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hannalaguilar/
blip-all-clothing

Name: blip-all-clothing
Availability: InStock

transformers

safetensors

endpoints_compatible

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GarmentBLIP

Captioning model for garments.

Usage

python

import requests
from PIL import Image
from transformers import BlipProcessor, BlipForConditionalGeneration

# Load BLIP processor and model
processor = BlipProcessor.from_pretrained("hannalaguilar/blip-all-clothing")
model = BlipForConditionalGeneration.from_pretrained("hannalaguilar/blip-all-clothing")

# Load model
img_path = 'tshirt.jpg' 
image = Image.open(img_path).convert('RGB')


# Process the image
inputs = processor(images=image, return_tensors="pt")

# Generate captions
outputs = model.generate(**inputs)
caption = processor.decode(outputs[0], skip_special_tokens=True)
print("Generated Caption:", caption)

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