Image generation model for fast, high-quality results
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HiDream-I1 is a 17B parameter open-source image generation model designed for high-quality, fast image synthesis. It targets researchers and developers seeking state-of-the-art text-to-image capabilities, offering multiple model versions for varying speed and quality trade-offs.
How It Works
HiDream-I1 utilizes a diffusion model architecture, leveraging the Llama-3.1-8B-Instruct model as its text encoder. This approach allows for strong semantic understanding and control over image generation. The model offers distilled versions (Dev and Fast) for reduced inference steps and faster generation times, while the full version provides maximum quality.
Quick Start & Requirements
pip install -r requirements.txt
followed by pip install -U flash-attn --no-build-isolation
.huggingface-cli login
../inference.py --model_type {full, dev, fast}
.pip install git+https://github.com/huggingface/diffusers.git
) for seamless integration.python gradio_demo.py
.Highlighted Details
diffusers
library.Maintenance & Community
Licensing & Compatibility
Limitations & Caveats
The model requires significant GPU resources for inference, particularly the full version. Automatic model downloading depends on Hugging Face account access and agreement to Llama-3.1-8B-Instruct license terms.
2 weeks ago
1 day