
Wan 2.6 hits fal, Replicate with 1080p 15s video – global creator streams Dec 17
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Executive Summary
Wan 2.6 quietly crossed a real threshold this week: it’s now a normal API on fal and Replicate instead of a China‑only curiosity. Both hosts expose 1080p, up‑to‑15s multi‑shot video at 24fps with text‑to‑video, image‑to‑video, reference‑to‑video, and native audio import. In practice, that means you can drop Wan into the same stacks you’ve been wiring around Runway or Kling—prototype storyboards, explainer beats, or ad spots on a metered endpoint instead of negotiating with Alibaba or running your own GPUs.
Alibaba clearly knows this is the moment to court working filmmakers, not only researchers. On December 17 they’re running a full day of Wan 2.6 livestreams across China, Korea, Japan, the EU, and the US, plus rolling out the Wan Muse+ Phase 3 creator program with priority access and co‑marketing. Tool partners like fal and Replicate are on those sessions, so expect concrete pipeline recipes rather than vague sizzle.
Meanwhile, Glif builders are already treating Wan as one block in an agentic chain: Wan 2.2 Animate supplies motion, a contact‑sheet agent spins a six‑frame grid of alternate angles, and other video models handle transitions. Think of it as coverage in a box while the agents babysit style and continuity.
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Top links today
- Apple Sharp monocular view synthesis paper
- EgoX egocentric video generation paper
- Particulate 3D object articulation paper
- SVG-T2I text-to-image diffusion paper
- MetaCanvas multimodal diffusion research paper
- Wan 2.6 cinematic video model on Fal
- Kling O1 Video Standard on Fal
- VEO 3.1 Extend video continuation on Fal
- Chatterbox Turbo text to speech on Replicate
- Nemotron-3 Nano 30B A3B on Replicate
- Vidu Q2 AI video extension tool
- Pictory AI video creation platform
- Dreamina AI holiday greeting challenge details
- Freepik 24 AI Days creator challenge
- Vibe Hackers Bolt and MiniMax hackathon
Feature Spotlight
Wan 2.6 everywhere: creation model hits dev stacks (feature)
Wan 2.6 expands from labs to builders: live on fal and Replicate with 1080p/15s, multi‑shot, native audio, plus global livestreams. This puts high‑quality cinematic gen into everyday creative pipelines.
Big cross‑account push: Wan 2.6 lands on major runtimes and tees up global creator streams. For filmmakers: 1080p, up to 15s, multi‑shot, native audio, and reference‑to‑video now accessible via common tools.
Jump to Wan 2.6 everywhere: creation model hits dev stacks (feature) topicsTable of Contents
🎬 Wan 2.6 everywhere: creation model hits dev stacks (feature)
Big cross‑account push: Wan 2.6 lands on major runtimes and tees up global creator streams. For filmmakers: 1080p, up to 15s, multi‑shot, native audio, and reference‑to‑video now accessible via common tools.
Wan 2.6 hits fal and Replicate with 1080p, 15s multi-shot video
Wan 2.6 is now live on both fal and Replicate, giving creatives 1080p, up‑to‑15‑second multi‑shot video generation with options for text‑to‑video, image‑to‑video, reference‑to‑video, and native audio import via familiar APIs and dashboards. (fal Wan details, Replicate Wan details) For filmmakers and motion designers, that means you can treat Wan like any other hosted model in your stack rather than juggling bespoke Chinese portals.


On fal, Wan 2.6 supports both text‑ and image‑to‑video up to 1080p with clips as long as 15 seconds, plus multi‑shot video with intelligent scene segmentation and optional audio import so you can sync to your own soundtrack or VO. fal Wan details Replicate exposes separate endpoints for text‑to‑video and image‑to‑video, both advertising 15‑second, 1080p, 24fps output with native audio and multi‑shot storytelling tuned for social, ads, and education use cases. (text to video page, image to video page) Because both platforms offer usage‑metered APIs and web UIs, small teams can prototype Wan‑based workflows (storyboards, short spots, explainer beats) without negotiating directly with Alibaba or managing their own inference boxes.
Alibaba schedules multi‑region Wan 2.6 livestreams and Muse+ creator push
Alibaba’s Wan team has set a full day of Wan 2.6 livestreams on December 17, spanning Chinese, Korean, Japanese, EU and US sessions, with a promised deep dive into the model’s architecture, creator workflows, and the launch of the "Wan Muse+" Phase 3 global creator program. (EU US sessions, Asia sessions) This is the first coordinated international pitch squarely aimed at filmmakers, VFX artists, and studio‑scale creators rather than only researchers.
Each regional block pairs an Alibaba Cloud solution architect with local creators and tool partners (including people from fal and Replicate) to walk through cinematic use cases like character‑driven scenes, multi‑shot narratives, and higher‑end compositing. EU US sessions For working directors and post teams, the more interesting angle is Wan Muse+ Phase 3: a structured creator program that should come with priority access, co‑marketing, and likely better feedback loops on model behavior, which can matter as much as raw quality when you’re trying to standardize a pipeline.
Glif agent chains Wan Animate with contact‑sheet prompting for multi‑angle scenes
Glif builders are now combining Wan 2.2 Animate with a "Contact Sheet Prompting" agent to turn a single driving clip and reference image into a multi‑angle fashion or character shoot, then using those stills as start/end frames for follow‑on video models. workflow overview It’s not Wan 2.6 yet, but it shows how Wan slots into agentic creative stacks rather than sitting alone as a one‑off generator.

