Revert "fix: drop the HTTP endpoint that left 1.0.8 pending registry review"

Removing the route did not clear the Pending status: 1.0.9 shipped without
it and sits Pending alongside 1.0.8, so the endpoint was never the cause.
Pending appears to be the normal post-upload state before a scan promotes a
version to Active.

Restores the Refresh button and its preview endpoint.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

.gitignore

@@ -36,6 +36,9 @@ env/
 # Config with secrets
 config.ini
 
+# Publish artifact created by `comfy node publish`
+node.zip
+
 # OS
 .DS_Store
 Thumbs.db

README.md

@@ -1,19 +1,16 @@
 # SF ComfyUI Nodes
 
-A collection of custom nodes for ComfyUI developed by Stillfront.
+![Stillfront](assets/logo.png)
 
-## Features
+A collection of custom ComfyUI nodes developed by [Stillfront](https://www.stillfront.com). All nodes are prefixed with **SF** for easy searching in ComfyUI.
 
-- **LLM Integration** — Chat with Claude, Gemini, and OpenAI GPT models, with optional image input
-- **WaveSpeed AI** — Image and video generation (VEO, Sora, Qwen, ByteDance, Kling, VIDU, WAN, and more)
-- **VertexAI** — Google Imagen3 and VEO video generation via Vertex AI
-- **Utility Nodes** — Resolution presets, dynamic prompt lists, text analysis
+---
 
 ## Installation
 
 ### Via ComfyUI Manager (recommended)
 
-Search for **"SF ComfyUI Nodes"** in ComfyUI Manager and click Install.
+Search for **"SF ComfyUI Nodes"** in the ComfyUI Nodes Manager and click **Install**.
 
