Instructions to use NickKolok/CLZK3-R-converted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NickKolok/CLZK3-R-converted with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NickKolok/CLZK3-R-converted", 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:
- de70dfbff734b39becdc579a418b8c6e1e2b231010473604e9d8b86f76969434
- Size of remote file:
- 3.44 GB
- SHA256:
- da76bf66ac20f948f47f3dc14c20be21eb0f019938cf6a8b471dfa5a99cd0f6e
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