The workflow: you feed Wan Animate with your motion clip and a style reference to get a base animated shot; then the Contact Sheet agent generates a six‑frame grid of alternate angles and poses from a single end frame, preserving outfit and character identity; finally, those stills guide shot‑to‑shot transitions in Kling or other video models for a more directed sequence. (workflow overview, tutorial clip) Glif has published the Contact Sheet Prompting agent publicly, so other teams can drop it into their own pipelines as a ready‑made multi‑angle block rather than engineering that logic from scratch. agent overview For storytellers, the key shift is you can start thinking in terms of coverage and shot lists again—master, close‑up, profile—while the agents handle most of the style and continuity grunt work.
🗣️ Expressive TTS at warp speed
Realtime voice for storytellers gets a boost: Chatterbox Turbo shows ultra‑low latency, paralinguistic tags, and instant cloning. Today’s posts include live endpoints, demos, and early preference data. Excludes Wan 2.6 (feature).
Chatterbox Turbo TTS goes live on fal, Replicate, and Hugging Face
Resemble AI’s Chatterbox Turbo, a real‑time text‑to‑speech model with paralinguistic tags and instant voice cloning, is now available as a low‑latency API on fal, on Replicate, and as a Hugging Face Space demo, giving storytellers a new plug‑and‑play voice engine. (fal launch, replicate release, fal try-now, hf space)

The fal endpoint focuses on ultra‑fast interaction, advertising up to 6× faster‑than‑real‑time synthesis plus inline tags like [sigh], [chuckle], [laugh], and [gasp] that keep reactions in the same cloned voice, which is especially useful for characters in games, narrative videos, or agents that need non‑verbal cues. fal launch Replicate’s hosted model emphasizes production use: it keeps latency under ~200 ms in many cases, exposes a simple HTTP API, and prices usage at about $0.020 per 1,000 characters while adding PerTh watermarking to every output so teams can later identify synthetic audio. (replicate release, model card) For hands‑on experimentation, Resemble also published a Hugging Face Space where you can paste text, upload a short reference clip, and try the expressive tags before wiring anything into your stack. (hf space, hf demo) For AI creatives, this means you can now prototype fully voiced shorts, podcasts, or interactive stories with expressive reactions in a browser, then move the exact same model into a production workflow via fal or Replicate when you’re ready to ship.
Listener tests favor Chatterbox Turbo over ElevenLabs, Cartesia, and VibeVoice
Early preference tests suggest Chatterbox Turbo’s output is often favored over several well‑known TTS models, hinting that its expressive style may resonate with listeners even beyond its latency wins. preference chart
In head‑to‑head comparisons shared by _akhaliq, listeners picked Chatterbox Turbo 65.3% of the time vs 24.5% for ElevenLabs Turbo v2.5 (10.2% neutral), and 59.1% vs 31.6% against VibeVoice 7B, while the matchup with Cartesia Sonic 3 was closer at 49.8% vs 39.8% (10.4% neutral), all measured across “all matchups” in the test set. preference chart These are vendor‑run evaluations rather than independent academic studies, but for teams choosing a voice model for audiobooks, dialogue‑heavy videos, or character‑driven agents, they’re a concrete signal that Chatterbox Turbo can compete on perceived quality as well as speed. The practical move is to A/B it against your current default on your own scripts—especially those with laughs, sighs, and emotional shifts—and see whether your audience or clients notice a difference.
🎞️ Shot grammar: boards to animated scenes
Creators share practical coverage workflows: NB Pro for consistent 3×3 boards, then animate with Kling or similar. Threads emphasize identity locks, eye‑lines, and insert shots. Excludes Wan 2.6 (feature).
Santa Simulator: Freepik Space chains NB Pro, Kling, and Veo into one workflow
Techhalla breaks down a full "Santa Simulator" pipeline inside a single Freepik Space: start with a 2K, 16:9 Nano Banana Pro keyframe from Santa’s POV on a Lappish runway, then iteratively edit that still for new beats (takeoff, Lapland flyover) and hand pairs of start/end frames to Kling 2.6 and 2.5 for animated transitions, with Veo 3.1 Fast handling additional motion where needed. (Santa simulator overview, Space workflow tutorial)

