This is wild. Every filmmaker needs to try this... hybrid AI workflow for precision camera control: 1) Block out your camera in Blender to create a motion reference and animate the camera move 2) Generate your start frame in Midjourney to match the pose and composition 3) Feed both to Seedance It tracks the move almost exactly. This is the most powerful hybrid pipeline I've tried yet.show more

this is a big upgrade for AI video you... can now drag & drop 3D characters, blocks to build 3d scene, then control the camera angle precisely for Seedance 2.0. no need to do it in Blender anymoreshow more

🎬 Motion Control has arrived! Take full control of... your AI videos with 12 dynamic camera shots — from smooth Dolly moves to dramatic Cranes and VFX like Explosions and Disintegration. Perfect for adding cinematic flare, stock footage, product ads, or just experimenting with storytelling. ✨ How it works: 1️⃣ Head to the new Video creation tool 2️⃣ Enter your prompt 3️⃣ Pick your camera shot from the Motion Control panel 4️⃣ (Optional) Add a Style or inspiration image as a start frame 💡Want extra consistency? Train an Element, generate your key stills, and animate them for a fully guided scene. More features are coming soon — including End Frames 👀 So stay tuned, and let us know what you create! 🎥 Lights, camera... Motion! Try it now on the Video page 👉🏻show more

📖THE STEP MOST CREATORS SKIP IS WHY THEIR AI... ANIMATION LOOKS INCONSISTENT Consistency across clips doesn't come from prompting — it comes from the reference image. The pipeline, step by step: ▪ Start with ChatGPT Image 2 — generate a full character design sheet first, not just a single frame. Multiple angles, expressions, and outfit variations in one image keeps the character consistent across every scene ▪ Build a storyboard inside ChatGPT Image 2 as well — define each shot, camera angle, action, and mood before touching Seedance at all. This is the step most people skip and it's the reason clips look disconnected ▪ Define a color palette and lighting mood early — golden afternoon light, soft warm tones, dramatic shadows. Lock those values and repeat them across every prompt ▪ Take each storyboard frame into Seedance 2.0 as the reference image — one frame becomes one clip ▪ Write the Seedance prompt around the character action, not the scene description. The scene is already in the image. The prompt handles motion, camera behavior, and timing ▪ Keep clip duration between 4-6 seconds per shot — shorter clips give more control over pacing and reduce motion drift on character faces ▪ Match camera movement type across consecutive clips — if one shot dollies in, the next should hold or pull back, not dolly again The consistency across these frames comes from the character design sheet, not from luck. Seedance reads the reference image and the prompt together — if the reference is detailed enough, the output stays on-model. This video was created by ALOKXMEHTA 📥 tomorrow: the exact ChatGPT Image 2 prompt structure used to generate a multi-angle character design sheet like this one 🔖One article covers the entire workflow — it is pinned below, do not scroll past it.show more

This is bizarre and out of place. Was the... person filming this not supposed to point the camera that way yet? Watch the camera man. 😳🙅🏽show more

How to use Kling AI 2.5 Turbo Start and... End Frame to create a sophisticated makeup look: Step 1: Upload your photo and use the image to generate the makeup. The prompt is as follows: Add vibrant fantasy makeup with purple and yellow gradient eyeshadow, dramatic eyeliner, glitter details under the eyes, and small rhinestones arranged decoratively, keeping the lighting, pose, and outfit consistent. Step 2: Use the Start and End Frame feature to animate the image. The prompt is as follows: The woman lifts her head as the light above illuminates her face, creating a subtle overexposed glow. Her makeup appears to finish itself under the shifting light, and she lowers her gaze toward the camera with a soft, controlled expression. Try Kling AI now!show more

Here are some really tactical ways to optimize the... First and last frame capability: — Make sure your prompt includes precise camera motion descriptions for smooth and creative transitions between the first and last frames. — Or, you can simply include the word “transform” in your prompt for a smooth transition — Starting with a closeup in your first frame and then zooming out to a wide-shot in the final frame is an effective way to create a dramatic reveal.show more

ProjectAlpha22 🏳️‍🌈 I hand animate it while referencing the... clip, and for the camera, I have the clip for the shot in the scene camera, and I do a really silly thing where I place the blender cursor on a defined point in the image, and rotate the camera to keep the image in that "spot"show more

Dear Kling AI Please fix your lip-sync for Non-Human... characters! How can you "Not Detect a Face" in this video?!? I love the action and the camera move but I can't add dialogue to this scene.show more

