Kling Comfy Workflows

The practical starting point for Kling comfyui workflows is that Kling is a cloud video model from Kuaishou, so these workflows call it through ComfyUI's API nodes instead of loading weights. There is no local download; what you get is access to a well-regarded video generator wired into editable graphs, where the prompt, the conditioning image, and the output all pass through nodes you can adjust and chain into the rest of a pipeline.

The workflows cover the common video jobs. Text-to-video turns a written prompt into a clip, image-to-video animates a still you upload, and first-last-frame (FLF2V) interpolates between two frames you set so the motion starts and ends where you want. Kling also supports character reference, where you supply an image of a subject and the model carries that likeness into the generated motion, which is useful for keeping a person or character recognizable across clips.

Kling has moved through several versions, up through the current Kling 3.0 family, which includes the Video 3.0 Omni and Image 3.0 Omni builds, and the workflows target the latest release so you get its motion quality and prompt adherence without tracking version names yourself. Kling 3.0 pushes resolution to native 4K and can generate synchronized audio in the same pass on supported tasks. Because the graph is open, you keep control of the prompt, the conditioning frames, the duration, and the aspect ratio, even though the model itself is hosted and fixed.

To run one, open a Kling workflow on Comfy Cloud with nothing to install, since there is no local option. Write your prompt or upload your image or frames, set the duration and aspect ratio, and generate. You can re-run with a tighter prompt or a different reference until the motion and timing are right, and the clip drops straight into your wider ComfyUI workflow.