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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 32245497f2fc4657f67cac437602000f0799bf28514225b0566947ac3689debf
- Size of remote file:
- 168 MB
- SHA256:
- 69535ff1462b1cbc1662b4ee51260cebf97beca4512f1464d0ede32e05574cdc
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