
Kling O1 is Kuaishou's video model family built with Multi-modal Visual Language technology. Its text-to-video and image-to-video workflows connect language and visual context to create seamless scene dynamics from prompts or source images. Atlas Cloud provides both modes through a ready-to-use REST API with no cold starts and transparent pay-as-you-go pricing. Start building today.
Kling o1 is developed by Kuaishou. Atlas Cloud (operated by Atlas Cloud AI LLC) provides access to it and does not own it. All trademarks belong to their respective owners.
Compare Kling O1 text and image workflows to choose the right video generation endpoint for your project.
| Modality | Description |
|---|---|
| Kling O1 T2V API (Text To Video) | Turn text prompts into cinematic videos with the Kling O1 Text to Video endpoint. Its MVL technology supports precise semantic understanding, consistent subjects, and natural physics simulation. Use it for story concepts, product narratives, and scenes directed through text. |
| Kling O1 I2V API (Image To Video) | Starting with a static image, the Kling O1 Image to Video endpoint creates a dynamic cinematic video. It preserves subject consistency while adding natural motion, physics simulation, and seamless scene dynamics. This workflow suits image animation, visual storytelling, and cinematic scene development. |
Kling O1 combines text-to-video and image-to-video generation with subject consistency, natural physics, precise prompt understanding, first and last frame control, flexible 5 or 10 second timing, three aspect ratios, and ready-to-use Atlas Cloud REST access at transparent usage-based pricing.
Kling O1 turns text prompts or a source image into cinematic video through Atlas Cloud's dedicated text-to-video and image-to-video endpoints. Its MVL architecture interprets scene intent across language and visual input. Choose the mode that matches your starting asset without changing the underlying model family. This flexibility suits teams moving from early concepts to animated campaign or story shots.
The model keeps subjects recognizable as action unfolds, even while the camera moves and the scene develops. Image-to-video generation carries the source image's visual identity into motion, while text-to-video builds coherent characters from the prompt. Stable subjects reduce distracting shifts between frames. Use this strength for character-led stories, product shots, and sequences where visual continuity matters.
Natural physics simulation gives motion weight, momentum, and believable interaction with the surrounding scene. Kling O1 animates people, objects, and environmental elements with dynamics that feel connected rather than pasted together. Pair explicit action cues with camera direction in the prompt. The result fits sports, food, nature, and action footage where movement quality carries the shot.
Start with one image, or supply an optional last image to define where the motion should finish. Atlas Cloud's image-to-video schema supports 5 or 10 second clips, giving short beats and longer transitions clear pacing choices. The model synthesizes movement between visual states under prompt guidance. This control is well suited to product reveals, transformations, and compact narrative arcs.
Precise semantic understanding lets Kling O1 translate detailed prompts into subjects, actions, scene dynamics, and cinematic camera movement. Set the framing with 16:9, 9:16, or 1:1 output, then describe motion and atmosphere in natural language. Complex direction becomes a structured generation request rather than manual animation. This makes the model useful for social clips, storyboards, and polished visual concepts.
Build through Atlas Cloud's unified REST API for both text-to-video and image-to-video generation. Atlas Cloud lists no cold starts and charges the standard rate of $0.112 per output second, with usage based on generated duration. Submit prompts, source frames, timing, and aspect ratio as structured parameters. This setup gives developers predictable cost and direct integration for production video workflows.
See how Kling O1, Seedance 2.0, and Kling V3.0 Turbo interpret the same two prompts across cinematic realism, motion continuity, physical interaction, and stylized storytelling.
Create a 10-second photorealistic cinematic video of a golden retriever carrying a bouquet through a crowded flower market at sunrise. Begin with a low-angle tracking shot as the dog races across wet cobblestones, scattering petals and weaving between moving carts. Whip pan to the flower seller chasing from behind, then orbit the dog as it leaps over a fallen basket and lands naturally. Finish with a rapid push-in as the dog stops beside a child, offers the bouquet, and the laughing seller catches up. Warm backlight, realistic fur, cloth and petal physics, continuous energetic motion, 16:9 aspect ratio.
Generated with Kling Video O1 Text-to-Video on Atlas Cloud
Generated with Seedance 2.0 Text-to-Video on Atlas Cloud
Generated with Kling V3.0 Turbo Text-to-Video on Atlas Cloud
Create an 8-second stylized clay stop-motion video inside a moonlit bakery where a tiny fox chef prepares a magical pastry. Open with an overhead crane shot as the fox spins dough, tosses berries, and dodges bouncing utensils. Cut to a countertop tracking view while the pastry races into the oven and begins glowing. Circle rapidly around the fox as the oven bursts open and a miniature pastry dragon flies out, loops through drifting flour, and lands on the chef's hat. Handmade clay textures, expressive movement, playful blue and amber lighting, seamless action continuity, 16:9 aspect ratio.
