Instructions to use Grigsss/slimhoods with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Grigsss/slimhoods with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Grigsss/slimhoods", dtype=torch.bfloat16, device_map="cuda") prompt = "slimhoods" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from Grigsss/slimhoods: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Grigsss/slimhoods/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Grigsss/slimhoods/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Grigsss/slimhoods/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 03fd44ed0d202523957edf73edb21092eb39f89e92f0e5ecdfe52f6e9524544d
- Size of remote file:
- 492 MB
- SHA256:
- 1db33f97754418c7a0ea2f80406cfb1fb6e86b2923b3d4e6081f2f21f2fe11e2
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