
Open, advanced large-scale image generative models that power high-fidelity creation and editing with modular APIs, reproducible training, built-in safety guardrails, and elastic, production-grade inference at scale.
The Upscale Model API is a powerful tool designed to enhance the resolution and quality of videos. Whether you're working with low-resolution videos that need a boost or aiming to improve the clarity of existing footage, this API leverages advanced machine learning models to deliver high-quality, upscaled videos.
Expand the canvas beyond the original frame to create wider compositions while preserving style and context.
Cleanly inpaint over logos or watermarks on assets you own or are licensed to edit (use responsibly and legally).
Restore and sharpen low-resolution images with realistic detail reconstruction and reduced artifacts.
Replace a face in an image with a consented reference while maintaining lighting, pose, and expression.
Isolate subjects with crisp edges and export as transparent PNG or layered masks.
Increase resolution up to 4×–8× with texture-aware enhancement for print or high-dpi screens.

Work across all image and video utilities in one Playground UI and API—no tool-hopping.

Deliver sharp edges, stable textures, and temporally consistent frames with state-of-the-art, GPU-optimized models.

Upscale images 2k–8k to export-ready files and produce clean 1080p/4K masters with strong temporal stability.

Preserve textures, skin tones, and edges with detail-aware sharpening and artifact reduction.

Maintain faces, lighting, and structure throughout upscaling to keep scenes coherent shot to shot.

Control costs with usage-based billing and auto-scale workloads from quick previews to full production.
Reframe and extend zoom out to recompose product shots, thumbnails, or banners without reshoots.
Clean up assets, remove backgrounds and (permitted) watermarks; fix blemishes and small defects.
Recover detail, upscale or restore old photos and low-res frames for print, e-commerce, and archives.
Elevate videos by upscaling to HD/4K with temporal stability for social, ads, and streaming deliverables.
Localize creative, consent-based face swaps for talent alternates and region-specific versions.

Combining the advanced Image and Video Tools models with Atlas Cloud's GPU-accelerated platform provides unmatched performance, scalability, and developer experience.
Watch how Atlas Cloud’s image & video tools sharpen detail, clean backgrounds, swap faces with consent, and upscale to silky 4K.
Low Latency:
GPU-optimized inference for real-time reasoning.
Unified API:
Run Image and Video Tools, 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.
Open, advanced large-scale image generative models that power high-fidelity creation and editing with modular APIs, reproducible training, built-in safety guardrails, and elastic, production-grade inference at scale.
LTX-2 is a complete AI creative engine. Built for real production workflows, it delivers synchronized audio and video generation, 4K video at 48 fps, multiple performance modes, and radical efficiency, all with the openness and accessibility of running on consumer-grade GPUs.
Qwen-Image is Alibaba’s open image generation model family. Built on advanced diffusion and Mixture-of-Experts design, it delivers cinematic quality, controllable styles, and efficient scaling, empowering developers and enterprises to create high-fidelity media with ease.
Explore OpenAI’s language and video models on Atlas Cloud: ChatGPT for advanced reasoning and interaction, and Sora-2 for physics-aware video generation.
MiniMax Hailuo video models deliver text-to-video and image-to-video at native 1080p (Pro) and 768p (Standard), with strong instruction following and realistic, physics-aware motion.
Wan 2.5 is Alibaba’s state-of-the-art multimodal video generation model, capable of producing high-fidelity, audio-synchronized videos from text or images. It delivers realistic motion, natural lighting, and strong prompt alignment across 480p to 1080p outputs—ideal for creative and production-grade workflows.
The Sora-2 family from OpenAI is the next-generation video + audio generation model, enabling both text-to-video and image-to-video outputs with synchronized dialogue, sound effect, improved physical realism, and fine-grained control.
Kling is Kuaishou’s cutting-edge generative video engine that transforms text or images into cinematic, high-fidelity clips. It offers multiple quality tiers for flexible creation, from fast drafts to studio-grade output.
Veo is Google’s generative video model family, designed to produce cinematic-quality clips with natural motion, creative styles, and integrated audio. With options from fast, iterative variants to high-fidelity production outputs, Veo enables seamless text-to-video and image-to-video creation.
Imagen is Google’s diffusion-based image generation family, designed for photorealism, creativity, and scalable content workflows. With options from fast inference to ultra-high fidelity, Imagen balances speed, detail, and enterprise reliability.
Seedance is ByteDance’s family of video generation models, built for speed, realism, and scale. Available in Lite and Pro versions across 480p, 720p, and 1080p, Seedance transforms text and images into smooth, cinematic video on Atlas Cloud.
Wan 2.2 introduces a Mixture-of-Experts (MoE) architecture that enables greater capacity and finer motion control without higher inference cost, supporting both text-to-video and image-to-video generation with high visual fidelity, smooth motion, and cinematic realism optimized for real-world GPU deployment.
Only at Atlas Cloud.