Instructions to use stepfun-ai/NextStep-1-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stepfun-ai/NextStep-1-Large with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("stepfun-ai/NextStep-1-Large", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
adds pipeline tag for better discoverability :)
Browse files
README.md
CHANGED
|
@@ -1,5 +1,6 @@
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
|
|
|
| 3 |
---
|
| 4 |
|
| 5 |
## NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale
|
|
@@ -93,4 +94,4 @@ If you find NextStep useful for your research and applications, please consider
|
|
| 93 |
journal={arXiv preprint arXiv:2508.10711},
|
| 94 |
year={2025}
|
| 95 |
}
|
| 96 |
-
```
|
|
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
+
pipeline_tag: text-to-image
|
| 4 |
---
|
| 5 |
|
| 6 |
## NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale
|
|
|
|
| 94 |
journal={arXiv preprint arXiv:2508.10711},
|
| 95 |
year={2025}
|
| 96 |
}
|
| 97 |
+
```
|