Instructions to use NickKolok/CLZK3-M-converted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NickKolok/CLZK3-M-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-M-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 Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from NickKolok/CLZK3-M-converted: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/NickKolok/CLZK3-M-converted/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://NickKolok/CLZK3-M-converted/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/NickKolok/CLZK3-M-converted/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 284bc03200a74ac0a4eb09fb54a511e7d2edd81baab9d9c8887887c85fbf47f6
- Size of remote file:
- 3.44 GB
- SHA256:
- c34289547dfa3324a7b80246ea9047ac4c9094f008ed1f33003c7c6b7a78e923
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