Files
pyworker/workers/ace/client.py
LucasArmandVast 4380d98c01 Use PyWorker SDK (#67)
* Change PyWorker to Worker SDK
* Moved /lib to vast-sdk (https://github.com/vast-ai/vast-sdk)
2025-12-15 19:33:03 -08:00

149 lines
4.4 KiB
Python

from vastai import Serverless
import asyncio
async def main():
async with Serverless() as client:
endpoint = await client.get_endpoint(name="my-ace-endpoint")
# ComfyUI API compatible json workflow for ACE Step
workflow = {
"14": {
"inputs": {
"tags": "funk, pop, soul, rock, melodic, guitar, drums, bass, keyboard, percussion, 105 BPM, energetic, upbeat, groovy, vibrant, dynamic",
"lyrics": "[verse]\nNeon lights they flicker bright\nCity hums in dead of night\nRhythms pulse through concrete veins\nLost in echoes of refrains\n\n[verse]\nBassline groovin in my chest\nHeartbeats match the citys zest\nElectric whispers fill the air\nSynthesized dreams everywhere\n\n[chorus]\nTurn it up and let it flow\nFeel the fire let it grow\nIn this rhythm we belong\nHear the night sing out our song",
"lyrics_strength": 0.99,
"clip": ["40", 1]
},
"class_type": "TextEncodeAceStepAudio",
"_meta": {
"title": "TextEncodeAceStepAudio"
}
},
"17": {
"inputs": {
"seconds": 180,
"batch_size": 1
},
"class_type": "EmptyAceStepLatentAudio",
"_meta": {
"title": "EmptyAceStepLatentAudio"
}
},
"18": {
"inputs": {
"samples": ["52", 0],
"vae": ["40", 2]
},
"class_type": "VAEDecodeAudio",
"_meta": {
"title": "VAE Decode Audio"
}
},
"40": {
"inputs": {
"ckpt_name": "ace_step_v1_3.5b.safetensors"
},
"class_type": "CheckpointLoaderSimple",
"_meta": {
"title": "Load Checkpoint"
}
},
"44": {
"inputs": {
"conditioning": ["14", 0]
},
"class_type": "ConditioningZeroOut",
"_meta": {
"title": "ConditioningZeroOut"
}
},
"49": {
"inputs": {
"model": ["51", 0],
"operation": ["50", 0]
},
"class_type": "LatentApplyOperationCFG",
"_meta": {
"title": "LatentApplyOperationCFG"
}
},
"50": {
"inputs": {
"multiplier": 1.15
},
"class_type": "LatentOperationTonemapReinhard",
"_meta": {
"title": "LatentOperationTonemapReinhard"
}
},
"51": {
"inputs": {
"shift": 6,
"model": ["40", 0]
},
"class_type": "ModelSamplingSD3",
"_meta": {
"title": "ModelSamplingSD3"
}
},
"52": {
"inputs": {
"seed": "__RANDOM_INT__",
"steps": 65,
"cfg": 4,
"sampler_name": "er_sde",
"scheduler": "linear_quadratic",
"denoise": 1,
"model": ["49", 0],
"positive": ["14", 0],
"negative": ["44", 0],
"latent_image": ["17", 0]
},
"class_type": "KSampler",
"_meta": {
"title": "KSampler"
}
},
"59": {
"inputs": {
"filename_prefix": "audio/ComfyUI",
"quality": "V0",
"audioUI": "",
"audio": ["18", 0]
},
"class_type": "SaveAudioMP3",
"_meta": {
"title": "Save Audio (MP3)"
}
}
}
payload = {
"input": {
"request_id": "",
"workflow_json": workflow,
"s3": {
"access_key_id": "",
"secret_access_key": "",
"endpoint_url": "",
"bucket_name": "",
"region": ""
},
"webhook": {
"url": "",
"extra_params": {
"user_id": "12345",
"project_id": "abc-def"
}
}
}
}
response = await endpoint.request("/generate/sync", payload)
# Response contains status, output, and any errors
print(response["response"])
if __name__ == "__main__":
asyncio.run(main())