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:
- 95a654783b932d3d3b370254b9c73a72bc1e3e8945f04d1b69897514695aba0a
- Size of remote file:
- 4.41 GB
- SHA256:
- 48e4626e596b4eddb7ddf2266da09288e327b8206b8555efa89869101577d5b9
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