Instructions to use leewheel/Z-Image-Special-Edtion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use leewheel/Z-Image-Special-Edtion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("leewheel/Z-Image-Special-Edtion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| # Copyright 2025-present the HuggingFace Inc. team. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| from peft.utils import register_peft_method | |
| from .config import WaveFTConfig | |
| from .layer import WaveFTLayer, WaveFTLinear | |
| from .model import WaveFTModel | |
| __all__ = ["WaveFTConfig", "WaveFTLayer", "WaveFTLinear", "WaveFTModel"] | |
| register_peft_method(name="waveft", model_cls=WaveFTModel, config_cls=WaveFTConfig) | |