Florence-2-Flux-Large
| Property | Value |
|---|---|
| Parameter Count | 823M |
| License | Apache 2.0 |
| Base Model | Microsoft/Florence-2-large |
| Tensor Type | F32 |
What is Florence-2-Flux-Large?
Florence-2-Flux-Large is an advanced image-text-to-text model built on Microsoft's Florence architecture. This model represents a significant advancement in multimodal AI, capable of processing both images and text to generate detailed descriptions and analyses. With 823M parameters, it leverages transformer architecture and has been trained on the fluxdev_controlnet_16k dataset.
Implementation Details
The model utilizes the Transformers library and requires additional dependencies including flash_attn, timm, and einops. It operates with F32 tensor precision and includes custom code for optimal performance. Implementation is straightforward through the Hugging Face Transformers library, with support for both CPU and CUDA environments.
- Built on Microsoft's Florence-2-large architecture
- Implements custom processing and post-processing pipelines
- Supports batch processing with configurable generation parameters
- Includes built-in image preprocessing capabilities
Core Capabilities
- Detailed image description generation
- Support for high-resolution image processing
- Advanced beam search generation with customizable parameters
- Efficient handling of RGB image inputs
- Flexible prompt engineering with task-specific formatting
Frequently Asked Questions
Q: What makes this model unique?
The model's integration with the Florence-2 architecture and its specialized training on the fluxdev_controlnet_16k dataset makes it particularly effective for detailed image analysis and description tasks. Its 823M parameter size strikes a balance between computational efficiency and performance.
Q: What are the recommended use cases?
This model is ideal for applications requiring detailed image description, art analysis, and general visual content understanding. It's particularly well-suited for applications in content creation, accessibility services, and automated image cataloging.
