Instructions to use wolfer45/zimage-michellerodriguez-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/zimage-michellerodriguez-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-michellerodriguez-v1") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 23da4fcf61bb0f88eab6e07b34bfa2ae8041a80be31bb5d38740b87e848a935f
- Size of remote file:
- 170 MB
- SHA256:
- 1ac7a40aac6a014d96b8c18e8d35aa0017022980a516ac95f257e80adc8705d6
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