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 # Warning: Pipeline type "image-to-image" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-image", model="stepfun-ai/NextStep-1-Large-Edit", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("stepfun-ai/NextStep-1-Large-Edit", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add pipeline tag and library name
Verified signatureThis PR improves the model card by adding the `pipeline_tag` and `library_name` to the metadata. These additions ensure: - The model is correctly categorized as `image-to-image` pipeline, enhancing its discoverability on the Hub. - Users are aware that the model is compatible with the `transformers` library, providing a familiar interface for interaction.ba992f4
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Update README.md
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Fix typo in README.md (#1)
Verified signature- Fix typo in README.md (b9bc6cc10efe65765c0ac7c4a83a5693e2fb6985) Co-authored-by: Malte0621 <Malte0621@users.noreply.huggingface.co>35e8e93 -
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