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 = "Hi, what can you help me with?" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d34a98bea9fcc703046d069850b62f0b6d47410eff9273b4110ae15c21a4bd6
- Size of remote file:
- 4.51 GB
- SHA256:
- fbbf6508652b80142fb9c784d8b275cba03d2584bf0510df727ba8a7c91c39d0
ยท
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