Instructions to use codermert/ozgeefinal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codermert/ozgeefinal with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("codermert/ozgeefinal") prompt = "TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b3bf287aed8ef10d1316bfd48f45f3aceab8d29bb31f58937a73815cdeddb585
- Size of remote file:
- 172 MB
- SHA256:
- 73c7440c0111d4eba649d9dddcf3327492b5ed03290f06e0d7999b5eba5610c6
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