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
- Draw Things
- DiffusionBee
- Xet hash:
- ef1b4a1d448db3005da55ea0a881f2aac686ee0b047b39957b386195e3cecded
- Size of remote file:
- 335 MB
- SHA256:
- 31ed852bbe84091156b4e5e313393e480e6a6b600b31b308c807799a87a51ea1
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