 ### Manual
 
@@ -24,47 +21,175 @@ cd comfyui-sf-nodes
 pip install -r requirements.txt
 ```
 
+---
+
 ## Configuration
 
-1. Copy `config.ini.tmp` to `config.ini`
-2. Add your API keys:
-   - `WAVESPEED_API_KEY`
-   - `ANTHROPIC_API_KEY` (for Claude)
-   - `GEMINI_API_KEY` (for Gemini)
-   - Google Cloud credentials (for VertexAI nodes)
+Copy `config.ini.tmp` to `config.ini` and fill in your API keys:
+
+```ini
+[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](https://cloud.google.com/sdk/docs/install):
+```bash
+gcloud auth application-default login
+```
+
+---
 
 ## Node Categories
 
-All nodes are prefixed with **SF** for easy searching in ComfyUI.
-
 ### Stillfront/LLM
-- **SF LLM Chat** — Multi-model chat (Claude, Gemini, GPT) with image support and token usage reporting
-- **SF Text Analyzer** — Text analysis utilities
 
-### Stillfront/WaveSpeed
-- **SF WaveSpeed Client** — API client configuration
-- **SF VEO 3.1 Text to Video** — Google VEO video generation
-- **SF Sora 2 Text to Video** — OpenAI Sora video generation
-- **SF Qwen Image** — Qwen image generation and editing
-- **SF ByteDance Seedream** — ByteDance image generation
-- **SF Kling** — Kling video generation
-- **SF VIDU** — VIDU video generation
-- And many more...
+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. |
+
+---
 
 ### Stillfront/VertexAI
-- **SF Imagen3** — Google Imagen3 image generation
-- **SF VEO Video** — Video generation via Vertex AI
+
+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. |
+
+---
+
+### Stillfront/WaveSpeed
+
+Image and video generation nodes powered by the [WaveSpeed AI](https://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. |
+
+---
 
 ### Stillfront/Utils
-- **SF Qwen Resolution** — Resolution presets with visual preview
-- **SF Prompt List** — Dynamic multi-input text combiner (2–50 inputs)
+
+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.
+
+---
 
 ## Requirements
 
 - Python 3.10+
 - ComfyUI
-- See `requirements.txt` for Python dependencies
+- See `requirements.txt` for full Python dependency list
 
 ## License
 
-MIT License
+MIT License — see [LICENSE](LICENSE) for details.

py/sf_google_sheet_cell.py

@@ -0,0 +1,124 @@
+import csv
+import io
+import re
+import requests
+
+
+def col_letter_to_index(col_str: str) -> int:
+    """Convert a column letter (A, B, C, ... Z, AA, AB, ...) to a 0-based index."""
+    col_str = col_str.strip().upper()
+    if not col_str or not col_str.isalpha():
+        raise ValueError(f"Invalid column label '{col_str}'. Use letters like A, B, C, AA, AB, etc.")
+    result = 0
+    for char in col_str:
+        result = result * 26 + (ord(char) - ord("A") + 1)
+    return result - 1
+
+
+class SFGoogleSheetCell:
+    """
+    Reads a single cell from a publicly shared Google Sheet.
+    Row is 1-indexed. Column uses letter notation (A, B, C, ...) matching Google Sheets.
+    The sheet must be shared as "Anyone with the link can view."
+    """
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "url": (
+                    "STRING",
+                    {
+                        "multiline": False,
+                        "default": "https://docs.google.com/spreadsheets/d/.../edit",
+                        "tooltip": (
+                            "Full Google Sheets URL. "
+                            "The sheet must be shared: Share → Anyone with the link → Viewer."
+                        ),
+                    },
+                ),
+                "sheet_gid": (
+                    "STRING",
+                    {
+                        "default": "0",
+                        "tooltip": (
+                            "Sheet tab GID — found in the URL after '#gid='. "
+                            "Use 0 for the first/default sheet. "
+                            "Example: for ...#gid=1234567890 enter 1234567890."
+                        ),
+                    },
+                ),
+                "row": (
+                    "INT",
+                    {
+                        "default": 1,
+                        "min": 1,
+                        "step": 1,
+                        "tooltip": "Row number starting from 1 (matches the row numbers shown in Google Sheets).",
+                    },
+                ),
+                "col": (
+                    "STRING",
+                    {
+                        "default": "A",
+                        "tooltip": "Column letter as shown in Google Sheets (A, B, C, ... Z, AA, AB, ...).",
+                    },
+                ),
+            }
+        }
+
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("cell_value",)
+    FUNCTION = "get_cell"
+    CATEGORY = "Stillfront/Utils"
+
+    def get_cell(self, url: str, sheet_gid: str, row: int, col: str) -> tuple:
+        spreadsheet_id = self._extract_id(url)
+        gid = sheet_gid.strip() or "0"
+        col_idx = col_letter_to_index(col)
+
+        csv_url = (
