Instructions to use rkfg/Step1X-Edit-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rkfg/Step1X-Edit-FP8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="rkfg/Step1X-Edit-FP8")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rkfg/Step1X-Edit-FP8", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Quantized version of Step1X-Edit with some layers left as BF16 for higher accuracy. Fork with memory optimizations to use with it: https://github.com/rkfg/Step1X-Edit
Model tree for rkfg/Step1X-Edit-FP8
Base model
stepfun-ai/Step1X-Edit