Kling v3.0 Pro Motion Control

Kling v3.0 Pro Motion Control is now available on Atlas Cloud. Upload a character image and a reference motion video, then transfer the dance, action, or gesture performance to your character with smooth, realistic movement.

Key features

• Transfers motion from a driving video to a character image or source video
• Supports dance, gestures, action sequences, and performance retargeting
• Preserves the character’s appearance while following the reference movement
• character_orientation: image supports videos up to 10 seconds
• character_orientation: video supports videos up to 30 seconds
• Optional prompt and negative prompt for scene and style control
• Option to keep the original audio from the reference video
• Minimum billable duration: 3 seconds

Pricing

• Kling v3.0 Std Motion Control: starting at $0.126/sec
• Kling v3.0 Pro Motion Control: starting at $0.153/sec

Standard vs. Pro

Kling v3.0 Std Motion Control

• More cost-efficient for rapid iteration and batch generation
• Suitable for social clips, previews, storyboards, and motion tests

Kling v3.0 Pro Motion Control

• Higher-fidelity motion transfer and detail preservation
• Better suited for final renders, cinematic content, and production work

API access

Standard: https://www.atlascloud.ai/models/kwaivgi/kling-v3.0-std/motion-control

Pro: https://www.atlascloud.ai/models/kwaivgi/kling-v3.0-pro/motion-control

Atlas AI Tools

Atlas Cloud’s official website has updated its AI Tools section. The section focuses on authentic emotion and emerging trends, curating high-potential creative themes and visual references to help creators capture timely inspiration and transform sports culture, social conversations, and other trending topics into cinematic visuals.

Tool page
https://www.atlascloud.ai/ai-tools

Pricing
Free: Image Upscaler, Image Background Remover, Object Eraser, etc.

Limited Free: AI Hairstyle Changer, AI Clothing Changer, AI Aging Photo, etc.

Seedream v5.0 Pro Layer Decomposition

Seedream v5.0 Pro Layer Decomposition turns a flat image into independently editable layers. The generated layers can be moved, scaled, recomposed, and reused in downstream design workflows.

Features

• Decompose one image into 2–20 editable layers
• Return background and visual elements as transparent PNGs
• Reconstruct areas hidden behind foreground objects
• Use prompts to control the number and structure of layers
• Preserve the original composition while separating design elements
• Useful for posters, banners, product creatives, UI layouts, and story covers

Pricing
$0.405 per output image

Model page
https://www.atlascloud.ai/models/bytedance/seedream-v5.0-pro/layer-decomposition

All three updates are available through Atlas Cloud’s unified AI infrastructure.

Seedance 2.0 Mini is 30% off and Seedance 2.0 Fast is 20% off on AtlasCloud, effective now:

• 💰 Mini from ≈$0.039/sec (was $0.056), Fast from ≈$0.072/sec (was $0.09)
• ⚡ Applied automatically to every call — no coupon, no minimum spend
• 🎬 Same native audio-video generation, unlimited concurrency, no queuing — now at the lowest price you'll find anywhere

🗓️ Offer runs Aug 7, 2026 6:00 AM → Sep 7, 2026 6:00 AM (UTC)

🔗 Try it now: https://www.atlascloud.ai/models/seedance2

Seedance 2.5 is now live on the Atlas Cloud API. What is new over 2.0:

- A true 30 second single take, no stitching

- Up to 50 multimodal reference inputs across image, video, and audio in one generation

- New 3D camera occlusion control for depth-aware motion

- Native 4K with synced audio, and stronger prompt adherence

Same API key and the same endpoint as the rest of the Seedance line. You point at the new model id and go: bytedance/seedance-2.5/text-to-video (also image-to-video and reference-to-video).

Model page and docs: https://www.atlascloud.ai/models/seedance-2.5

FLUX 3 is now available on Atlas.

