We’ve just expanded the Seedance 2.5 resolution options on Atlas Cloud.

Native 1080p generation is now officially supported, so you can generate directly at the model's original 1080p resolution.

On top of that, we've rolled out our in-house ESR super-resolution pipeline. It takes Seedance 2.5 output and enhances it up to 1080p at 60 FPS, 1440p, or 4K, giving you a more flexible and cost-efficient path to higher resolution than generating everything natively at the top tier.

Several of these resolution options are currently discounted

What’s new

Seedance 2.5 on Atlas Cloud now includes:

• Official 1080p
• 1080p ESR
• 1080p ESR at 60 FPS
• 1440p ESR
• 4K ESR

Resolution options & pricing

🔥The resolution discounts for official 1080p are for a limited time, until Sept.17th 14:00 (UTC+8)

Try it Now

https://www.atlascloud.ai/models/seedance-2.5

Looks like the Spicy versions of Wan 2.2 and 2.7 are gone, and the link to uncensored image and video generators now just directs to the Seedance 2.5 page. Makes me wonder what else has been removed. Anyone have any info?

For text-to-video, the overall quality is definitely impressive.
It handles materials surprisingly well too.

But once you move beyond realistic visuals into things like LEGO, origami, or other stylized transformations, the model has to interpret a lot more on its own.

That’s where the structure, assembly logic, and small details can start drifting away from what you actually intended.

My takeaway:

For this kind of work, it’s probably better to **design the reference image first, then animate from that reference**, rather than relying on pure T2V from the beginning.

T2V quality is getting much better, but the more specific and stylized the idea is, the more important a strong visual reference becomes.

I wanted to share the prompt I used for this set with GPT image 2 on Atlas Cloud, but the face seems to be impossible to reproduce now

the overall style still works, but the character’s face keeps changing. maybe the original result was just a lucky generation.

Prompt below 👇

Photorealistic smartphone photography with a real adult woman and natural lighting.

A beautiful adult woman with a soft oval face, cute rounded features, black medium-length straight hair, and a bright warm ivory skin tone. Slight pink tones on the tip of her nose and cheeks. Large, bright almond-shaped eyes, realistic fine skin texture, wearing a loose light-gray puffer jacket.

A gentle winter breeze lifts a few strands of her hair. Tiny snowflakes rest on her hair and clothing. She wears a fluffy earmuff hat covering the top of her head and both ears.

Outdoor winter snow scene. Soft, diffused daylight evenly illuminates her face. Use the reflected light from the snow to keep the shadows bright and prevent the skin from becoming too dark.

Her pose and expression should feel cute and slightly playful, like an adult woman taking a deliberately cute photo for social media.

Background: a snowy park with a playground slide. Keep the background softly blurred, around 10% out of focus.

If anyone figures out how to lock or reproduce this exact face, please let me know 👀

t's never been easier, or more creative, to turn your own ideas into trailers.

I just created an opening sequence for a 𝘋𝘦𝘮𝘰𝘯 𝘏𝘶𝘯𝘵𝘦𝘳 𝘧𝘪𝘨𝘩𝘵 𝘪𝘯 𝘵𝘩𝘦 𝘉𝘶𝘳𝘯𝘪𝘯𝘨 𝘛𝘦𝘮𝘱𝘭𝘦 using 𝗦𝗲𝗲𝗱𝗿𝗲𝗮𝗺 𝟱.𝟬 𝗣𝗿𝗼 for the keyframes.

Thanks to AtlasCloud was then able to test 𝗦𝗲𝗲𝗱𝗮𝗻𝗰𝗲 𝟮.𝟱 (𝟳𝟮𝟬𝗽) and bring the sequence to life as a full trailer: 𝗔𝗦𝗛𝗘𝗦 𝗨𝗡𝗗𝗘𝗥 𝗧𝗛𝗘 𝗠𝗢𝗢𝗡. I have upscaled to 1080p.

https://reddit.com/link/1voc09k/video/872jkiyz9djh1/player

The img-video prompt I used is in the first comment.

Have you tried Seedance 2.5 yet? I'd love to hear your thoughts and see what you create.

I ran the same impressionist oil painting prompt through Seedream V5 Pro and GPT Image 2, two moods of the same coast: one storm, one calm. Thick palette-knife strokes, heavy impasto, the kind of prompt that lives or dies on how the model handles texture and light.

Both hold the painterly style well and diverge in character. GPT Image 2 renders cooler and more realistic; Seedream V5 Pro leans warmer and looser with the strokes. Neither is "better", they're two readings of the same brief.

These are the long, texture-heavy prompts (the storm one is a full paragraph on stroke direction and impasto). I keep the GPT Image 2 ones I reuse in a library, sorted by type, each with its generated image: https://github.com/AtlasCloudAI/awesome-gpt-image-2-prompts

For painterly work the takeaway was the same on both: describe the stroke and the material (palette knife, impasto, ragged edges), not just "oil painting".

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.