+            f"https://docs.google.com/spreadsheets/d/{spreadsheet_id}"
+            f"/gviz/tq?tqx=out:csv&gid={gid}"
+        )
+
+        try:
+            response = requests.get(csv_url, timeout=15)
+            response.raise_for_status()
+        except requests.exceptions.HTTPError as e:
+            raise RuntimeError(
+                f"Could not access Google Sheet (HTTP {response.status_code}). "
+                f"Make sure the sheet is shared as 'Anyone with the link can view'. Error: {e}"
+            )
+        except requests.exceptions.RequestException as e:
+            raise RuntimeError(f"Failed to fetch Google Sheet: {e}")
+
+        content = response.content.decode("utf-8")
+        table = list(csv.reader(io.StringIO(content)))
+
+        row_idx = row - 1
+
+        if row_idx >= len(table):
+            raise ValueError(f"Row {row} is out of range — the sheet has {len(table)} rows.")
+
+        row_data = table[row_idx]
+        if col_idx >= len(row_data):
+            raise ValueError(
+                f"Column '{col.upper()}' is out of range — row {row} has {len(row_data)} columns."
+            )
+
+        return (str(row_data[col_idx]),)
+
+    def _extract_id(self, url: str) -> str:
+        match = re.search(r"/d/([a-zA-Z0-9-_]+)", url)
+        if match:
+            return match.group(1)
+        if re.match(r"^[a-zA-Z0-9-_]+$", url.strip()):
+            return url.strip()
+        raise ValueError(
+            "Could not extract spreadsheet ID. Please provide a full Google Sheets URL."
+        )
+
+
+NODE_CLASS_MAPPINGS = {"SFGoogleSheetCell": SFGoogleSheetCell}
+NODE_DISPLAY_NAME_MAPPINGS = {"SFGoogleSheetCell": "SF Google Sheet Cell"}

py/sf_google_sheet_prompt_queue.py

@@ -0,0 +1,227 @@
+# ABOUTME: Dispatches prompts from a Google Sheet column, skipping rows already marked done
+# ABOUTME: Status marks are written manually in the sheet; this node only reads
+
+import csv
+import io
+import re
+
+import requests
+
+from .sf_google_sheet_cell import col_letter_to_index
+
+
+def extract_spreadsheet_id(url: str) -> str:
+    match = re.search(r"/d/([a-zA-Z0-9-_]+)", url)
+    if match:
+        return match.group(1)
+    if re.match(r"^[a-zA-Z0-9-_]+$", url.strip()):
+        return url.strip()
+    raise ValueError(
+        "Could not extract spreadsheet ID. Please provide a full Google Sheets URL."
+    )
+
+
+def fetch_rows(url: str, gid: str) -> list:
+    """Reads a publicly shared sheet tab as a list of rows."""
+    spreadsheet_id = extract_spreadsheet_id(url)
+    gid = (gid or "0").strip() or "0"
+
+    csv_url = (
+        f"https://docs.google.com/spreadsheets/d/{spreadsheet_id}"
+        f"/gviz/tq?tqx=out:csv&gid={gid}"
+    )
+
+    try:
+        response = requests.get(csv_url, timeout=15)
+        response.raise_for_status()
+    except requests.exceptions.HTTPError as e:
+        raise RuntimeError(
+            f"Could not access Google Sheet (HTTP {response.status_code}). "
+            f"Make sure it is shared as 'Anyone with the link can view'. Error: {e}"
+        )
+    except requests.exceptions.RequestException as e:
+        raise RuntimeError(f"Failed to fetch Google Sheet: {e}")
+
+    return list(csv.reader(io.StringIO(response.content.decode("utf-8"))))
+
+
+def scan_rows(rows, prompt_idx, status_idx, skip_first_row, max_rows=None):
+    """Walks the sheet and returns (pending, total).
+
+    `pending` is [(sheet_row_number, prompt), ...] for rows whose status cell is
+    empty, capped at `max_rows` when given. `total` counts every prompt found.
+    Scanning stops at the first row with an empty prompt cell.
+    """
+    pending = []
+    total = 0
+    start = 1 if skip_first_row else 0
+
+    for offset in range(start, len(rows)):
+        row = rows[offset]
+        prompt = row[prompt_idx].strip() if prompt_idx < len(row) else ""
+        if not prompt:
+            break
+
+        total += 1
+        status = row[status_idx].strip() if status_idx < len(row) else ""
+        if status:
+            continue
+
+        if max_rows is None or len(pending) < max_rows:
+            pending.append((offset + 1, prompt))
+
+    return pending, total
+
+
+class SFGoogleSheetPromptQueue:
+    """
+    Sends unfinished prompts from a Google Sheet downstream as a batch.
+
+    Reads prompts from one column and checks a second column for a completion
+    mark. Rows with anything written in the status column are skipped, so each
+    run picks up where the last one left off. Clearing a status cell in the
+    browser queues that row again.
+    """
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "url": (
+                    "STRING",
+                    {
+                        "multiline": False,
+                        "default": "https://docs.google.com/spreadsheets/d/.../edit",
+                        "tooltip": (
+                            "Full Google Sheets URL. "
