Instructions to use Krebzonide/LazyMixPlus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Krebzonide/LazyMixPlus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Krebzonide/LazyMixPlus", 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 Krebzonide/LazyMixPlus: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Krebzonide/LazyMixPlus/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Krebzonide/LazyMixPlus/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Krebzonide/LazyMixPlus/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- bc6dc677435c0c7dad256c8c5e2ebcefc71a3ab11b44319d2c5e3241ef49e5e6
- Size of remote file:
- 3.44 GB
- SHA256:
- 8ca6dfd8b9cda6f9e97c50d6905f8f7099fdf4858ab6a1c3a1cb46d8d7d6a02f
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