Instructions to use dimitribarbot/Z-Image-Turbo-BF16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dimitribarbot/Z-Image-Turbo-BF16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dimitribarbot/Z-Image-Turbo-BF16", 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
Z-Image-Turbo (BF16)
This is a BF16 version of Tongyi-MAI/Z-Image-Turbo to avoid downloading transformer FP32 version while casting it to BF16 (12.3 GB instead of 24.6 GB).
License & Usage: This model strictly follows the original licensing terms and usage restrictions. Please refer to the original model card for details.
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Model tree for dimitribarbot/Z-Image-Turbo-BF16
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Tongyi-MAI/Z-Image-Turbo