Instructions to use chebao/stream-girl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chebao/stream-girl 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/stream-girl", 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/stream-girl: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/chebao/stream-girl/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://chebao/stream-girl/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/chebao/stream-girl/resolve/main/text_encoder/pytorch_model.bin
1.36 GB
- Xet hash:
- 3cbd8c0a889a725bda96033881ced46901e88d83e54c01deac20a0d4a7790695
- Size of remote file:
- 1.36 GB
- SHA256:
- d98562984631a55d09221bb50ee80c5bdb991efdcaf7058c2013b2843f6bf957
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