How does the prompt cycling work?

Provide a multiline list of style prompts or let GeminiNode generate them using the Author Notes’ pattern. FL_PromptMulti assigns one prompt per frame and repeats the list after the final line, ensuring a predictable style cycle across the video.

Do I have to use GeminiNode for prompts?

No. You can paste hand-written prompts into PrimitiveStringMultiline. GeminiNode is optional and helps draft prompts; RegexReplace then normalizes them (e.g., removes numbering and enforces using “the source frame”).

Will the output have audio?

This setup focuses on frame-to-frame visual stylization. If your CreateVideo/SaveVideo configuration doesn’t pass through audio, you can remux the original audio onto the stylized video using a video editor or ffmpeg.

How can I reduce flicker between frames?

Keep prompts concise and consistent, always referencing “the source frame.” Avoid subject re-descriptions, keep style terms stable across frames, and process every frame (Nth=1) for best temporal consistency. Larger N values speed tests but increase perceptual jumps.

Stylize Video - Frame by Frame - Flux.2 Klein 4b

This workflow applies a consistent, frame-by-frame style transfer to any input video using the Flux.2 Klein 4b Distilled image editing model. It decodes your video with LoadVideo and reads resolution/FPS via GetVideoComponents, then uses VHS_SelectEveryNthImage to choose how densely to process frames (every frame, or every Nth for speed). Frames are organized with ImpactImageBatchToImageList so each image can be paired with a per-frame prompt.

Style prompts are generated and aligned with frames using a small prompt pipeline: GeminiNode can draft style-transfer lines following the Author Notes, RegexReplace cleans and normalizes the text (for example, removing numbering and enforcing "the source frame" phrasing), and FL_PromptMulti distributes one prompt per frame in a repeating cycle. Each frame and its corresponding prompt are fed into the Flux.2 Klein 4b editing node (the Flux.2 Klein 4b Distilled image editing model) to produce a stylized image while preserving the source frame’s structure. The processed images are repacked with ImageListToImageBatch, converted to a video using CreateVideo (matching the original FPS from GetVideoComponents), previewed via PreviewAny as needed, and written to disk with SaveVideo.

API

Use this workflow from code

Every Comfy workflow is a JSON graph. The payload below is this workflow, exactly as ComfyUI runs it — fetch it from the URL, keep it in version control, or load it in ComfyUI and run it node by node.

GET https://comfy.org/workflows/download/41f029c74cd4.json

Fetching workflow JSON…

Run it from Python or TypeScript with the Comfy SDK. The same code targets Comfy Cloud or a ComfyUI you host yourself — only the base URL changes.

# Install (beta)
pip install comfy-sdk        # Python
npm i @comfyorg/sdk          # TypeScript

# Run this workflow (Python)
from comfy_sdk import Comfy

client = Comfy(api_key="comfyui-...")
wf = client.workflows.from_file("workflow_api.json")
job = client.run(wf)
for output in job.get_outputs("<output-node-id>"):
    output.to_file(output.name)

The SDK takes a workflow in API format: open this workflow in ComfyUI and use File → Export Workflow (API). API access requires a Comfy Cloud plan with an API key. SDK docs · Get an API key

FAQ

Frequently Asked Questions

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