Diffusion Bee
Run Stable Diffusion locally on your Mac with ease
About Diffusion Bee
Diffusion Bee is a user-friendly GUI application that allows you to run Stable Diffusion models directly on your Intel or M1/M2 Mac. With a one-click installer and no dependencies required, it ensures full data privacy by keeping all processing local. The app supports multiple models, including SD 1.x, SD 2.x, SD XL, Inpainting, ControlNet, and LoRA, and offers features like image-to-image generation, inpainting, outpainting, and advanced prompt options.
FAQ
GitHub Premium Support helps customers implement GitHub Enterprise quickly and effectively across the organization with 24/7 support.
For pricing information, please get in touch with the GitHub Premium Support Sales team.
There are three levels of support: The basic plan included with your GitHub Enterprise license, GitHub Premium Support, and GitHub Premium Plus Support. Please refer to the plan comparison table for more details.
If you are an existing GitHub Premium Support customer, please sign in to the support portal. If you don’t already have GitHub Premium Support, please contact sales.
Escalation and incident management is the ability to escalate ticket progression in the GitHub support portal. After someone escalates a ticket, Support Incident Coordinators orchestrate all necessary parties to resolve the ticket.
Incident response management helps manage the technical resources needed for case resolution. Support Incident Coordinators are available for incident response management 24/7.
GitHub Premium Support and GitHub Premium Plus Support customers have SLAs. For urgent priority tickets, your SLA guarantees a 30-minute initial response time, which includes troubleshooting. For high priority tickets, your SLA provides a four-hour initial response time.
GitHub Premium Support and GitHub Premium Plus Support customers are entitled to unlimited automated health check reports. Additionally, GitHub Premium Plus Support customers can request quarterly enhanced health checks with findings, interpretations, and recommendations from a Customer Reliability Engineer.
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