FLUX.1-dev-IP-Adapter
| Property | Value |
|---|---|
| License | flux-1-dev-non-commercial-license |
| Base Model | black-forest-labs/FLUX.1-dev |
| Training Dataset | 10M samples |
| Image Encoder | google/siglip-so400m-patch14-384 |
What is FLUX.1-dev-IP-Adapter?
FLUX.1-dev-IP-Adapter is an advanced image-to-text adaptation model developed by InstantX Team. It integrates IP-Adapter technology with the FLUX.1-dev base model, enabling sophisticated image-guided text-to-image generation. The model employs a unique architecture where images are processed similarly to text inputs, allowing for seamless integration without interference in the generation process.
Implementation Details
The model architecture features 38 single and 19 double blocks with additional layers for image processing. It utilizes the SiglipVisionModel for image encoding and implements a straightforward MLPProjModel with 2 linear layers for projection. The system processes 128 image tokens and was trained for 80K steps with a batch size of 128.
- Advanced image encoding using google/siglip-so400m-patch14-384
- MLPProjModel architecture with dual linear layers
- 128 image token processing capability
- Trained on 10M sample dataset
Core Capabilities
- Image-guided text-to-image generation
- Seamless integration with text prompts
- Support for LoRA implementations
- Flexible image reference processing
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its ability to process images as text-like inputs, allowing for natural integration in the generation pipeline without conflicting with text prompts. It uses the superior SiglipVisionModel for image encoding, setting it apart from conventional IP-Adapters.
Q: What are the recommended use cases?
The model excels in image-guided generation tasks but is not specifically designed for fine-grained style transfer or strict character consistency. It's best suited for general image reference tasks where some creative interpretation is desired.