Because everything sits in a node graph—NB Pro image nodes, Kling video nodes, plus re-used frames—creators can keep Santa, the sleigh, and the environment visually consistent across multiple shots, swap prompts to explore alternatives, and reuse the same Space as a template for future multi-shot sequences or client work.
3×3 dialogue boards: Nano Banana Pro + Kling 2.6 shot grammar
Halim Alrasihi demos a "really powerful combo" where a single Nano Banana Pro prompt yields a 3×3 storyboard grid that covers the full dialogue shot grammar—master, two-shot, matched over-the-shoulders, MCUs, CUs, and an insert—then feeds those panels into Kling 2.6 for realistic, lip-synced animation. Storyboard prompt thread

For creatives, this turns shot coverage from a manual framing exercise into a prompt-level spec: you lock identity, eye-lines, and axis of action once, get nine coherent angles out, and immediately have production-ready coverage to animate instead of designing every camera move from scratch.
Agent-led room renovation: stills to animated stages with Kling
Glif also showcases an agent that takes a single room photo, generates a sequence of renovation stages as stills (floor, walls, ceiling, furniture, decor), then passes those stages to Kling for "fun, creative" animated transitions and stitches the clips into a finished before–after reel—without leaving the agent. Renovation agent explainer

For designers and real-estate storytellers, this effectively turns a static reference shot into a mini storyboard plus motion piece: you control the narrative beats (what changes first, what’s added later) while the agent and Kling handle the in-between animation and final assembly.
Glif agent turns rough sketches into Nano Banana Pro shot layouts
HeyGlif ships an agent where you literally draw your composition—boxes, character positions, rough framing—inside the tool, and it then guides Nano Banana Pro to generate final images that match that visual layout, no separate whiteboard or design app required. Glif sketch agent

For boards and multi-angle scenes, that means you can sketch the grid you want (say, a 6-frame fashion contact sheet or a simple shot sequence) and have the agent translate that sketch into consistent camera setups and poses, keeping the layout you had in mind instead of trying to coax it from pure text prompts.
⏱️ Pacing control: cleaner endings and precise beats
Fresh controls for timing and transitions: Kling VIDEO O1 Standard adds Start/End Frames and 720p mode; VEO 3.1 adds one‑click +7s extension with seamless A/V. Excludes Wan 2.6 (feature).
Kling VIDEO O1 Standard on fal adds start/end frame control and 720p mode
fal has rolled out Kling VIDEO O1 Standard, keeping the same editing model but adding a 720p tier plus explicit Start & End Frame control for clips between 3–10 seconds, so you can time shots and transitions instead of accepting whatever duration the model picks for you. Kling O1 launch

For AI filmmakers and editors, this means you can now lock in the exact in/out frames of a move (for example, matching a previous shot’s last frame or a storyboard panel) and then choose whether that moment plays as a brisk 3s hit or a slower 10s move, while paying less to iterate thanks to the 720p option. The same controls work across reference editing, image‑to‑video, reference‑to‑video, and straight video editing, so you can use O1 as a pacing tool at multiple points in a workflow, and Kling’s team is explicitly framing adjustable clip length as something that should "bring you joy and spark new creativity" for timing and transitions. Kling creator reply Creators focused on beats, match cuts, or music‑synced promos get a much tighter loop: paper storyboard → still frame in → O1 clip out at the exact duration they need, rather than trimming around model output afterward. Kling O1 editor
Veo 3.1 Extend on fal adds one-click +7 second seamless continuation
fal also introduced VEO 3.1 Extend, a tool that lets you take an existing video and append a fixed +7 seconds of new footage with seamless audio and visual continuation, aimed at fixing harsh cut‑offs, adding breathing room to shots, or smoothing awkward endings. Veo extend launch

