working L4 GPU with 8 core CPU 32G memory
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@ -83,9 +83,11 @@ output_dir = "/root/comfy/ComfyUI/output"
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concurrency_limit=50,
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concurrency_limit=50,
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container_idle_timeout=120,
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container_idle_timeout=120,
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# 5 minute container keep alive after it processes an input; increasing this value is a great way to reduce ComfyUI cold start times
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# 5 minute container keep alive after it processes an input; increasing this value is a great way to reduce ComfyUI cold start times
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timeout=600,
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timeout=900,
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gpu="L4",
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gpu="L4",
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memory=(32768, 32768),
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cpu=8,
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# memory=(32768, 32768), # (内存预留量, 内存使用上限)
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memory=32768,
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secrets=[secret],
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secrets=[secret],
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volumes={
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volumes={
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"/root/comfy/ComfyUI/models": vol,
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"/root/comfy/ComfyUI/models": vol,
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@ -126,8 +128,7 @@ class ComfyUI:
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node["inputs"]["default_value"] = node["inputs"]["default_value"].replace("input_s3", "input")
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node["inputs"]["default_value"] = node["inputs"]["default_value"].replace("input_s3", "input")
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with open(f"/root/{session_id}.json", "w", encoding="utf-8") as f:
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with open(f"/root/{session_id}.json", "w", encoding="utf-8") as f:
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f.write(json.dumps(workflow, ensure_ascii=False))
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f.write(json.dumps(workflow, ensure_ascii=False))
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cmd = f"comfy run --workflow /root/{session_id}.json --wait --timeout 600 --verbose"
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cmd = f"comfy run --workflow /root/{session_id}.json --wait --timeout 900 --verbose"
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# TODO 接收返回值
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subprocess.run(cmd, shell=True, check=True)
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subprocess.run(cmd, shell=True, check=True)
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# looks up the name of the output image file based on the workflow
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# looks up the name of the output image file based on the workflow
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