AIEntertainment (tm) 8000 members ➕ Goal! Share please!

🪐✨ Adobe Firefly has cracked the code. Tried the text-to-video feature and what did I get? A gopher popping out of its hole, giving the camera a whole personality. 🦔🌀 MMAudio’s sound design? A perfect blend of organic and cinematic. 🍂🎶 This is A.I. with soul. If you’re not already exploring this tech, you’re missing out on the future. Dive in and experience the revolution. 🌿⚡ #Firefly #Matassa #AICreator #AIFilm #TechAlchemy #Innovation

I might be late to the party, but I’ve been having a lot of fun playing with Higgsfield AI’s camera control lately. It’s refreshing to see a video model that just focuses on camera movement, and nails it. I’m sure other tools will catch up soon, but for now, Higgsfield stands out for doing one thing really well. Yeah, the price is a little steep… but honestly, you know exactly what kind of shot you’re paying for; and in today’s sea of weekly model drops and updates, that kind of clarity is a win.

The exponential pace of AI‑video innovations is becoming the norm. Just today, four new tools have landed that drastically simplify what used to be a weeks‑long workflow: 1️⃣ Wan 2.1 “First‑Frame Last‑Frame” (FLF2V‑14B) 🤌 What it is: A 14 billion‑parameter model that turns two still images into a smooth, short clip. 🤌 How it works: You feed it your first and last frames; it runs ~40 diffusion steps on one GPU (or shards across multiple cards with FSDP+xDiT) to fill in the middle . 2️⃣ ComfyUI‑LTXVideo 0.9.6 🤌 What it is: The April 17 update to LTX‑Video support in ComfyUI. 🤌 New toys: - LTXV 0.9.6 checkpoint for sharper, cleaner motion; Distilled “turbo” model that spits out a usable preview in just eight diffusion steps; STGGuiderAdvanced node to dial guidance strength and timing per step - no more wrestling a dozen hidden knobs . 3️⃣ FramePack 🤌 What it is: A next‑frame‑section predictor that “packs” each frame’s data into a fixed‑size bundle. 🤌 Magic trick: By compressing input contexts to a constant length, it keeps memory use flat, so your 6 GB GPU can stream minutes of 30 fps video with live previews and no VRAM meltdowns. 4️⃣ Tencent’s InstantCharacter 🤌 What it is: An open‑source plugin that turns one portrait into a whole lineup of consistent character shots. 🤌 How it works: Built on a DiT‑based diffusion backbone plus a scalable adapter and trained on tens of millions of character images, it nails identity and pose from a simple prompt like “a rabbit sipping soup”, no extra tuning required . They’re not flawless, you’ll still bump into GPU limits and occasional hiccups. But now you can: 🔥 Make mini‑movies from two frames 🔥 Get video proofs in eight steps, not eighty 🔥 Spin out 30 fps on a 6 GB GPU 🔥 Morph one image into a cast of character poses With demos and ComfyUI nodes already circulating, these drops slot into existing pipelines overnight. Time to crank your fans and torch some VRAM. 🔗 Wan 2.1 FFLF workflows - https://lnkd.in/dxVrT875 🔗 LTX 0.9.6 - https://lnkd.in/dFP5Cj5r 🔗 FramePack - https://lnkd.in/denRmZTZ 🔗 InstantCharacter - https://lnkd.in/d6Qnr54Z ========================================= If you’re serious about turning ComfyUI and other AI tools into a professional creative toolkit, come join us. You’ll fit right in. Advanced Comfy Course - https://lnkd.in/eWBXf4pY AI for Creative Leaders - https://lnkd.in/dV6zRtMG

The Forest’s Song | The Guardian Examples using Kling 2.0 Midjourney 7 + ChatGPT 4o Image Generation + Kling 2.0 + CapCut video editing #chatgpt4o #midjourney #klingai #capcut #aicc #aicccreators #aiartcommunity AI/CC :: Artificial Intelligence Creative Community

🎬 One shot. One moment. No cuts. A new era of AI video is starting to unfold, where long, fluid scenes move with real rhythm. ⏱️✨ 🎞️ This clip (shared by Cristóbal Valenzuela, made with Runway’s Gen-4) hints at what’s coming: - Better camera control. - Longer takes. - Scenes that actually breathe. It’s not just about photorealism anymore. 🖼️ It’s about pacing. Presence. Vibe. ⚡ A quiet shift in how we build time into storytelling. 📖 Time is liquid. 💧

ByteDance just dropped Seaweed - a powerful video generation model built with 7B parameters and trained on massive multi-modal data. 🔷 Multimodal Text-to-Video Generation 🔷 Realistic Human Characters 🔷 Image & Audio-Based Video Creation 🔷 Long-Form & Multi-Shot Storytelling 🔷 Creative Camera & Real-Time Control For more: 👉 https://seaweed.video/ Project: 👉 https://lnkd.in/gpHq6C_e

I can't stop testing Higgsfield AI's camera motion mixes. I love the unique results without color or exposure changes. I'm looking forward to the new Pulse collection with more options, such as Boxing, Snowboard Carving, and Downhill POV. Those will be available to everyone next week. For this example, I used a Mystic 2.5 image generated on Freepik with these motion controls: → 360 Orbit → Bullet Time 🔹 My prompt: Camera orbits around the motorcycle jumping across the canyon with a midair bullet time effect. 🔹 Higgsfield-enhanced prompt: As the sun blazes overhead, a rugged canyon comes into view, its red rock formations towering against the clear blue sky. A motorcycle, vibrant orange against the landscape, revs forward, gaining momentum. Suddenly, the camera begins a 360 orbit around the bike, capturing the swirling dust clouds as they billow out like a tornado. The rider leans forward, helmet gleaming, muscles tensed — a moment before takeoff. Just as the motorcycle launches off the canyon edge, the world slows in Bullet Time; dust particles float, catching the golden sunlight while the bike hangs in the air. Details come to life in this suspended second, showing the dynamic interplay of power and grace amid the breathtaking scenery. The canyon walls frame the leap, and the rhythm of nature syncs with the heartbeat of adrenaline. The final frame captures the essence of freedom — mid-flight, the rider and machine fuse as one against the vast sky.

I tested two of the top-tier video generators — Kling 2.0 and VEO 2 (text-to-video). Kling is the King when it comes to dynamic camera control and fast motion. However, I found it a bit challenging to achieve a realistic look from text to video workflow. If you are building a fantasy world, Kling 2.0 is definitely the go-to. On the other hand, VEO 2 delivered far more realistic results, making it better suited for commercial-style projects. 🎬 Spec Ad for Albion Saddlemakers – Riding Through Centuries!