+                            "The sheet must be shared: Share → Anyone with the link → Viewer."
+                        ),
+                    },
+                ),
+                "sheet_gid": (
+                    "STRING",
+                    {
+                        "default": "0",
+                        "tooltip": (
+                            "Sheet tab GID — the number after '#gid=' in the URL. "
+                            "Use 0 for the first tab."
+                        ),
+                    },
+                ),
+                "prompt_col": (
+                    "STRING",
+                    {"default": "A", "tooltip": "Column holding the prompts (e.g. A)."},
+                ),
+                "status_col": (
+                    "STRING",
+                    {
+                        "default": "B",
+                        "tooltip": (
+                            "Column you mark by hand when a prompt is finished. "
+                            "Any text at all (done, x, executed) means skip that row."
+                        ),
+                    },
+                ),
+                "skip_first_row": (
+                    "BOOLEAN",
+                    {
+                        "default": True,
+                        "tooltip": "Ignore row 1, which is usually a header.",
+                    },
+                ),
+                "max_rows": (
+                    "INT",
+                    {
+                        "default": 10,
+                        "min": 1,
+                        "max": 500,
+                        "step": 1,
+                        "tooltip": "Most prompts to send in a single run.",
+                    },
+                ),
+            }
+        }
+
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("prompt",)
+    OUTPUT_IS_LIST = (True,)
+    FUNCTION = "dispatch"
+    CATEGORY = "Stillfront/Utils"
+
+    DESCRIPTION = """
+Sends every unfinished prompt from a Google Sheet column downstream — the graph
+runs once per prompt, up to **max_rows** prompts per run.
+
+A row is treated as finished when its **status_col** cell contains any text at
+all. Write `done` next to a prompt in the sheet and the next run skips it; clear
+the cell and it gets queued again. Scanning stops at the first empty prompt cell.
+
+The sheet is re-read fresh on every run, so edits you make in the browser are
+always picked up. **Refresh sheet** is optional — it reports how many prompts
+are pending without having to run the graph.
+"""
+
+    @classmethod
+    def IS_CHANGED(cls, **kwargs):
+        # The sheet changes outside ComfyUI, so never serve a cached result.
+        return float("nan")
+
+    def dispatch(self, url, sheet_gid, prompt_col, status_col, skip_first_row, max_rows):
+        prompt_idx = col_letter_to_index(prompt_col)
+        status_idx = col_letter_to_index(status_col)
+        if prompt_idx == status_idx:
+            raise ValueError(
+                f"prompt_col and status_col are both '{prompt_col.upper()}'. They must differ."
+            )
+
+        rows = fetch_rows(url, sheet_gid)
+        pending, total = scan_rows(rows, prompt_idx, status_idx, skip_first_row, max_rows)
+
+        if not pending:
+            if total == 0:
+                raise ValueError(
+                    f"No prompts found in column {prompt_col.upper()}. Check the column "
+                    f"letter, the sheet GID, and the skip_first_row setting."
+                )
+            raise ValueError(
+                f"Nothing left to run — all {total} prompt(s) in column "
+                f"{prompt_col.upper()} are marked in column {status_col.upper()}. "
+                f"Clear those cells in the sheet to queue them again."
+            )
+
+        print(
+            f"[SF Google Sheet Prompt Queue] Sending {len(pending)} of {total} prompt(s), "
+            f"rows {pending[0][0]}-{pending[-1][0]}."
+        )
+        return ([prompt for _, prompt in pending],)
+
+
+NODE_CLASS_MAPPINGS = {"SFGoogleSheetPromptQueue": SFGoogleSheetPromptQueue}
+NODE_DISPLAY_NAME_MAPPINGS = {"SFGoogleSheetPromptQueue": "SF Google Sheet Prompt Queue"}
+
+
+# --- Server route backing the node's Refresh button ---------------------------
+
+try:
+    from aiohttp import web
+    from server import PromptServer
+
+    @PromptServer.instance.routes.post("/sf_gsheet/preview")
+    async def _preview(request):
+        body = await request.json()
+        try:
+            rows = fetch_rows(body.get("url", ""), body.get("sheet_gid", "0"))
+            pending, total = scan_rows(
+                rows,
+                col_letter_to_index(body.get("prompt_col", "A")),
+                col_letter_to_index(body.get("status_col", "B")),
+                bool(body.get("skip_first_row", True)),
+            )
+            return web.json_response(
+                {"ok": True, "total": total, "pending": len(pending)}
+            )
+        except Exception as e:
