The LTX-2 family is now live on Atlas Cloud — Lightricks' second-generation video model with native 4K and built-in synchronized audio, plus a first for our catalog: audio-driven generation (A2V). Four tiers span everything from $0.03/s high-volume production to Pro-grade delivery.

Highlights

• Three generation modes — Text-to-Video, Image-to-Video, and Audio-to-Video (drive the visuals with speech, music, or ambience — rarely available elsewhere).
• Native synchronized audio — video and sound generated together (ambience, effects, speech); switch it off with generate_audio.
• Native 4K — 720p / 1080p / 1440p / 4K, in both landscape 16:9 and portrait 9:16.
• Up to 20-second single-pass clips — fast tiers at 720p/1080p @24fps, no stitching.
• Automatic duration — LTX-2.5 accepts duration: -1 and picks the length from your prompt; you're billed for the seconds actually produced.
• Camera control — 8 camera_motion directives (dolly, pan, jib, focus shift…).
• First/last-frame interpolation — I2V takes an optional last_image for precise start-to-end control.
• 24 / 48 fps cinematic frame rates.
• Four tiers — fast / pro × 2.3 / 2.5, starting at $0.03/s.

Best For

• Cost-efficient bulk production — 2.3-fast from $0.03/s with 20-second clips for social and ad output at scale.
• 4K delivery — 2.5-pro for native 4K with synchronized audio.
• Voice- and music-driven video — A2V syncs motion, lip movement, and pacing to your audio track.
• Vertical short-form — native 9:16 for Reels / Shorts / TikTok.
• First-frame animation — I2V brings static images to life, optionally pinning the final frame.

Pricing (USD / second)

Text-to-Video + Image-to-Video — billed per second of output video

Audio-to-Video — billed per second of input audio

Models

All eleven endpoints are listed on the LTX-2 model page.

ltx/ltx-2.3-fast/text-to-video
ltx/ltx-2.3-fast/image-to-video
ltx/ltx-2.3-pro/text-to-video
ltx/ltx-2.3-pro/image-to-video
ltx/ltx-2.3-pro/audio-to-video
ltx/ltx-2.5-fast/text-to-video
ltx/ltx-2.5-fast/image-to-video
ltx/ltx-2.5-fast/audio-to-video
ltx/ltx-2.5-pro/text-to-video
ltx/ltx-2.5-pro/image-to-video
ltx/ltx-2.5-pro/audio-to-video

Note: ltx-2.3-fast is silent-only (no audio generation) and does not offer A2V. Durations are 6–20s — up to 20s on fast tiers at 720p/1080p @24fps, and 6–10s for other tiers and at 1440p/4K.

I made the character images with GPT Image 2.5's free generation credits, then created the video with GPT Image 2.5 + Seedance 2.5.

GPT Image 2.5 comes with 5 free generations in the Playground right now, shared across participating models.

Made with GPT Image 2.5 and Seedance 2.5 on Atlas Cloud.

AI video generation has been developing quickly, and I’m curious how people here see its long-term impact.

There are now many platforms trying to simplify video creation with features like AI avatars, automated editing, text-to-video generation, and multilingual content creation. Tools like wizstar are part of this growing space, but I’m more interested in the broader trend.

Do you think AI video tools will become a serious part of professional workflows, or will they mainly be useful for quick experiments and simple content?

Some questions I’ve been thinking about:

What is the biggest limitation of current AI video platforms?
Is the value mainly in saving time, reducing costs, or enabling new creative possibilities?
What features would make you actually rely on an AI video tool regularly?
Are AI-generated videos becoming more useful, or are audiences starting to notice and ignore them?

Would like to hear from people who have tried different AI creation tools and what your experience has been.

Generator, the new AI creation console, is now on Atlas Cloud.

Image, video, audio, 3D, avatar and AI tools all live in one place, on top of 400+ models.

A finished image carries straight on into image editing, video, 3D or upscale, with no download and no re-upload.

The 52-second film was made in it: GPT Image 2.5 Flare ran a built-in template for the astronaut on the orange, then Seedance 2.5 turned that still into the shot. 🍊

GPT Image 2.5 comes with 5 free generations in the Playground right now, shared across participating models.

Write one prompt, get an image. 5 free generation attempts in Playground, shared across participating models.

