Instructions to use kebab111/lazymix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kebab111/lazymix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kebab111/lazymix", 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.bin from kebab111/lazymix: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/kebab111/lazymix/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://kebab111/lazymix/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kebab111/lazymix/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 696de7800cf8fe3dedeeaec6c793ac3d40363a2456df02a5980fef1dae0637dd
- Size of remote file:
- 492 MB
- SHA256:
- d8c0b9277444a1bf17b2763dc274f7b630fc64c4dc11d35cf7eadf8349f22505
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