Instructions to use kebab111/LoliMeina with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kebab111/LoliMeina 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/LoliMeina", 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/LoliMeina: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/kebab111/LoliMeina/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://kebab111/LoliMeina/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kebab111/LoliMeina/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 9fd70a0ca88c23ca8a7c361c8728c9768e34ea6c0036af26e53cd34b28759ff2
- Size of remote file:
- 492 MB
- SHA256:
- adb6792d038b028c58e66141613e87ae96c8d6b14c4fd80528f2fc2ef54fcabb
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