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 model_index.json from stepfun-ai/Step1X-Edit-v1p1-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 441 Bytes
-
https://huggingface.co/stepfun-ai/Step1X-Edit-v1p1-diffusers/resolve/e2ce0ac2e35192cf4a1da335c6217e717e365478/model_index.json
- Command line
-
hf download hf://stepfun-ai/Step1X-Edit-v1p1-diffusers@e2ce0ac2e35192cf4a1da335c6217e717e365478/model_index.json
-
curl -L -o model_index.json https://huggingface.co/stepfun-ai/Step1X-Edit-v1p1-diffusers/resolve/e2ce0ac2e35192cf4a1da335c6217e717e365478/model_index.json
441 Bytes
| { | |
| "_class_name": "Step1XEditPipeline", | |
| "_diffusers_version": "0.35.0.dev0", | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "Qwen2_5_VLForConditionalGeneration" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "Step1XEditTransformer2DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKL" | |
| ], | |
| "processor": [ | |
| "transformers", | |
| "Qwen2_5_VLProcessor" | |
| ] | |
| } | |