Instructions to use xFutureTechx/Osea-Identity2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xFutureTechx/Osea-Identity2023 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xFutureTechx/Osea-Identity2023", dtype=torch.bfloat16, device_map="cuda") prompt = "My name is Julien and I like to" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- GenDigi_Extract
- 1.48 kB
- 4.51 GB xet
- 4.24 GB xet
- 4.24 GB xet
- 2.13 GB xet
- 4.51 GB xet
- 4.51 GB xet
- 4.51 GB xet
- 4.51 GB xet
- 4.51 GB xet
- 4.51 GB xet
- 4.51 GB xet
- 4.51 GB xet
- 4.51 GB xet
- 4.51 GB xet
- 37.9 MB xet
- 37.9 MB xet
- 37.9 MB xet
- 4.24 GB xet
- 4.51 GB xet
- 5.94 GB xet
- 4.51 GB xet
- 2.13 GB xet
- 2.4 GB xet
- 4.51 GB xet
- 4.51 GB xet
- 4.51 GB xet
- 4.51 GB xet
- 4.51 GB xet
- 4.51 GB xet
- 4.24 GB xet
- 4.51 GB xet
- 4.51 GB xet
- 4.51 GB xet
- 37.9 MB xet
- 4.1 GB xet
- 2.13 GB xet
- 37.9 MB xet
- 37.9 MB xet
- 37.9 MB xet
- 4.83 MB xet
- 37.9 MB xet
- 4.24 GB xet
- 4.24 GB xet
- 4.24 GB xet
- 4.24 GB xet
- 4.24 GB xet
- 4.24 GB xet
- 37.9 MB xet