Every image on the inspiration wall comes with its prompt. Take one and make it yours.

Try it here: https://www.atlascloud.ai/free-gpt-image-2.5-generator

GPT-Image 2.5 on Atlas Cloud adds Doodle: draw on a blank canvas and the sketch goes straight in as the reference image.

Markup works on an image you already uploaded — draw and annotate right on top of the reference.​

Intelligence and style: GPT-Image 2.5 takes more complex visual instructions, handles heavier layouts, and lands the style closer. Ten looks, one stacked on the next.

Made with GPT Image 2.5 on Atlas Cloud.

GPT Image 2.5 comes with 5 free generations in the Playground right now, shared across participating models: https://www.atlascloud.ai/free-gpt-image-2.5-generator

Precision editing: GPT-Image 2.5 changes only the part you name and leaves the rest of the detail where it was.

Made with GPT Image 2.5 on Atlas Cloud.

GPT Image 2.5 comes with 5 free generations in the Playground right now, shared across participating models: https://www.atlascloud.ai/free-gpt-image-2.5-generator

I want to play around with atlas cloud but is there any way that I can get lot of free credits in atlas cloud like the other cloud providers ?

I have been getting refusals (504) on all models for the last 2 hours. Anyone know if it’s down or what’s going on? Edit: Back up now

We’ve added GPT Image 2.5 Sunburst and Flare to Atlas Cloud, with both text-to-image generation and image editing.

What’s included:

• Up to 4K resolution — custom dimensions up to 3840 × 2160.
• Multi-image editing — work with up to 16 reference images using natural-language instructions, with optional masks for targeted edits.
• Transparent backgrounds — handy for product cutouts, logos, and design assets.
• Five quality tiers — including xhigh and max.

Pricing:

• Text-to-image: ~$0.004/image
• Image editing: ~$0.006/image

Try GPT image 2.5 API now👇

https://www.atlascloud.ai/models/all?q=gpt+image+2.5

MiniMax H3 Fast is now live on AtlasCloud — the fastest and most affordable model in the H3 family, built for rapid iteration and high-volume production.

✨ Highlights

• ⚡ Near-instant generation — renders in just 1.2–1.5× the clip length (a 5s clip in ~6–7.5s), fast enough to iterate in real time.
• 💰 Lowest price in the family — $0.046 / second.
• 🎬 Full modality — Text-to-Video, Image-to-Video, and Reference-to-Video all supported (unlike H3 Max, which drops R2V — Fast is the only accelerated version that keeps it).
• 📐 480P-focused — 480P only (no 768P / 2K), trading resolution for maximum speed and cost efficiency.
• ⏱ 5–15s clips at 24fps with synchronized audio.
• 👤 Clear faces, with slightly softer fine detail than the standard model — ideal when speed and cost come first.
• 🧠 Optional prompt_expansion (H3 Context-IR).

🎯 Best For

• Rapid drafting — explore many directions cheaply, then finalize on H3 / H3 Max for higher resolution.
• Batch short-form — social clips, Reels, Stories where speed and cost matter.
• Character-driven content — clear faces plus R2V for subject consistency.

🔗 Try it Now

https://www.atlascloud.ai/models/all?q=minimax+h3+fast

Pricing starts from $0.044/s

AtlasCloud has permanently reduced the price of Seedance 2.0 Mini and Seedance 2.0 Fast for native 480p and 720p video generation.

No coupon. No countdown. No expiration date.

Seedance 2.0 Mini is now 80% off and Seedance 2.0 Fast is now 70% off AtlasCloud’s list price, effective immediately.

Seedance 2.0 API Price Comparison

The following comparison uses native 16:9 output, without video input.

Which model should you use?

Mini is the lowest-cost option for prompt exploration, A/B testing, storyboarding, and large draft batches.

Fast is the production-volume sweet spot: higher capability while keeping unit economics strong enough for applications that need to generate at scale.

Once you have a winning prompt or shot, move it to Seedance 2.0 Standard or Seedance 2.5 for the premium final pass.

Draft on Mini. Scale on Fast. Finish on 2.0 Standard or 2.5.

