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Visual annotation with Ray3 enables guided camera movement. Illustrate out motion paths, sweeping turns, or dynamic reframes. Each line guides camera movement, to shape each shot visually beyond just text prompts. Try Ray3 in Dream Machine.

Luma AI

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11,874 次观看 • 8 个月前 •via X (Twitter)

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Visual annotation with Ray3 brings fine tuned control to character expression. Create subtle motion, lift a brow, curve a smile, or shift a gaze. Direct emotions and from anger to love. Try Ray3 in Dream Machine.

Visual annotation with Ray3 brings fine tuned control to character expression. Create subtle motion, lift a brow, curve a smile, or shift a gaze. Direct emotions and from anger to love. Try Ray3 in Dream Machine.

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Visual annotation with Ray3 lets you explore multiple ad variations from a single frame. Sketch how scenes unfold, a can lifted, fruit bursting, or motion synced to energy. Now bringing ad-level direction to life through visual intent. Try Ray3 in Dream Machine.

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OSAKA If you want to turn these into a video you can use this Seedance 2.0 prompt: Use the provided image board @[image1]. Do not treat the full grid as a single image. Treat each panel as a separate shot or cut, and animate them as a short nostalgic cinematic sequence. Bring each panel to life with smooth motion, subtle camera movement, soft transitions, and consistent subject, mood, lighting and style across all shots. No text

OSAKA If you want to turn these into a video you can use this Seedance 2.0 prompt: Use the provided image board @[image1]. Do not treat the full grid as a single image. Treat each panel as a separate shot or cut, and animate them as a short nostalgic cinematic sequence. Bring each panel to life with smooth motion, subtle camera movement, soft transitions, and consistent subject, mood, lighting and style across all shots. No text

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Heather Cooper

63,079 次观看 • 1 年前

This ComfyUI workflow lets you draw lines and annotations to guide motion, define where actions should happen, and influence movement throughout a scene. An integrated LLM translates those annotations into prompt instructions, making it easier to direct motion visually instead of relying entirely on text prompts. The workflow works best with clear, intentional paths, while more complex routes with frequent direction changes can be harder to follow consistently. To try this workflow, link below 👇

This ComfyUI workflow lets you draw lines and annotations to guide motion, define where actions should happen, and influence movement throughout a scene. An integrated LLM translates those annotations into prompt instructions, making it easier to direct motion visually instead of relying entirely on text prompts. The workflow works best with clear, intentional paths, while more complex routes with frequent direction changes can be harder to follow consistently. To try this workflow, link below 👇

ComfyUI

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Still experimenting with using a single visual production graph as the anchor for multi-shot storytelling in Seedance 2.0 • Paired it with a structured text prompt to define sequence, camera moves, and character consistency • Used explicit spatial rules (door hierarchy + movement direction) to prevent scene resets and continuity errors

Still experimenting with using a single visual production graph as the anchor for multi-shot storytelling in Seedance 2.0 • Paired it with a structured text prompt to define sequence, camera moves, and character consistency • Used explicit spatial rules (door hierarchy + movement direction) to prevent scene resets and continuity errors

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Creating professional content just got easier. Kling 3.0 Motion Control had fully rolled out. It locks in facial identity consistency across angles, lighting shifts, and complex scene transitions. Even with occluded faces or fast camera movement, expressions remain stable and natural.

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🧪 Female Portraits in GEN-3 Alpha I think I've finally cracked a prompt structure applicable to all female portrait styles in I2V to give them natural movement! Prompt: static camera, fast natural movement, dynamic motion, fashion portrait, she looks at us with love, cheeky eyes and lips, blinking eyes. ✨ Pro Tip: If your seeing color shifts or are working with lower contrast input images, add "muted colors, low contrast" to the beginning of the prompt.

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97,719 次观看 • 1 年前

🎬 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 👉🏻

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Leonardo.Ai

984,421 次观看 • 1 年前

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currently experimenting with WAN 2.6 I2V on GMI Cloud in this test, I’m comparing two audio workflows and honestly both perform really well. one scene uses audio generated directly from the prompt, while the other uses manually uploaded audio taken from the film 300. visually, both deliver strong motion and solid performance. however, the version with audio coming straight from the prompt feels slightly more refined, camera movement is smoother, transitions flow more naturally and the sync between voice, facial motion, and pacing feels more cohesive. lip sync, especially for Chinese dialogue also comes across a bit cleaner. you can choose single shot for a clean, focused moment or multi shot if you want more cinematic transitions, even when working from just one reference image. one important note: always turn on prompt extension. it makes a noticeable difference in how well the model understands motion, transitions and overall scene flow. both audio approaches are totally usable, but if you’re building dialogue driven or cinematic scenes, starting with audio from the prompt gives WAN 2.6 a bit more context to work with. I’ll be pushing this further with more dynamic camera movement and transitions next. more experiments coming soon ✨ Wan

