model_data_json/Alpha-VLLM_Lumina-Image-2.0.json

{
    "model_id": "Alpha-VLLM/Lumina-Image-2.0",
    "downloads": 10219,
    "tags": [
        "diffusers",
        "safetensors",
        "text-to-image",
        "arxiv:2503.21758",
        "license:apache-2.0",
        "diffusers:Lumina2Pipeline",
        "region:us"
    ],
    "description": "--- pipeline_tag: text-to-image library_name: diffusers license: apache-2.0 --- !Lumina-Image 2.0 Lumina-Image-2.0 is a 2 billion parameter flow-based diffusion transformer capable of generating images from text descriptions. For more information, visit our GitHub. ## Gradio Demo We provide an official Gradio demo. You can use the link we provided to try it out. ## Usage This is a Hugging Face Diffusers implementation of the paper Lumina-Image 2.0: A Unified and Efficient Image Generative Framework. ## Citation If you find the provided code or models useful for your research, consider citing them as:",
    "model_explanation_gemini": "Generates images from text descriptions using a 2B parameter flow-based diffusion transformer.  \n\nFeatures:  \n- Text-to-image generation  \n- 2 billion parameter architecture  \n- Flow-based diffusion transformer  \n- Hugging Face Diffusers implementation  \n\nComparison: Not explicitly compared to other models in the description.",
    "release_year": "2024",
    "parameter_count": null,
    "is_fine_tuned": false,
    "category": "Diffusion",
    "api_enhanced": true
}