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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)

TareaMúltipleCapacidadesDescripción · Detección de objetos · Generación de texto · Texto a vídeoVersiónRelease 3150842 — detectionImageTo_v22Nodes20.jsonVRAM estimadaNot yet characterizedBcalidad

Perfil de ejecución

Acceso
Flujo externo
Estado
Verificado
Versión
detectionImageTo_v22Nodes20.json
Fuente
Civitai
Actualizado
18 oct 2026

What you need

Model files
0 GiB

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

Requisitos

Paquetes de nodos

1

Comentario generado por IA

Explicación generada por IA basada en los detalles de la fuente y la configuración. Las sugerencias están claramente identificadas.

Propósito

  • 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.

Flujo

  • 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.

Entradas y salidas

  • 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.

Configuración inicial

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

Dependencias

  • The workflow requires the ComfyUI_Eclipse node pack.

Configuración

  • 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.

    Sugerencia · sin verificar

  • 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.

    Sugerencia · sin verificar

  • 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/.

    Sugerencia · sin verificar

Precauciones

  • 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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Fuentes

1 fuente
CivitaiPrincipalVersión 3150842
civitai.com/models/2736470

Verificado 18 oct

Extractos de fuentes

3 extractos

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

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

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