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:
- 8b8bf066b7f360f1fce41a9027f4bb07a2df3b1e398a964e4f58d4d1bde9b4b8
- Size of remote file:
- 2.13 GB
- SHA256:
- 235e2d49b6c8c31f0e5f51b643cec91ea9bd777a517189d2b8070129c7114e26
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