Instructions to use stepfun-ai/Step1X-Edit-v1p1-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stepfun-ai/Step1X-Edit-v1p1-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stepfun-ai/Step1X-Edit-v1p1-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download assets/arch.png from stepfun-ai/Step1X-Edit-v1p1-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 116 kB
-
https://huggingface.co/stepfun-ai/Step1X-Edit-v1p1-diffusers/resolve/main/assets/arch.png
- Command line
-
hf download hf://stepfun-ai/Step1X-Edit-v1p1-diffusers/assets/arch.png
-
curl -L -o arch.png https://huggingface.co/stepfun-ai/Step1X-Edit-v1p1-diffusers/resolve/main/assets/arch.png
116 kB

- Xet hash:
- 25100c46d37814a72c9f4b4560a8006784b5eb79cbbaf9d999168cffebf420ed
- Size of remote file:
- 116 kB
- SHA256:
- e350dd53520acd47e7e615cc624aa8a3268dd8a3f0ba404716b75a6cf5cda16b
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