Drag & Drop into Comfy
Drag & Drop the images below into ComfyUI. It will automatically populate all of the nodes/settings that were used to generate the image. You can then just immediately click the "Generate" button to generate more images with the same prompt/settings.
Step 1: Download the image from this page below.
Step 2: Drag & Drop the downloaded image straight onto the ComfyUI canvas.
Step 3: View more workflows at the bottom of this page.
Sytan Workflow
Searge Workflow
ComfyUI
ComfyUI provides a powerful yet intuitive way to harness Stable Diffusion through a flowchart interface. Users can drag and drop nodes to design advanced AI art pipelines, and also take advantage of libraries of existing workflows. Support for SD 1.x, 2.x, SDXL, LoRA, and upscaling makes ComfyUI flexible. Saving/loading workflows as JSON or generating workflows from PNGs enhances shareability.
While incredibly capable and advanced, ComfyUI doesn't have to be daunting. The key is starting simple. Begin by generating a single image from a text prompt, then slowly build up your pipeline node-by-node. Take advantage of existing workflows from the ComfyUI community to see how others structure their creations. And don't be afraid to tweak sliders and settings - AI art is an iterative process of refinement.
With ComfyUI's modular approach, you can start small and work your way up to elaborate creations. The interface makes it easy to focus on one part of the process at a time. And with cloud GPUs from Run Diffusion, you can get the power you need to generate AI art quickly without purchasing expensive hardware.
Watch to learn how to use ComfyUI on RunDiffusion
ComfyUI Workflows
ComfyUI Workflows are a way to easily start generating images within ComfyUI. It can be a little intimidating starting out with a blank canvas, but by bringing in an existing workflow, you can have a starting point that comes with a set of nodes all ready to go.
We also have some images that you can drag-n-drop into the UI to have some of the Workflows prefilled with all the Node settings that it took to generate that image.