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Heather Cooper

29,138 次观看 • 1 年前

Nano Banana Pro actually understands camera logic and film stocks, not just visual styles You can tell it the exact film stock and describe how the camera should behave, and it responds in a way that feels much closer to how a real cinematographer would interpret those choices. I tested this with 10 iconic film stocks, each paired with a precise prompt, and the results came out shot-ready when generated with Leonardo AI. If you care about realism, mood, and true cinematic accuracy, these 10prompts will completely change how you approach prompting👇

Nano Banana Pro actually understands camera logic and film stocks, not just visual styles You can tell it the exact film stock and describe how the camera should behave, and it responds in a way that feels much closer to how a real cinematographer would interpret those choices. I tested this with 10 iconic film stocks, each paired with a precise prompt, and the results came out shot-ready when generated with Leonardo AI. If you care about realism, mood, and true cinematic accuracy, these 10prompts will completely change how you approach prompting👇

Amira Zairi

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Turning ocean motion into visual storytelling , Every frame feels alive ❣️ Generated with GPT Image 2 + Seedance 2.0 on BudgetPixel AI Prompt : A highly realistic cinematic luxury lifestyle scene filmed like a professional Hollywood commercial. Opening shot: captured with a stabilized drone camera during golden hour over a calm deep-blue ocean. A beautiful young woman in her mid-20s naturally drives a modern white speedboat at medium-fast speed. Her hair flows realistically in the wind, sunlight softly reflects on her skin, and the water movement looks physically accurate with natural splashes and detailed wake trails behind the boat. Camera transitions smoothly between professional cinematic angles: — wide aerial drone tracking shot — side profile tracking shot close to the water — realistic handheld close-up of her adjusting the steering wheel — slow-motion splash shots with authentic lighting reflections — cinematic close-up of her relaxed confident expression wearing elegant sunglasses The boat movement feels realistic with proper wave interaction and balanced motion physics. Natural wind simulation, true-to-life ocean textures, realistic shadows, premium color grading, subtle lens flare, shallow depth of field, documentary-style realism mixed with luxury commercial aesthetics. Final shot: drone slowly pulls away as the speedboat moves toward the glowing sunset horizon, creating a premium emotional ending. Style: ultra photorealistic, professionally filmed, cinematic lighting, realistic camera motion, authentic human movement, luxury travel commercial, 4K HDR, smooth transitions, no CGI look, no artificial facial distortions, natural body proportions, highly detailed water simulation...

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This AI just turned me into a film director… No editing skills. No timeline headaches. Just one prompt. This is Seedance 2.0 🎬 You can literally combine: → Text → Images → Videos → Audio And it understands everything. Even crazier? You can control it like this: Image → character Video → camera movement audio1 → music/voice It doesn’t just generate clips… It builds full cinematic scenes with: → Consistent characters → Smooth transitions → Realistic motion → Built-in lip sync Basically… From a single prompt → you get a multi-shot story. Not AI video. AI filmmaking. Go try it before everyone catches on 👇

This AI just turned me into a film director… No editing skills. No timeline headaches. Just one prompt. This is Seedance 2.0 🎬 You can literally combine: → Text → Images → Videos → Audio And it understands everything. Even crazier? You can control it like this: Image → character Video → camera movement audio1 → music/voice It doesn’t just generate clips… It builds full cinematic scenes with: → Consistent characters → Smooth transitions → Realistic motion → Built-in lip sync Basically… From a single prompt → you get a multi-shot story. Not AI video. AI filmmaking. Go try it before everyone catches on 👇

Kshitij Mishra | AI & Tech

60,393 次观看 • 3 个月前

I've seen a lot of animatics lately that are super detailed, essentially viewport previews of the final shot. But an animatic at it's core doesn't need to be anything fancy. Its main purpose is to plan and test the timing, camera angles, movement, and overall composition. With animatics you have to keep in mind the following: Pre-visualization: It allows to see a basic version of the animation or scene before committing to detailed work. Timing and pacing: An animatic helps identify how long each scene or shot should last, ensuring that the timing feels right. Planning: It helps with layout, camera angles, and transitions. By visualizing the shots, the team can ensure that the framing and overall design of the scenes work well in 3D space. Efficiency: It allows the team to test and fix any potential issues early on, like awkward movements or awkward pacing, before spending time on high-quality rendering or complex animation. In short, an animatic helps in conceptualizing the final animation by giving a low-res, rough version of the scenes, which guides the entire production process in terms of visual design, timing, and storytelling.

