31 lines
2.0 KiB
Markdown
31 lines
2.0 KiB
Markdown
# Main Tab
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This chapter will provide a detailed overview of the convenient cloud-based resource management approach offered by this solution.
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## Upload Model
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To use extra models for inference, you will need to upload model through steps below, and follow steps [here](txt2img-guide.md) to inference with extra models.
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1. Within Stable Diffusion WebUI, navigate to solution main tab **Amazon SageMaker**, find session **Cloud Assets Management**.
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2. Enter the local model path under correspoding model text box.
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> **Note**: You can upload multiple kinds of models by entering multiple local model paths in text box.
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3. Click **Upload Models to Cloud** to start uploading process.
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4. Message ** will appear once uploading completes.
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## Amazon SageMaker Endpoint Management
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### Deploy new endpoint
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1. Within Stable Diffusion WebUI, navigate to solution main tab **Amazon SageMaker**, find session **Cloud Assets Management**, **Deploy New SageMaker Endpoint**, select Amazon SageMaker instance type for inference under **SageMaker Instance Type**, and count in **Please select Instance count**, click **Deploy**, message *Endpoint deployment started* will appear on the left side.
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2. You can navigate to tab **txt2img**, session **Amazon SageMaker Inference**, refresh and select drop down list **Select Cloud SageMaker Endpoint** to check all the deployment status of endpoints.
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> **Note:** The format of the drop down list is：endpoint name+ deployment status (including Creating/Failed/InService)+deployment completing time。
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3. It will take around 10 mins for endpoint deployment status changing to *InService*, which indicates that the endpoint has been successfully deployed.
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### Delete deployed endpoints
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1. Refresh and select endpoint(s) under dropdown list of **Select Cloud SageMaker Endpoint**.
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2. Click **Delete**, message *Endpoint delete completed* will appear on left side, which indicates that the selected endpoint(s) havs been successfully deleted.
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