HiDream-ai

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HiDream.ai 1.01k

This PR aims to improve the model card by:

• Refining the pipeline_tag from any-to-any to image-to-image. This more accurately reflects the model's core functionality in instruction-guided image editing and will improve its discoverability on the Hugging Face Hub (https://huggingface.co/models?pipeline_tag=image-to-image).
• Adding a direct link to the research paper, Visual Autoregressive Modeling for Instruction-Guided Image Editing, to the model card content.

Please note that library_name: transformers has not been added, despite some transformers-related files (config.json, tokenizer_config.json) being present. This decision is based on the provided Basic Usage code, which demonstrates a custom infer.py workflow for model loading and image generation. Adding library_name: transformers would imply direct compatibility with transformers.AutoModel for the image editing task, which is not supported by the current custom inference setup. This ensures that any automated "How to use" widget on the Hub accurately reflects the model's actual usage.