Instructions to use INCModel/Z-Image-tiny-for-testing 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 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", 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:
- 66832898b16eb45f581c4b0eea1d44684ccbef22f0c91128f828cf6b54721be2
- Size of remote file:
- 157 MB
- SHA256:
- 88f45bd161c254d267c42d4845f2de1958b436023158cb2c7118f94a0428a385
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