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
- Xet hash:
- cf63b6ca9edb4c944f2a9be09be17d59a4e2c72f4ff2a0817fbccbafbae40e80
- Size of remote file:
- 335 MB
- SHA256:
- f4487eaa8df19a5254ce83a01d402e93d2b6acba769ed9bfeddc6849cd808745
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