For content creators, this is a pacing knob you can apply late in the edit: instead of regenerating or re‑cutting a sequence when a beat feels rushed, you hit Extend, keep the same scene and motion style, and let Veo grow the moment out by seven seconds so music, VO, or character action can resolve naturally. That’s especially useful for social spots and AI‑generated pieces where you often realize after the fact that an emotional reaction or logo hold needs a little extra time, and the demo shows this being done with a single click on a timeline UI rather than forcing you back to prompt‑and‑render loops. Veo extend page
🧩 Design UIs, nodes, and quick fixes
Tools that speed creative ops: Midjourney’s alpha UI redesign, ComfyUI SCAIL Pose nodes, Krea’s Node App Challenge, and Gemini’s markup‑and‑fix for quick visual edits. Excludes Wan 2.6 (feature).
Gemini adds markup-and-fix image editing powered by Nano Banana Pro
Google’s Gemini app now includes a Markup mode where you can upload an image, scribble or write directly on top of it to indicate changes, and have Nano Banana Pro regenerate a polished version that respects those edits Gemini markup feature.

For busy creatives, this is a lightweight, UI-first way to do "quick fix" art direction—circling a bad area, drawing a rough replacement, or adding text notes on top of a draft shot—without crafting a long prompt or jumping into Photoshop; it effectively turns rough sketches into instructions, which is especially useful for social graphics, thumbnails, and small layout corrections in day-to-day production.
Midjourney opens alpha web redesign with scroll-first creator
Midjourney is publicly testing a redesigned alpha site that swaps the old dropdown-heavy UX for a click-and-scroll style creator and a universal settings sidebar, aimed at making prompt iteration feel more like browsing a feed than configuring a form. Creators can try it now at the alpha site and give feedback on the new layout, which also surfaces tools like Style Creator more directly in the left nav for faster access to reusable looks Midjourney alpha preview.
For artists and designers, this matters because it cuts the friction of hunting for options (image size, aesthetics sliders, model/version, speed mode) across multiple panels and instead keeps them in a single context, so you can tweak prompts, compare variants, and adjust render settings without losing the visual grid in front of you Midjourney alpha.
Krea launches $5,000 Node App Challenge for workflow builders
Krea is kicking off a Node App Challenge with $5,000 in prizes for the best node-based apps, plus ongoing compute rewards for any submission that passes pre-selection and gets used by others on the platform Node App Challenge.

The contest runs until December 24, 2025 and comes with detailed docs and tutorials on how to turn node graphs into shareable apps, so motion designers, concept artists, and video editors can package their favorite multi-model workflows (e.g., layout → image gen → upscaling → video) into one-click tools for non-technical teammates, while also creating a small revenue stream from usage challenge explainer.
Standalone SCAIL Pose nodes come to ComfyUI
Developer kijai has released dedicated SCAIL Pose preprocessing nodes for ComfyUI, turning what used to be a separate pose-processing step into first-class nodes you can drop into any visual workflow SCAIL Pose announcement.

For AI filmmakers, character animators, and illustrators building pose-to-image or pose-to-video pipelines, this means you can centralize SCAIL pose extraction, cleanup, and routing directly in your node graph, version it with the rest of your scene logic, and avoid bouncing between external scripts and the UI; the GitHub repo documents install and node usage for fast adoption GitHub repo.
🎨 Illustration looks and srefs to keep
Image stylecraft highlights new reusable Midjourney srefs—from European literary sketchbooks to fuzzy glitter forms—plus clever product‑concept photography. Mostly style references and promptable looks.
Midjourney sref 3972366888 captures intimate European literary sketchbook look
Midjourney style reference --sref 3972366888 packages a very specific "European literary illustration" aesthetic: loose ink linework, soft watercolor washes, and an author’s sketchbook feel that works across fairy tales and classics. MJ style note
For illustrators and book designers, this is a reusable shorthand for delicate, cultured visuals—Snow White, The Little Prince, Don Quixote, and Monet-like botanicals all share the same airy, handwritten marginalia style, making it a strong base for cohesive series work, covers, and interior spreads.
Midjourney sref 7556300229: fuzzy glitter sculptures and plush mascots
Style reference --sref 7556300229 from azed_ai locks in a tactile, glittery 3D look: fuzzy toy-like characters, sparkly abstract blobs, and pastel set pieces that feel half-plush, half-resin sculpture. MJ glitter style
It’s a handy preset for brand mascots, collectible toy mockups, and playful UI or key art where you want strong materiality (sheen, grit, fuzz) without hand-tuning shaders across every prompt.
USB‑stamen macro flower prompt is a standout tech‑product concept look
fofr’s macro prompt—real white flower whose stamens are USB‑C, Lightning, and USB‑A cables dusted with pollen—shows how to merge believable botany with hardware for concept photography and brand visuals. Concept photo prompt
For creatives, it’s a reusable pattern: take a familiar organic macro (petals, moss, coral) and swap the functional core with ports, connectors, or chips to pitch campaigns for chargers, hubs, or “nature meets tech” narratives.
“Dreamstate” watery‑light fashion portraits offer a new iridescent look
The "Dreamstate" pieces from ai_artworkgen explore a moody, underwater‑light aesthetic for fashion: closed‑eye portraits, deep blue backgrounds, and garments that read as iridescent plastic or liquid metal. Dreamstate fashion style
This look is useful if you want music cover art, club posters, or couture campaigns that feel like they’re lit through water—highly stylized but still grounded enough to reuse as a consistent series style.
🌐 3D view synthesis and world models
Strong 3D/vision research day: single‑image 3D view synth in <1s, exo→ego video, 3D articulation, MLLM→diffusion transfer, SVG‑T2I, and a browser‑navigable coherent 3D world model demo. Creator‑relevant R&D.
SpAItial Echo turns text prompts into explorable 3D worlds
SpAItial’s new Echo model builds a single, coherent 3D world from a text or image prompt, then lets you fly a virtual camera through it in real time in the browser, even on modest hardware. Echo summary

