Instructions to use codermert/tugce2-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codermert/tugce2-lora 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/tugce2-lora") prompt = "DHANUSH" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 134 Bytes
c837a62 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:bafaa0e4ffbbf318b459d4b6b2a18d5fdfc860a1426a824abfe4279aa19d1a0a
size 173272836
|