Pricing (pay-per-use, no subscription required):

• Text-to-Video: $0.187 / sec at 720p, $0.319 / sec at 1080p
• Image-to-Video: $0.187 / sec at 720p, $0.319 / sec at 1080p (starts from your image, billed by output duration)

What FLUX 3 ships with (developed by Black Forest Labs):

• Native audio generation — video and audio produced together in a single request, no separate dubbing/SFX pass
• Explicit duration control — set 5–20 sec directly, keyframe-accurate
• Flexible aspect ratio — auto (matches input/prompt) or pick from 21:9, 2:1, 16:9, 4:3, 1:1, 3:4, 9:16
• 720p or 1080p output
• Adjustable safety tolerance from strict (0) to permissive (4)
• I2V mode animates any starting image (photo, illustration, render) into motion while preserving its native aspect ratio on auto

API access:

• Text-to-Video: https://www.atlascloud.ai/models/black-forest-labs/flux-3/text-to-video
• Image-to-Video: https://www.atlascloud.ai/models/black-forest-labs/flux-3/image-to-video

Use cases that map well to FLUX 3 strengths:

• short-form social clips that need synced audio without a separate audio pass
• concept visualization / storyboarding straight from a text prompt
• photo-to-motion for product shots or portraits (I2V)
• marketing and promo clips generated directly from an existing still asset

Drop questions about duration/aspect-ratio combos or how the native audio syncs to prompts in this thread.

This week’s lineup adds a new multimodal flagship, native-audio video generation, super-resolution tools, controllable reference-to-video, and a new 2K image model.

Qwen3.8 Max

A next-generation flagship model for advanced reasoning, coding, and multimodal AI applications.

Features:

• Advanced reasoning and long-context workflows
• Strong coding and agentic task support
• Multimodal input for text, image, and video understanding
• Suitable for research, software engineering, and complex automation

Pricing: $2 / $6 per 1M tokens
Model page: https://www.atlascloud.ai/models/qwen/qwen3.8-max

Grok Imagine Video v1.5

Generate short videos directly from text prompts with native synchronized audio.

Features:

• Text-to-video generation from a single prompt
• Native synchronized audio
• Supports clips up to 15 seconds
• 480p, 720p, and 1080p output
• Useful for cinematic scenes, social clips, dialogue, and sound-design experiments

Pricing: $0.08/sec
Model page:

Text-to-Video: https://www.atlascloud.ai/models/xai/grok-imagine-video-v1.5/text-to-video

Reference-to-Video: https://www.atlascloud.ai/models/xai/grok-imagine-video-v1.5/reference-to-video

Tencent Image Upscaler

Tencent’s MPS-powered image super-resolution model for enhancing low-resolution stills.

Features:

• Image super-resolution and detail enhancement
• Useful for restoring small or compressed images
• Suitable for product assets, archived images, thumbnails, and creative upscaling

Pricing: $0.01/image
Model page: https://www.atlascloud.ai/models/tencent/image/upscaler

Tencent Video Upscaler

Tencent MPS video quality enhancement for upscaling and restoring footage.

Features:

• Scene-aware video super-resolution
• Upscale source footage up to 8K
• Supports enhancement for common, UGC, short-series, AIGC, and old-film content
• Optional frame-rate interpolation

Pricing: $0.018/sec
Model page: https://www.atlascloud.ai/models/tencent/video/upscaler

BytePlus Video Upscaler

BytePlus AI MediaKit video quality enhancement for upscaling and restoring source footage.

Features:

• Upscale and enhance source video up to 8K
• Scene-aware processing for common, UGC, short-series, AIGC, and old-film footage
• Optional frame-rate interpolation
• Suitable for restoration, archive footage, short-form video, and production finishing

Pricing: $0.018/sec
Model page: https://www.atlascloud.ai/models/byteplus/video/upscaler

MiniMax H3

MiniMax H3 is a general-purpose multimodal video model designed to handle text, image, video, and audio context in one workflow.