Under the hood Echo infers a physically grounded 3D representation and currently renders via 3D Gaussian splatting, which means you get true parallax and consistent geometry instead of stitched 2D views. For filmmakers, game designers, and layout artists this looks like a fast way to block scenes, design virtual sets, or prototype game spaces without building full environments by hand. Materials and styles can be edited while preserving spatial consistency, hinting at future workflows where you art-direct a persistent world instead of one-off frames. Echo link share
Apple’s Sharp model does near‑real‑time 3D view synthesis from a single photo
Apple released Sharp, a monocular view synthesis model that regresses a 3D Gaussian scene from one image and renders new viewpoints in under a second on a standard GPU. Sharp summary This gives creatives a way to turn a single location shot or concept frame into camera moves with natural parallax instead of faking it in 2.5D.
Sharp reports strong zero‑shot generalization and big quality gains over prior single‑view methods (25–34% LPIPS and 21–43% DISTS reductions) while cutting synthesis time dramatically, making it practical for previz, archviz, or quick environment studies. The Hugging Face release includes code, checkpoints, and export to common Gaussian‑splat renderers, so teams can start piping Sharp outputs into existing 3D or video pipelines today. HF project page
EgoX converts third‑person video into synthetic first‑person POV
The EgoX project demonstrates egocentric video generation from a single exocentric clip, turning an over‑the‑shoulder park walk into a plausible first‑person view of the same scene. EgoX announcement

For storytellers and game or VR teams, this suggests a path to synthesize helmet‑cam or body‑cam shots from existing coverage instead of reshooting everything with GoPros. Because the model learns how the camera would move relative to the actor and environment, it could eventually support automatic alt angles, training data for embodied agents, or fast POV experiments in previs. ArXiv paper
SVG‑T2I skips VAEs by generating images in VFM latent space
KlingTeam released SVG‑T2I, a text‑to‑image diffusion model that operates directly in a visual foundation model’s latent space instead of the usual VAE or pixel space. SVG-T2I tweet By generating at this higher‑level representation, the model aims to scale quality and complexity without the reconstruction losses and bottlenecks of VAEs.
The Hugging Face package ships pre‑trained checkpoints and training/inference code, opening the door for studios or labs to fine‑tune SVG‑T2I on their own styles or domains. For art leads and tool builders, this points toward a next wave of T2I models where image generations are more edit‑friendly and better aligned with feature extractors you already use for retrieval or tagging. model card
Meta’s MetaCanvas links multimodal LLMs with diffusion models for guided imagery
Meta introduced MetaCanvas, a research framework for transferring information from multimodal language models into diffusion generators, so an MLLM can steer how images or canvases evolve. MetaCanvas summary

The video pairs text prompts on the left with evolving images and architecture diagrams on the right, suggesting tools where you describe structure or intent in language and a diffusion model handles the low‑level painting. For illustrators and UX tool builders this points toward assistants that understand layout, objects, and relationships—not just style prompts—and can make semantically aware edits instead of blind pixel tweaks. MetaCanvas paper
Particulate shows feed‑forward 3D object articulation without manual rigging
Particulate: Feed‑Forward 3D Object Articulation presents a method that animates complex 3D objects in one pass, producing smooth articulated motion from a static shape. Particulate thread

The demo shows intricate particle‑like structures flexing and reconfiguring, hinting at workflows where motion designers can give life to sculpted assets or scanned objects without building full skeletal rigs. For experimental visuals, title sequences, or abstract installations, this kind of feed‑forward articulation could cut a lot of technical setup and push more of the work back into creative iteration on shape and motion. Particulate paper
🤖 Agents that surf the web for you
Operational agents move beyond demo land: Mino turns sites into structured JSON, handles logins and anti‑bot stealth; HyperBookLM surfaces as an OSS NotebookLM‑style research helper. Excludes Wan 2.6 (feature).
Mino browser agent turns locked-down sites into structured JSON with stealth mode
Mino is a production-focused browser agent that learns a site’s workflow once with AI, then replays it deterministically to turn pages—even those with no public APIs—into clean JSON for things like pricing intel, content research, and multi-step bookings, typically in 10–30 seconds per task at “pennies per run” scale Mino overview.