I've seen a lot of animatics lately that are super detailed, essentially viewport previews of the final shot. But an animatic at it's core doesn't need to be anything fancy. Its main purpose is to plan and test the timing, camera angles, movement, and overall composition. With animatics you have to keep in mind the following: Pre-visualization: It allows to see a basic version of the animation or scene before committing to detailed work. Timing and pacing: An animatic helps identify how long each scene or shot should last, ensuring that the timing feels right. Planning: It helps with layout, camera angles, and transitions. By visualizing the shots, the team can ensure that the framing and overall design of the scenes work well in 3D space. Efficiency: It allows the team to test and fix any potential issues early on, like awkward movements or awkward pacing, before spending time on high-quality rendering or complex animation. In short, an animatic helps in conceptualizing the final animation by giving a low-res, rough version of the scenes, which guides the entire production process in terms of visual design, timing, and storytelling.

Voxyde

22,238 次观看 • 1 年前

I tried Hailuo AI (MiniMax) to see how it handles real content creation. The workflow is simple. You just write a prompt or drop in an image, and it turns that into a dynamic video with motion, framing, and scene depth. No timeline to manage. No editing setup. No back and forth. What stood out to me: • Text to video and image to video both feel smooth. • It handles motion, camera angles, and flow on its own. • Output is fast, usually within seconds. • Works well for reels, quick ads, storytelling, and idea testing. It removes the hardest part: starting from scratch and turns your ideas into content in minutes. Instead of thinking, “How do I make this video?” You start with, “What do I want to create?” That shift alone makes it worth exploring. Try it here: #Hailuo

I tried Hailuo AI (MiniMax) to see how it handles real content creation. The workflow is simple. You just write a prompt or drop in an image, and it turns that into a dynamic video with motion, framing, and scene depth. No timeline to manage. No editing setup. No back and forth. What stood out to me: • Text to video and image to video both feel smooth. • It handles motion, camera angles, and flow on its own. • Output is fast, usually within seconds. • Works well for reels, quick ads, storytelling, and idea testing. It removes the hardest part: starting from scratch and turns your ideas into content in minutes. Instead of thinking, “How do I make this video?” You start with, “What do I want to create?” That shift alone makes it worth exploring. Try it here: #Hailuo

