easygoing0114
7f5efefde1
new file: __pycache__/__init__.cpython-314.pyc new file: __pycache__/nodes.cpython-314.pyc modified: nodes.py deleted: __pycache__/__init__.cpython-314.pyc deleted: __pycache__/nodes.cpython-314.pyc modified: pyproject.toml
ComfyUI-cliption-integrated
A streamlined fork of pharmapsychotic/comfy-cliption for ComfyUI, providing a single, integrated CLIPtion Beam Search node.
CLIPtion is a fast, lightweight image captioning model built on top of CLIP. This fork simplifies the original node pack down to the beam-search workflow only.
Node
CLIPtion Beam Search (Integrated)
Loads the CLIPtion decoder on demand at caption time (rather than at workflow-load time) and runs beam search to caption an image, ranking the resulting candidates by CLIP similarity to the input image.
Inputs
| Name | Type | Description |
|---|---|---|
clip |
CLIP |
CLIP text encoder (must include CLIP-L). |
clip_vision |
CLIP_VISION |
CLIP vision encoder (must be CLIP-L). |
image |
IMAGE |
Image(s) to caption. |
beam_width |
INT |
Number of beams to maintain during search (default: 4). |
unload_after_run |
BOOLEAN |
Unload the CLIPtion decoder from VRAM after captioning (default: False). |
device (optional) |
["default", "cpu"] |
Inference device override. |
Output
| Name | Type | Description |
|---|---|---|
STRING |
STRING (list) |
One caption per input image. |
The CLIPtion decoder weights (CLIPtion_20241219_fp16.safetensors) are downloaded automatically from pharmapsychotic/CLIPtion on Hugging Face the first time the node runs, and are cached on disk afterwards.
Installation
cd ComfyUI/custom_nodes
git clone https://github.com/easygoing0114/ComfyUI-cliption-integrated.git
Restart ComfyUI. The node should now appear in the node search as CLIPtion Beam Search (Integrated).
Credits
- pharmapsychotic/comfy-cliption — original ComfyUI node pack this fork is based on.
- pharmapsychotic/CLIPtion — the underlying CLIPtion model.
License
This project is licensed under the MIT License.