Instructions to use igorshmel/pencil_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use igorshmel/pencil_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("igorshmel/pencil_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 igorshmel/pencil_style: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/igorshmel/pencil_style/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://igorshmel/pencil_style/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/igorshmel/pencil_style/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- a37ed06425305ac2e73251a409ce76b1b363af4c4dd3838fdd9595c3dbbf594a
- Size of remote file:
- 492 MB
- SHA256:
- 335fb6da8ce39039a4f155f0bc509a71989abed3ac94a2fcc3bdd6c7233e4de1
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