Manish Kumar Shah

27,662 次观看 • 3 个月前

Bali VLOG Seedance 2.0 in Dreamina Prompt: 15-second cinematic Bali travel vlog featuring an extremely beautiful playful sensual Japanese girl, hyperrealistic, energetic Gen-Z travel aesthetic, handheld vlog style, fast-paced editing, vibrant tropical atmosphere, warm cinematic sunlight, realistic skin textures, natural wind movement, chaotic authentic travel energy. Main character appearance: Beautiful Japanese woman with long dark hair, soft natural makeup, playful smile, expressive eyes, sensual but elegant energy. IMPORTANT — outfit consistency across scenes: white bikini top, loose oversized white linen shirt left open, flowy cream-white beach skirt / wrap skirt, light beachwear aesthetic, natural wet-look hair occasionally messy from wind, minimal jewelry. Audio: Starts instantly with soft ASMR whisper close to microphone, then energetic indie rock song kicks in immediately after whisper. Continuous lively tropical ambience underneath music. NO slow motion. Very fast cuts. High-vibes editing. Modern TikTok / Instagram Reel pacing. [00:00 - 00:02] HOOK SHOT. Extreme close-up selfie angle. The girl smiles directly into camera while wind blows her hair. Warm Bali sunlight hitting skin naturally. She whispers softly in Japanese ASMR style: “ねぇ…バリ、一緒に来る？” Immediately after whisper: energetic indie rock music starts hard. Fast camera whip transition. [00:02 - 00:04] Rice terrace running shot. Wide handheld tracking shot following her running barefoot through lush green Bali rice fields. White linen shirt flowing dramatically in the wind. She turns back toward camera laughing playfully. Sound: music, birds, wind through palm trees. [00:04 - 00:06] Temple montage. Fast multi-shots: — close-up of her looking upward at massive Balinese temple gates — sunlight beams through her hair — quick spinning selfie shot — hand brushing ancient stone carvings Dynamic handheld camera movement. [00:06 - 00:08] Beach sequence. Golden hour beach lighting. She sits on sand smiling at camera while ocean waves crash behind her. Quick cuts: — adjusting oversized white shirt — playful splash near shoreline — hair blowing strongly in ocean wind Camera moves constantly. [00:08 - 00:10] Boat ride scene. Fast shaky vlog camera on speedboat. Turquoise water splashing everywhere. Close-up: her laughing while holding hair against strong wind. White bikini top and open shirt remain consistent. Sunlight reflections flicker across lens. [00:10 - 00:12] Night market scene. Handheld walking shot through crowded Bali street market. Colorful lights everywhere. She looks back toward camera holding tropical drink and smiling mischievously. Fast interactions with vendors. Crowd moving dynamically around her. [00:12 - 00:15] Final sunset montage. Rapid energetic cuts: — cliffside sunset overlooking ocean — drinking coconut at café — leaning against tropical stone wall smiling softly — turning toward camera while wind blows shirt dramatically Final shot: she walks away from camera through tropical pathway, then turns back with playful smile. Music peaks emotionally. Visual style: hyperrealistic travel vlog, cinematic handheld camera, natural lighting, warm tropical grading, high-energy edits, authentic influencer aesthetic, dynamic movement, lens flares, slight motion blur from fast camera movement. Negative prompts: slow motion, static shots, low energy, winter clothing, inconsistent outfit, cartoon style, blurry face, stiff posing, empty environments, unrealistic physics.

Bali VLOG Seedance 2.0 in Dreamina Prompt: 15-second cinematic Bali travel vlog featuring an extremely beautiful playful sensual Japanese girl, hyperrealistic, energetic Gen-Z travel aesthetic, handheld vlog style, fast-paced editing, vibrant tropical atmosphere, warm cinematic sunlight, realistic skin textures, natural wind movement, chaotic authentic travel energy. Main character appearance: Beautiful Japanese woman with long dark hair, soft natural makeup, playful smile, expressive eyes, sensual but elegant energy. IMPORTANT — outfit consistency across scenes: white bikini top, loose oversized white linen shirt left open, flowy cream-white beach skirt / wrap skirt, light beachwear aesthetic, natural wet-look hair occasionally messy from wind, minimal jewelry. Audio: Starts instantly with soft ASMR whisper close to microphone, then energetic indie rock song kicks in immediately after whisper. Continuous lively tropical ambience underneath music. NO slow motion. Very fast cuts. High-vibes editing. Modern TikTok / Instagram Reel pacing. [00:00 - 00:02] HOOK SHOT. Extreme close-up selfie angle. The girl smiles directly into camera while wind blows her hair. Warm Bali sunlight hitting skin naturally. She whispers softly in Japanese ASMR style: “ねぇ…バリ、一緒に来る？” Immediately after whisper: energetic indie rock music starts hard. Fast camera whip transition. [00:02 - 00:04] Rice terrace running shot. Wide handheld tracking shot following her running barefoot through lush green Bali rice fields. White linen shirt flowing dramatically in the wind. She turns back toward camera laughing playfully. Sound: music, birds, wind through palm trees. [00:04 - 00:06] Temple montage. Fast multi-shots: — close-up of her looking upward at massive Balinese temple gates — sunlight beams through her hair — quick spinning selfie shot — hand brushing ancient stone carvings Dynamic handheld camera movement. [00:06 - 00:08] Beach sequence. Golden hour beach lighting. She sits on sand smiling at camera while ocean waves crash behind her. Quick cuts: — adjusting oversized white shirt — playful splash near shoreline — hair blowing strongly in ocean wind Camera moves constantly. [00:08 - 00:10] Boat ride scene. Fast shaky vlog camera on speedboat. Turquoise water splashing everywhere. Close-up: her laughing while holding hair against strong wind. White bikini top and open shirt remain consistent. Sunlight reflections flicker across lens. [00:10 - 00:12] Night market scene. Handheld walking shot through crowded Bali street market. Colorful lights everywhere. She looks back toward camera holding tropical drink and smiling mischievously. Fast interactions with vendors. Crowd moving dynamically around her. [00:12 - 00:15] Final sunset montage. Rapid energetic cuts: — cliffside sunset overlooking ocean — drinking coconut at café — leaning against tropical stone wall smiling softly — turning toward camera while wind blows shirt dramatically Final shot: she walks away from camera through tropical pathway, then turns back with playful smile. Music peaks emotionally. Visual style: hyperrealistic travel vlog, cinematic handheld camera, natural lighting, warm tropical grading, high-energy edits, authentic influencer aesthetic, dynamic movement, lens flares, slight motion blur from fast camera movement. Negative prompts: slow motion, static shots, low energy, winter clothing, inconsistent outfit, cartoon style, blurry face, stiff posing, empty environments, unrealistic physics.

