Instructions to use TheCodingBug/Z-Image-Turbo-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheCodingBug/Z-Image-Turbo-int8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheCodingBug/Z-Image-Turbo-int8", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 97eca6b1db628f485a7b282e4fe9d95f3dbf7f5123e65a60cd0774cda80f540c
- Size of remote file:
- 6.18 GB
- SHA256:
- 4681d3c55a68a121ff897e2a06d3f8d9458b9d1053b9cd5af603916621801856
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