Instructions to use Lariatty/joopich with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lariatty/joopich with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lariatty/joopich", 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 Lariatty/joopich: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Lariatty/joopich/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Lariatty/joopich@refs/pr/3/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Lariatty/joopich/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 6d6a3143ae5be60034c0384ccb81997ffa5eceb4682ab2a82b1327f6405d8309
- Size of remote file:
- 246 MB
- SHA256:
- 20f67cb22b1548052c931381f08dfcc5729d396b3f4d6eb0feb66b006b2851ad
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