SF ComfyUI Nodes

A collection of custom ComfyUI nodes developed by Stillfront. All nodes are prefixed with SF for easy searching in ComfyUI.

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Installation

Via ComfyUI Manager (recommended)

Search for "SF ComfyUI Nodes" in the ComfyUI Nodes Manager and click Install.

Manual

cd ComfyUI/custom_nodes
git clone https://github.com/Stillfront/comfyui-sf-nodes.git
cd comfyui-sf-nodes
pip install -r requirements.txt

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Configuration

Copy config.ini.tmp to config.ini and fill in your API keys:

[API]
wavespeed_api_key = YOUR_WAVESPEED_API_KEY

Alternatively, set keys via environment variables:

Variable	Used by
WAVESPEED_API_KEY	All WaveSpeed nodes
ANTHROPIC_API_KEY	SF LLM Chat (Claude)
GEMINI_API_KEY	SF LLM Chat (Gemini)
OPENAI_API_KEY	SF LLM Chat (GPT)
Google Application Default Credentials	All VertexAI nodes

For VertexAI nodes, authenticate via the Google Cloud CLI:

gcloud auth application-default login

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Node Categories

Stillfront/LLM

Chat with large language models directly inside your ComfyUI workflows, with optional image input.

Node	Description
SF LLM Chat	Multi-model chat supporting Claude (Opus, Sonnet, Haiku), Gemini 3 (Pro, Flash), and OpenAI GPT-5 series. Supports image input and reports token usage.
SF Text Analyzer	Analyze and process text strings within workflows.
SF Claude Code	Send text and images to Claude through the Claude Code CLI on your own machine, using your existing Claude login instead of an API key. Image slots appear as you fill them.

Using SF Claude Code

This node shells out to the Claude Code CLI, so it bills against your Claude subscription rather than an Anthropic API key.

Requirements: Claude Code must be installed and signed in on the machine running ComfyUI. The node searches your PATH plus the usual install locations, and gives a clear error if it can't find it.

Input	Purpose
prompt	What you want Claude to do
system_prompt	Shapes the reply, e.g. "Reply with only the prompt text, no preamble." Leave blank to skip
model	default, opus, sonnet, or haiku
timeout_seconds	Give up after this long (default 300)
seed	Not sent to Claude — change it to force a fresh reply instead of ComfyUI's cached one
image_1…	Connect an image and the next slot appears, up to 16

Worth knowing before you build a big batch around it:

• Roughly 5–6 seconds per call minimum. Claude Code is an agent that reads each image as a tool call, so it's slower than a direct vision API request.
• Subscription rate limits apply. Heavy batch use will hit them; SF LLM Chat with an API key is the pay-per-token alternative that won't.
• Not portable. Anyone else installing this pack needs their own Claude Code install and login for this particular node. Every other node in the pack is unaffected.

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Stillfront/VertexAI

Generate images and videos using Google Cloud Vertex AI. Requires a Google Cloud project and Application Default Credentials.

Node	Description
SF VertexAI Imagen 3 Text to Image	Generate images from text using Google Imagen 3.0. Supports multiple aspect ratios, safety settings, and up to 4 images per run.
SF VertexAI Imagen 4 Text to Image	Generate images using the latest Imagen 4.0 model.
SF VertexAI Imagen 4 Upscale	Upscale images using Imagen 4.0.
SF VertexAI Nano Banana Pro	Image generation via the Nano Banana Pro model on Vertex AI.
SF VertexAI Nano Banana Pro Edit	Edit existing images using Nano Banana Pro on Vertex AI.
SF VertexAI Veo 3.1 Text to Video	Generate videos from text prompts using Google VEO 3.1 via Vertex AI.
SF VertexAI Veo 3.1 Image to Video	Animate a still image into a video using Google VEO 3.1 via Vertex AI.

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Stillfront/WaveSpeed

Image and video generation nodes powered by the WaveSpeed AI API. All nodes require the SF WaveSpeed Client node to authenticate.

Setup

Connect an SF WaveSpeed Client node (enter your WaveSpeed API key) to any WaveSpeed generation node.

Video Generation

Node	Description
SF WaveSpeed VEO 3.1 Text to Video	Google VEO 3.1 text-to-video generation.
SF WaveSpeed VEO 3.1 Image to Video	Google VEO 3.1 image-to-video animation.
SF WaveSpeed VEO 3.1 Reference to Video	VEO 3.1 video generation using a reference image.
SF WaveSpeed VEO 3.1 Fast Text to Video	Faster VEO 3.1 text-to-video variant.
SF WaveSpeed VEO 3.1 Fast Image to Video	Faster VEO 3.1 image-to-video variant.
SF WaveSpeed Sora 2 Text to Video	OpenAI Sora 2 text-to-video generation.
SF WaveSpeed Sora 2 Text to Video Pro	Sora 2 Pro — higher quality text-to-video.
SF WaveSpeed Sora 2 Image to Video	OpenAI Sora 2 image-to-video animation.
SF WaveSpeed Sora 2 Image to Video Pro	Sora 2 Pro — higher quality image-to-video.
SF WaveSpeed Wan 2.5 Text to Video	WAN 2.5 text-to-video generation.
SF WaveSpeed Wan 2.5 Text to Video Fast	WAN 2.5 faster text-to-video variant.
SF WaveSpeed Wan 2.5 Image to Video	WAN 2.5 image-to-video animation.
SF WaveSpeed Wan 2.5 Image to Video Fast	WAN 2.5 faster image-to-video variant.
SF WaveSpeed Wan 2.2 Animate	WAN 2.2 image animation.
SF WaveSpeed InfiniteTalk	Animate a portrait image with audio to create a talking-head video.
SF WaveSpeed InfiniteTalk Multi	InfiniteTalk with multiple reference inputs.

