Instructions to use stepfun-ai/Step1X-Edit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stepfun-ai/Step1X-Edit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="stepfun-ai/Step1X-Edit")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stepfun-ai/Step1X-Edit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60efe458a5a84cfa10c871dcfc407c22ff4341525123772b9706ac827bf7001a
- Size of remote file:
- 24.9 GB
- SHA256:
- f378db311e6db3535bbed367160fda7f65661c1d2474cffeaded47288c00a24a
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