Instructions to use sh0xb0x/avatarbitch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sh0xb0x/avatarbitch with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sh0xb0x/avatarbitch", dtype=torch.bfloat16, device_map="cuda") prompt = "avatar101" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from sh0xb0x/avatarbitch: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/sh0xb0x/avatarbitch/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://sh0xb0x/avatarbitch/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sh0xb0x/avatarbitch/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- b48e2ddb88cb51ce4636fcde2f8f78a0f5f8309d542e5399ead6fbe331d3aae4
- Size of remote file:
- 492 MB
- SHA256:
- 8d01bd4cd8a6faca30c4d5ca1bd94c2a98bd7ed23dbcbd3483769ecf034a99f0
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