🎬 Seedance 2.0 is now live on Atlas Cloud! ByteDance's flagship video model — native audio-video joint generation, up to 15s cinematic output, up to 1440P, multimodal reference (up to 9 images + 3 videos + 3 audio clips), and director-level camera control. Available now: Text-to-Video · Image-to-Video · Reference-to-Video · Fast variants from $0.076/s.
🔓 Need the full-power build? The unrestricted / full-capability pipeline — fewer guardrails, broader subject range, max-fidelity output — is available through Atlas Cloud Workflow. Hook it straight into your skill via the same API key.
Use Atlas Cloud's 300+ image / video / LLM models inside Claude Code, Codex, Gemini CLI, and other AI coding agents. Generate images, videos & chat via curated Skills.
→ Get your free Atlas Cloud API key — 300+ models, one key, OpenAI-compatible.
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🎬 Video (186) — Seedance 2.5 · MiniMax H3 · Youchuan V8.2 · Wan 2.7 Spicy · Seedance 2.0 Mini · HappyHorse-1.1
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🎨 Image (117) — Seedream v5.0 Pro · Qwen Image 3.0 · Reve 2.1 · Youchuan V8.2
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🧊 3D (7) — Seed3D 2.0 · Hunyuan 3D Rapid · Hunyuan 3D Pro · Tripo H3.1
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💬 LLM (62) — DeepSeek V4 Flash 0731 · Qwen3.8 Max · Kimi K3 · Grok 4.5
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🔊 Audio (TTS · Music · ASR) (11) — Seed Audio 1.0 · xAI TTS v1 · ElevenLabs v3 · Gemini 3.1 Flash TTS
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📚 Explore more — all 400 live models »
- Supported Models
- Featured Recipes
- Available Skills
- Installation
- Setup
- What You Can Do
- MCP Server
- More Atlas Cloud Tools
Don't start from a blank prompt — start from a workflow. Three to try first:
- 🛍️ Product Render → 30-Second Ad — turn a product still into a short ad clip
- 🎭 Character Sheet → Multi-Shot AI Drama — one character, consistent across shots
- 📱 Long Video → Vertical Short — reframe + animate for TikTok / Reels / Shorts
Browse all 25 recipes in the library » — across 🎨 visual · 🎬 motion · ✂️ edit · 📱 social.
Quickly integrate Atlas Cloud API into your projects. This skill provides:
- Complete API reference for image generation, video generation, LLM chat, media upload, and quick generation
- All 9 MCP tools documented:
atlas_list_models,atlas_search_docs,atlas_get_model_info,atlas_generate_image,atlas_generate_video,atlas_quick_generate,atlas_chat,atlas_get_prediction,atlas_upload_media - Ready-to-use code templates in Python, Node.js/TypeScript, and cURL
- Popular model IDs with pricing info
- OpenAI SDK compatibility guide for LLM models
- Error handling, retry strategy, and best practices
A model-specific sub-skill for controllable Seedance video, layered on top of atlas-cloud. Use it when a job needs shot planning rather than a single prompt:
- Route selection first — text-to-video, storyboard-image-to-video, asset-reference-to-video, first-and-last-frame, or extending an existing clip
- Reference discipline — how to assign people / product / scene / style / audio references so identity holds across shots
- Shot craft — camera, lighting and composition vocabulary, transition patterns, long-video continuity, real-person handling
- Editing and extension — rewriting part of an existing video, changing lighting or style, extending a short clip
- Execution — submits through Atlas Cloud (MCP, CLI or REST) and verifies model availability before a billable run
- Every reference ships in English and Simplified Chinese; Chinese requests follow a dedicated Chinese workflow
Works with universal-video-prompt-skill when the same brief needs to run on more than one model. Prompt library for this model: awesome-seedance-2.5-prompts-skills
Model-agnostic companion to seedance-2-5-skill. It writes one prompt spec — scope, locks, staging, end states — separately from the dialect that expresses it, then compiles that spec for whichever video model you can actually call. Use it when:
- The same brief has to run on several models, or the target model is not available yet and the work must proceed elsewhere
- You are building a model-comparison matrix and need the prompts to differ only by dialect
- A prompt must survive a model swap instead of being rewritten
Each model carries a measured profile (reference syntax, limits, timing adherence, default-bias behaviour); the skill probes what it does not know, degrades the spec to what the model supports, and reports every degrade. English + Simplified Chinese references throughout.
npx skills add AtlasCloudAI/atlas-cloud-skillscurl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/atlas-cloud-skills/main/install.sh | shCopy atlas-cloud/ to ~/.claude/skills/atlas-cloud/, and any sub-skill under skills/ to ~/.claude/skills/<name>/.
curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/atlas-cloud-skills/main/install.sh | sh -s atlas-cloud
curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/atlas-cloud-skills/main/install.sh | sh -s seedance-2-5-skill
curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/atlas-cloud-skills/main/install.sh | sh -s universal-video-prompt-skillseedance-2-5-skill references universal-video-prompt-skill, so install both if you want cross-model prompt specs.
- Get an API Key at Atlas Cloud Console
- Set the environment variable:
export ATLASCLOUD_API_KEY="your-api-key-here"See .env.example for a ready-to-copy template.
| Capability | Endpoint | Example Models |
|---|---|---|
| Image Generation | POST /api/v1/model/generateImage |
Nano Banana 2, Seedream v5.0, Z-Image |
| Video Generation | POST /api/v1/model/generateVideo |
Seedance 2.0, Kling v3.0, Vidu Q3 |
| Audio — TTS & Music | POST /api/v1/model/generateAudio |
Seed Audio 1.0, Suno Chirp v5, MiniMax Music |
| Speech-to-Text (ASR) | POST /api/v1/model/generateAudio |
Seed ASR 2.0, xAI STT |
| 3D Generation | POST /api/v1/model/generateImage |
Seed3D 2.0, Hunyuan 3D (image/text-to-3D) |
| LLM Chat | POST /v1/chat/completions |
Qwen3.5, Kimi K2.5, DeepSeek V3.2, GLM 5 |
| Upload Media | POST /api/v1/model/uploadMedia |
Upload local files to get public URLs |
| Quick Generate | Auto model search + submit | One-step generation by keyword |
| Search Models | Fuzzy search by keyword | Find models by name, type, or provider |
For a more native experience, install the Atlas Cloud MCP Server:
# Claude Code
claude mcp add atlascloud -- npx -y atlascloud-mcp
# Gemini CLI
gemini mcp add atlascloud -- npx -y atlascloud-mcp
# OpenAI Codex CLI
codex mcp add atlascloud -- npx -y atlascloud-mcp{
"mcpServers": {
"atlascloud": {
"command": "npx",
"args": ["-y", "atlascloud-mcp"],
"env": {
"ATLASCLOUD_API_KEY": "your-api-key-here"
}
}
}
}Supports Cursor, Windsurf, VS Code (Copilot), Trae, Zed, JetBrains, Claude Desktop, ChatGPT Desktop, Amazon Q Developer, Cline, Roo Code, Continue, and all MCP-compatible clients.
- 🧰 Want to use it from the terminal? → atlascloud-cli
- 🤖 Want to use it in Claude Code / Cursor? → Atlas Cloud MCP Server
- 🎬 Want it as a Claude Code / Codex / Gemini CLI Skill? → atlas-cloud-skills
- 🎨 ComfyUI nodes → atlascloud_comfyui
- 🔁 n8n nodes → n8n-nodes-atlascloud
- 💬 Join our Discord → discord.gg/MWmMr4q9es
- 🌐 Website → atlascloud.ai
Docs: Models & API · Console / API Keys