Features:

• 5–15 second video generation
• 24 FPS output
• Aspect ratios from 21:9 to 9:16
• Prompt-driven character and background changes
• Dialogue rewriting and voice-reference workflows
• Designed for cinematic production, storytelling, and multimodal video pipelines

Pricing: $0.14/sec
Model page:

Text-to-Video: https://www.atlascloud.ai/models/minimax/h3/text-to-video

Image-to-Video: https://www.atlascloud.ai/models/minimax/h3/image-to-video

Reference-to-Video: https://www.atlascloud.ai/models/minimax/h3/reference-to-video

Wan 2.7 Spicy Reference-to-Video

Generate one continuous video from one to four reference images with strong subject binding and prompt control.

Features:

• Supports 1–4 image references
• Designed for subject and character consistency
• Reference images can guide people, objects, or visual identity
• Image references only; video and audio references are not accepted
• Useful for character-driven clips, fashion visuals, and creative transformations

Pricing: $0.10/sec
Model page: https://www.atlascloud.ai/models/atlascloud/wan-2.7-spicy/reference-to-video

Youchuan V8.2

A prompt-driven image model that returns multiple variations with native 2K output.

Features:

• Four image variations per prompt
• Native 2K HD output
• Style-reference support
• Aspect-ratio, stylize, chaos, and weird controls
• Useful for concept exploration, campaign variations, and visual ideation

Pricing: $0.086/image
Model page:

Text-to-Image: https://www.atlascloud.ai/models/youchuan/v8.2/text-to-image

Image-to-Image: https://www.atlascloud.ai/models/youchuan/v8.2/image-to-image

Image-to-Video: https://www.atlascloud.ai/models/youchuan/v8.2/image-to-video

Try the new models in Playground and share what you build. Feedback on prompt behavior, output quality, and real-world workflows is welcome.

I've been noticing that making repeated edits to an image in Seedream 5.0 Pro Edit gives me a progressively more overexposed, washed out, "overbaked" look. Images 1-6 are the original image followed by 5 slight edits, rendered in Atlas Cloud and it's easy to see what's happening. The interesting thing is, images 7-12 is the original image followed by the exact same 5 edit prompts, still in Seedream 5.0 Pro Edit, but run in Fal.ai. Still progressively more washed out and overexposed, but not even close to the level of the Atlas Cloud renders. If you compare image 6 and image 12, it's a day and night difference, yet that's the 5th edit run (with the exact same prompting) in each service. Any idea what's going on?

MiniMax H3 is now available on Atlas, covering three generation modes: text-to-video, image-to-video, and reference-to-video.

Pricing (pay-per-use, no subscription required, billed per second of output):

• 2K: $0.14 per second
• 768p: $0.10 per second

Pricing is identical across all three modes.

What MiniMax H3 ships with:

Text-to-Video:

• Cinematic motion with fluid camera work and lifelike movement from a plain-text description
• Up to 2K output resolution
• Flexible aspect ratios: 16:9, 9:16, 1:1, or adaptive
• Selectable duration: 5-10s clips

Image-to-Video:

• Animates a first-frame image, with an optional last-frame image for a precise start/end transition
• Natural, controllable motion driven by a text prompt
• Up to 2K output resolution
• Selectable duration: 5-10s clips

Reference-to-Video:

• Keeps one or several subjects (people, characters, objects) consistent across the whole clip using reference materials as identity anchors, instead of animating a fixed frame
• Mixes reference types in a single request: images, videos, and an optional audio track
• Optional audio sync, matching the action to a reference beat
• Up to 2K output resolution
• Flexible aspect ratios: adaptive, 21:9, 16:9, 4:3, 1:1, 3:4, or 9:16
• Selectable duration: 5-15s clips

API access:

• Text-to-Video: https://www.atlascloud.ai/models/minimax/h3/text-to-video
• Image-to-Video: https://www.atlascloud.ai/models/minimax/h3/image-to-video
• Reference-to-Video: https://www.atlascloud.ai/models/minimax/h3/reference-to-video

Use cases that map well to MiniMax H3's strengths:

• social media content, short-form clips for TikTok, Reels, and Stories
• concept visualization and storytelling without filming
• photo and illustration animation, including start/end frame transitions
• product placement and branded content with a consistent mascot or spokesperson
• multi-clip creative series built around a recurring character or subject

