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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EasonXiao-888/SpatialEdit-16B", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 6e402cfef38f320cfaf9ca7bf85ded0353cf7e514a07b6e5560293f9455e9c87
- Size of remote file:
- 852 kB
- SHA256:
- cb7b683692f3d9f7f9f54a7c131dd2dc8fe5fba1d549afc0c24168916aad6c1c
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