Instructions to use Yuuuna/RealisticSnapshotZImageTurbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yuuuna/RealisticSnapshotZImageTurbo 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("Yuuuna/RealisticSnapshotZImageTurbo") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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RealisticSnapshot-Zimage-Turbov5.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:182d7f92475b8d7f792203127738d31270403e86e007fdc7792d324a3406e556
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size 170127768
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images/b5c581707be7f7e9aed6537cebc55ce6.jpg
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Git LFS Details
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