This is an implementation of a/MiniCPM-V-2_6-int4 by a/ComfyUI, including support for text-based queries, video queries, single-image queries, and multi-image queries to generate captions or responses.
This is an implementation of MiniCPM-V-2_6-int4 by ComfyUI, including support for text-based queries, video queries, single-image queries, and multi-image queries to generate captions or responses.
keep_model_loaded
parameterBy default, this parameter is set to False, which indicates that the model will be unloaded from GPU memory after each prediction is made.
However, if set to True, the model will remain loaded in GPU memory. This is particularly useful when multiple predictions with the same model are needed, eliminating the need to reload it between uses.
seed
parameterThis parameter enables the setting of a random seed for the purpose of ensuring reproducibility in results.
<span style="color: green;">Chat_with_text_workflow_legacy preview</span> <span style="color: green;">Chat_with_text_workflow_polished preview</span>
<span style="color: green;">Chat_with_video_workflow_legacy preview</span> <span style="color: green;">Chat_with_video_workflow_polished preview</span>
<span style="color: green;">Chat_with_single_image_workflow_legacy preview</span> <span style="color: green;">Chat_with_single_image_workflow_polished preview</span>
<span style="color: green;">Chat_with_multiple_images_workflow_legacy preview</span> <span style="color: green;">Chat_with_multiple_images_workflow_polished preview</span>
Install from ComfyUI Manager (search for minicpm
)
Download or git clone this repository into the ComfyUI\custom_nodes\
directory and run:
pip install -r requirements.txt
All the models will be downloaded automatically when running the workflow if they are not found in the ComfyUI\models\prompt_generator\
directory.