Instructions to use rootlocalghost/Z-Image-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rootlocalghost/Z-Image-Turbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rootlocalghost/Z-Image-Turbo", 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
- Local Apps
- Draw Things
- DiffusionBee
clone transformer/diffusion_pytorch_model-00003-of-00003.safetensors
Browse files
transformer/diffusion_pytorch_model-00003-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:aba4e37a590e63210878160a718d916d80398f4e1f78ab6c9b2b2a00d92769fa
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size 4672282880
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