Keskin

34,930 次观看 • 1 个月前

Created this by using a movement sheet as a reference image to animate the dance using Seedance 2.0 + ChatGPT image 2.0 on Yapper GPT Image 2.0 Prompt: Dance Sequence Instruction Sheet [VISUAL STYLE] A composition featuring a highly detailed 3D-rendered female dancer. Designed like a professional choreography guide with a technical, diagram-inspired layout. Clean white background, soft studio lighting, and strong contrast to highlight body movement and posture. [GRID LAYOUT] Structured 4×4 panel grid (16 frames total), evenly spaced with thin black divider lines. Each panel is identical in size and clearly numbered from 1 to 16 to show a continuous dance progression. [CHARACTER] Use image1 as the base character. The same female dancer appears consistently across all panels with accurate likeness and proportions. [WARDROBE] The dancer wears a stylish, performance-ready outfit: a well-fitted top paired with a short, flowy skirt. The look should feel modern and visually appealing while still practical for dance movement. Fabric should subtly respond to motion (slight flow and folds), even in grayscale. [PANEL STRUCTURE – EACH FRAME] Top-left: Step number + short dance move title (e.g., “Step 5 – Spin Transition”) Center: Full-body pose capturing a precise moment in the choreography Bottom-left: 3–4 lines of concise instruction describing the move Overlay: Motion arrows and directional guides illustrating how the dancer transitions [MOTION INDICATORS] Incorporate curved arrows for fluid motion, straight arrows for directional steps, and circular indicators for spins or turns. Emphasize rhythm, weight shifts, and body isolation. [RENDER QUALITY] High-detail sculpted 3D style with smooth grayscale shading, subtle shadows, and clean linework. Maintain a polished, concept-art level finish with clarity in every pose. [RESTRICTIONS] No color, no background scenery, no extra characters, no visual clutter, only the dancer and instructional elements.

Created this by using a movement sheet as a reference image to animate the dance using Seedance 2.0 + ChatGPT image 2.0 on Yapper GPT Image 2.0 Prompt: Dance Sequence Instruction Sheet [VISUAL STYLE] A composition featuring a highly detailed 3D-rendered female dancer. Designed like a professional choreography guide with a technical, diagram-inspired layout. Clean white background, soft studio lighting, and strong contrast to highlight body movement and posture. [GRID LAYOUT] Structured 4×4 panel grid (16 frames total), evenly spaced with thin black divider lines. Each panel is identical in size and clearly numbered from 1 to 16 to show a continuous dance progression. [CHARACTER] Use image1 as the base character. The same female dancer appears consistently across all panels with accurate likeness and proportions. [WARDROBE] The dancer wears a stylish, performance-ready outfit: a well-fitted top paired with a short, flowy skirt. The look should feel modern and visually appealing while still practical for dance movement. Fabric should subtly respond to motion (slight flow and folds), even in grayscale. [PANEL STRUCTURE – EACH FRAME] Top-left: Step number + short dance move title (e.g., “Step 5 – Spin Transition”) Center: Full-body pose capturing a precise moment in the choreography Bottom-left: 3–4 lines of concise instruction describing the move Overlay: Motion arrows and directional guides illustrating how the dancer transitions [MOTION INDICATORS] Incorporate curved arrows for fluid motion, straight arrows for directional steps, and circular indicators for spins or turns. Emphasize rhythm, weight shifts, and body isolation. [RENDER QUALITY] High-detail sculpted 3D style with smooth grayscale shading, subtle shadows, and clean linework. Maintain a polished, concept-art level finish with clarity in every pose. [RESTRICTIONS] No color, no background scenery, no extra characters, no visual clutter, only the dancer and instructional elements.

Johnn

54,611 次观看 • 2 个月前