Instructions to use Sajjaeth/sanchoj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sajjaeth/sanchoj with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Sajjaeth/sanchoj", dtype=torch.bfloat16, device_map="cuda") prompt = "make sanchoj look like a super man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f1777bae8624bc5e01cbeff29ed55a1052bed087c329d11ce3ec0b21754bcb07
- Size of remote file:
- 492 MB
- SHA256:
- 3226f04f627905f046dc09021409ae7f574a474b0889c4fa487614361bcb5a42
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