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-00003-of-00004.safetensors from stepfun-ai/Step1X-Edit-v1p1-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 4.93 GB
-
https://huggingface.co/stepfun-ai/Step1X-Edit-v1p1-diffusers/resolve/324b333cd1e8256276c32950f2e0f6813611d518/text_encoder/model-00003-of-00004.safetensors
- Command line
-
hf download hf://stepfun-ai/Step1X-Edit-v1p1-diffusers@324b333cd1e8256276c32950f2e0f6813611d518/text_encoder/model-00003-of-00004.safetensors
-
curl -L -o model-00003-of-00004.safetensors https://huggingface.co/stepfun-ai/Step1X-Edit-v1p1-diffusers/resolve/324b333cd1e8256276c32950f2e0f6813611d518/text_encoder/model-00003-of-00004.safetensors
4.93 GB
- Xet hash:
- 921cb6dab2ebfbdca6fe60d9392ae041be039e97f2ce8615c7cb831865ada5f3
- Size of remote file:
- 4.93 GB
- SHA256:
- 09c1807c6d00d7cab94f7db39d4c02ebb8537225ccde383861ac48db97945aa6
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