Instructions to use Zlikwid/zlikwidcomplete2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Zlikwid/zlikwidcomplete2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Zlikwid/zlikwidcomplete2", 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:
- 39fd2398cdc8ae67a0b1bc8d0e984eb0abaa1b107c6ca910b35f13005f4e0f47
- Size of remote file:
- 1.72 GB
- SHA256:
- 31bf1f213e28f69aed200c0bda2013d764097540e57e053d1c4bab123964d222
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