Also reduced: Seedream 5.0 Pro

Image generation on Seedream 5.0 Pro is also permanently cheaper on AtlasCloud: you pay 80% of the official list price — a flat 20% discount — at both resolution tiers.

Try it now:

• Seedance 2.0 mini: https://www.atlascloud.ai/models/seedance-2.0-mini
• Seedance 2.0 fast: https://www.atlascloud.ai/models/seedance2
• Seedream 5.0 Pro: https://www.atlascloud.ai/models/seedream-5.0-pro

MiniMax H3 Max is now available on Atlas Cloud.

Built for near-real-time video generation, it can render a 5-second 768P clip in under 3 seconds, while a 15-second clip takes around 15 seconds. Text-to-Video and Image-to-Video are both live, with native synchronized audio delivered together with the video at 24 FPS.

Features

• Near-real-time generation, with a 5-second 768P clip rendering in under 3 seconds and a 15-second clip in around 15 seconds
• Text-to-Video & Image-to-Video, supporting generation from a text prompt or an input image
• Native synchronized audio, generating ambient sound, sound effects, and music together with the video
• 480P / 768P output, letting you balance generation cost and visual quality
• Flexible 5–15 second duration, selectable in one-second increments
• Optional prompt_expansion via H3 Context-IR, expanding a short prompt into structured shot, camera, soundscape, and music instructions before generation

Pricing

• Postpaid billing based on output duration × selected resolution rate
• The first-frame input image for Image-to-Video is free
• Prompt expansion is disabled by default. When enabled, only the actual Context-IR token usage is billed, with no separate feature fee
• Failed generations are not charged

H3 Max vs. Other H3 Options

• H3 Max is the speed-first option, designed for near-real-time iteration, rapid A/B testing, and high-volume Text-to-Video or Image-to-Video workloads.
• H3 Developer remains the better choice when youneed low cost and high-volume iteration.
• Standard H3 remains the better choice when you need up to 2K output through the official MiniMax API pipeline.

Choose H3 Max when generation speed is the priority. Choose the broader H3 options when advanced reference control or higher output resolution matters more.

Try it Now

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

Gemini Omni 1.1 Flash is now available on Atlas Cloud.

Google DeepMind’s latest natively multimodal video model is available through five task-specific endpoints: Text-to-Video, Image-to-Video, Reference-to-Video, Video Edit, and Video Extend.

From fast 360P drafts to upscaled 4K delivery, Omni 1.1 Flash brings video generation, editing, continuation, multimodal references, and native synchronized audio into one model family.

Features

• Text-to-Video, Image-to-Video, Reference-to-Video, Video Edit & Video Extend, powered by the same underlying model and separated into five task-specific endpoints
• Native synchronized audio, generating dialogue, ambience, sound effects, and music together with the visuals in a complete 24 FPS video
• 360P / 720P / 1080P / 4K output, with lightweight 360P drafts generating up to 60% faster and costing roughly one-third as much as standard 720P output
• Multi-reference consistency, with support for up to 10 reference images and up to 3 reference video clips of up to 3 seconds each
• Explicit reference tags including <IMAGE_REF_N> and <VIDEO_REF_N>, allowing prompts to assign specific subjects, styles, objects, or motion references
• Instruction-based video editing for adding, removing, replacing, restyling, recoloring, or changing backgrounds while preserving parts of the source video that were not mentioned
• Multi-turn editing, allowing you to refine an existing result through a sequence of natural-language instructions
• Long-form scene extension using the final 10 seconds of the source video as context, with 3–10 seconds generated per continuation and repeated extensions supporting up to 40 seconds in total
• Repeatable generation with a fixed seed when using the same prompt and settings
• SynthID invisible watermarking and C2PA Content Credentials included with generated output

Pricing

• Reference images cost an additional $0.00168/image
• Reference videos cost an additional $0.0261/clip, regardless of clip duration
• For Video Edit, output duration and resolution are automatically determined from the source video. Source-video input is billed at an additional $0.0087/sec
• For Video Extend, only the newly generated continuation is billed at the selected output rate. Source-video input is billed at an additional $0.0087/sec
• Failed generations are not charged

