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)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("stepfun-ai/NextStep-1-Large-Edit", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and library name
#2
by nielsr HF Staff - opened
This 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-imagepipeline, enhancing its discoverability on the Hub. - Users are aware that the model is compatible with the
transformerslibrary, providing a familiar interface for interaction.
jingwwu changed pull request status to merged