❤️ Runway Aleph 🔥🔈 Testing combining rapid camera movements... with preserving core of base video action. example: 'leaving the first frame unchanged, move the camera extremely rapidly to an aerial view above this explosion while keeping the focus on the explosion, then zoom the camera out to reveal the entire complex' Wonder if I can specify the final frame via image reference. Last video is original.show more

How I made the video below (17s): 1. Use... Nano Banana to generate keyframes (a consistent world + full environment) 2. Use Kling with first/last frame reference to generate the in-between shots (bring the keyframes to life) 3. Use CapCut for revisions and editing (pacing, transitions, SFX, subtitles) There are three main challenges: 1. Getting AI to produce story-driven visuals: you need to bake relationships and narrative intent into the prompt 2. Writing prompts in cinematic language: specify shot types, camera movement, and framing changes to make transitions smoother 3. Editing is the real “ceiling”: assembling shots, controlling rhythm, building emotion, and syncing sound with visuals all come down to editing Making AI shorts is basically a hybrid job: writer-director + editor. If you understand storytelling and camera grammar—and then cut it with the right rhythm—the results get dramatically better.show more

Clever & fun free app from move 37 Uses... your camera roll to tell you where you've been this year and in the pastshow more

Seedance 2.0 is officially LIVE on Pollo AI:)🚀 I... tried Seedance 2.0 on Pollo AI, and honestly—it’s a big upgrade. The motion feels much smoother, and generating audio + visuals together makes everything more polished and in sync. What stood out most is the control—you can tweak performance, lighting, and camera angles to level up your storytelling. 🔥 Plus, get 60% OFF for a limited time—perfect for anyone getting into AI video creation.show more

The AI video stack is leveling up. is integrating... Seedance 2.0 and this isn’t just a feature update. It’s a workflow shift. Seedance 2.0 isn’t about flashy one-off clips. It’s about controllable cinematic systems: - Consistent characters across scenes - Fluid camera choreography - Realistic lighting physics - Emotion-driven motion curves - Story-aware scene transitions Translation? You move from “prompt and pray” to structured AI filmmaking. For creators and brands, this compresses the entire production pipeline: Concept → Previs → Animation → Polished Output All inside one ecosystem. Lower friction. Higher narrative control. Faster iteration loops. The barrier to cinematic storytelling just dropped, hard. If you care about leverage in content creation, pay attention. This integration changes the playing field. Check this now :show more

Create a storyboard, feed it into Seedance 2.0, and... let an LLM analyze the storyboard to generate better prompts. A practical way to turn visual planning into more controlled and consistent video generation. To try this workflow, link below 👇show more

Here are the steps to create this animation: 1.... Design and model your own mech in Plasticity. 2. Import the model into the animation software 3ds Max. 3. Create the animation on your own. 4. Render and export the monochrome model animation. 5. Make the final render for reference. 6. Use Seedance 2 to re-render your monochrome model animation according to the reference render you provided. Summary: In this workflow, Seedance 2 acts as a renderer that saves you hours of rendering time. All other work has to be done manually by yourself. Don’t blindly believe that AI can fully produce mech animations for you — it simply cannot do that.show more

Just generated this clip in 30 seconds 1. record... a vertical video 2. use MakeUGC to generate an AI character 3. use Elevenlabs to convert my voice to match the girl's voice 4. replace the AI character with me on the video comment "Motion" and I'll send you the full workflowshow more

Alright boys this is how you should be filming... your nugs using the iPhone camera (without the macro camera for the mfs who don’t have it this is all on x1 zoom) Left video is how I see 99% of yall film the right is how you should. Never zoom in on the nug just bring the nug as close to your camera as possible and watch the magic happen.show more

How to Create Old-School Anime in 2025: 1. Generate... one scene with AI 2. Generate camera angles of that scene with AI 3. Animate everything with AI In 2026, everyone will be making their own anime series. In 2027, the top creators will be franchising them to Netflix.show more

Turn a simple idea into a storyboard, then generate... the video with Seedance 2.0. This ComfyUI workflow uses LLMs to structure prompts into storyboard-ready scenes that define how the video should play out. The storyboard can be paired with reference images and sent directly into Seedance for video generation. To try this workflow, link below 👇show more

Camera distances. 1. Camera in Kyiv is 75km+/- from... Bila Tverska 2. Camera in Donetsk is 20km from Avdiivka and 75km+/- from Druzhkivka, Donetsk region Comparing the distance and speed its not hard to tell that the impact seen by the camera in Donetsk is much closer compared to the one seen from Kyiv. Note: Both cameras are at the same FPS/Bitrateshow more