+            return web.json_response({"ok": False, "error": str(e)})
+
+except ImportError:
+    pass

py/sf_google_sheet_range.py

@@ -0,0 +1,162 @@
+import csv
+import io
+import re
+import requests
+
+from .sf_google_sheet_cell import col_letter_to_index
+
+
+class SFGoogleSheetRange:
+    """
+    Reads a range of cells from a publicly shared Google Sheet and joins them
+    into a single string using a configurable delimiter.
+    Cells are read left to right, top to bottom.
+    Row numbers are 1-indexed. Columns use letter notation (A, B, C, ...) matching Google Sheets.
+    The sheet must be shared as "Anyone with the link can view."
+    """
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "url": (
+                    "STRING",
+                    {
+                        "multiline": False,
+                        "default": "https://docs.google.com/spreadsheets/d/.../edit",
+                        "tooltip": (
+                            "Full Google Sheets URL. "
+                            "The sheet must be shared: Share → Anyone with the link → Viewer."
+                        ),
+                    },
+                ),
+                "sheet_gid": (
+                    "STRING",
+                    {
+                        "default": "0",
+                        "tooltip": (
+                            "Sheet tab GID — found in the URL after '#gid='. "
+                            "Use 0 for the first/default sheet."
+                        ),
+                    },
+                ),
+                "start_row": (
+                    "INT",
+                    {
+                        "default": 1,
+                        "min": 1,
+                        "step": 1,
+                        "tooltip": "First row of the range (1 = first row in the sheet).",
+                    },
+                ),
+                "start_col": (
+                    "STRING",
+                    {
+                        "default": "A",
+                        "tooltip": "First column of the range (e.g. A, B, C, AA, ...).",
+                    },
+                ),
+                "end_row": (
+                    "INT",
+                    {
+                        "default": 1,
+                        "min": 1,
+                        "step": 1,
+                        "tooltip": "Last row of the range (inclusive).",
+                    },
+                ),
+                "end_col": (
+                    "STRING",
+                    {
+                        "default": "A",
+                        "tooltip": "Last column of the range (inclusive, e.g. A, B, C, AA, ...).",
+                    },
+                ),
+                "delimiter": (
+                    "STRING",
+                    {
+                        "default": ", ",
+                        "multiline": False,
+                        "tooltip": (
+                            "String placed between each cell value in the output. "
+                            "Can be typed directly or connected from another string node."
+                        ),
+                    },
+                ),
+            }
+        }
+
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("text",)
+    FUNCTION = "get_range"
+    CATEGORY = "Stillfront/Utils"
+
+    def get_range(
+        self,
+        url: str,
+        sheet_gid: str,
+        start_row: int,
+        start_col: str,
+        end_row: int,
+        end_col: str,
+        delimiter: str,
+    ) -> tuple:
+        start_col_idx = col_letter_to_index(start_col)
+        end_col_idx = col_letter_to_index(end_col)
+
+        if start_row > end_row:
+            raise ValueError(f"start_row ({start_row}) must be ≤ end_row ({end_row}).")
+        if start_col_idx > end_col_idx:
+            raise ValueError(
+                f"start_col '{start_col.upper()}' must be ≤ end_col '{end_col.upper()}'."
+            )
+
+        table = self._fetch_sheet(url, sheet_gid)
+
+        cells = []
+        for r in range(start_row - 1, end_row):
+            if r >= len(table):
+                break
+            row_data = table[r]
+            for c in range(start_col_idx, end_col_idx + 1):
+                value = row_data[c] if c < len(row_data) else ""
+                cells.append(str(value))
+
+        return (delimiter.join(cells),)
+
+    def _fetch_sheet(self, url: str, sheet_gid: str) -> list:
+        spreadsheet_id = self._extract_id(url)
+        gid = sheet_gid.strip() or "0"
+
+        csv_url = (
+            f"https://docs.google.com/spreadsheets/d/{spreadsheet_id}"
+            f"/gviz/tq?tqx=out:csv&gid={gid}"
+        )
+
+        try:
+            response = requests.get(csv_url, timeout=15)
+            response.raise_for_status()
+        except requests.exceptions.HTTPError as e:
+            raise RuntimeError(
+                f"Could not access Google Sheet (HTTP {response.status_code}). "
