Which model generates the images, and can I change the style?

The OpenAIGPTImage1 node uses OpenAI’s gpt-image-1. Style is controlled by the base prompt in OpenAIChatConfig and the FL_PromptMulti template. Edit those to switch from aged newspaper to magazine color, tabloid, ransom-note collage, or comic-book aesthetics.

How do I control pacing and readability of each word on screen?

Use ImageBatchRepeatInterleaving to set how many times each frame is repeated, and adjust FPS in CreateVideo. More repeats or lower FPS increases on-screen time per word. For fast, punchy cuts, use fewer repeats and higher FPS.

My sentence includes punctuation or filler words. Can I filter them out?

Yes. In OpenAIChatConfig, instruct the chat node to return an array of meaningful words only (e.g., remove articles like “a,” “an,” “the,” and strip punctuation). You can also instruct it to uppercase or normalize each word for consistent typography.

How can I get cleaner, more legible headline typography?

Refine the image prompt in FL_PromptMulti to be explicit: specify a bold serif or sans-serif headline, centered layout, high-contrast ink on off-white newsprint, and minimal background clutter. Keeping each word short and using uppercase often improves results.

What about cost and performance with longer sentences?

Each word triggers an image generation call to gpt-image-1, so long sentences increase time and API cost. Consider capping the word count in OpenAIChatConfig, batching test runs at smaller image sizes, and previewing via SaveImage before exporting the final video.

Text Match Cut - ComfyUI Workflow

This ComfyUI workflow turns any sentence into a Vox-style archival newspaper match-cut montage. An OpenAIChatNode (driven by OpenAIChatConfig) takes your sentence and splits it into a clean list of words. FL_PromptMulti then expands those words into per-word image prompts, and OpenAIGPTImage1 calls OpenAI’s gpt-image-1 model to render each word as a bold editorial headline on an aged newsprint page. SaveImage can optionally write out the individual frames for inspection and iteration.

Once the frames are generated, ImageRemoveAlpha+ ensures each image has an opaque background for video encoding. ImageListToImageBatch organizes the frames, and ImageBatchRepeatInterleaving duplicates each frame a set number of times to create the snappy, stop‑motion pacing typical of match cuts. CreateVideo assembles the batch into an MP4 at your chosen frame rate, and SaveVideo writes the final clip. You can quickly change the visual direction by editing the base prompt in OpenAIChatConfig—switch from monochrome broadsheet to magazine color, tabloid grit, ransom-note collage, or comic-book halftone—while FPS and repeat count let you fine‑tune timing and readability.

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/e0df9e9c7683.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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