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Detection / Image to Prompt — v2.2 (Nodes 2.0)

nodes 2.0 layout, requires Eclipse 4.1.30 (fixes some layout issues)

Sourcecivitai.com/models/2736470
TaskMultiCapabilitiesCaptioning · Object detection · Text generation · Text to videoVersionRelease 3150842 — detectionImageTo_v22Nodes20.jsonEstimated VRAMNot yet characterizedBgrade

Runtime profile

Access
External workflow
Status
Verified
Version
detectionImageTo_v22Nodes20.json
Source
Civitai
Updated
Oct 18, 2026

What you need

Model files
0 GiB

Remaining hardware or download-size estimates are not available yet.

Requirements

Node packs

1

AI-generated commentary

AI-generated explanation based on source and configuration details. Suggestions are clearly labeled.

Purpose

  • This workflow is for analyzing images and creating text: it accepts a single image, a folder of images, video frames, or text prompts and themes, and can produce captions, tags, object detections and masks, timeline prompts, prompt variations, lyrics, and chat responses.

Flow

  • Load one image directly or choose a folder or video; for folder or video input, Image Selector lets you choose files or frames before the active image is routed to Detection, Image to Prompt, and Timeline Prompts.

  • Named Set/Get channels share the image with those groups, while Prompt Variations, Song Lyrics, and Direct Chat use text prompts, themes, or selected system prompts.

Inputs and outputs

  • Image to Prompt displays image descriptions and comma-separated tags in Show Text; Detection shows textual results, isolated regions, and binary masks.

  • Timeline Prompts produces time-coded descriptions for video models such as Wan2.1 and LTX-Video; Prompt Variations expands a seed prompt into three variations.

  • Song Lyrics creates lyrics or poetry from user-supplied themes, and Direct Chat displays responses from the selected language or vision-language model.

Setup

  • Eclipse 4.1.30 is listed as a requirement for the Nodes 2.0 layout.

Dependencies

  • The workflow requires the ComfyUI_Eclipse node pack.

Configuration

  • For batch image tagging, switch to Folder Mode and enter a folder path; bypass Image Selector to process files sequentially, or leave it active to choose files when prompted.

    Suggestion · not verified

  • Choose a vision-language model in Smart LM Loader for image descriptions, and enter a query such as “face, hair” in detection_prompt for object detection.

    Suggestion · not verified

  • For Docker-based backends, configure Hugging Face, GGUF, or Ollama credentials in config.json; the guide places local GGUF and Transformers models in models/llms/ or models/text_encoders/.

    Suggestion · not verified

Cautions

  • The two parallel Image to Prompt loaders are a demonstration; captioning and tag generation can instead run sequentially in one loader.

  • No license is specified for this workflow.

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Sources

1 source
CivitaiPrimaryVersion 3150842
civitai.com/models/2736470

Verified Oct 18

Source excerpts

3 excerpts
NoteOct 18civitai.com/models/2736470

Source context: 356 downloads · Type Workflows · Base model Other

NoteAug 5civitai.com/models/2736470

Source context: 195 downloads · Type Workflows · Base model Other

NoteJul 28civitai.com/models/2736470

Source context: 151 downloads · Type Workflows · Base model Other