Instructions to use oracleclyde/oracleclyde-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use oracleclyde/oracleclyde-custom with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("oracleclyde/oracleclyde-custom", dtype=torch.bfloat16, device_map="cuda") prompt = "oracleclyde" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from oracleclyde/oracleclyde-custom: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/oracleclyde/oracleclyde-custom/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://oracleclyde/oracleclyde-custom/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/oracleclyde/oracleclyde-custom/resolve/main/text_encoder/pytorch_model.bin
1.36 GB
- Xet hash:
- 94310584aa0c6b852afb3ba52a585880406c7025ca93b3c298904abe46d4e5a2
- Size of remote file:
- 1.36 GB
- SHA256:
- 6ee096363d4120056cc2a8e9093c9b5e49987971f8812d6b06b85e1c4ea6ce5d
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