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
- Xet hash:
- 8cfc8b1eedf98f74e42020e181370ec197560641ba3fd3456a67f3c9244403e6
- Size of remote file:
- 4.51 GB
- SHA256:
- 8a88f8899c5c82cc0e35c71097080474955cb9a2204f7fb9abd2e9386ecabfb5
ยท
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