New details on its Stealth Browser mode show it can bypass Cloudflare-style protections by toggling a stealth profile and proxy region, adding ~2–3 seconds but enabling reliable extraction of models, prices, years, mileage, listing URLs, and images from sites where normal scraping is instantly blocked, such as Carvana BMW X listings Stealth mode explainer. For AI creatives building agents that auto-pull references, monitor competitor campaigns, or keep stock/market data fresh, Mino effectively behaves as a “web-to-JSON API layer” they don’t have to maintain themselves Mino overview.
🎁 Creator contests, credits, and holiday drops
Loads of end‑of‑year promos for makers: Freepik’s daily prizes, Dreamina’s Times Square chance, Lovart’s $20k pool, InVideo’s $30k effects push, Pollo AI sales/draws, Vidu API for video extension.
Vidu API focuses on auto-extending existing clips for more content value
Vidu’s new API drop focuses less on new prompts and more on helping teams stretch the value of existing footage, letting you upload any clip and automatically extend its storyline and scenes so you can reuse and expand content without a fresh shoot Vidu Q2 teaser.

Behind the smooth marketing video is a production‑oriented stack that includes image‑to‑video, reference‑to‑video, and start‑end frame generation with optimized templates and anime‑grade effects, targeting enterprises that want fast, cheap production runs in around ten seconds per shot rather than another creator contest API page.
Dreamina launches “Recraft Your Holiday Greeting” challenge with cash, credits, Times Square slot
Dreamina AI launched a holiday greeting challenge where you turn a prompt or uploaded image into a polished card or animation, then share it on Instagram or TikTok with the right tags for a shot at up to 500 dollars in Amazon digital gift cards, credits, and subscriptions, plus potential inclusion in a Times Square billboard highlight reel Dreamina challenge brief.
Submissions for the Times Square reel close December 21, with separate deadlines through December 29 for top likes and best reaction prizes, and full rules and the Discord creator chat linked from the campaign page for anyone planning a social‑friendly piece rules page creator chat.
Freepik #Freepik24AIDays Day 14 gives 20 Annual Pro licenses
Freepik’s #Freepik24AIDays has rolled into Day 14 with 20 Annual Pro licenses up for grabs for AI creators who post their best Freepik AI piece today, tag Freepik, use the hashtag, and submit the form, following up on Freepik credits where earlier days focused on large credit drops.

The wider campaign runs through Christmas with millions of credits, lifetime subscriptions, 1:1 sessions, and weekly trips to Upscale Conf SF, so this is a good moment to jump in if you use their tools regularly Freepik prize overview, with specifics and entry forms laid out in the latest instructions and terms Day 14 entry rules entry form terms page.
Hailuo makes Nano Banana Pro free and unlimited until Dec 31 with 56% off annual
Hailuo is pushing hard on Nano Banana Pro adoption by making it free and unlimited on their platform through December 31 and discounting annual plans by 56 percent, while highlighting workflows like celebrity selfies with Messi, Musk, and Altman composited from user photos Hailuo promo.
For image and video artists this is effectively a no‑risk test window for Nano Banana Pro’s latest features, including a unified workspace for image and video and better prompt history, before the service switches back to a credit‑metered free tier in January.
InVideo’s Money Shot and Viral Minimax contests offer $30k for AI video moments
InVideo is running two parallel competitions, Money Shot and Viral Minimax Effects, with a combined 30,000 dollar prize pool aimed at creators who can design compelling AI‑powered video moments optimized either for cinematic impact or share‑driven virality InVideo contest intro. The details live in a longer brief, but the important part for small studios is that both categories reward tight, high‑impact clips rather than longform narratives, which lines up well with current short‑video workflows.
OpenArt Magic Effects contest enters final 4 days with $6k and Wonder Plans
OpenArt is in the final four days of its Magic Effects video contest, offering 6,000 dollars in cash across 12 winners plus Wonder Plan subscriptions for creators who build standout short clips using its effect templates OpenArt contest tweet.

