How many reference images can I use, and what are they for?

You can connect up to three reference images to GrokImageEditNodeV2. Use them to preserve subject identity, transfer style, or anchor product/brand details so the edit remains consistent across scenes.

Do I need a mask to swap backgrounds or restyle part of the image?

No mask is required. GrokImageEditNodeV2 applies edits from natural-language instructions. For tighter control, use precise prompts (e.g., describe the subject and the background separately) and start from a well-framed base image.

What resolutions and aspect ratios are supported?

The node renders at 1K or 2K resolution and offers 14 aspect ratios. Choose the aspect ratio that matches your output target (e.g., poster, square, vertical) to avoid unwanted cropping later.

How do I get the best text rendering quality?

Keep text short (titles, labels, or brief slogans), specify the exact string, case, and placement in the prompt, and request high contrast against the background. If needed, generate a clean background or reserved space first, then iterate on type styling.

Grok Imagine Image 2.0: Image Edit

This ComfyUI tutorial walks you through Grok Imagine Image 2.0: Image Edit, a prompt-based image editing workflow powered by xAI’s Aurora engine. The workflow is intentionally simple: LoadImage brings in your source and up to three optional reference images, GrokImageEditNodeV2 interprets your natural-language instructions to apply precise edits (like background swaps, restyling, or adding short text), and SaveImage writes the final render to disk. You can target 1K or 2K output and pick from 14 aspect ratios, making it easy to generate poster-ready or platform-specific visuals.

Under the hood, GrokImageEditNodeV2 conditions the edit on the provided base image plus any reference images to maintain visual identity and style. This enables strong character consistency across scenes, reliable product look alignment, and crisp short-text rendering for cover titles or label callouts—without manual masking. Because the node centralizes key settings (prompt, aspect ratio, and resolution), you can iterate quickly: refine the prompt, swap a reference, and re-render until the composition and typography meet your needs.

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/23226868cf80.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

View all workflows