Instructions to use stepfun-ai/NextStep-1-Large-Edit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stepfun-ai/NextStep-1-Large-Edit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="stepfun-ai/NextStep-1-Large-Edit", trust_remote_code=True, device_map="auto")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("stepfun-ai/NextStep-1-Large-Edit", trust_remote_code=True, dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1e0cea3240fad2879bfb516698c353cc56951a82056a7d7b4a38a7936cefb8c
- Size of remote file:
- 11.4 MB
- SHA256:
- 310b48c809fba04c32e7f7cdac4d0fb1c00140d8914e0b0163307f64e5330a92
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