Text to Video
Generates video clips directly from written text prompts, supporting up to 10,000 tokens of context for detailed scene descriptions.
Kling 3.0 Pro is a video generation model developed by Kling, designed to produce video content from both text prompts and image inputs. It represents the 3.0 Pro tier of Kling's video model lineup, with a training cutoff of February 2026 and availability on MindStudio starting March 2026. The model accepts text descriptions, image URLs, and configurable selection parameters to control output characteristics. Kling 3.0 Pro is suited for workflows that require generating video from written descriptions or existing images, making it applicable to content creation, prototyping, and visual storytelling tasks. Its support for both text-to-video and image-to-video modalities gives it flexibility across different starting points for video production. The model operates with a context window of 10,000 tokens, accommodating detailed prompts for more precise video generation.
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Kling 3.0 Pro is a video generation model developed by Kling, designed to produce video content from both text prompts and image inputs. It represents the 3.0 Pro tier of Kling's video model lineup, with a training cutoff of February 2026 and availability on MindStudio starting March 2026. The model accepts text descriptions, image URLs, and configurable selection parameters to control output characteristics.
Kling 3.0 Pro is suited for workflows that require generating video from written descriptions or existing images, making it applicable to content creation, prototyping, and visual storytelling tasks. Its support for both text-to-video and image-to-video modalities gives it flexibility across different starting points for video production. The model operates with a context window of 10,000 tokens, accommodating detailed prompts for more precise video generation.
Generates video clips directly from written text prompts, supporting up to 10,000 tokens of context for detailed scene descriptions.
Animates or extends a provided image URL into a video sequence, using the source image as a visual starting frame.
Accepts multiple select-type inputs at inference time, allowing users to control generation parameters such as duration, aspect ratio, or style.
Uses natural language text input to guide video content, motion, and composition, enabling precise creative direction through descriptive prompting.
Primary API pricing shown in the same “quick compare” spirit as the reference page.
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Description of what to exclude from the video.
Whether sound is generated simultaneously when generating a video.
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Kling 3.0 Pro discussions are most active in r/KlingAI_Videos, r/generativeAI, r/klingO1. Top Reddit threads cluster around benchmark and model-comparison threads.
The strongest match in this snapshot has 35 upvotes and 6 comments.
I compared Seedance 2.0, Kling 3.0 Pro, and Veo 3.1 using the same image-to-video setup.
I generated starting images first and then used those as the first frame for image-to-video. That felt like a cleaner test to me since all 3 models were starting from roughly the same setup instead of inventing completely different shots from scratch.
I ran the comparison in Loova mainly because it was an easier way to test multiple models in a similar workflow, and Seedance 2.0 access is still not that easy to find in one place.
I tested 3 different stylized / anime-like shots and mainly looked at visual quality, motion, transitions, and overall consistency once the clip actually started moving.
My take from this test:
* **Best visual quality:** Seedance 2.0
* **Best motion:** Kling 3.0 Pro
* **Best transitions:** Seedance 2.0
* **Most consistent overall:** Seedance 2.0
Biggest pattern for me was that Kling 3.0 Pro often felt more aggressive in motion, which worked well for action-heavy shots. But Seedance 2.0 gave me the cleaner result overall. The visuals felt more polished, the transitions were smoother, and it was the one I’d be most comfortable actually using as a final output.
Veo 3.1 was still interesting to include, but in this round it didn’t end up taking the top spot in any of those categories for me.
Would be curious if other people here got similar results.
Used GPT Image 2 to generate the base portrait and animated it with Kling 3.0 Pro for the underwater cinematic motion.
The goal was making the scene feel emotionally quiet and surreal instead of looking like a typical AI beauty shot.
1. Go to the [**Kling AI Video Generator**](https://imageat.com/ai-video-generator)
2. Write your full prompt or add reference images
3. Upload the image you want to animate
4. Click **Generate** and get your animated video
# GPT Image 2.0 Prompt:
"Hyper-realistic, ultra-detailed close-up portrait showing only the left half of my face submerged in water, one eye in sharp focus, positioned on the far left of the frame, light rays creating caustic patterns on the skin, suspended water droplets and bubbles adding depth, cinematic lighting with soft shadows and sharp highlights, photorealistic textures including skin pores, wet lips, eyelashes, & subtle subsurface scattering, surreal and dreamlike atmosphere, shallow depth of field, underwater macro perspective."
A few things that helped a lot:
* Keeping only half the face visible made the composition feel more cinematic
* Caustic light patterns added realistic underwater depth
* Macro-style framing helped the eye become the emotional focus
* Kling 3.0 Pro handled subtle water movement and drifting particles surprisingly well
* Soft motion works much better than aggressive camera movement for this style
For animation, I used:
* very slow camera drift
* tiny floating particles/bubbles
* subtle eye movement
* soft breathing motion
* minimal facial expression changes
The final result feels somewhere between a perfume commercial and a sci-fi dream sequence.