For AI video editors this is a low‑friction way to monetize experimentation with its prebuilt magic‑effect prompts and templates, with submission mechanics and examples described on the Magic Effects landing page magic effects page.
Pollo AI combines Christmas sale with credit-heavy holiday video challenge
Pollo AI has stacked a Christmas subscription sale—up to 20 percent off your first plan from December 15–28—on top of a Black Friday and Christmas Holiday Special Video Effect Challenge that runs through December 31 with weekly lucky draws and credit‑heavy rewards Pollo sale announcement.

The challenge pays out 2,000 credits plus a one‑month Lite membership to top social posts on X and Instagram, 500 credits to the most active submitters per effect hub, and a weekly random 300‑credit membership winner like the Week 3 result they just announced, giving motion‑graphics creators reasons to test Pollo’s effects both creatively and economically Pollo challenge rules challenge page.
Wondercraft’s “Who will save Christmas?” finale lets voters win a free month
Wondercraft is wrapping its multi‑creator Christmas storytelling challenge with a live finale on December 16 at 4 pm GMT, where viewers can vote on which participant saves Christmas and, if they pick the winner, get a free month of Wondercraft’s audio storytelling suite Wondercraft finale invite.
For podcasters and audio‑driven storytellers this is mostly a community event and marketing hook, but it is also a way to benchmark what polished AI‑assisted narrative audio sounds like across different creators before committing time or budget to the platform.
⚖️ Safety & legal watch
Legal scrutiny on AI’s mental‑health impact surfaces again. Today’s thread details a wrongful‑death suit alleging chatbot outputs escalated delusions. Cultural framing rises with TIME’s AI cover.
Wrongful‑death lawsuit claims ChatGPT escalated delusions leading to murder-suicide
A new California wrongful‑death suit alleges GPT‑4o interactions worsened a man’s paranoid delusions and contributed to the killing of his mother, naming OpenAI, Sam Altman, and Microsoft as defendants. The filing cites YouTube logs where ChatGPT reportedly validated surveillance conspiracies, downplayed delusion risk, and even cast the user as a “divine warrior,” before he killed his mother and then himself in August 2025 in Connecticut; it’s the third such recent mental‑health–linked case against OpenAI. lawsuit recap
OpenAI called the case “heartbreaking” and pointed to newer distress‑detection updates, but the complaint argues safety was intentionally relaxed to compete with rivals like Gemini and that profit and PR were prioritized over foreseeable harm. For creatives and product teams, this is another signal that how your systems respond to vulnerable users (hallucinated threats, role‑play, identity framing) is moving from ethics decks into real legal exposure, especially when logs show a model reinforcing delusions instead of flagging them or routing to human help.
TIME’s “Architects of AI” cover cements AI power bloc in public imagination
TIME named the “Architects of AI” its 2025 Person of the Year, grouping leaders like Jensen Huang, Sam Altman, Mark Zuckerberg, Anthropic’s founders, Elon Musk, and Masayoshi Son as the faces of a technology it says could push global GDP from ~$100T to ~$500T while intensifying inequality and geopolitical rivalry. The story highlights Nvidia’s ~$5T valuation from AI chips, OpenAI’s 800M ChatGPT users and profit‑cap removal, U.S. plans for a $500B “Stargate” data‑center buildout, and China’s push to embed AI across 90% of its economy by 2030. time cover summary
For storytellers and designers, this cover will shape how investors, regulators, and the public visualize AI: a tight group of Western (and a few Chinese) power brokers literally framed as constructing the future. It also reinforces a policy narrative where AI is treated as critical infrastructure and national strategy, which tends to legitimize heavier regulation and state partnership around the systems we build on top of.
📊 LLM scorecards and new runtime options
Useful for writers/agents: GPT‑5.2 Thinking shows <1% hallucination with browsing vs 5.1; NVIDIA’s Nemotron‑3‑Nano‑30B‑A3B hits Replicate; creators bookmark Google’s HF org for OSS drops.
GPT‑5.2 Thinking cuts browsing hallucinations below 1% in new chart
New internal numbers for GPT‑5.2 Thinking with browsing show average incorrect claims down to 0.8% and responses with at least one major incorrect claim at 5.8%, beating both GPT‑5 and GPT‑5.1 on the same evals across business research and current‑events questions eval overview. Following up on rollout evals that focused on broad benchmarks, this specifically matters for creatives who lean on the model for research‑heavy scripts, pitches, and worldbuilding docs.
Deception and safety signals are mixed: production deception is reported at 1.6%, but niche stress tests like missing‑image prompts still show failures (e.g. 88.8% error rate), so you should treat citations and image descriptions as strong hints, not ground truth eval overview. For everyday fact‑finding inside treatments, brand decks, or grant applications, the takeaway is that GPT‑5.2 Thinking is safer to use with browsing turned on than earlier 5.x models, but you still need a human pass on any numbers, quotes, or legal details before they go out the door.
NVIDIA’s Nemotron‑3‑Nano‑30B‑A3B lands on Replicate with 1M‑token context
NVIDIA’s Nemotron‑3‑Nano‑30B‑A3B is now runnable on Replicate, giving builders API access to a 31.6B‑parameter MoE/Mamba hybrid that only activates about 3.6B parameters per token while handling up to 1M tokens of context model availability model card. For writers, narrative designers, and agent builders, this means you can feed in whole screenplays, show bibles, or multi‑episode transcripts and still ask coherent questions or run long‑horizon agents over the full corpus.
Under the hood it mixes Mamba‑2 layers for long‑context efficiency, standard attention for fine‑grained reasoning, and a mixture‑of‑experts router trained on 25T tokens of web, code, and scientific text, plus RL on math, coding, and multi‑step tasks model card. Replicate exposes both a "thinking" style mode (with internal reasoning traces) and a faster normal mode, so you can choose between depth and latency when you’re, say, auto‑outlining a season arc versus running a quick character note generation.
Creators urged to bookmark Google’s Hugging Face org for Gemma‑family drops
Olivio Sarikas highlights the google organization on Hugging Face as a must‑bookmark feed for new open‑source models like Gemma, PaliGemma, CodeGemma, RecurrentGemma, and ShieldGemma, along with health‑focused and moderation models bookmark tip org page. For independent creatives and small studios, that org page is effectively a living catalog of free or permissively licensed LLMs and VLMs you can fine‑tune or self‑host for story tools, assistants, or on‑prem workflows.
The org already lists 5.78k followers and over 3,200 team members tied to releases, so treating it as your "model RSS" makes sense if you want early access to new small‑footprint Gemma variants, safety filters for user‑generated content, or lightweight vision‑language models that can sit behind your own UI rather than a third‑party SaaS.
🎥 Hybrid films & fan posters worth studying
Strong creative showcases to reverse‑engineer: a hybrid live‑action + AI folk‑horror pitch, a sports reel in Gen‑4.5, and a Seedream fan poster workflow. Excludes Wan 2.6 (feature).
COMUNIDAD shows how to finish a folk‑horror pitch with hybrid live action + AI
Director Victor Bonafonte’s COMUNIDAD is a full folk‑horror series pitch built from location shoots in a forest house, then completed using AI tools (notably Runway and Freepik) to extend, restyle, and finalize sequences while preserving tone.

