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 text_encoder/pytorch_model.fp16.bin from Krebzonide/LazyMixPlus: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Krebzonide/LazyMixPlus/resolve/main/text_encoder/pytorch_model.fp16.bin
- Command line
-
hf download hf://Krebzonide/LazyMixPlus/text_encoder/pytorch_model.fp16.bin
-
curl -L -o pytorch_model.fp16.bin https://huggingface.co/Krebzonide/LazyMixPlus/resolve/main/text_encoder/pytorch_model.fp16.bin
246 MB
- Xet hash:
- 0c0575af749dc3f87bc4216e0167212fc784a3f5797cf3b0b07ec71fc8510eca
- Size of remote file:
- 246 MB
- SHA256:
- 9b2fd411f77857ba73b933950c3be06e702f986ce92b892adb0d572fccb6a557
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.