Instructions to use matgu23/wsmrl-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use matgu23/wsmrl-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("matgu23/wsmrl-style", 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 matgu23/wsmrl-style: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/matgu23/wsmrl-style/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://matgu23/wsmrl-style/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/matgu23/wsmrl-style/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 7d2825f1725f7229d0695fe4a8bdb6cc273eacfcbecf06092e01ed9d6a9f4762
- Size of remote file:
- 246 MB
- SHA256:
- 5aa8c8b1dc863f51aeb5ebb23cb66c4ffef2520b25386260bcecf348e0897b87
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