Image-Text-to-Image
Transformers
Safetensors
image-to-image
image-editing
diffusion
computer-vision
spatial-editing
vision-language
Instructions to use EasonXiao-888/SpatialEdit-16B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EasonXiao-888/SpatialEdit-16B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EasonXiao-888/SpatialEdit-16B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- Training Data: [SpatialEdit-500K](https://huggingface.co/datasets/EasonXiao-888/SpatialEdit-500K)
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- Benchmark: [SpatialEdit-Bench](https://huggingface.co/datasets/EasonXiao-888/SpatialEdit-Bench)
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## Highlights
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- Fine-grained spatial editing from an input image and instruction
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- Training Data: [SpatialEdit-500K](https://huggingface.co/datasets/EasonXiao-888/SpatialEdit-500K)
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- Benchmark: [SpatialEdit-Bench](https://huggingface.co/datasets/EasonXiao-888/SpatialEdit-Bench)
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https://cdn-uploads.huggingface.co/production/uploads/656a12a3d848a6683a6dfb9e/uMD0fka9fN5iBfSNgmDsj.mp4
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## Highlights
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- Fine-grained spatial editing from an input image and instruction
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