Generated with Kling Video O1 Text-to-Video on Atlas Cloud
Generated with Seedance 2.0 Text-to-Video on Atlas Cloud
Generated with Kling V3.0 Turbo Text-to-Video on Atlas Cloud
From prompt driven cinematic concepts to animated product imagery, Kling O1 gives filmmakers, marketers, commerce teams, and app builders practical paths from text or still frames to consistent, physics aware video.
Turn detailed prompts into cinematic sequences with precise semantic understanding and natural physics. Filmmakers and previsualization teams can explore mood, action, and camera ideas before committing resources to costly live production.
Animate a static product image while preserving its subject and adding seamless scene dynamics. Commerce teams can turn catalog visuals into polished motion assets for launches, storefronts, and campaign creatives.
Start with a written concept, then generate cinematic videos whose motion follows natural physics. Social teams gain fresh visual directions for announcements, seasonal campaigns, and rapid channel specific creative testing.
Translate narrative prompts into coherent moving scenes through precise semantic understanding. Directors, agencies, and game studios can visualize character action, environmental motion, and cinematic atmosphere during early creative development and planning.
Give a still portrait natural motion while the Kling O1 image mode maintains subject consistency. Creators can produce expressive profile videos, character introductions, and visual storytelling assets from existing artwork.
When a prompt describes complex movement, Kling O1 applies natural physics simulation and precise semantic understanding. Action designers and concept teams can preview dynamic scenes with believable motion before production begins.
Compare Kling O1 with other Atlas Cloud video models by provider, generation mode, model ID, and standard catalog pricing.
| Model | Provider | Generation Mode | Atlas Model ID | Listed Base Price |
|---|---|---|---|---|
| Kling Video O1 Text-to-video | Kuaishou | Text to Video | kwaivgi/kling-video-o1/text-to-video | $0.112, unit not listed |
| Kling Video O1 Image-to-video | Kuaishou | Image to Video | kwaivgi/kling-video-o1/image-to-video | $0.112, unit not listed |
| Seedance 2.0 Text-to-Video | ByteDance | Text to Video | bytedance/seedance-2.0/text-to-video | $0.112, unit not listed |
| Wan-2.7 Image-to-video | Qwen | Image to Video | alibaba/wan-2.7/image-to-video | $0.10, unit not listed |
| Veo 3.1 Lite Text-to-video | Text to Video | google/veo3.1-lite/text-to-video | $0.05, unit not listed | |
| MiniMax H3 Image-to-Video | MiniMax | Image to Video | minimax/h3/image-to-video | $0.038 per second |
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Combining the advanced Kling o1 models with Atlas Cloud's GPU-accelerated platform provides unmatched performance, scalability, and developer experience.
Low Latency:
GPU-optimized inference for real-time reasoning.
Unified API:
Run Kling o1, GPT, Gemini, and DeepSeek with one integration.
Transparent Pricing:
Predictable per-token billing with serverless options.
Developer Experience:
SDKs, analytics, fine-tuning tools, and templates.
Reliability:
99.99% uptime, RBAC, and compliance-ready logging.
Security & Compliance:
SOC 2 Type II, HIPAA alignment, data sovereignty in US.
Kling O1 is Kuaishou's unified multimodal video model built with Multi-modal Visual Language technology. On Atlas Cloud, the verified family includes text-to-video and image-to-video endpoints. It focuses on semantic prompt understanding, subject consistency, and natural physics simulation.
Use text-to-video to turn written scene directions into cinematic clips, or animate a source image through the image-to-video mode. Both endpoints support workflows that benefit from coherent subjects, controlled motion, and realistic scene dynamics.
Choose text-to-video when your project begins with a written scene description. Select image-to-video when an existing image should establish the subject, composition, or first frame before motion is added.
Send an authenticated POST request to https://api.atlascloud.ai/api/v1/model/generateVideo with your selected model ID and inputs. Use kwaivgi/kling-video-o1/text-to-video or kwaivgi/kling-video-o1/image-to-video, then retrieve the result with the returned prediction ID.
For text-to-video, provide a prompt and use the documented aspect ratio and duration controls. Image-to-video requires prompt and image, while last_image is optional. Its verified aspect ratios are 16:9, 9:16, and 1:1, with 5 or 10 second durations.
Atlas Cloud lists a standard price of $0.112 per second for both verified video endpoints. Billing scales with the requested output duration, so a 10 second generation costs twice as much as a 5 second generation at the standard rate.
Generation begins with a POST request that returns a prediction ID and processing status. Poll https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id} until the task completes or fails. A successful response places the generated video URL in the outputs array.
Subject consistency is a documented capability of both available modes, and image-to-video uses the source frame to anchor visual identity and composition. Results can still vary with input quality and prompt complexity, so clear source images and explicit motion instructions are advisable.
Not among the two Atlas Cloud endpoints verified for this family page. The current selection covers text-to-video and image-to-video, so Elements, reference video, and editing parameters should not be submitted unless Atlas Cloud publishes a compatible endpoint and schema.
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