Instructions to use kaancenk/falai_defne_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kaancenk/falai_defne_3 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("kaancenk/falai_defne_3") prompt = "defne" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7377744d9242356a37343439eaa507fbb36758959ce7caeba1a989173e1da441
- Size of remote file:
- 89.7 MB
- SHA256:
- 81463f9447d4b7f949d981dd41226ed4c96cdedd8581ea0536e1670fc141d766
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