Instructions to use models123/Step1X-Edit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use models123/Step1X-Edit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="models123/Step1X-Edit")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("models123/Step1X-Edit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f73eecf7c469ff442523dc712cc161d631df071bf4d9d793494fbf00cdd80a82
- Size of remote file:
- 335 MB
- SHA256:
- afc8e28272cd15db3919bacdb6918ce9c1ed22e96cb12c4d5ed0fba823529e38
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