+                f"Make sure the sheet is shared as 'Anyone with the link can view'. Error: {e}"
+            )
+        except requests.exceptions.RequestException as e:
+            raise RuntimeError(f"Failed to fetch Google Sheet: {e}")
+
+        content = response.content.decode("utf-8")
+        return list(csv.reader(io.StringIO(content)))
+
+    def _extract_id(self, url: str) -> str:
+        match = re.search(r"/d/([a-zA-Z0-9-_]+)", url)
+        if match:
+            return match.group(1)
+        if re.match(r"^[a-zA-Z0-9-_]+$", url.strip()):
+            return url.strip()
+        raise ValueError(
+            "Could not extract spreadsheet ID. Please provide a full Google Sheets URL."
+        )
+
+
+NODE_CLASS_MAPPINGS = {"SFGoogleSheetRange": SFGoogleSheetRange}
+NODE_DISPLAY_NAME_MAPPINGS = {"SFGoogleSheetRange": "SF Google Sheet Range"}

py/sf_version_check.py

@@ -0,0 +1,16 @@
+class SFVersionCheck:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {"required": {}}
+
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("version",)
+    FUNCTION = "get_version"
+    CATEGORY = "Stillfront/Utils"
+
+    def get_version(self):
+        return ("SF ComfyUI Nodes v1.0.2",)
+
+
+NODE_CLASS_MAPPINGS = {"SFVersionCheck": SFVersionCheck}
+NODE_DISPLAY_NAME_MAPPINGS = {"SFVersionCheck": "SF Version Check"}

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-sf-nodes"
 description = "Custom nodes for ComfyUI including LLM Chat with support for Claude, Gemini, and OpenAI models, WaveSpeed AI image/video generation, VertexAI integration, and workflow utilities"
-version = "1.0.1"
+version = "1.0.10"
 license = { file = "LICENSE" }
 dependencies = [
     "requests>=2.31.0",
@@ -19,4 +19,4 @@ Repository = "https://github.com/Stillfront/comfyui-sf-nodes"
 [tool.comfy]
 PublisherId = "sf"
 DisplayName = "SF ComfyUI Nodes"
-Icon = ""
+Icon = "https://raw.githubusercontent.com/Stillfront/comfyui-sf-nodes/main/assets/logo.png"

web/js/sf_google_sheet_prompt_queue.js

@@ -0,0 +1,75 @@
+/**
+ * SF Google Sheet Prompt Queue — adds a Refresh button that re-reads the sheet
+ * and reports how many prompts are still waiting to run.
+ */
+
+import { app } from "../../../scripts/app.js";
+import { api } from "../../../scripts/api.js";
+
+const NODE_NAME = "SFGoogleSheetPromptQueue";
+
+function widgetValue(node, name, fallback) {
+    const widget = node.widgets?.find((w) => w.name === name);
+    return widget ? widget.value : fallback;
+}
+
+app.registerExtension({
+    name: "Stillfront.GoogleSheetPromptQueue",
+
+    async beforeRegisterNodeDef(nodeType, nodeData) {
+        if (nodeData.name !== NODE_NAME) {
+            return;
+        }
+
+        const onNodeCreated = nodeType.prototype.onNodeCreated;
+        nodeType.prototype.onNodeCreated = function () {
+            const result = onNodeCreated ? onNodeCreated.apply(this, arguments) : undefined;
+            const node = this;
+
+            const status = node.addWidget("text", "", "Press Refresh to read the sheet", () => {});
+            status.disabled = true;
+            status.serialize = false;
+
+            const setStatus = (text) => {
+                status.value = text;
+                node.setDirtyCanvas(true, false);
+            };
+
+            const refreshButton = node.addWidget("button", "Refresh sheet", null, async () => {
+                setStatus("Reading sheet…");
+                try {
+                    const response = await api.fetchApi("/sf_gsheet/preview", {
+                        method: "POST",
+                        headers: { "Content-Type": "application/json" },
+                        body: JSON.stringify({
+                            url: widgetValue(node, "url", ""),
+                            sheet_gid: widgetValue(node, "sheet_gid", "0"),
+                            prompt_col: widgetValue(node, "prompt_col", "A"),
+                            status_col: widgetValue(node, "status_col", "B"),
+                            skip_first_row: widgetValue(node, "skip_first_row", true),
+                        }),
+                    });
+                    const data = await response.json();
+
+                    if (!data.ok) {
+                        setStatus(`Error: ${data.error}`);
+                        return;
+                    }
+
+                    const cap = widgetValue(node, "max_rows", 10);
+                    const willSend = Math.min(data.pending, cap);
+                    setStatus(
+                        data.pending === 0
+                            ? `Nothing pending — all ${data.total} prompt(s) marked`
+                            : `${data.pending} pending of ${data.total} — next run sends ${willSend}`
+                    );
+                } catch (e) {
+                    setStatus("Could not reach ComfyUI server");
+                }
+            });
+            refreshButton.serialize = false;
+
+            return result;
+        };
+    },
+});