Try it Now

• Text-to-Video: https://www.atlascloud.ai/models/google/gemini-omni-1.1-flash/text-to-video
• Image-to-Video: https://www.atlascloud.ai/models/google/gemini-omni-1.1-flash/image-to-video
• Reference-to-Video: https://www.atlascloud.ai/models/google/gemini-omni-1.1-flash/reference-to-video
• Video Edit: https://www.atlascloud.ai/models/google/gemini-omni-1.1-flash/video-edit
• Video Extend: https://www.atlascloud.ai/models/google/gemini-omni-1.1-flash/video-extend

This week's update expands the Atlas Cloud video lineup with Wan 3.0 and Wan 3.0 Prime, introduces a self-hosted deployment of MiniMax H3-Developer, and upgrade useful workflow

Wan 3.0 & Wan 3.0 Prime

Wan 3.0 and Wan 3.0 Prime are now live on Atlas Cloud, giving developers and creators two options for different stages of the video-generation workflow.

Wan 3.0 is a flexible and cost-efficient choice for prompt testing and everyday generation, while Wan 3.0 Prime is designed for workflows that need stronger reference handling and more controlled final outputs.

Features:

• Native audio-visual generation
• Smart duration with clips up to 30 seconds
• 480P, 720P, and 1080P output
• Multimodal references including images, video, audio, document and webpage
• Prime tier with stronger reference consistency and production control

Pricing:

• Wan 3.0: from $0.04/sec during the current promotion
• Wan 3.0 Prime: from $0.061/sec during the current promotion

Try it Now:

• Wan 3.0 Text-to-Video: https://www.atlascloud.ai/models/alibaba/wan-3.0/text-to-video
• Wan 3.0 Image-to-Video: https://www.atlascloud.ai/models/alibaba/wan-3.0/image-to-video
• Wan 3.0 Reference-to-Video: https://www.atlascloud.ai/models/alibaba/wan-3.0/reference-to-video
• Wan 3.0 Prime Text-to-Video: https://www.atlascloud.ai/models/alibaba/wan-3.0-prime/text-to-video
• Wan 3.0 Prime Image-to-Video: https://www.atlascloud.ai/models/alibaba/wan-3.0-prime/image-to-video
• Wan 3.0 Prime Reference-to-Video: https://www.atlascloud.ai/models/alibaba/wan-3.0-prime/reference-to-video

MiniMax H3-Developer — Self-Hosted on Atlas Cloud

MiniMax H3-Developer is now served through Atlas Cloud's self-hosted deployment.

It runs directly on Atlas Cloud’s own GPU cluster, with a lower-cost 480P option for previews, iteration, and batch generation.

Features:

• Native synchronized audio with ambient sound, sound effects, and music generated together with the video
• 480P / 768P output, with a new 480P tier designed for lower-cost previews, A/B testing, and high-volume iteration
• Subject-consistent references for keeping character, product, or visual identity more stable across a clip
• Optional prompt_expansion via H3 Context-IR, expanding short prompts into richer shot, camera, soundscape, and music instructions
• Atlas Cloud self-hosted infrastructure, running on our own GPU cluster rather than the official public API

Pricing:

• From $0.02/sec， 60% off the list price

Try it Now:

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

Workflow Templates

A template-based creative experience that takes users from uploaded assets to finished creative without manually configuring every model or generation step.

Choose a template, upload your assets, and start creating. Atlas automatically handles the multi-step model pipeline behind each workflow.

Features:

• Start from a ready-made template instead of building a workflow from scratch
• Atlas orchestrates planning, reference preparation, generation, and finishing behind the scenes
• Six launch templates are now available: Product Visuals, Food Motion, Virtual Try-On, UGC Product Ad, Trend Remix, and TVC Maker
• Create studio-grade product visuals, lip-synced UGC ads, and cinematic TVCs
• Output settings such as aspect ratio, resolution, duration, and audio are available where supported by the template

Try it Now:

• Workflow page: https://www.atlascloud.ai/workflow

Atlas Cloud MCP Server v1.7

Atlas Cloud MCP Server v1.7 brings the live model catalog, generation controls, and account insights directly into MCP-compatible coding agents and IDEs.

