editing, agent loops): it implies rising inference throughput needs on Google’s side and a bigger “default” installed base of agentic/creative workloads running on Vertex rather than only in consumer apps.

LTX-2 (LTX): Creators are positioning LTX-2 as a “first fully open-source alternative to Runway” that runs locally, per the Open-source alternative claim, with a concrete speed datapoint that a distilled build on an RTX 5060 can generate a 10-second 720p clip in under 3 minutes, as reported in the RTX 5060 timing.

• Local workflow feel: One recurring note is that output satisfaction can hinge on audio support—“the audio makes a lot of difference”—in commentary captured in the Audio note.