* Change PyWorker to Worker SDK * Moved /lib to vast-sdk (https://github.com/vast-ai/vast-sdk)
ComfyUI Wan 2.2 PyWorker
This is the PyWorker implementation for running Wan 2.2 T2V A14B text-to-video workflows in ComfyUI. It provides a unified interface for executing complete ComfyUI video-generation workflows through a proxy-based architecture and returning generated video assets.
Each request has a static cost of 10000. ComfyUI does not support concurrent workloads, and there is no provision to run multiple ComfyUI instances per worker node.
Requirements
This worker requires the following components:
- ComfyUI (https://github.com/comfyanonymous/ComfyUI)
- ComfyUI API Wrapper (https://github.com/ai-dock/comfyui-api-wrapper)
- Wan 2.2 T2V A14B models and required custom nodes
A Docker image is provided with all required Wan 2.2 models pre-installed, but any image may be used if the above requirements are met.
Endpoint
The worker exposes a single synchronous endpoint:
/generate/sync: Processes a complete ComfyUI workflow JSON and generates video output
Request Format
The Wan 2.2 worker only supports custom workflow mode. Modifier-based workflows are not supported.
{
"input": {
"request_id": "uuid-string",
"workflow_json": {
// Complete ComfyUI Wan 2.2 workflow JSON
},
"s3": { },
"webhook": { }
}
}
Request Fields
Required Fields
input: Container for all request parametersinput.workflow_json: Complete ComfyUI workflow graph for Wan 2.2 video generation
Optional Fields
input.request_id: Client-defined request identifierinput.s3: S3-compatible storage configurationinput.webhook: Webhook configuration for completion notifications
The special string "__RANDOM_INT__" may be used in the workflow JSON and will be replaced with a random integer before submission to ComfyUI.
S3 Configuration
Generated video assets can be automatically uploaded to S3-compatible storage. Configuration can be supplied per request or via environment variables. Request-level values take precedence.
Via Request JSON
"s3": {
"access_key_id": "your-s3-access-key",
"secret_access_key": "your-s3-secret-access-key",
"endpoint_url": "https://s3.amazonaws.com",
"bucket_name": "your-bucket",
"region": "us-east-1"
}
Via Environment Variables
S3_ACCESS_KEY_ID=your-key
S3_SECRET_ACCESS_KEY=your-secret
S3_BUCKET_NAME=your-bucket
S3_ENDPOINT_URL=https://s3.amazonaws.com
S3_REGION=us-east-1
Webhook Configuration
Webhooks are triggered on request completion or failure.
Via Request JSON
"webhook": {
"url": "https://your-webhook-url",
"extra_params": {
"custom_field": "value"
}
}
Via Environment Variables
WEBHOOK_URL=https://your-webhook-url
WEBHOOK_TIMEOUT=30
Example Request
Wan 2.2 Text-to-Video Workflow
{
"input": {
"workflow_json": {
"90": {
"inputs": {
"clip_name": "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
"type": "wan",
"device": "default"
},
"class_type": "CLIPLoader"
},
"99": {
"inputs": {
"text": "A cinematic slow-motion portrait of a woman turning her head",
"clip": ["90", 0]
},
"class_type": "CLIPTextEncode"
},
"104": {
"inputs": {
"width": 640,
"height": 640,
"length": 81,
"batch_size": 1
},
"class_type": "EmptyHunyuanLatentVideo"
}
}
}
}
Response Format
A successful response includes execution metadata, ComfyUI output details, and generated video assets.
Response Fields
id: Unique request identifierstatus:completed,failed,processing,generating, orqueuedmessage: Human-readable status messagecomfyui_response: Raw response from ComfyUI, including execution status and progressoutput: Array of generated outputstimings: Timing information for the request
Output Object
Each entry in output includes:
filename: Generated file name (e.g.,.mp4)local_path: File path on the workerurl: Pre-signed download URL (if S3 is configured)type: Output type (output)subfolder: Output directory (e.g.,video)node_id: ComfyUI node that produced the outputoutput_type: Output category (e.g.,images)
Notes and Limitations
- Only full ComfyUI workflow JSONs are supported
- Concurrent requests are not supported per worker
- Wan 2.2 models must be installed before processing requests
- Video generation workflows may take several minutes depending on resolution, length, and GPU performance