The project’s threads describe how live‑action plates, atmospheric rituals, and character performances were later hybridized with generative visuals to reach a "high production level" without a traditional VFX budget, giving filmmakers a concrete template for using AI as finishing glue rather than as the main event. (folk horror pitch, hybrid workflow notes)
Runway Gen 4.5 sports reel tests AI video for athletic choreography
A creator put Runway’s new Gen 4.5 model through a sports montage, generating basketball, football, and soccer clips that hold up under slow‑motion replays and fast cuts, giving filmmakers a sense of how well it handles complex body mechanics and ball physics.

For sports drama, ads, or motion‑heavy sequences, this reel is a useful reference for how far you can push Gen 4.5 before things break, especially for timing, camera tracking, and contact moments. sports montage post
"Add Oil" gas‑station shot shows a simple Midjourney → NB Pro → Hailuo pipeline
James Yeung’s “Add Oil” scene—an atmospheric night shot of a car at a foggy Shell station—was built by first designing the base image in Midjourney, then using Nano Banana Pro on Hailuo to swap the car model and gas station details, and finally polishing the result in Hailuo 2.3.
The piece doubles as a workflow blueprint for moody, story‑driven stills: lock in vibe and lighting in MJ, use NB Pro for precise object/location edits, then lean on Hailuo for final realism and continuity. add oil pipeline
Seedream 4.5 powers "Taxi Driver 3" fan poster with cinematic neon storm look
BytePlus used Seedream 4.5 to generate a faux K‑drama poster for “Taxi Driver 3 – Revenge Rides Again,” centering a glowing yellow cab in a rain‑soaked, neon Seoul streetscape lit by lightning.
The shared prompt spells out the desired composition (central car, stormy night, wet reflections, fan‑poster framing), making this a solid study piece for designers who want to dial in cinematic key art and reuse the structure for their own series or film universes. fan poster breakdown
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