How to Extract or Remove ComfyUI Workflows From Images

ComfyUI has established itself as one of the most powerful node-based interfaces for Stable Diffusion, Flux, SDXL, and complex generative image pipelines. By default, whenever ComfyUI renders an image, it writes your entire visual node graph, prompt parameters, sampler settings, and UI widget states directly into the output PNG or WebP file container. Extracting a comfyui workflow from image files allows creators to rebuild node pipelines instantly, but sharing uncleaned output images publicly can inadvertently expose custom node configurations, proprietary prompt techniques, internal model names, and local file directory paths.

How ComfyUI Embeds Complete Node Graphs in PNG and WebP Files

Unlike traditional web user interfaces that compress generation parameters into a single flat text string, ComfyUI embeds two distinct, highly detailed JSON structures into output media files.

When saving PNG files, ComfyUI injects these JSON structures into tEXt or iTXt ancillary chunks prior to the final IEND marker:

1. The prompt Chunk: Contains the API-level execution graph evaluated by the Python backend. This JSON maps every executed node ID, class type (e.g., KSampler, CLIPTextEncode, VAEDecode, LoadCheckPoint), input wire connections, model checkpoint names, seed integers, CFG values, and positive/negative prompt text strings.
2. The workflow Chunk: Contains the complete visual user interface layout. This includes node canvas coordinates, node dimensions, custom group boxes, color coding, wire routing, and UI widget states required to render the interactive graph on screen.

When saving WebP files, ComfyUI writes these same JSON payloads into EXIF or XMP metadata header blocks embedded within the RIFF container.

Because these JSON structures are stored alongside compressed pixel data (IDAT in PNG, VP8/VP8L in WebP), dragging an output image directly into the ComfyUI canvas reads these chunks and reconstructs the entire working workspace—nodes, wires, custom inputs, and settings—in a single step.

The Privacy Risk: Local File Paths and Custom Node Data in ComfyUI JSON

While embedding workflow graphs makes archiving and sharing workflows effortless within team environments, publishing raw ComfyUI output images to public galleries, Reddit, Civitai, or social media introduces privacy and security risks that many creators overlook:

• Local Directory Paths: Nodes that load LoRAs, checkpoints, control nets, or upscalers often record absolute local file system paths inside the JSON graph (for example, C:\Users\JohnDoe\ComfyUI\models\checkpoints\custom_v2.safetensors). This leaks operating system usernames, drive layouts, and folder directory structures.
• Custom Node Names and API Endpoints: Workflows that integrate external API nodes (such as OpenAI vision nodes, DeepL translation nodes, or custom server webhooks) can store API endpoints, local IP addresses, or port bindings inside node property fields.
• Proprietary Workflow Logic: Technical artists and prompt engineers who spend days designing complex multi-pass upscaling, ControlNet masking, IP-Adapter routing, or Flux LoRA stacks lose their competitive edge when raw images are uploaded with full workflow graphs attached.
• Unintended Prompt Exposure: Negative prompts containing sensitive tokens, personal notes, or experimental prompt attempts remain fully readable by anyone with access to the raw file.

Recognizing what your files reveal before uploading them is essential for maintaining workflow security and protecting your creative intellectual property.

How to Extract a ComfyUI Workflow Without Opening ComfyUI

You do not need to launch a local ComfyUI instance, start Python servers, or run command-line scripts simply to inspect or retrieve a workflow JSON from a PNG or WebP image.

To extract ComfyUI workflow JSONs quickly, safely, and privately:

1. Open our AI Watermark Checker in your web browser.
2. Drag and drop your ComfyUI PNG or WebP file into the upload zone.
3. The scanner inspects the container structures locally in web worker memory.
4. Locate the PNG Chunks or XMP / EXIF section in the scan report.
5. You can view, inspect, copy, or export the raw prompt and workflow JSON text strings directly.

Because processing occurs entirely inside your browser using local JavaScript file parsers, your images and workflow JSONs are never transmitted over the network or uploaded to any server. You can verify this by checking your browser’s network panel during the scan.

How to Strip ComfyUI Workflows Losslessly in Your Browser

Many creators attempt to remove ComfyUI workflow data by taking a screenshot of the image or using generic online image converters. Screen captures reduce image resolution, alter color profiles, and discard high-dynamic-range details. Online converters decode the image and apply lossy re-compression, permanently degrading visual quality.

Our AI Metadata Remover provides a container-level solution that strips ComfyUI workflows without touching a single pixel:

• PNG Container Rewriting: For PNG files, the cleaner locates tEXt and iTXt chunks labeled prompt and workflow and removes them while leaving compressed image chunks (IDAT) untouched.
• WebP Chunk Stripping: For WebP files, the cleaner rewrites the RIFF container header, dropping EXIF/XMP metadata chunks that hold ComfyUI JSON payloads while preserving VP8 or VP8L image bitstreams.
• Bit-Identical Quality: Because compressed pixel data is copied byte-for-byte, image quality remains 100% identical to the original output.
• Automated Re-Scan: After rewriting the container, the tool automatically re-scans the resulting file to verify that the prompt and workflow chunks are completely gone.

Verifying Your ComfyUI Output Image is Clean

Before distributing your generated artwork or publishing images online, you should always verify that the file container has been wiped of workflow data.

To verify file cleanliness step-by-step:

1. Drop the cleaned file into our AI Watermark Checker.
2. Confirm that the prompt and workflow chunks show Not detected.
3. Confirm that no local file paths, model names, or prompt strings appear in the scan breakdown.

The Limits of Metadata Removal

It is equally important to understand a foundational principle of digital provenance: metadata absence is not proof of origin. While stripping ComfyUI workflow chunks successfully hides your node setup and local directory paths, removing metadata does not alter pixel structures. A file without metadata simply means no container records were detected—it does not prove whether an image was rendered by AI or captured by a camera.

Legal and Attribution Notice

Stripping metadata from your own ComfyUI workflow generations is a standard method for protecting proprietary processes and personal privacy. However, stripping author tags, copyright declarations, or provenance manifests from media created by others may violate intellectual property regulations. Ensure you hold proper authorization before editing file metadata.

To learn more about how generative AI interfaces store metadata, read our guide on Stable Diffusion PNG metadata. To inspect and clean your ComfyUI images losslessly and privately, try our zero-upload AI Metadata Remover.