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
Download assets/visual_compare2.png from EasonXiao-888/SpatialEdit-16B: direct link, hf CLI and curl.
- Browser
- Download file 719 kB
-
https://huggingface.co/EasonXiao-888/SpatialEdit-16B/resolve/main/assets/visual_compare2.png
- Command line
-
hf download hf://EasonXiao-888/SpatialEdit-16B/assets/visual_compare2.png
-
curl -L -o visual_compare2.png https://huggingface.co/EasonXiao-888/SpatialEdit-16B/resolve/main/assets/visual_compare2.png
719 kB

- Xet hash:
- f185e41d674a050f2e1ccd919051a56b36a497d2a1711f80a0ca20fdac8e4b4b
- Size of remote file:
- 719 kB
- SHA256:
- 8681154a507af0423f49123f451607e8e8bc06988fb6e70dc28adc5e59aecf6f
·
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