I’ve been testing **Kling 3.0 Pro**, and this one genuinely surprised me.
Instead of going big (explosions, action, etc.), I tried a **tight, dialogue-driven psychological scene** — just two characters, one kitchen, and pure tension.
What stood out:
* The **micro-expressions** (eyes, lips, hesitation)
* The **awkward silence pacing**
* The way the camera slowly pushes in like a real thriller film
* That final shot… feels straight out of a Netflix drama
It honestly feels closer to:
* *Black Mirror* style tension
* *Gone Girl* relationship paranoia
* *Marriage Story* argument intensity (but darker)
What’s crazy is this is fully AI-generated from a structured prompt.
1. Go to the [**Kling 3.0 AI Video Generator**](https://imageat.com/ai-video-generator)
2. Write your full prompt or add reference images
3. Upload any image you want to animate
4. Click **Generate** and get your video
# Prompt:
"Cinematic style: Dark, moody kitchen lit by a single overhead pendant light. Handheld camera, shallow depth of field. Color grade: desaturated with cold blue-green tones. Two actors, late 20s-early 30s. Tense, intimate, thriller tone. SHOT 1 (0:00–0:03) — CLOSE-UP, Sarah's eyes: Tight close-up of Sarah's face from the nose up. Her eyes widen slightly with fear. She says flatly: "You went through my phone." Kitchen background softly blurred. Subtle camera drift to the right. SHOT 2 (0:03–0:05) — OVER-THE-SHOULDER, Mark: Camera behind Sarah's shoulder, focused on Mark standing across the kitchen island. His jaw is tight. He holds up her phone and says coldly: "You gave me a reason to." He sets the phone down with a deliberate tap on the counter. SHOT 3 (0:05–0:08) — MEDIUM TWO-SHOT, side profile: Both characters framed in profile facing each other across the counter, pendant light hanging between them. Sarah swallows hard and asks: "What did you find?" Mark responds: "Nothing. That's what scares me. You deleted everything." Slight push-in on the camera. SHOT 4 (0:08–0:12) — CLOSE-UP, Sarah's mouth and chin: Extreme close-up of Sarah's trembling lips. A tear catches the light on her chin. Her voice cracks: "I was protecting you." Mark's voice off-screen: "From what?" She whispers: "From what I almost did." SHOT 5 (0:12–0:15) — WIDE SHOT, kitchen doorway: Static wide shot from behind Sarah. Mark stares at her for one beat, then turns and walks through the dark doorway, disappearing into shadow. The phone sits on the counter glowing faintly. Sarah stands alone under the light. Silence. Cut to black."
We’re getting to a point where you can generate **festival-level short film scenes** without actors or cameras.
Curious what this reminds you of and any movies/series with this kind of energy?
👉 [Instagram ](https://www.instagram.com/ghostcartoonsnetwork/) 👈
I am testing out Kling 3.0 in Higgsfield. What a lovely AI generative video model. This is my first try.
Nano Banana Pro Prompt
"A graceful figure skater performing at the Olympic Games, spinning elegantly on ice under bright arena lights. The athlete wears a sparkling costume with flowing fabric that catches the light. Dynamic camera movement following the skater's rotation. Smooth, fluid motion with hair and costume moving naturally. Olympic rings visible in the background. Professional sports photography style, cinematic lighting, ice particles spraying from skates."
Kling 3.0 Prompt
"A female figure skater in a sparkly navy blue dress performs a graceful spin at the Olympic ice rink. Her arms extend elegantly outward as she rotates smoothly on the ice. The sheer sleeves and flowing skirt of her costume flutter gently with the spinning motion. Ice particles spray subtly from her white skates. Dramatic arena lighting illuminates her from above while the crowd remains softly blurred in the background. The Olympic rings and Beijing 2022 branding are visible on the rink boards. Smooth, fluid rotation with natural fabric movement. Cinematic sports photography style, professional broadcast quality."
What do you think?
Kling 3.0 Pro has a context window of 10,000 tokens, which applies to the text prompt input used to guide video generation.
The model accepts image URLs, text prompts, and multiple select-type parameters, supporting both text-to-video and image-to-video generation workflows.
Kling 3.0 Pro has a training date of February 2026, meaning its knowledge and visual capabilities reflect data available up to that point.
No API key is required to use Kling 3.0 Pro on MindStudio. The model is accessible directly through the MindStudio platform.
In text-to-video mode, the model generates a video solely from a written prompt. In image-to-video mode, a provided image URL serves as the visual starting point, which the model then animates or extends into a video sequence.
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