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
Upload folder using huggingface_hub
Browse files- vae.safetensors +3 -0
vae.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:afc8e28272cd15db3919bacdb6918ce9c1ed22e96cb12c4d5ed0fba823529e38
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size 335304388
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