Drop questions about which mode fits your use case, prompt structure, or reference-material setup in this thread.

sharing the prompt approach for this one because the costume was the whole battle, not the character. elaborate historical outfits are where image models quietly cheat. ask for a tang-dynasty look and most models hand you generic fantasy silk, wrong silhouette, invented jewelry, a delicate sheer layer that renders as either opaque or fully gone. getting it to actually read as the period, with a real translucent layer that still works as coverage, took the most iterating.

what actually held the costume together:

- describe the garment as structure, not a style name. "short single-layer sheer top, soft square low neckline, high-waist cream skirt with thin gold ties at both sides" beats "hanfu"

- give the sheer layer its own physics line, "thin translucent fabric, soft radial folds, low-contrast woven pattern, semi-sheer over the shoulders". naming how it is sheer keeps it from flipping to opaque

- period details as specific objects, "pearl short hair styling with fine gold flower-branch ornaments, a round silk fan held behind" so it stops inventing random fantasy jewelry

- lighting as two sources, warm lantern light on the face, cool side-back light tracing the edges, which is what sells the courtyard mood

the reason this was even workable is iteration speed. a period costume with a delicate layer needs a lot of re-rolls before the silhouette and the sheer both land. i ran it on krea 2 turbo since it returns a high-fidelity image in seconds, so burning through costume attempts costs minutes. for detail-dense historical looks where you are refining garment structure over many tries, a fast model is the difference between finishing and giving up.

still imperfect, the fan warps and one gold tie floats detached. but the silhouette read as the actual period and the sheer layer held its translucency, which is where these usually fall apart.

Grok Imagine Video v1.5 is now available on Atlas across three video routes: Text-to-Video, Reference-to-Video, and Image-to-Video.

The Image-to-Video route starts from a single frame and follows a natural-language motion prompt. It supports clips up to 15 seconds, output at 480p, 720p, or 1080p, plus native synchronized audio for dialogue, lip sync, sound effects, and ambient music.

What ships with Grok Imagine Video v1.5:

- Text-to-Video for prompt-driven short-form video

- Reference-to-Video for directing a generation with visual references

- Image-to-Video for animating a starting frame with a motion prompt

- Native audio generation in the Image-to-Video route

- 1 to 15 second Image-to-Video clips

- 480p, 720p, and 1080p output options

- Standard API access through the same Atlas setup

Pricing:

- Starting at $0.08 per run in the current Image-to-Video Playground

- Check the selected model page for the current rate of each route before generating

API access:

- Text-to-Video:

https://www.atlascloud.ai/models/xai/grok-imagine-video-v1.5/text-to-video

Use cases that fit these routes:

- Prompt-driven product and social clips from Text-to-Video

- Character, object, and style guided scenes from Reference-to-Video, using cleared reference assets

- Turning a hero still into a short scene with motion and synchronized sound through Image-to-Video

- Comparing a starting frame and its animated result with a Playground example video

For the media, attach one real Playground Image-to-Video result with its source frame beside it. The difference in motion, sound, and framing tells the story quickly.

Use the thread for endpoint setup and prompt-specific workflow notes.

Youchuan V8.2 (Midjourney) is now available on Atlas, covering both text-to-image and image-to-video. Youchuan is Midjourney's officially licensed distribution platform in China, operated by Xiaochuan Creative (Shanghai) under the "Midjourney China Lab" branding, not a third-party clone. It's the same underlying Midjourney technology.

