Instructions to use callgg/z-image-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use callgg/z-image-decoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("callgg/z-image-decoder", 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:
- f459cd74b7868799ea82f97601a650afcedc399596dc262f302e3505761c9995
- Size of remote file:
- 8.04 GB
- SHA256:
- 6c671498573ac2f7a5501502ccce8d2b08ea6ca2f661c458e708f36b36edfc5a
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