A local CLI integration that enables AI agents to command Dreamina (即梦) for high-performance image and video generation workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dreamina
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install dreamina using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Dreamina CLI?
The dreamina-cli skill provides automated capabilities for executing and managing Dreamina (即梦) image and video generation pipelines directly through CLI subcommands. Utilizing Openclaw Skills, developers and automated agents can execute actions such as text-to-image creation, image-to-video rendering, story-based multi-frame animation, and advanced multi-modal outputs.
This integration simplifies the interaction with Dreamina APIs by wrapping local CLI logic, managing persistent authentication state, keeping track of asynchronous rendering queues, and monitoring credit consumption safely. It is particularly valuable for pipelines where structural AI image generation requires systematic oversight, robust validation, and continuous monitoring.
Dreamina CLI Use Cases
- Programmatic generation of high-quality assets using local AI workflows.
- Compiling multiple storyboard panels into a cohesive story video via multiframe2video.
- Continuous monitoring of asynchronous image and video rendering queues without manual intervention.
- Managing credit allocations and tracking generation histories dynamically in software pipelines.
- Seamlessly executing multi-modal video production using advanced model families like seedance2.0.
How Dreamina CLI Works
- Discovery & Validation: The agent checks capabilities by running help commands like
dreamina -hand specific subcommand options. - Credit & Session Verification: Validates whether a cached session is active and checks credit balances with
user_credit. - Task Dispatching: Executes specific generation subcommands such as
image2videoormultimodal2videobased on inputs. - Asynchronous Monitoring: Monitors task outputs using the generated
submit_idand status loops. - Compliance & Feedback Processing: Handles runtime exceptions, including web-side authorization blocks (
AigcComplianceConfirmationRequired), and provides clear instructions to developers.
Dreamina CLI Setup
System Requirements
Ensure that you have the dreamina CLI installed and configured on your host system with active login credentials.
Integration Steps
Install the command-line integration as part of your active Openclaw Skills profile. Once configured, verify CLI connectivity and review the help options:
# Inspect main CLI capabilities
dreamina -h
# Inspect individual subcommand arguments prior to task execution
dreamina image2video -h
Session Maintenance
Ensure you are logged in using dreamina login. The agent will reuse your active session state to prevent unauthorized session resets.
Dreamina CLI Data Schema & Taxonomy
The skill manages inputs and tracks async state using standard schemas. Command parameters match those defined in the Dreamina API.
Task Tracking Schema
| Command | Subcommand | Output Parameters | Use Case |
|---|---|---|---|
user_credit |
None | credit_balance |
Review remaining budget |
query_result |
--submit_id |
gen_status, fail_reason |
Query status of asynchronous generation |
list_task |
None | task_history_array |
Batch-review past generation results |
image2video |
Various flags | submit_id |
Animated video from a single reference image |
multiframe2video |
Various flags | submit_id |
Sequence-based story video generation |
multimodal2video |
Various flags | submit_id |
Advanced multi-modal production using seedance2.0 |
Dreamina CLI Advanced Features
- Coherent Storyboards: Utilize
multiframe2videoto link sequential frames into one fluid storytelling video. - Multi-modal Precision: Support for the advanced seedance2.0 model family via
multimodal2videofor professional creative content. - Async Execution Safety: Structured validation patterns that monitor
submit_idand check for status codes instead of relying solely on shell exit codes. - AIGC Compliance Interceptors: Built-in logic to handle
AigcComplianceConfirmationRequiredexceptions gracefully, prompt users, and allow seamless retries once verified.
SKILL.md
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