Instructions to use chebao/123123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chebao/123123 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("chebao/123123", dtype=torch.bfloat16, device_map="cuda") prompt = "chebao" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from chebao/123123: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/chebao/123123/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://chebao/123123@refs/pr/2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/chebao/123123/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- a4b5732fd3674ce4e78452f072b00c54474a2e94d96632568f2f7da9a608d9ab
- Size of remote file:
- 492 MB
- SHA256:
- 63b14b614f513aa089a8ab9bb933884ac8adca9eab992ff98a593ca62ada2e15
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