Image Generation

Node	Description
SF WaveSpeed Nano Banana Text to Image	Nano Banana text-to-image generation.
SF WaveSpeed Nano Banana Edit	Edit images using the Nano Banana model.
SF WaveSpeed Nano Banana Pro Text to Image	Nano Banana Pro text-to-image.
SF WaveSpeed Nano Banana Pro Text to Image Multi	Nano Banana Pro with multiple inputs.
SF WaveSpeed Nano Banana Pro Text to Image Ultra	Nano Banana Pro Ultra quality variant.
SF WaveSpeed Nano Banana Pro Edit	Edit images with Nano Banana Pro.
SF WaveSpeed Nano Banana Pro Edit Multi	Nano Banana Pro edit with multiple inputs.
SF WaveSpeed Nano Banana Pro Edit Ultra	Nano Banana Pro edit Ultra quality variant.
SF WaveSpeed Qwen Text to Image	Qwen text-to-image generation.
SF WaveSpeed Qwen Edit	Edit images using Qwen.
SF WaveSpeed Qwen Edit Plus	Qwen Edit with extended capabilities.
SF WaveSpeed Qwen Edit LoRA	Qwen edit with LoRA support.
SF WaveSpeed Qwen Edit Plus LoRA	Qwen Edit Plus with LoRA support.
SF WaveSpeed Seedream V4	ByteDance Seedream V4 image generation.
SF WaveSpeed Seedream V4 Sequential	Seedream V4 sequential generation.
SF WaveSpeed Seedream V4 Edit	Edit images with Seedream V4.
SF WaveSpeed Seedream V4 Edit Sequential	Seedream V4 sequential editing.
SF WaveSpeed Wan 2.5 Text to Image	WAN 2.5 text-to-image generation.
SF WaveSpeed Wan 2.5 Image Edit	Edit images using WAN 2.5.
SF WaveSpeed Flux Kontext Dev	Flux Kontext Dev image generation.
SF WaveSpeed Flux Kontext Pro	Flux Kontext Pro image generation.
SF WaveSpeed Flux Kontext Max	Flux Kontext Max — highest quality variant.
SF WaveSpeed Flux ControlNet Union Pro 2	Flux image generation with ControlNet guidance.

Upscalers

Node	Description
SF WaveSpeed Image Upscaler	Upscale images via WaveSpeed AI.
SF WaveSpeed Runway Upscale	Upscale images using RunwayML via WaveSpeed.

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Stillfront/Utils

Utility nodes for building and enhancing workflows.

Node	Description
SF Prompt List	Combine 2–50 text inputs into a single comma-separated string. Add or remove inputs using the inputcount control.
SF Qwen Resolution	Visual resolution preset selector with aspect ratio preview.
SF Text Analyzer	Analyze text content within a workflow.
SF Google Sheet Cell	Read a single cell from a publicly shared Google Sheet. Specify the sheet tab by GID, row by number (1-indexed), and column by letter (A, B, C, ...).
SF Google Sheet Range	Read a range of cells from a publicly shared Google Sheet and join them into a single string with a configurable delimiter. Supports multi-row, multi-column ranges.
SF Google Sheet Prompt Queue	Run a batch of prompts straight from a Google Sheet. Reads prompts from one column, skips any row you've marked as finished in a second column, and sends the rest downstream — the graph runs once per prompt.

Google Sheet nodes require the sheet to be shared as "Anyone with the link can view." The sheet tab GID is found in the browser URL after #gid= when you have that tab open.

Using SF Google Sheet Prompt Queue

Set your sheet up with prompts in one column and an empty column beside it for tracking:

	A	B
1	Prompt	Status
2	a red cat on a windowsill	done
3	a blue dog in the snow
4	a green bird mid-flight

With the defaults (prompt_col A, status_col B, skip_first_row on), a run sends rows 3 and 4 and skips row 2. Each prompt triggers a separate pass through the downstream graph.

• max_rows caps how many prompts go out per run — 10 by default.
• Marking is manual. Type anything into the status column — done, x, executed — and that row is skipped next time. Clear the cell and it gets queued again.
• Scanning stops at the first empty prompt cell, so anything below a gap is ignored.
• The sheet is re-read on every run, so edits you make in the browser are picked up automatically. Add rows or clear status cells and just hit Run again.
• Refresh sheet is optional — it reports how many prompts are pending without running the graph.

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Requirements

• Python 3.10+
• ComfyUI
• See requirements.txt for full Python dependency list

License

MIT License — see LICENSE for details.