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
- Draw Things
- DiffusionBee
- Xet hash:
- 20ba58694cc534671e25af5addc028c456dcc29035e28bda40be2d68ceee3a4a
- Size of remote file:
- 329 MB
- SHA256:
- 71ab9394add1fa11c4d4c67834718dedc03ec3e3027d80daefc4d0a506829960
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