Instructions to use fal/Z-Image-Turbo-Control-2.1-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/Z-Image-Turbo-Control-2.1-FlashPack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/Z-Image-Turbo-Control-2.1-FlashPack", 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
- Xet hash:
- e624471f85a754b1446681a04b91db434ff538c1450505c3081e4c98128b8fef
- Size of remote file:
- 19 GB
- SHA256:
- 65192df8a21ddcbc48c1feab65cb420af01db1c02041f8483bd2e876bdb58b43
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