clip-interrogator/README.md

clip-interrogator

Want to figure out what a good prompt might be to create new images like an existing one? The CLIP Interrogator is here to get you answers!

Run it!

Run Version 2 on Colab, HuggingFace, and Replicate!

Version 1 still available in Colab for comparing different CLIP models

About

The CLIP Interrogator is a prompt engineering tool that combines OpenAI's CLIP and Salesforce's BLIP to optimize text prompts to match a given image. Use the resulting prompts with text-to-image models like Stable Diffusion on DreamStudio to create cool art!

Using as a library

Create and activate a Python virtual environment

python3 -m venv ci_env
(for linux  ) source ci_env/bin/activate
(for windows) .\ci_env\Scripts\activate

Install with PIP

# install torch with GPU support for example:
pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu117

# install blip and clip-interrogator
pip install -e git+https://github.com/pharmapsychotic/BLIP.git@lib#egg=blip
pip install clip-interrogator

You can then use it in your script

from PIL import Image
from clip_interrogator import Interrogator, Config
image = Image.open(image_path).convert('RGB')
ci = Interrogator(Config(clip_model_name="ViT-L-14/openai"))
print(ci.interrogate(image))

CLIP Interrogator uses OpenCLIP which supports many different pretrained CLIP models. For the best prompts for Stable Diffusion 1.X use ViT-L-14/openai for clip_model_name. For Stable Diffusion 2.0 use ViT-H-14/laion2b_s32b_b79k