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 text_encoder/model-00001-of-00004.safetensors from stepfun-ai/Step1X-Edit-v1p1-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 4.97 GB
-
https://huggingface.co/stepfun-ai/Step1X-Edit-v1p1-diffusers/resolve/bcf70b81f0c7304bb97a5e96d9a8cb88406eaee1/text_encoder/model-00001-of-00004.safetensors
- Command line
-
hf download hf://stepfun-ai/Step1X-Edit-v1p1-diffusers@bcf70b81f0c7304bb97a5e96d9a8cb88406eaee1/text_encoder/model-00001-of-00004.safetensors
-
curl -L -o model-00001-of-00004.safetensors https://huggingface.co/stepfun-ai/Step1X-Edit-v1p1-diffusers/resolve/bcf70b81f0c7304bb97a5e96d9a8cb88406eaee1/text_encoder/model-00001-of-00004.safetensors
4.97 GB
- Xet hash:
- c78d2c57ae8a8ee17f9d138c868b4f6ddbd7148929b1fa136d39a7e2da3e7931
- Size of remote file:
- 4.97 GB
- SHA256:
- d725335e4ea2399be706469e4b8807716a8fa64bd03468252e9f7acf2415fee4
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