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/eval_res_en.png from stepfun-ai/Step1X-Edit-v1p1-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 435 kB
-
https://huggingface.co/stepfun-ai/Step1X-Edit-v1p1-diffusers/resolve/bcf70b81f0c7304bb97a5e96d9a8cb88406eaee1/assets/eval_res_en.png
- Command line
-
hf download hf://stepfun-ai/Step1X-Edit-v1p1-diffusers@bcf70b81f0c7304bb97a5e96d9a8cb88406eaee1/assets/eval_res_en.png
-
curl -L -o eval_res_en.png https://huggingface.co/stepfun-ai/Step1X-Edit-v1p1-diffusers/resolve/bcf70b81f0c7304bb97a5e96d9a8cb88406eaee1/assets/eval_res_en.png
435 kB

- Xet hash:
- ad009d1d8f5359404187cd12e43eaebabd47b5d2f30ccd3e3d153117a5d4e7ac
- Size of remote file:
- 435 kB
- SHA256:
- 12fb4b5fe83d00114806da6ec3bd1df77e293ec3fe5f1e951b466a7812dcec2d
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