HiDream-I1-Full-nf4
| Property | Value |
|---|---|
| Parameters | 17B |
| License | MIT |
| Minimum VRAM | 16GB |
| Model Type | Image Generation |
| Author | azaneko |
| HuggingFace | Link |
What is HiDream-I1-Full-nf4?
HiDream-I1-Full-nf4 is a 4-bit quantized version of the powerful HiDream-I1 image generation model. This optimization allows the full 17B parameter model to run on consumer-grade hardware with just 16GB of VRAM while maintaining state-of-the-art image generation capabilities.
Implementation Details
The model employs advanced quantization techniques to reduce memory requirements while preserving generation quality. It requires 50 inference steps for full generation and is compatible with NVIDIA Ampere architecture or newer GPUs.
- 4-bit quantization for efficient memory usage
- Supports both CPU and GPU execution
- Requires Python environment with specific dependencies
- Integrates with HuggingFace's Llama-3.1-8B-Instruct model for enhanced capabilities
Core Capabilities
- High-quality image generation within seconds
- Multiple model variants (Full, Dev, Fast) for different speed/quality tradeoffs
- Command-line interface for easy usage
- Interactive web dashboard for visual control
- Automated model weight downloading and management
Frequently Asked Questions
Q: What makes this model unique?
The model's key distinction is its ability to run a 17B parameter model on consumer hardware through efficient 4-bit quantization while maintaining high-quality output. This makes state-of-the-art image generation accessible to users with standard GPU setups.
Q: What are the recommended use cases?
The model is ideal for users needing high-quality image generation with limited GPU resources. It's particularly suitable for creative professionals, developers, and researchers who require state-of-the-art image generation capabilities but don't have access to enterprise-grade hardware.
