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.fp16.bin from Krebzonide/LazyMixPlus: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/Krebzonide/LazyMixPlus/resolve/main/unet/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://Krebzonide/LazyMixPlus/unet/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/Krebzonide/LazyMixPlus/resolve/main/unet/diffusion_pytorch_model.fp16.bin
1.72 GB
- Xet hash:
- 24a34b34a8cb2b40071cb8ce89670929a40c924740548b1d8f68baac9fea49fd
- Size of remote file:
- 1.72 GB
- SHA256:
- faaf6939d8da24f8370cc4e626cce22b5222f7f8d2ce4ce00290fdde11248486
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