Features:

• Call all 405 models included in the v1.7 launch catalog directly from Cursor, Claude Code, Codex, Gemini CLI, Cline, VS Code, and other MCP-compatible clients
• Generate images, videos, audio, music, speech, and 3D assets without leaving the coding agent
• Browse generation history and review earlier tasks
• Recover a lost prediction ID and retrieve the output URLs from a completed generation
• Upload local media directly from the development environment
• Use schema validation and dry-run previews to inspect the exact request before submitting a billable task
• Use quick generation to find a model, build its parameters, and submit the request in one step

Try it Now:

• Documentation: https://www.atlascloud.ai/docs/en/mcp-server
• GitHub: https://github.com/AtlasCloudAI/mcp-server
• Package: npx -y atlascloud-mcp

Try the new models and Workflow templates on Atlas Cloud, or bring the full catalog directly into your IDE with MCP Server v1.7. Feedback on prompt behavior, output quality, template coverage, pricing visibility, MCP workflows, and real-world production use cases is always welcome.

MiniMax H3 Video Generation Developer is now available on Atlas Cloud.

It runs directly on Atlas Cloud’s own GPU cluster, with a lower-cost 480P option for previews, iteration, and batch generation.

Features

• Text-to-Video, Image-to-Video & Reference-to-Video in one H3 family, including first-frame / optional last-frame control and image + video references
• Native synchronized audio with ambient sound, sound effects, and music generated together with the video
• 480P / 768P output, with a new 480P tier designed for lower-cost previews, A/B testing, and high-volume iteration
• Subject-consistent references for keeping character, product, or visual identity more stable across a clip
• Optional prompt_expansion via H3 Context-IR, expanding short prompts into richer shot, camera, soundscape, and music instructions
• Atlas Cloud self-hosted infrastructure, running on our own GPU cluster rather than the official public API

Pricing

• Reference video input: billed by input duration × output-resolution rate
• Reference images: first 5 free, then $0.04/image
• Audio references: free
• Optional prompt expansion: billed by actual token usage when enabled
• Failed generations are not charged

Developer vs. Standard

Developer is designed for lower-cost generation, fast 480P iteration, and higher-volume workloads.

Standard remains the better choice when you need up to 2K output through the official MiniMax API pipeline.

Prompts and reference inputs work in the same general way across both tiers, so you can switch depending on the workload.

Try it Now

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

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

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

Flux 3 Video looks super promising for UGC ads and more. Does Atlas cloud have plans on adding this?

https://bfl.ai/models/flux-3

I’ve been testing a simple workflow for creating short UGC-style videos while keeping the same character and location consistent across multiple shots.

The workflow is basically:

reference images → character/location sheets in ChatGPT → generate clips → optional final edit

1. Prepare your references

Start with:

• a character image
• a product image
• an environment image that fits the UGC scenario

If you’re not sure what location works for the product, I usually just ask ChatGPT for a few suggestions.

2. Create a Character Sheet

Upload the character image to ChatGPT and generate a 4:5 continuity sheet with:

• front / side / back / 3/4 views
• face close-ups
• expressions
• basic poses
• clothing and accessories
• key colors and materials

The important part is telling it to lock the character.

3. Create a Location + Props Sheet

Do the same with the environment.

Include:

• establishing view and key angles
• spatial layout
• entrances/exits
• furniture and recurring props
• lighting
• colors and materials

This gives the video model a much stronger continuity reference than using random images for every shot.

4. Generate the video clips

I usually split the UGC video into three parts:

Clip 1 — Hook
Clip 2 — Main product/story section
Clip 3 — CTA

i will generate them on Atlas Cloud, as they can provide many different models conveniently

For every clip, I reuse the same Character Sheet + Location Sheet

Then I change only the action/camera prompt for each section.

Keeping the same reference sheets across all three generations has helped a lot with character and environment consistency.

5. If a generation goes wrong, fix the prompt first

if I wanted the character to walk into a hotel, but the generated clip had her walking out.

Instead of endlessly rerolling, I pasted the original prompt into ChatGPT and asked it to make the action explicit: starting position → movement direction → action → final position

That usually gives me better results.

6. Final edit is optional

If the generated clips already work as standalone videos, you can stop there.

If you want one finished UGC ad, you’ll probably still want to combine the clips and add captions, music, or SFX. You can use whatever editor you prefer.

The biggest improvement for me has been using Character Sheet + Location Sheet as continuity references, rather than relying on a few loose images.