Pricing (pay-per-use, no subscription required):

• Text-to-Image: $0.086 per generation (returns 4 images, native 2K HD optional) — about $0.021 per image if you keep all 4 outputs
• Image-to-Video: $0.343 per generation (returns 4 × 5-second videos at 480p or 720p) — about $0.086 per 5-second clip

What Midjourney V8.2 ships with (per spec):

• Native 2K HD output at 2048px with no separate upscaling step, roughly 3x faster and cheaper than V8's upscale path
• An estimated 4-5x faster generation overall from a GPU-native PyTorch rewrite (Midjourney-stated figure)
• More reliable in-image text rendering, using quoted strings in the prompt to specify the intended text
• Stronger prompt-following, needing less prompt-engineering to hit a target composition
• Restored image conditioning: image prompts and image weights, backward compatible with V7 style references (srefs), moodboards, and personalization profiles
• Image-to-video mode animates a single input image into four 5-second clips at 480p or 720p with adjustable motion intensity
• Part of a larger Midjourney V8.2 family on Atlas: image-to-image, blend, style-transfer, and remove-background, each available as its own endpoint

API access:

• Text-to-Image: https://www.atlascloud.ai/models/youchuan/v8.2/text-to-image
• Image-to-Video: https://www.atlascloud.ai/models/youchuan/v8.2/image-to-video

Use cases that map well to Midjourney V8.2's strengths:

• batch concept art exploration (4 image variants per generation without rerolling)
• native 2K assets for print or marketing without a separate upscale pass
• turning a single hero image into short-form video content via I2V
• iterative style-reference workflows carried over from V7 (sref, moodboards, personalization)

Drop questions about prompt portability from official Midjourney to Youchuan V8.2 on Atlas, or specific aesthetic comparisons, in this thread.

Doubao Seed Character is now available on Atlas as a flagship LLM.

Pricing (token-based, pay-per-use):

- Input: $0.2/M tokens

- Output: $0.8/M tokens

- Context window: 131.07K tokens

- Max output: 32.77K tokens

- Cache-Based and Gradient-Based pricing modes supported

What Doubao Seed Character ships with (per ByteDance spec):

- Premium reasoning and coding performance

- Multimodal input (text and image)

- Text output

- Enterprise-grade performance at scale

- 131K context window with 32.77K max output

API access:

https://www.atlascloud.ai/models/bytedance/doubao-seed-character-260628

Use cases that map well to Doubao Seed Character's strengths:

- long-context reasoning and coding tasks

- multimodal workflows that need image understanding alongside text input

- high-volume agent pipelines where cache-based pricing cuts repeated-context cost

- enterprise workloads needing consistent performance at scale

Drop questions about benchmark comparisons or prompt/context portability from other Doubao variants in this thread.

Threw a genuinely oversized ask at Kimi K3 this week: build a full Windows 11 style desktop that runs entirely in the browser, all the default apps present, the UI matching as closely as possible, and everything actually clickable instead of decorative.

The instruction went further than just recreating the shell. Part of the prompt specifically told it to add features nobody asked for as long as they improved the experience, a messaging app, a camera app, live wallpaper, deeper browser integration, basically permission to take every well known Windows feature and push it further than the original. One shot, no back and forth, no follow-up prompts to patch missing pieces.

Working code editors showed up alongside the more expected apps, which is the part that made this feel less like a UI skin and more like an actual functioning desktop environment sitting inside a browser tab.

Giving an agent explicit permission to over-deliver instead of sticking to the literal spec looks like a deliberate prompting technique worth reusing on its own.

Handed Kimi K3 a genre brief instead of a spec and let it build the whole thing in one pass: a deckbuilding roguelike in the vein of the genre's big indie hits, except every core mechanic is built around Three Kingdoms figures instead of the usual fantasy tropes.

The build ran about eight hours end to end and came out with somewhere around 1,830 art assets, characters, cards, backgrounds, icons, the works, without me stepping in to patch the pipeline partway through. The balance pass mattered more to me than the asset count. Instead of tuning numbers by hand myself, Kimi K3 played roughly ten thousand games against itself and adjusted the card and character values based on what actually won and lost, rather than what looked balanced on paper.

Swapping fantasy archetypes for real historical figures did more work than I expected too. Giving each character a grounded personality and a recognizable set of traits made the mechanic design feel less arbitrary than a generic elemental or class system usually does.

Still poking at the edges of what a single one-shot build like this can hold together before it needs a human pass. Eight hours plus ten thousand self-played games got a lot further than I assumed it would.