Modellix

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Modellix is a Model-as-a-Service platform for AI image and video generation. This skill teaches agents to use the official `modellix-cli` workflow (doctor → model run --wait → task download).

Category: AI & Intelligent Agents
Repo: antigravity-awesome-skills
Path: skills/modellix/SKILL.md
Updated: 7/19/2026, 7:47:10 PM
Open on GitHubHow to Install

AI Summary

Modellix is a Model-as-a-Service platform for AI image and video generation. This skill teaches agents to use the official `modellix-cli` workflow (doctor → model run --wait → task download). It is useful for LLM applications, agent orchestration, RAG pipelines, AI evaluation, and multi-agent workflows. Source: antigravity-awesome-skills (skills/modellix/SKILL.md).

Modellix

Overview

Modellix is a Model-as-a-Service platform for AI image and video generation. This skill teaches agents to use the official modellix-cli workflow (doctor → model run --wait → task download).

Upstream package: https://github.com/Modellix/modellix-skill/tree/main/modellix-skill

When to Use This Skill

  • Generate images from text prompts
  • Generate or edit videos from text or images
  • Call Modellix models through a unified API/CLI
  • The user mentions Modellix, Seedream, Seedance, Nano Banana, or similar providers via Modellix

How It Works

  1. Authenticate with MODELLIX_API_KEY or modellix-cli auth login
  2. Run modellix-cli doctor --json
  3. Use default models when unspecified (T2I: google/nano-banana-2-lite, T2V: bytedance/seedance-2.0-mini-t2v)
  4. Submit with modellix-cli model run --wait --json
  5. Persist outputs with modellix-cli task download

Examples

Text-to-image

modellix-cli model run \
  --model-slug google/nano-banana-2-lite \
  --body '{"prompt":"A cinematic sunset over a futuristic city"}' \
  --wait --timeout 5m --json

Text-to-video

modellix-cli model run \
  --model-slug bytedance/seedance-2.0-mini-t2v \
  --body '{"prompt":"Ocean waves under a cloudy sunset"}' \
  --wait --timeout 10m --json

Best Practices

  • Prefer CLI model run --wait over hand-rolled polling
  • Before a paid submission, disclose the provider, model, prompt or source media that will leave the machine, expected cost, and output path; obtain explicit user approval
  • Prefer session-scoped API-key use; run modellix-cli auth login only when the user approves persistent local credential storage
  • Do not blindly retry paid submissions after unknown outcomes — check task history
  • Confirm the destination and overwrite policy before task download; never replace an existing file without explicit approval
  • Fetch request schemas from model describe docs_url or https://docs.modellix.ai/llms.txt

Security & Safety Notes

  • Requires a Modellix API key; never print secrets in logs
  • Prompts and uploaded source media leave the machine for api.modellix.ai and Modellix CDN processing
  • Paid generation consumes account balance and must not be submitted or retried without the approval described above

Limitations

  • Requires a Modellix account, network access, a valid API key, and sufficient account balance.
  • Model availability, request schemas, pricing, quotas, moderation, and generation time are controlled by Modellix and may change.
  • Generated outputs require human review for quality, rights, privacy, and policy compliance before publication.
  • This skill documents the CLI workflow only; it does not define a REST fallback or guarantee that a completed remote task downloads successfully.

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