Instructions to use WALIDALI/tripolitowly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WALIDALI/tripolitowly with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WALIDALI/tripolitowly", 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 WALIDALI/tripolitowly: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/WALIDALI/tripolitowly/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://WALIDALI/tripolitowly/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/WALIDALI/tripolitowly/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 9993ca57a40980f526729f5d2d2fb6055dd995835ea51eb426098c7548cc3816
- Size of remote file:
- 246 MB
- SHA256:
- 112957a9de9819d96ed8d6493a88c7c2240043609e53f1817a70ca821434cfe5
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