Instructions to use CedarC/Z-Image_360 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CedarC/Z-Image_360 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("CedarC/Z-Image_360") prompt = "test" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
Z-Image_360.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:131e2aef25aacf1363efd9b2c88d142d1a68a9f50eac5f814263a81812c415ec
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size 170128280
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images/1765505225357__000006750_6.jpg
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Git LFS Details
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