Kling 3.0 Series Overview (Limited Time Offer!)
We are thrilled to announce that the next generation of native multimodal large models—The Kling Video 3.0 Series—is now officially available on Atlas Cloud.
This release marks Kling’s official entry into the "3.0 Era," introducing two flagship models:
- Kling Video 3.0
- 💰Start from $0.07/sec; Back to $0.10/sec in 7 days
- Kling Video O3 / 3.0 Omni
- 💰Start from $0.126/sec; Back to $0.18/sec in 7 days
By deeply integrating high-fidelity video generation, native audio-visual synchronization, and intelligent storyboarding capabilities, this series injects unprecedented power and competitiveness into the Kling model family.

Key Highlights: 3 Revolutionary Technologies Unlocking Creative Freedom
Powered by Kling 3.0 (Upgraded from Kling 2.6)
Intelligent Cinematic Storytelling
- AI Director System: Introduces an "AI Director" that intuitively grasps the narrative flow from prompts, automatically orchestrating shot composition and camera angles to achieve advanced cinematic techniques like shot-reverse-shot dialogue sequences.
- Extended Duration: Breaks previous time limits, supporting continuous video generation of up to 15 seconds, allowing for smoother and more natural narrative progression.
- Core Value: Delivers mature visual storytelling in a single generation, making complex cinematic expression accessible to every creator.
Multilingual Audio-Visual Sync & High-Fidelity Text
- Global Lip-Sync: Achieves precise mapping between text and visual characters, supporting mixed-language dialogue (Chinese, English, Japanese, Korean, Spanish, etc.) and dialects with natural, fluid lip-syncing.
- Text Rendering: Whether preserving original image details or generating new content, it ensures clear, legible text with structurally rigorous rendering.
- Core Value: Directly meets the needs of e-commerce and global marketing for high-fidelity text display and localized content production.
Powered by Kling O3 (3.0 Omni; Upgraded from Kling O1)
Professional-Grade Subject Consistency
- Video Subjects: Supports extracting character features from uploaded or shot 3–8 second videos, perfectly restoring the character’s appearance, physique, and aura.
- Image Subjects + Voice Cloning: Enables the creation of multi-view subjects from multiple images, while simultaneously supporting vocal timbre extraction from uploaded audio.
- Enhanced Performance: Compared to previous generations, 3.0 Omni is significantly more responsive to text instructions, reducing visual artifacts and delivering more vivid, lifelike generation.
- Core Value: Unlocks the creative thrill of "starring in your own movie," making it ideal for short dramas and serial content requiring high character consistency.
Best For: AI Directing, Cross-Border Multilingual Marketing & High-Consistency Short Dramas
Cinematic Storytelling · AI Director Smart Storyboarding(Kling Video 3.0)
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Scenario: Developing short films with complex dialogue and emotional depth.
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Prompt: "Two characters arguing in a rainy alleyway, rich emotional facial expressions, switching between close-ups and wide shots."
Global Marketing & Advertising · Multilingual(Kling Video 3.0)
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Scenario: Producing localized video ads with brand-consistent text.
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Prompt: "A commercial for a new coffee brand, background featuring a neon sign displaying 'Atlas Brew', professional bilingual voiceover."
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Outcome: High-fidelity text rendering with natural audio-visual synchronization.
Social Media & Short Dramas · High Consistency(Kling Video O3)
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Scenario: Creating coherent short dramas with multi-shot transitions and specific character interactions.
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Prompt:
- "Shot 1 (3s): Medium shot, background is @image. @Grace is sitting on the sofa eating cookies. @Alan walks into the room leading a @Samoyed. The @Samoyed lunges at the cookies in @Grace's hand. @Grace says: 'Hey! Watch your dog!'
- Shot 2 (2s): @Alan sits nearby, holding the leash, picks up the @Samoyed. Close-up. @Alan says: 'He just likes cookies more than me.'
- Shot 3 (3s): Close-up. @Grace smiles and says: 'Well, he has good taste at least.'"
Atlas Cloud: The Best way to Master Kling Video 3.0
Atlas Cloud Core Advantages
Cost Efficiency & Extreme Speed
- Competitive Pricing: We provide the most cost-effective generation experience through optimized price-performance ratios.
- One Platform, All Models: Experience different mainstream models without hopping between platforms. Register now to get $1 free credit!
Workflow Integration & API Ecosystem Designed to seamlessly fit into technical development pipelines and support downstream tasks.
- Flexible Workflows: Support parallel collaboration with other generative models in the same environment.
- Actionable Deliverables: Generated results are ready for immediate post-processing or secondary editing.
- Full API Access: Provides standard developer interfaces for business process automation and deep application integration.
How to Use Kling 3.0 on Atlas Cloud
Atlas Cloud lets you use models side by side — first in a playground, then via a single API.
Method 1: Use directly in the Atlas Cloud playground
Method 2: Access via API
Step 1: Get your API key
Create an API key in your console and copy it for later use.


Step 2: Check the API documentation
Review the endpoint, request parameters, and authentication method in our API docs.
Step 3: Make your first request (Python example)
Example: generate a video with Kling v3.0 std(Image-to-Video)
plaintext1import requests 2import time 3 4# Step 1: Start video generation 5generate_url = "https://api.atlascloud.ai/api/v1/model/generateVideo" 6headers = { 7 "Content-Type": "application/json", 8 "Authorization": "Bearer $ATLASCLOUD_API_KEY" 9} 10data = { 11 "model": "kwaivgi/kling-v3.0-std/image-to-video", 12 "cfg_scale": 0.5, 13 "duration": 5, 14 "end_image": "example_value", 15 "image": "https://static.atlascloud.ai/media/images/33f6728e234eddd53aac4bc74f8dc6ff.jpg", 16 "negative_prompt": "example_value", 17 "prompt": "A minimal cube slowly moving in a dark void.\nSoft ambient lighting highlights its clean edges.\nSmooth, steady motion with a seamless loop.\nHigh contrast, ultra clean composition, 4K.", 18 "sound": False 19} 20 21generate_response = requests.post(generate_url, headers=headers, json=data) 22generate_result = generate_response.json() 23prediction_id = generate_result["data"]["id"] 24 25# Step 2: Poll for result 26poll_url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" 27 28def check_status(): 29 while True: 30 response = requests.get(poll_url, headers={"Authorization": "Bearer $ATLASCLOUD_API_KEY"}) 31 result = response.json() 32 33 if result["data"]["status"] in ["completed", "succeeded"]: 34 print("Generated video:", result["data"]["outputs"][0]) 35 return result["data"]["outputs"][0] 36 elif result["data"]["status"] == "failed": 37 raise Exception(result["data"]["error"] or "Generation failed") 38 else: 39 # Still processing, wait 2 seconds 40 time.sleep(2) 41 42video_url = check_status()





