Instructions to use INCModel/Z-Image-tiny-for-testing-W4A16-AutoRound with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use INCModel/Z-Image-tiny-for-testing-W4A16-AutoRound with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("INCModel/Z-Image-tiny-for-testing-W4A16-AutoRound", 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:
- 4c5503f89e3ceebe049b83d5110e9296c1388e602dd7fb28a4d74cb03862843e
- Size of remote file:
- 11.4 MB
- SHA256:
- 7029094cd70eca33e2f5d6837051bd1b63789ebde3c05bcce93b0fb31c094a85
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