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:
- 2c155116ee2c5afd13a52a931f49c25f7390c07f49faa98d6d762edb8c5059b5
- Size of remote file:
- 3.44 GB
- SHA256:
- 87e0840786a9d8f63a6bdca26b7b777bdb28b619a108e4b3928620329117575a
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