BLIP-Large-Long-Cap
| Property | Value |
|---|---|
| Parameter Count | 470M |
| License | BSD-3-Clause |
| Tensor Type | F32 |
| Downloads | 16,783 |
What is blip-large-long-cap?
BLIP-Large-Long-Cap is a specialized image captioning model fine-tuned from the original BLIP architecture, specifically designed to generate detailed, long-form descriptions of images. It's particularly well-suited for creating prompts for text-to-image generation and dataset captioning tasks.
Implementation Details
Built on the Salesforce BLIP architecture, this model supports both conditional and unconditional image captioning. It can be deployed on both CPU and GPU environments, with options for full precision and half-precision (float16) inference on GPU.
- Supports maximum caption length of 300 tokens
- Trained on the LAION-14k-GPT4V-LIVIS-Captions dataset
- Implements transformer-based architecture for efficient processing
Core Capabilities
- Generation of detailed, long-form image descriptions
- Flexible deployment options (CPU/GPU)
- Support for both conditional and unconditional captioning
- Optimized for text-to-image workflow integration
Frequently Asked Questions
Q: What makes this model unique?
This model specializes in generating lengthy, detailed captions that are particularly useful for text-to-image generation workflows, setting it apart from standard image captioning models that typically produce shorter descriptions.
Q: What are the recommended use cases?
The model is ideal for creating detailed image descriptions for dataset annotation, generating prompts for text-to-image models, and applications requiring comprehensive image understanding and description generation.
