Instructions to use wolfer45/zimage-rachelmcadams-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/zimage-rachelmcadams-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wolfer45/zimage-rachelmcadams-v1") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 267d44ebc19e455af55c3464e5d8b9b27d6ee68302ae43b1662523ef3b75dbc3
- Size of remote file:
- 170 MB
- SHA256:
- 00d9bb5ca8108c2747e75c0739674efb381fb8607dc98ffe0299bb66ec8e69e5
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