Based on GroundingDino and SAM, use semantic strings to segment any element in an image. The comfyui version of sd-webui-segment-anything.
This project is a ComfyUI version of
https://github.com/continue-revolution/sd-webui-segment-anything
. At present, only the most core functionalities have been implemented. I would like to express my gratitude to continue-revolution for their preceding work on which this is based.
I have ensured consistency with sd-webui-segment-anything
in terms of output when given the same input.
Please ensure that you have installed Python dependencies using the following command:
pip3 install -r requirements.txt
The models will be automatically downloaded when used. You can also manually download them according to the table below. If the automatic download is slow, you can set the HTTP_PROXY
and HTTPS_PROXY
environment variables to use a proxy.
You can download the model from https://huggingface.co/bert-base-uncased/tree/main into the models/bert-base-uncased
folder located in the root directory of ComfyUI, like this:
ComfyUI
models
bert-base-uncased
config.json
model.safetensors
tokenizer_config.json
tokenizer.json
vocab.txt
You can also skip this step. During the inference process, bert-base-uncased
will be automatically downloaded through the transformers
library, and its directory is typically ~/.cache/huggingface/hub/models--bert-base-uncased
.
Please directly download the models and configuration files to the models/grounding-dino
directory under the ComfyUI root directory, without modifying the file names.
| name | size | config file | model file |
|-|-|-|-|
| GroundingDINO_SwinT_OGC | 694MB | download link | download link |
| GroundingDINO_SwinB | 938MB | download link | download link |
Please directly download the model files to the models/sams
directory under the ComfyUI root directory, without modifying the file names.
| name | size | model file |
|-|-|-|
| sam_vit_h | 2.56GB |download link |
| sam_vit_l | 1.25GB |download link |
| sam_vit_b | 375MB |download link |
| sam_hq_vit_h | 2.57GB |download link |
| sam_hq_vit_l | 1.25GB |download link |
| sam_hq_vit_b | 379MB |download link |
| mobile_sam | 39MB |download link |
Thank you for considering to help out with the source code! Welcome contributions from anyone on the internet, and are grateful for even the smallest of fixes!
If you'd like to contribute to this project, please fork, fix, commit and send a pull request for me to review and merge into the main code base.