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sd webui agent scheduler

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Basic Information

AgentScheduler is a Stable Diffusion Web UI extension for Automatic1111 and Vladmandic forks that adds queueing and scheduling to image generation workflows. It lets users enqueue current prompts, settings and controlnets from the web UI and manage a persistent task queue inside the WebUI. The extension supports batching across checkpoints, selecting checkpoint subsets or entire folders, editing queued tasks, bookmarking and searching tasks, viewing generation results and maintaining a configurable queue history. It is distributed as a WebUI extension with compatibility notes for specific commits of A1111 and Vladmandic. The README documents installation routes (Vlad fork builtin, install-from-URL, or manual clone), extension settings, troubleshooting tips and licensing under Apache 2.0. The project is presented as a tool for creators, teams and automated workflows in generative image projects.

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App URL
https://github.com/SipherAGI/sd-webui-agent-scheduler
Github Repository
https://github.com/SipherAGI/sd-webui-agent-scheduler/blob/main/README.md

App Details

Features
The extension provides an Agent Scheduler tab showing queued tasks and the currently generating image, drag-and-drop reorder, pause/resume and single-task start/prioritization controls, task deletion and requeueing. Users can enqueue with all checkpoints or a selected subset, use a custom checkpoint dropdown to override the system checkpoint for queued items, double-click tasks to rename or edit prompts and basic parameters, bookmark tasks, filter or search by status or text, and view/download results. Full API access is exposed when WebUI is run with --api, with routes for /agent-scheduler/v1/queue/txt2img and /agent-scheduler/v1/queue/img2img, a results endpoint returning JSON base64 images or zip, and support for callback_url multipart/form-data completions.
Use Cases
AgentScheduler streamlines repetitive and large-scale image generation by turning single-shot WebUI operations into managed, automatable queues. It enables quick experimentation across multiple checkpoints, ordered batch runs, and easy reordering or prioritization of pending jobs, reducing manual overhead for creators and teams. The HTTP API and callback support let users integrate generation jobs into external automation, pipelines or monitoring systems and retrieve outputs programmatically. Configurable history retention, bookmarking and search improve organization for ongoing projects. The extension targets creators, small design teams, agencies and studios working with Stable Diffusion, helping them compare models, manage long renders and integrate generation into broader collaboration or automation flows.

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