V1.5.0 extension package

The latest version primarily includes the following enhancements and innovations:

• Support webUI V1.8.0
• Support extension ReActor for Stable Diffusion
• Add API Debugger feature
• Support LoRa model training through Kohya_ss
• Improve customer experience on Resource management in webUI
• Optimize the method of customizing BYOC extensions, and support optimization startup
• Support auto-scale ability for real-time inference endpoints
• Support the customizable range for the numbers of instances during auto-scaling
• Optimize installation time by 67%, down to 4 minutes
• Upgrade Python version from 3.9 to 3.10
• Bugs fix

v1.4.0 extension package

The latest version primarily includes the following enhancements and innovations:

• Support webUI V1.7.0
• Support multiple Amazon stacks deployment in one account
• Enhance cold-start time of Amazon SageMaker inference time by 70%, down to 3 mins
• Support image generation through Amazon SageMaker real-time inference endpoint
• Improve customer experience on webUI, containing multiple level filters for tables of roles, users, models and inference endpoints, along with resource delete feature
• Bugs fix

v1.3.0 extension package

The latest version primarily includes the following enhancements and innovations:

• New Model Support: Stable Diffusion Turbo
• BYOC Feature: Enables customers to customize the WebUI plugin through BYOC (Bring Your Own Container).
• Multi-User Management: Supports user update without requiring to restart the WebUI
• Cloud-Only Edition: Allows users to update the WebUI to a version that exclusively supports cloud-based operation in client without GPU resource.
• API: Launches APIs that comply with the OpenAPI standard, facilitating easier querying and invocation by developers.

Additionally, the preview version includes:

• New Model Support: Stable Diffusion LCM.
• Diffusers: Offers inference capabilities based on the diffusers library, including direct invocation through both WebUI and API.

v1.2.1 extension package

Minor feature update and issue fix in list below:

• Create LambdaDeployRole in the shared stack to avoid issues caused by duplicate resources.
• Add validation for the S3 bucket name.
• Address the issue with Lambda quota.
• When two people are running the graph together (let's assume A and B), B's graph is based on the keywords written by A.
• After uploading the Lora model through the extension's web UI, it cannot be selected if the model is not available locally.
• Provide additional extra generate API support.
• After uploading the controlnet model through the extension's web UI, it cannot be selected if the model is not available locally.
• After uploading the embedding model through the extension's web UI, it cannot be used if the model is not available locally.
• Modify the scaling-down strategy to ensure that it is not triggered too early, which could result in longer cold start times.
• DDB (DynamoDB) is not promptly updated when removing SageMaker Endpoint from the web UI.

v1.2.0 extension package

• Version update support
• Multiple user management
• New model upload method (from URL to S3)
• webUI 1.6.0 support (XL + ControlNet, Refiner)

v1.1.0 extension package

• webUI 1.5.1, SDXL1.0 support
• VAE support
• Upload model from local to S3
• Multi-controlnet
• Endpoint auto scale
• New filter for inference Job

v1.0.1 extension package

- Upgrade the version support of webUI to V1.4.0
- Upgrade the version support of ControlNet to V1.1.227
- Upgrade the version support of Dreambooth to V1.0.14
- Support txt2img API Direct call
- Support full features in img2img except batch
- Support full features in ControlNet except multi-ControlNet
- Auto-refresh inference results in Output section
- Support filter in Inference Job ID
- Support rollback or update the middleware
- Bugs fix

v1.0.0 extension package

• Amazon SageMaker main tab with authentication, cloud assets management, dataset managerment
• txt2img/img2img inference integration
• Dreambooth/Controlnet inference & training integration